Mike HeapMike is an experienced Product Manager who focuses on all the “non-development” areas of My AskAI, from finance and customer success to product design, copywriting, testing and more.
Table of Contents
- My AskAI vs Macha AI at a glance
- What AI can I use to reply to support tickets?
- How does an AI customer service agent work?
- What are the different ways I can use an AI agent?
- Direct replies
- Copilot replies
- Internal note replies
- Which is easier to setup, Macha AI or My AskAI?
- How do My AskAI and Macha AI differ in what they can be trained on?
- 'Static' content
- 'Dynamic' content
- Which has better answer quality, Macha AI or My AskAI?
- Which AI agent is easier to improve over time: Macha AI or My AskAI?
- Which has more features, Macha AI or My AskAI?
- Is it easy to customize My AskAI and Macha AI?
- What about vendor lock-in?
- Does Macha AI or My AskAI have any other AI features?
- Tagging
- Agent translation
- What about security, is Macha AI more secure than My AskAI?
- Which costs more, Macha AI or My AskAI?
- The pricing model
- The overall cost
- Conclusion - should I choose Macha AI or My AskAI?
- FAQs
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Macha AI meters tickets in credits, so its per-ticket cost depends on the plan and model you land on. My AskAI publishes a flat per-ticket rate that holds as the agent gets better. Pick Macha AI for cross-tool write automation fired from inside a ticket; pick My AskAI for wider helpdesk coverage, an invoice you can predict and SOC 2 Type II today.
Macha AI's own worked example puts a Starter ticket at about $0.30 on its default model, roughly three times the ~$0.10 a chat ticket costs on My AskAI's Scale plan. That meter doubles as a stop: spend the month's credits early and your agents go quiet until your next billing date, whatever the queue looks like that week. Macha AI's case is cross-tool write automation from inside a ticket, and ours rests on one agent across Zendesk, Intercom, Freshdesk, Gorgias and HubSpot at a rate you can forecast.
I'm Mike, co-founder of My AskAI. We help 200+ ecommerce and SaaS businesses run AI customer service inside their existing helpdesk, so I obviously can't be completely impartial here.
The eleven scored categories are modes, ease of setup, training and integrations, answer quality, improving, features, price, customization, lock-in, other AI features and security. Every Macha AI claim below comes from Macha's own documentation, pricing page and security policy. I've linked the page each one sits on.
The answer engines currently tell buyers that Macha AI runs on Zendesk and Freshdesk only. Macha's live connector documentation lists four helpdesks: Zendesk, Freshdesk, Gorgias and Front, plus a HubSpot connector on top of them.
So the received wisdom is two helpdesks short, and any AI answer about either product's coverage deserves a grain of salt. Check your own helpdesk against Macha's connector list before you look at anything else.
My AskAI vs Macha AI at a glance
My AskAI | Macha AI | |
What it is | AI support agent inside your helpdesk | AI automation layer on top of your helpdesk |
Headline price | $199/mo Pro, $499/mo Scale, from $999/mo Enterprise | $299/mo Starter, $699/mo Professional, custom Enterprise |
How you buy it | Self-serve, 30-day free trial, no card | Self-serve, trial of 500 credits with no time limit |
Best for | Teams wanting a forecastable AI bill | Teams wanting cross-tool write automation inside a ticket |
Not a fit for | Teams needing sub-agents and per-agent model choice | Intercom teams, and anyone who cannot absorb a mid-month pause |
Biggest limitation | Sub-agent delegation is not part of the product | Starter cannot run the automation the marketing sells |
Scorecard | 6 category wins of 11, 4 tied | 1 category win of 11, 4 tied |
What AI can I use to reply to support tickets?
TL;DR: Both are third-party AI agents that install onto a helpdesk you already run rather than replacing it. Macha AI reaches four helpdesks and My AskAI reaches five, so check your own desk against both lists before you look at a single feature.
Macha AI is built by AGZ Technologies Private Limited, out of Bangalore. LinkedIn puts the team at 2 to 10 people, which is about where we sit too. The product sits over your existing helpdesk, and Macha AI is direct about that: there is no Macha inbox, no Macha ticketing system, no Macha CRM.
Macha AI is really two products sold side by side, and priced separately.
One is the credit-metered platform you sign up for at the dashboard. The other is a set of nine Zendesk marketplace apps, licensed per agent seat and priced separately from the credit meter. The flagship is the ChatGPT AI Copilot app, which carries 100+ installs.
My AskAI works the same way at the top level. It is an AI agent that installs into Zendesk, Intercom, Freshdesk, Gorgias or HubSpot, answers tickets in that helpdesk's own channels, and hands over to your team when it should. You keep your desk, your agents, your macros and your routing.
How does an AI customer service agent work?
TL;DR: Both read your knowledge, draft an answer, then either send it or hand it to an agent. Macha AI is built around a tool surface and My AskAI around resolution inside the helpdesk, so each one is easy to point at a different kind of job.
Macha AI states its own architecture clearly, and I will give the team credit for that. The product is built around the tool surface rather than the chat box.
