My AskAI vs Duckie AI: Pricing & Features (2026)

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Jun 26, 2026 01:51 PM

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Mike Heap

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What AI can I use to reply to support tickets?

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TL;DR: Two different kinds of product. Duckie deploys a team of autonomous AI agents aimed at your most complex tickets, while My AskAI is one trained agent that lives inside five helpdesks (Zendesk, Intercom, Freshdesk, Gorgias, HubSpot).

You've got two quite different kinds of product here, even though both promise to take tickets off your team's plate.

Duckie is a Y Combinator company (Winter 2024 batch) that positions itself as "AI-run support operations." The pitch is that you deploy a team of autonomous AI agents to resolve your most complex tickets and automate internal support work. It started life as an internal on-call tool one of the founders built to deal with repetitive engineering questions, then grew into a product, so its DNA is technical, B2B SaaS support.

My AskAI is a single AI support agent that lives inside the helpdesk you already run. We integrate natively with five of them: Zendesk, Intercom, Freshdesk, Gorgias and HubSpot. You keep your helpdesk, your agents, your macros, your tags and your routing rules, and the AI works inside them at roughly $0.10 per ticket (we're not a helpdesk, and we're not trying to replace yours; we replace the native AI agent inside it).

G2: My AskAI scores 4.5/5 from 21 reviews on G2. "In just the last 6 months, their AI support agent handled 275,000 conversations, resolved 195,000, achieved an AI resolution rate of 70%, saved our team 49,000 hours." via a G2 reviewer (Support Delivery Lead).

How does an AI customer service agent work?

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TL;DR: Both read your knowledge and history and answer in natural language. Duckie self-assembles agents from your past tickets; My AskAI trains one agent and replies, or drafts, inside your existing helpdesk.

The mechanics are similar at a high level and differ in emphasis.

Duckie analyzes your past tickets to learn how your team resolves things, then "self-assembles" an agent from that history. It leans hard into resolving complex tickets that need investigation, the ones that go beyond easy FAQ deflection. On the technical side it can do things like help with scripting questions or summarize long, messy threads (that's straight from its Automox case study).

My AskAI trains one agent on your knowledge: help center, website, past tickets, and connected sources like Google Drive, Notion and Confluence. It then either replies to customers directly or drafts replies for your agents, all inside your helpdesk. When it can't answer, senses that a customer is frustrated, or hits a topic you've told it to escalate, it hands the conversation to a human with a summary and stops replying until it's handed back.

The real point of difference isn't how it works so much as where it lives: ours runs inside the helpdesk you already have.

What are the different ways I can use an AI agent?

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TL;DR: Both reply to customers directly. Only My AskAI adds a true Internal Notes mode, so you can run it silently next to your current setup before any customer sees it.

Both tools can reply to customers directly. Where we differ is in the safer, behind-the-scenes modes, and this matters more than it sounds.

Direct replies

This is the headline mode for both products: the AI answers the customer in chat, conversation or ticket. Duckie is built around autonomous resolution here, and so are we when you're ready to switch it on.

Copilot replies

Both of us can sit behind a human agent and draft suggested replies. With My AskAI, the AI Copilot Chrome extension is included free with no per-seat charge and works inside any of our integrated helpdesks (so your whole team can use it without you counting seats).

Internal note replies

This is the one I'd point a nervous team at first. My AskAI can run in Internal Notes mode, where it drafts every reply as an internal note that no customer ever sees. You can run it silently next to whatever you have today, including next to Duckie, and watch how it would have answered before a single customer is exposed to it.

Video preview — AI Reply Drafts Inside Your Helpdesk

Live simulation

Duckie's live simulation is basically a test mode: you run the agent against past scenarios before it goes live, which is genuinely useful for building confidence. It isn't quite the same as running the new agent in production next to your real setup and comparing answers on live tickets the way My AskAI's internal notes let you (that live side-by-side is the thing that settles most nervous teams), but as a pre-launch check it does the job.

Which is easier to setup, Duckie or My AskAI?

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TL;DR: Both are no-code. My AskAI is self-serve and live in about ten minutes on a 30-day no-card trial; Duckie is sales-led, with a three-to-seven-day demo-first rollout.