Five pieces make up a deployment: agents, tools, connectors, triggers and data sources. A single Macha agent typically has 8 to 20 tools active, and the agent picks which to call.
Tools split into reads and writes. Macha's connector documentation is upfront about what happens when a trigger fires an agent on its own:
"In autonomous mode (when the agent is running off a trigger), there is no human in the loop. Write actions execute immediately, with no confirmation step."
Macha AI, connector documentation
Macha AI also publishes its own essay on agent design if you want the longer version.
My AskAI works from the ticket backwards. The agent reads your help center, your website, your files and your historic tickets. It answers inside the helpdesk's own channel.
When it cannot answer, or the customer asks for a person, it hands the conversation over. It writes a summary as an internal note first.
Actions run through Tasks and Tools: Tasks are the multi-step procedures you describe in plain language, Tools are the API calls inside them. You decide per action whether it runs on its own or gets drafted for a human to approve.
Our own AI resolution rate benchmark study covers 195 rated deployments across 38 vendors. The published median sits around 70%.
Three caveats travel with that number: it is an aggregate across the whole field. Every vendor defines resolution its own way, so I read it as directional. And it is self-selected: vendors publish their good numbers, which lifts the ceiling.
What are the different ways I can use an AI agent?
TL;DR: Both do direct customer replies and a behind-the-scenes copilot. My AskAI adds internal-note replies inside the helpdesk, and Macha AI adds a Slack surface plus a Chrome extension that carries the copilot onto desks beyond Zendesk.
Direct replies
This is the main mode on both sides. Macha AI answers email tickets and live chat, and offers an embeddable Macha Chatbot for websites. Each of its four helpdesk connectors documents a customer-facing public-reply tool, so the agent can answer the customer in the desk's own channel.
My AskAI does the same across Zendesk, Intercom, Freshdesk, Gorgias and HubSpot, in whatever channel the helpdesk routes to it. If your desk handles Instagram or WhatsApp as conversations, the agent answers those too.
Macha AI documents no voice, phone, IVR or SMS channel. Its connector inventory, its pricing page's inclusions block and its integrations index list no such channel.
Copilot replies
Macha AI's Copilot is a widget. Inside Zendesk it sits as a native side pane; elsewhere it arrives through a Chrome extension (the same route we take).
There is also a Slack surface, plus a second in-product assistant called Sidekick that builds and rewrites agent instructions. Copilot widget, Sidekick and the Chrome extension are all included on every Macha plan.
Our copilot is the AI Copilot Chrome Extension. It works inside any of our integrated helpdesks, carries no seat charge, and is included on every plan.
Internal note replies
This mode is ours. My AskAI drafts a full reply on every ticket and writes it as a private internal note, so customers see nothing.
It is the standard on-ramp: run the agent alongside whatever AI you have today, read its drafts for a fortnight, then flip it to direct replies. It doubles as an agent productivity tool afterwards.
Macha AI's documentation covers ticket notes as a write tool the agent can use. It does not document an equivalent shadow mode where every ticket gets a drafted reply for review.
Which is easier to setup, Macha AI or My AskAI?
TL;DR: Macha AI's Zendesk path is the fastest route either product offers, because Macha wires its own webhooks there, the small connection that tells your helpdesk to send new tickets to Macha. Every other helpdesk on Macha needs you to configure the webhook by hand, which is where My AskAI's flat setup pulls ahead.
Macha AI markets zero to a working agent in under 10 minutes, and the on-ramp backs it up. Signup is a passwordless email code, and I counted three onboarding steps.
Then Macha opens a welcome conversation that pulls real records from the tool you just connected, and charges no credits for it. Few vendors bother with that. You see the agent working against your own data before you have spent anything.
Zendesk is the only connector Macha auto-wires, and on the other three you set up the webhook yourself.
I found Macha's own docs clear enough to walk you through it per platform. Gorgias is configured under Settings, Integrations, HTTP integrations; Front under Settings, Rules with the send a webhook action; Freshdesk through an automation rule.
All of it is straightforward work for someone who knows their way around helpdesk admin.
There is also a paid onboarding track. Macha AI sells a White-Glove Launch at $799 one-time, six guided sessions over four to six weeks, which sits oddly next to the under-10-minutes line. Both are true; they are aimed at different buyers.
My AskAI is three steps on Zendesk, Intercom, Freshdesk, Gorgias or HubSpot. Sign up with your work email, connect your knowledge, then install the app from your helpdesk's marketplace.
There is no webhook to configure on any of them, and no developer needed for a standard setup. Most teams are answering tickets in internal-note mode inside 15 minutes.
A third-party agent installs into a helpdesk one of two ways: as an approved marketplace app, or as an API integration.
We favor the app. It has cleared the marketplace and helpdesk approval process, so the helpdesk knows it is there. That makes it the more stable route, and much less likely to be taken down.
How do My AskAI and Macha AI differ in what they can be trained on?
TL;DR: Macha AI reads Google Docs, Sheets, Notion and Confluence live at query time. It caps a website crawl at 200 pages and freezes uploaded files until you delete and re-upload them.
ㅤ | My AskAI | Macha AI |
Help center | ✅ | ✅ (live Help Center sync on Zendesk) |
Past tickets | ✅ (last 5,000 by default) | ✅ (every plan) |
Website crawl | ✅ | ✅ (capped at 200 pages) |
File uploads | ✅ (PDF, DOCX) | ✅ (10 files at a time, 20 MB each) |
Notion | ✅ | ✅ (read live) |
Confluence | ✅ | ✅ (read live) |
Google Drive, Docs, Sheets | ✅ | ✅ (read live) |
Shopify | ✅ | ✅ |
Stripe | Via User Data API | ✅ |
Internal-only marking | ✅ | Not documented |
Sources included on entry plan | Unlimited | 3 |
'Static' content
Both sides ingest the usual set: help center articles, website pages, uploaded documents and past tickets.
Macha AI's upload path takes PDF, CSV, XLSX, DOCX and TXT, ten files at a time at 20 MB each. A CSV or XLSX under 2,000 rows gets injected whole into the agent's prompt, which I think is smart design for price lists and shipping tables.
The website crawler stops at 200 pages, it is never monitored, and a refresh is a manual Resync. Uploaded files never refresh on their own either. Macha's data sources documentation is direct about it: delete the old version and re-upload.
The count also bites at the entry tier. Macha's pricing page sells 3 knowledge sources (any type) on Starter, 10 knowledge sources (any type) on Professional and unlimited knowledge sources on Enterprise. Three sources is a help center, a website and one document.
My AskAI syncs most connectors every 24 hours, websites fortnightly, with a manual refresh on any item. You can mark individual files or pages as internal only, which keeps them available to the copilot and to Slack while never surfacing them to a customer.
If you have no help center to point at, your tickets can stand in. Our Train on Historic Tickets feature auto-drafts starter knowledge from your past tickets, 5,000 of them by default, and those drafts land in Self-Learning for your team to edit. Teams with nothing written down get going from what they have already answered.
'Dynamic' content
Macha AI's live sources are stronger than ours here. Google Docs, Google Sheets, Notion and Confluence are read at query time instead of being cached, so a price change in a spreadsheet is live the moment you save it. Shopify, Stripe and the rest of the connector list are queried as tools during the conversation.
My AskAI reaches live data through the User Data API, which connects your CRM, billing system or order database so the agent can answer "where is my order?" with the real answer. Shopify is a pre-built connector for product, order and customer lookups, and it works with Shopify Markets across languages, currencies and stores. Anything else is a Tool you point at your own system, wherever that data already lives.
Which has better answer quality, Macha AI or My AskAI?
TL;DR: Nobody independent has benchmarked these two against each other, so treat any head-to-head number with suspicion. My AskAI publishes a resolution rate with named customer outcomes. Macha AI has decided against quoting one at all.
Macha AI publishes no resolution or deflection rate anywhere, and that is deliberate. Its pricing FAQ answers the question "Do I pay per resolution?" like this:
"No, you pay per ticket, whatever the outcome. Macha is an automation platform, not just a deflection bot"
Macha AI, pricing page
I have some sympathy with the position. It is coherent, and it fits a product that spends most of its time doing things and only some of it answering questions.
It leaves you unable to forecast anything before you buy. You can measure your own rate after deployment, through Macha's evaluation tooling.
On our side, we count a conversation as resolved if it was not escalated to a human. It is a basic signal, and it holds up because escalation is easy.
The customer can ask for a person in any number of ways. The agent hands off when it cannot answer, when it detects frustration, or when the ticket hits a topic you have configured for escalation. We do not claim to know an issue was truly solved without the customer confirming it.
The numbers behind that definition are published with names attached. Edel Optics, a European eyewear retailer running Zendesk, sits at 79% AI resolution and 92% AI CSAT across 4,067 tickets, saving around 150 hours a month.
Swytch, the UK e-bike conversion kit brand, resolves 4,050+ tickets a month entirely with AI at 81% deflection. Inspire Uplift, an ecommerce marketplace handling about 6,100 tickets a month, sits at 21% AI resolution by design. Their escalation guidance deliberately routes around 77% of tickets to humans, and they still save about 105 hours a month.
Macha AI names customers too. Didriksons, myMuesli, Corkcicle and Crumb are on the logo wall (Crumb, Didriksons and Cortex IO also give named testimonials).
No outcome metric sits next to any of those names.
AI-tool directories still carry resolution percentages for Macha AI, and every one of them traces back to case study pages Macha AI has since taken down. Those URLs now serve the homepage, so treat the directory figures as dead.
For where the field sits, our published benchmark corpus of 195 rated deployments is the better reference, with those three caveats attached. I wrote up why most published resolution rates deserve a raised eyebrow in this post on the published median.
Which AI agent is easier to improve over time: Macha AI or My AskAI?
TL;DR: Macha AI grades every trigger-fired conversation against the agent's own instructions and gives that away on every plan. Our loop runs itself: Self-Learning drafts new knowledge on every account, Insights scores all of it, and Echo answers why any single reply came out that way.
Macha's Auto-Eval is turned on by default for every customer on every plan, trial included. A model judge grades each trigger-fired conversation against the agent's live instructions and returns five things: whether the instructions were followed, why, whether the conversation resolved, the customer's sentiment, and a category.