Both are no-code to stand up. The difference is really how you get started (and how soon you can just try it yourself).

Duckie advertises a three-to-seven-day deployment: on day one it analyzes your tickets and mines your docs to build the agent, around day three you test and tune it in plain English, and it goes live by about day seven. None of that needs engineers, and Duckie's docs describe a self-serve Quickstart that gets a first agent running in about ten minutes. The marketing site still leans sales-led, though (the main buttons are "View demo" and "Book a call"), and trial terms aren't published.

My AskAI is self-serve. You can sign up, connect your knowledge and install the helpdesk app yourself, usually inside about ten minutes, on a 30-day free trial with no card required. Most teams are live and replying to customers within a month; the bulk of the effort is in the first few weeks, and ongoing it's roughly half an hour a week.

And if you don't have a help center or written docs yet, you're not stuck: our historic-ticket training can generate starter knowledge from your past resolved tickets (5,000 by default, more on request) so the AI has something to learn from on day one.

How do My AskAI and Duckie differ in what they can be trained on?

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TL;DR: My AskAI ingests a broader set of business sources (Drive, Notion, Confluence, Shopify and more) and can mark them internal-only; Duckie leans on past tickets plus developer tools like Sentry, GitHub and Jira.

Both learn from your past tickets and your documentation. The spread of sources is where they part ways.

'Static' content

We ingest a wide set of static sources: Google Drive, Notion, OneDrive, Dropbox, SharePoint, Confluence, Salesforce and Shopify, plus your helpdesk help center, your website, and direct PDF or DOCX uploads. You can also mark any source internal-only so it's used for behind-the-scenes answers but never shown to customers.

A screenshot of the knowledge page in the My AskAI dashboard

Duckie connects to a similar set on paper, Confluence, Notion, Google Drive, Guru and Fireflies among them. But its center of gravity is developer context: it pulls from Sentry, GitHub, Linear and Jira, which is exactly what you'd expect from a tool born in engineering support. If your knowledge lives in those systems, that's a real strength (and a fair reason to lean its way).

Here's how the two sets of training sources line up:

Training source	My AskAI	Duckie
Help centre, docs, past tickets	✅	✅
Notion, Confluence, Google Drive	✅	✅
OneDrive, Dropbox, SharePoint	✅	—
Salesforce	✅	—
Shopify (orders, products)	✅	—
Developer tools (Sentry, GitHub, Linear, Jira)	—	✅
Guru, Fireflies	—	✅
Mark a source internal-only	✅	—

'Dynamic' content

This is the live-data side: looking up an order, a plan, an account. We do it through a User Data API, Tools and Tasks, with a pre-built Shopify connector for order and product lookups.

Tasks handle multi-step actions like refunds and cancellations, and you decide how much autonomy to give them: the AI can complete the action itself, or draft it and hand it to an agent to approve.

Duckie does its own real-time actions too, refunds, password resets, subscription changes and fraud checks, which is genuinely capable, particularly for technical workflows.

Which has better answer quality, Duckie or My AskAI?

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TL;DR: Close on everyday tickets. Duckie markets higher headline numbers (vendor-defined and unaudited); My AskAI's edge is that you can ask Echo why any answer was given and which source it used.

Both resolve everyday tier-1 questions well when the underlying knowledge is clean. Quality is close on the everyday stuff (I'd call that a wash), though on genuinely complex, technical tickets Duckie's purpose-built focus gives it the edge. The other differences are in the numbers each side publishes and in what you can see afterwards.

Duckie markets strong figures: 87% ticket resolution without a human, a 76% reduction in manual work, 3.2x faster responses, and customer results like Automox at 92% deflection and Vanquish Trader at 95%. Worth reading carefully, though: some of those are "resolution" and some are "deflection", which Duckie defines as a ticket not needing a human.

They're vendor-and-customer-reported numbers, and Duckie has no G2 or Capterra presence to cross-check them against, so treat them as directional, since nothing here is independently audited. For context, the field median AI resolution rate across the support tools we track is around 70%, though every vendor measures it differently, so it's rough context at best, well short of a head-to-head score.