Those roll into an adherence score, calculated as yes answers plus half the partial ones over the total, and charted over time. Every fifty graded conversations, Macha writes you a note with two to four concrete instruction tweaks that would lift the score.
A support lead can act on that on a Monday morning without a data request. Getting it free on the entry plan is the part I did not expect.
Macha's evaluation documentation contradicts itself on how many conversations Auto-Eval covers: one page says there is no cap, another states a fifty-conversation-per-agent cap. I would not plan capacity around either number until Macha settles it.
The deeper tooling is also gated. Manual Agent Evaluations are available on the Professional and Enterprise plans, and Studies, the bulk analysis surface, tells Starter customers to upgrade to Professional. Even the Studies report view is a Professional and Enterprise feature, so Starter sees an upgrade card where the dashboard would be.
Our Self-Learning compares what the agent said to what your human agent said after a handover, then drafts new knowledge articles from the difference, week after week. It works in direct-reply mode and in notes mode, and it is on for every customer we have, with no tier in front of it.
Insights groups every conversation into topics and scores 100% of them for AI CSAT, against the 2% to 10% sample most teams live with. It emails you when a new topic appears.
Echo is where you go for a single answer: ask it why the agent replied that way, which knowledge source it used, or why a CSAT score landed where it did. Echo will then write, merge and test the Guidance you change as a result.
We built ours to need less driving, so Self-Learning, Insights and Echo run the loop and tell you when to look.
Where the two of us part is the tier line. Macha gives away the grading and gates the deeper analysis to Professional and Enterprise, while every piece of our loop runs on the plan you already bought. That evens this category out.
Which has more features, Macha AI or My AskAI?
TL;DR: Macha AI has the broader surface area, and sub-agents, per-agent model choice and a free public API are the parts a support team would feel. My AskAI covers the support-specific set most teams use every day.
ㅤ | My AskAI | Macha AI |
Customer replies in the helpdesk | ✅ (Zendesk, Intercom, Freshdesk, Gorgias, HubSpot) | ✅ (Zendesk, Freshdesk, Gorgias, Front) |
Agent-side copilot | ✅ (Chrome extension, all plans) | ✅ (widget and Slack, all plans) |
Internal note replies | ✅ | Not documented |
Multi-step actions (refunds, cancellations) | ✅ (Tasks and Tools) | ✅ (write tools) |
Sub-agents with delegation | Multibrand agents instead | ✅ |
Custom API tools | ✅ (metered add-on) | Professional and above |
Scheduled triggers | — | Professional and above |
In-product build assistant | ✅ (Echo) | ✅ (Sidekick) |
Automatic conversation grading | ✅ (AI CSAT on 100%) | ✅ (Auto-Eval, all plans) |
Bulk analysis over past tickets | — | Professional and above |
Self-learning from agent replies | ✅ | Not documented |
Public REST API | $49/mo add-on, free on Scale | ✅ (no credit cost) |
Macha AI's spread is real. Sub-agents let one agent delegate to another, which is how you keep a billing specialist and a shipping specialist from tripping over each other. Sidekick builds and rewrites your instructions conversationally, free and credit-free.
Triggers fire agents on helpdesk events. Seven native Zendesk events are wired automatically. The rest are set up by hand: three on Gorgias (ticket created, ticket updated, and new message added), three on Front (conversation created, new message added, and conversation assigned) and two on Freshdesk.
File Tools read XLSX, CSV, PDF and DOCX with no connection required. There is a documented REST v1 with an OpenAPI spec, and it costs zero credits on every plan.
Starter is where this breaks down, so read Macha's plan table twice. Macha's custom tools documentation gives the limits as assignment slots: assigning the same tool to three agents counts as three slots.
The slots are set at "Trial / Starter: Not available", "Professional: 5 tool assignment slots" and "Enterprise: 20 tool assignment slots". The pricing table still advertises 3 custom API tools on Starter, so the two disagree. I read the documentation as the one describing the product.
Scheduled triggers are not included on Starter either, and Studies are capped at 20,000 records per run. Starter also caps you at 3 agents, 3 integrations and 3 knowledge sources. A Starter customer cannot build the automation the marketing is selling.
There is also an AI Tool Builder, currently sitting in Macha's experiment labs and not in any plan.
Our set is pointed squarely at the support desk. Tasks handle multi-step procedures in plain language, so refunds, cancellations, exchanges and order updates run without a decision tree. Each one runs autonomously or as propose-then-approve, depending on how much rope you want to give it.
Guidance steers tone, terminology and forced handovers in natural language, and Multibrand gives each brand or region its own agent. Insights, tagging and the User Data API round it out.
On Shopify, our agent also recommends products out of the box, so pre-sales questions do not have to bounce to a human.
Is it easy to customize My AskAI and Macha AI?
TL;DR: Macha AI's knobs are architectural: a tool set you assemble, sub-agents to route between, and a model picked per agent, with the custom tool slots and the scheduled triggers sitting above the entry tier. Ours are written in English, and Guidance, Custom Answers, Tasks and Multibrand all land on Pro.
Instructions are the primary lever. Macha's docs suggest drafting them in ChatGPT or Claude first and pasting them back, which is a sensible admission that writing good agent instructions is hard.
Model choice is set per agent, so you can put a cheaper model on order-status questions and a stronger one on billing disputes. The picker on Macha's pricing page runs wider than the credit table implies, with OpenAI, Anthropic and Groq options in it.
I like how Macha handles tool control. Disable a tool at the connector level and, in Macha's words, Macha silently skips it: the agent never sees the tool, can't call it, and can't be tricked into thinking it has access. That is enforcement at the connector level, which the agent cannot talk itself around.
Set against that, autonomous mode has no human in the loop by design. Write actions execute immediately, with no confirmation step, and Macha's docs carry their own warning about it.
That is the price of the automation. Decide up front which write tools you are comfortable handing over.
Our own surface is wider than a feature table makes it look, and the core of it lands on Pro. Guidance is natural-language rules that control tone, terminology, scenarios and forced handovers, across three types: communication and style, context and clarification, and handover and escalation.
Custom Answers pin an exact reply to a question, which is what you want for the regulated or scripted wording your compliance team signed off, and it is where a Zendesk macro export lands. Multibrand then runs a separate agent per brand, region or product, inside your helpdesk's own routing.
Tasks and Tools are a customization lever as much as a feature. You describe a multi-step procedure in plain language, then set per action whether it fires on its own or drafts for a human to approve, which is the switch teams move most as their trust builds.
Echo is the piece I point people at first, because it lets you configure the rest by asking. It writes, edits and merges Guidance, manages your Custom Answers and Self-Learning articles, and takes document and image uploads, so a screenshot of another vendor's flows comes back as Tasks, Guidance and Custom Answers.
So both sides hand you plenty to turn. What differs is where the knobs live, in Macha's architecture and in our wording, which changes how you drive more than how far you get, and this category comes out a tie.
What about vendor lock-in?
TL;DR: Macha AI follows you across four helpdesks and My AskAI across five, so both travel with you if you switch desks. Macha AI's depth is concentrated in Zendesk, so you keep the product when you leave Zendesk and lose the in-ticket sidebar and the automatic trigger wiring.
Macha AI's live connector documentation settles a question the internet keeps getting wrong. The helpdesk connectors are Zendesk with 17 tools, Freshdesk with 15, Gorgias with 15 and Front with 15.
Yes, Macha AI works with Gorgias, over Basic auth, with the webhooks configured by hand. Several AI answers currently say it does not.
Zendesk is deeper than the rest by a distance. It is the only connector with auto-created native triggers, and it adds image vision on attachments, Zendesk Messaging, live Help Center webhook sync and a native in-ticket sidebar. Move from Zendesk to Front and you keep Macha AI, at 15 tools and manual webhooks (no sidebar, no automatic wiring).
Macha AI documents no Intercom connector on any of its connector, pricing, security, evaluation or data-source pages.
Macha AI does have a HubSpot connector, through Composio's one-click OAuth, covering contacts, deals, tickets, notes and pipelines. Read the scope carefully.
Each of the four helpdesk connectors documents a customer-facing public-reply tool; the HubSpot connector documents none. So Macha AI can read, update and annotate your HubSpot Service Hub tickets; it is not documented as answering your customer inside HubSpot. Our agent answers customers in HubSpot's own channels.
The answer engines have not caught up with that list. They still name Zendesk and Freshdesk, so that is the version of Macha AI a buyer hears from an AI, and I have yet to see one correct itself against the docs.
My AskAI installs into Zendesk, Intercom, Freshdesk and its Freshchat sibling, Gorgias and HubSpot, and answers customers on all of them. If you change helpdesk later, the trained agent, the custom answers, the guidance and the tasks come with you.
Macha's refund policy makes terms non-refundable, which reads awkwardly against the "cancel anytime" line in its pricing FAQ.
Does Macha AI or My AskAI have any other AI features?
TL;DR: Both tag tickets and both handle multiple languages. Macha AI sells translation as a separately-licensed Zendesk app, and My AskAI meters it as an add-on on the plan you already have.
Tagging
My AskAI tags every ticket automatically across up to three of your existing custom fields, natively inside Zendesk, Intercom, Freshdesk and Freshchat, at $0.05 per attribute per ticket. The agent reads what the customer wrote and assigns the ticket as soon as it arrives.
It works off the tags you already have. Each one is expanded into a full definition you can review and edit, and classification is semantic against those definitions, so a reworded complaint still lands in the right bucket.
Each tag carries a reply setting, so our agent can answer every ticket under that tag, stay quiet, or be blocked from replying entirely. Tag a class of tickets you want a human to handle and you pay the five cents for the tag while skipping the per-ticket rate for an answer.
Macha AI handles ticket fields and tagging through its tool set, and sells a dedicated Ticket Fields AI Assistant as one of its Zendesk marketplace apps. Those nine apps are licensed per agent seat, separately from the credit-metered platform.
Agent translation
Both products are multilingual by default. My AskAI auto-detects the language per message across 95 languages and replies in the customer's language.