Where we'd point you is auditability. My AskAI counts a conversation as resolved when the AI handled it without escalating to a human, and we keep escalation deliberately easy (the customer can ask for a person, and the AI hands off when it's unsure or senses frustration). We don't claim to know an issue was truly solved unless the customer tells us, and we'd rather name that ceiling than inflate the number.

More usefully, you can open any conversation and ask Echo why the agent gave a particular answer and which knowledge source it used. Duckie's own docs now advertise full transparency into how each conversation was handled too, so both sides give you a way in. Worth knowing, though: a team that had run an earlier version of Duckie for months told me their biggest frustration back then was checking whether an answer was actually accurate, which is exactly the job Echo is built for.

Which AI agent is easier to improve over time: Duckie or My AskAI?

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TL;DR: Both learn over time. My AskAI's Self-Learning drafts new knowledge automatically from your agents' edits; Duckie improves through plain-English tuning you mostly own yourself.

Both improve continuously; the question is who does the work.

Duckie improves through plain-English tuning, a live simulation step, quality scoring and ongoing learning from interactions. It's a capable loop. The catch is that the upkeep can land on you: one team described not wanting to "become a Duckie expert" and feeling like ownership of the tuning had been handed to them.

My AskAI's Self-Learning does a chunk of that work automatically. Every time a conversation is handed to a human, it compares the AI's draft to what the agent actually sent and drafts a new knowledge article from the difference, ready for you to review. The knowledge base ends up maintaining itself, which is the opposite of feeling like you've taken on a second job.

Which has more features, Duckie or My AskAI?

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TL;DR: Duckie goes deep on autonomous complex-ticket resolution and internal-support automation; My AskAI is broader, with Tasks, Tagging, Insights, 95 languages and Multibrand.

This is where the gap between the two products shows up clearly.

Duckie concentrates its surface area on autonomous resolution of complex tickets, internal-support automation for teams like sales, CSM and engineering, and real-time actions. It's deep in a focused area rather than broad, and on that technical-resolution turf it's genuinely the one to beat.

We're broader across the support toolkit. Alongside the agent you get Tasks and Tools for agentic workflows, Insights that scores 100% of your conversations for AI CSAT (not the usual 2-10% sample) and groups them into topics, and multilingual support across 95 languages auto-detected per message. On top of that there's Multibrand for separate agents per brand or region, Spam Filters to stop the AI wasting credits on junk, and AI Tagging that automatically classifies incoming tickets in Zendesk, Intercom, Freshdesk and Freshchat.

A screenshot of My AskAI's "Task & Tools" feature enabling complex, multi-step actions like updating addresses, or refunding an order.

Feature by feature, here's where each one lands:

Feature	My AskAI	Duckie
Autonomous resolution	✅	✅
Copilot / draft-reply mode	✅	—
Real-time actions (refunds, cancellations)	✅	✅
Developer-tool actions (Jira tickets, Zendesk fields)	Via Tools	✅
AI Tagging	✅	—
Conversation analytics / CSAT scoring	✅ (100% of conversations)	✅
Multilingual (95 languages)	✅	Not documented
Multibrand	✅	—
Test mode before launch	Internal Notes	Live simulation

Is it easy to customize My AskAI and Duckie?

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TL;DR: Both tune without code. My AskAI uses Guidance rules for tone, clarification and handover; Duckie uses natural-language tuning plus a live simulation step.

Both let you control how the AI behaves without writing code.

We use Guidance: natural-language rules split into communication and style, context and clarification, and handover and escalation. So you can tell the AI how to sound, when to ask a follow-up question, and exactly when to pull in a human, with persona controls on top.

A screenshot of My AskAI's Guidance feature.

Duckie customizes through natural-language tuning and its live simulation, so you describe how you want it to behave and test the change before it ships. Both approaches are within reach of a support lead, and Duckie's live simulation (testing a change against past scenarios before it goes live) is a genuinely useful touch that earns it the edge here.

What about vendor lock-in?

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TL;DR: My AskAI is portable across the five helpdesks it supports (Zendesk, Intercom, Freshdesk, Gorgias, HubSpot), so switching helpdesk doesn't mean redoing your AI. Duckie is a separate standalone vendor you add to your stack.