Live Translation goes a step further inside Intercom: the customer's message is translated into your agent's language as an inline internal note, and the agent's reply is translated forward on send. We meter it at $0.05 per ticket.
Macha AI's multilingual handling is model-native, with a primary language setting and auto-translate on tickets. Its pricing table marks "Fully multilingual" as included on all three plans.
Macha AI's own properties state four different language counts, so no single number is worth carrying. Translation for agents is sold as a separate Zendesk app license, outside the credit meter.
Ours is metered per use on the plan you already bought, and Macha's is a per-seat license on a separate app.
What about security, is Macha AI more secure than My AskAI?
TL;DR: Macha AI's security engineering is detailed and specific for a company its size. It falls short on certification: no SOC 2 yet, no ISO 27001, no HIPAA, and email one-time codes as the only documented sign-in.
Macha AI's security policy is more specific than most vendors of its size bother with. Data is encrypted with AES-256-GCM at rest, with field-level encryption and keys derived and stored separately.
Traffic runs over TLS 1.2 or higher, and primary infrastructure sits in Frankfurt. Retention defaults to 45 days and expires automatically. GDPR data-subject requests are fulfilled in JSON or CSV, and there is a documented seven-step incident response plan.
Personal data can be stripped or tokenized before it reaches a model provider, though that control is gated. Macha includes an optional PII anonymization control (available on Pro plans). Macha itself notes it does not automatically detect personal names or other free-text identifiers written in prose.
Macha's tier table surprised me here. Both the audit log and GDPR data residency options are marked as included on all three Macha AI plans, Starter included. The only Enterprise-gated security control the policy documents is a custom retention window.
The gap is certification. Macha's own position, in its own words:
"We are in the process of obtaining SOC 2 certification"
Macha AI, security policy
That is where the position stood previously as well, so the timeline has moved without the certificate arriving. There is no ISO 27001, no HIPAA and no BAA.
Sign-in is an emailed one-time code, with no documented SAML or SSO. I read that as a hard stop for most enterprise security reviews. Role-based access has exactly two roles.
If you read that page yourself, the SOC 2 Type II line on it belongs to a sub-processor. Composio is SOC 2 Type II and ISO 27001:2022 certified.
Composio is the OAuth broker behind several of Macha's connectors, including HubSpot. Those certificates are Composio's own.
My AskAI holds SOC 2 Type II and is GDPR compliant, with AES-256 at rest and TLS in transit, and your data is never used to train models. The Scale plan includes the SOC 2 Type II report itself. For a support tool handling customer conversations in a B2B SaaS or ecommerce business, that pairing is what we get asked for in security reviews.
Which costs more, Macha AI or My AskAI?
TL;DR: Macha AI's headline rate holds on one model, on annual billing, on the higher tier. On the default model at the entry tier the same ticket costs roughly three times that, and when the credits run out the agents pause.
The pricing model
Macha AI bills credits against ticket-threads. In its own words on the pricing page: Macha bills by ticket-thread, so an email ticket, a live chat, or a Copilot chat each count as one ticket and one charge, however many messages it takes. That part is clean and easy to reason about.
The rate is the moving part. The model you choose sets the credits per ticket: 1 for the small model, 2 for the mid one, 3 for the default.
Macha's own worked example runs it through. Starter is $299 a month with 3,000 credits (1,000 tickets at the default model), or about $0.30 a ticket. Professional works out at about $0.21.
The homepage advertises $0.11 a ticket, and that figure is Professional, on annual billing, on the mid model. Whenever you see a Macha per-ticket number, ask which plan, which model and which billing term. All three have to be stated together for it to mean anything.
There are no overages on Macha AI, ever.
When you run out, your agents pause until credits reset on your next billing date (nothing is lost, and your agents, integrations and knowledge sources stay configured). That is runaway-spend protection that turns a billing event into a production outage in the middle of a busy month.
Usage alerts fire at 50%, 80% and 90%. Top-ups run at 1,000 credits for $99, 5,000 for $449 and 10,000 for $799, never expiring. So the practical answer to a spike is to buy credits at a worse rate than your plan gives you.
I count four live Macha price lists.
The credit meter is one. The nine Zendesk apps are licensed per agent seat, which is two, and those apps also carry per-reply bundles, which is three.
The fourth is a retired plan still live in Macha's help center. It tells you that Macha keeps pricing simple at $15 per agent per month, with unlimited usage and all features included, no tiers and no feature locks. It adds that plans start for a minimum of 3 agents.
A buyer cannot answer "what will this cost me?" from Macha's own properties without deciding which of the four to believe.
My AskAI bills against a monthly plan: the core per-ticket rate is flat and doesn't rise as resolution improves, with usage-based add-ons billed only when used. Pro is $199 a month with 1,000 tickets included, then about $0.12 a ticket.
Scale is $499 with 2,000 included, then $0.10, and it unlocks unlimited team seats and the SOC 2 Type II report. Enterprise starts at $999.
A helpdesk chat ticket costs about $0.10 and an email ticket about $0.15, and the core rate does not rise as the agent gets better. Usage-based add-ons, tagging and live translation among them, are priced per use and billed only when used.
On seats, Macha AI is ahead of most of the market: unlimited team seats on every plan, where most of the market charges per seat. We match it on Scale, at five seats on Pro.
Before you pay for either, our trial is 30 days, all features unlocked, unlimited tickets and no card. Macha's trial unlocks the full platform with 500 credits worth $50 and no time limit, so the ceiling is about 166 tickets on the default model.
For the full breakdown of Macha's tiers, credits and app licenses, we wrote a separate explainer on Macha AI that goes through all four price lists.
The overall cost
Here is the AI line at three volumes. Both sides sit on top of the helpdesk seats you keep paying either way, so those cancel out and are excluded.
Both sides are modeled on helpdesk chat tickets, monthly billing, and no add-ons. Macha AI sits on its default model, at 3 credits per ticket-thread; My AskAI at $0.10 per ticket over the included allowance. Each side is placed on the cheapest plan that covers the volume.
Monthly tickets | My AskAI | Macha AI | Difference |
1,000 | $199 (Pro, 1,000 included) | $299 (Starter, 3,000 credits) | $100 |
3,000 | $599 (Scale, 2,000 included + 1,000 × $0.10) | $699 (Professional, 10,000 credits) | $100 |
5,000 | $799 (Scale, 2,000 included + 3,000 × $0.10) | $1,148 (Professional + 5,000-credit top-up) | $349 |
The gap widens as volume climbs, and a busy month widens it further. Our overage is $0.10 a ticket.
Macha's is a top-up block bought at up to $0.099 a credit, which on the default model is about $0.30 a ticket, or the agents stop. Switch Macha to its small model and the credit math improves a lot, at whatever that costs you in answer quality.
I have written before about why per-resolution pricing is a tax on your own success. A credit meter whose rate moves with your model choice is a milder version of the same problem: the model you put on each agent sets what you pay.
Conclusion - should I choose Macha AI or My AskAI?
TL;DR: My AskAI takes six of the eleven categories, Macha AI takes one, and four are tied. Macha AI's win is feature surface, ours cluster in reach, price predictability and security, and more than a third of the card is level.
Macha AI is a good pick if you want cross-tool write automation firing from inside a ticket, value free adherence scoring, and can live with a meter you have to watch. We are the one if you want a single agent that answers customers across Zendesk, Intercom, Freshdesk, Gorgias and HubSpot, on a number your finance team can forecast before the month starts.
The eleven categories, scored:
ㅤ | My AskAI | Macha AI | ㅤ |
Modes | 8/10 | 8/10 | Tie |
Ease of setup | 9/10 | 7/10 | My AskAI win |
Training/Integrations | 9/10 | 7/10 | My AskAI win |
Answer Quality | 8/10 | 7/10 | My AskAI win |
Improving | 9/10 | 9/10 | Tie |
Features | 8/10 | 9/10 | Macha AI win |
Price | 9/10 | 6/10 | My AskAI win |
Customization | 9/10 | 9/10 | Tie |
Lock-in | 9/10 | 6/10 | My AskAI win |
Other AI features | 8/10 | 8/10 | Tie |
Security | 9/10 | 6/10 | My AskAI win |
Macha AI's one win is feature surface, and it is a fair one. Sub-agents that delegate to each other, Studies for bulk analysis, File Tools, custom API tools and a REST API that costs nothing to call: a team with someone who enjoys assembling that will get more out of it than out of anything on our side of the table.
Scores on the doors: four of the eleven came out level, and that is the number to read first. Modes, improving, customization and the other-AI-features row all landed as ties, because on those the two products do the same job by a different route.
Our six wins come down to reach, predictability and what a security reviewer asks for. Zendesk, Intercom, Freshdesk, Gorgias and HubSpot against four, with customer-facing answers on every one.
Our flat per-ticket rate runs against a credit meter with four coexisting price lists, and our SOC 2 Type II against a certification still in progress.
Those rows decide a purchase. The five that are left, the four ties and the feature row, decide how you configure whichever one you buy.
Choose Macha AI if:
- You want a tool-surface architecture, with sub-agents that delegate to each other and a model chosen per agent
- You want adherence scoring and written coaching notes on every plan, including the entry one
- You need cross-tool write actions inside a ticket, like Stripe refunds, Shopify order edits or Confluence page updates
- You want unlimited team seats on every plan with no per-seat line item
Don't choose Macha AI if:
- You run Intercom, since no connector exists, or you need an AI agent that answers your customers inside HubSpot, where Macha's connector updates tickets without a public-reply tool
- You need a bill you can forecast from one number, with no plan, model and billing term to reconcile first
- You cannot accept your agents pausing mid-month when the credits run out
- Your security review requires SOC 2 today, or SAML sign-in, or more than two access roles
A third route exists if the Zendesk depth is what attracted you to Macha AI: our Zendesk app gives you a flat per-ticket rate on the same desk, and the agent moves with you if you ever change helpdesks.
If your real question is Macha AI against your helpdesk's own AI, our comparison of My AskAI and Zendesk AI covers that side of the decision. Our full Macha AI explainer goes deeper on Macha's pricing. We also compare My AskAI against eesel AI separately, since eesel turns up on most of the same shortlists as these two.
FAQs
Is Macha AI or My AskAI cheaper?
My AskAI is cheaper at 1,000, 3,000 and 5,000 tickets a month, and the difference grows with volume. Our rate is one number, while Macha's moves with the plan, the model and the billing term you pick.
ㅤ | My AskAI | Macha AI |
Pricing model | Flat rate per ticket against a monthly plan | Credits per ticket-thread, 1 to 3 by model |
Headline rate | ~$0.10 per chat ticket on Scale | ~$0.30 per ticket on Starter monthly, default model |
3,000 tickets a month | $599 (Scale) | $699 (Professional) |
What happens at the cap | Overage billed at $0.10 a ticket | Agents pause until credits reset, or you buy a top-up |
Free trial | 30 days, all features, unlimited tickets, no card | 500 credits worth $50, no time limit |
Both sit on top of the helpdesk seats you keep paying either way.
Which has the broadest helpdesk and knowledge coverage?
My AskAI on helpdesks, Macha AI on live knowledge. We answer customers inside Zendesk, Intercom, Freshdesk, Freshchat, Gorgias and HubSpot; Macha AI's four connectors reach Zendesk, Freshdesk, Gorgias and Front.
Helpdesk | My AskAI | Macha AI |
Zendesk | ✅ Answers customers | ✅ Answers customers, auto-wired |
Intercom | ✅ Answers customers | No connector documented |
Freshdesk and Freshchat | ✅ Answers customers | ✅ Freshdesk, manual webhook |
Gorgias | ✅ Answers customers | ✅ Answers customers, manual webhook |
HubSpot | ✅ Answers customers | Reads and updates tickets only |
Front | — | ✅ Answers customers, manual webhook |
On knowledge, Macha AI reads Google Docs, Sheets, Notion and Confluence live at query time, and its entry plan caps you at three sources.
Does Macha AI work with Intercom or HubSpot?
Intercom, no. Macha AI documents no Intercom connector anywhere across its connector, pricing, security, evaluation and data-source pages.
HubSpot, yes, with a limit. The HubSpot connector covers contacts, deals, tickets, notes and pipelines through Composio's one-click OAuth. It documents no customer-facing public-reply tool (each of Macha's four helpdesk connectors documents one).
So Macha AI can read, update and annotate your HubSpot tickets. It is not documented as answering your customer there.
What can each AI agent be trained on?
Both take a help center, a website, uploaded files and past tickets. Macha AI adds live reads of Google Docs, Sheets, Notion and Confluence at query time, and caps website crawls at 200 pages with a manual resync.
Uploaded files on Macha AI never refresh on their own; you delete and re-upload. My AskAI syncs connectors every 24 hours, lets you mark sources internal-only, and can auto-draft starter knowledge from your last 5,000 historic tickets if you have no help center yet.
How long does setup take, and do we need developers?
No developers on either, for a standard setup. My AskAI is sign up, connect knowledge, install the app from your helpdesk's marketplace. Most teams are running in internal-note mode inside 15 minutes, whether that is Zendesk, Intercom, Freshdesk, Gorgias or HubSpot.
Macha AI markets under 10 minutes, and that holds on Zendesk, the one connector it auto-wires. On Freshdesk, Gorgias and Front you configure the webhook yourself, which is helpdesk-admin work. Macha also sells a White-Glove Launch at $799 one-time for six guided sessions over four to six weeks.
Can Macha AI fully replace your helpdesk's native AI?
Yes, in the sense that both products are built to do the job your native AI does. The helpdesk itself stays where it is.
Macha AI is explicit that there is no Macha inbox, no Macha ticketing system and no Macha CRM, and My AskAI is an agent inside the desk you already run. You keep Zendesk or Gorgias or HubSpot, and you swap out which AI answers the tickets.
Can they handle multilingual support and agent translations?
Both handle multilingual conversations natively. My AskAI auto-detects the language per message across 95 languages and replies in the customer's language. Live Translation is available inside Intercom at $0.05 a ticket, so your agent can read and answer in their own language after a handover.
Macha AI marks "Fully multilingual" as included on all three plans, with a primary language setting and auto-translate on tickets. It sells agent-facing translation as a separately-licensed Zendesk app.
How do My AskAI and Macha AI compare on security and compliance?
My AskAI holds SOC 2 Type II today, with the report itself included on our Scale plan. Macha AI is in the process of obtaining that certification, documents an emailed one-time code as its only sign-in, and gives you two access roles.
ㅤ | My AskAI | Macha AI |
SOC 2 Type II | ✅ | In process, not held |
GDPR | ✅ | ✅ (data-subject exports in JSON or CSV) |
Encryption at rest | AES-256 | AES-256-GCM with field-level encryption |
Customer data used to train models | Never | Never |
Documented SAML or SSO sign-in | ✅ | Not documented (email one-time code) |
Access roles | Configurable team roles | 2 |
Macha AI's engineering detail is good, and its certification is still in progress. Read the SOC 2 Type II line on Macha's security page carefully, because it belongs to Composio, its OAuth sub-processor.