This is a quiet one, but it cuts in our favor.

Because My AskAI runs inside whichever helpdesk you already use, the trained agent is portable. If you switch helpdesks down the line, say from Zendesk to Intercom, the agent comes across with you: you don't lose the custom answers, the guidance or the tasks you've built. You keep your existing stack today and you keep your options open tomorrow.

Duckie is a standalone platform that connects into Zendesk, Intercom, Slack and a set of developer tools. That's flexible in its own way, but you're adopting another separate vendor in your stack rather than adding AI inside the tools you already run, so if you later switch helpdesks the trained agent and its setup are a separate thing to carry across (or unpick).

Does Duckie or My AskAI have any other AI features?

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TL;DR: My AskAI adds AI Tagging (in Zendesk, Intercom, Freshdesk and Freshchat) and Live Translation across 95 languages; Duckie's extras center on internal-support automation.

A couple of extras are worth calling out on our side.

Tagging

Our AI Tagging automatically classifies every incoming ticket against your existing tags in Zendesk, Intercom, Freshdesk and Freshchat, at $0.05 per attribute per ticket. It reads the message and routes accordingly, so a frustrated or canceling message can be tagged and sent straight to a human. It also doubles as a cost control: you can set a tag so the AI doesn't reply to a class of tickets at all, and pay only the tagging cost instead of a full conversation.

Agent translation

For teams handling other languages, our Live Translation translates a conversation into your agent's language as an internal note and translates their reply back out when they send it, on top of the 95-language support the agent already has. Duckie's extras sit more around its internal-support automation and action execution than around tagging or translation.

What about security, is Duckie more secure than My AskAI?

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TL;DR: Both are SOC 2 Type II. My AskAI adds GDPR, AES-256 encryption and a public trust portal; neither product is HIPAA-certified.

Good news for the security reviewer: both clear the main bar. Duckie and My AskAI are both SOC 2 Type II.

My AskAI adds GDPR compliance, AES-256 encryption at rest and TLS in transit, isolated containers per customer, and a commitment that your data is never used to train models or for anything beyond serving your tickets (you can see the live detail at our trust portal). On the rest of the grid, we're SOC 2 Type II and GDPR; we're not HIPAA, ISO 27001 or PCI-DSS certified, so if you have a hard requirement for one of those, that's a real constraint to weigh.

Duckie publishes its SOC 2 Type II but doesn't say publicly where it lands on GDPR, HIPAA or data residency, so if any of those are dealbreakers for you, get them in writing before you sign.

Which costs more, Duckie or My AskAI?

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TL;DR: My AskAI publishes flat per-ticket pricing, about $0.10 a ticket, roughly $1,299/mo at 10,000 tickets and 75% resolution. Duckie's pricing is sales-gated, so you can't model it without a call.

This is the cleanest difference in the whole comparison, and it comes down to whether you can even see the price.

The pricing model

My AskAI's pricing is public and flat. We charge per ticket rather than per resolution: $199/mo on Pro and $499/mo on Scale, with all-in usage at roughly $0.10 per ticket. Per-ticket pricing works in your favor as you improve: most of what pushes a resolution rate up is work you do, better knowledge, more tools, tighter guidance, and a per-resolution model charges you more as your own effort pays off.

Ours stays flat, so the cost per resolved ticket actually falls as the AI gets better, and you capture that upside instead of the vendor. And because the natural question at any price line is "can I test it first?", you can: the 30-day free trial unlocks every feature, with unlimited tickets and no card.

Duckie's pricing is not public. There's no pricing page on its site (the URL returns a not-found), and cost conversations go through "Book a call." Word-on-the-street (well, a third-party comparison) reads its model as outcomes-plus-seats with a higher contract value and demo-led rollout, but Duckie doesn't confirm that, so the plain summary is that you can't know what Duckie costs without a sales call (for some buyers that's fine; for many others, the inability to self-qualify on price is friction in itself).

The overall cost

Here's the worked example we use for My AskAI. At 10,000 tickets a month and a 75% resolution rate, you're looking at about $1,299/mo on the Scale plan, and per-resolution competitors at the same volume tend to land several times higher.

Three pricing stats for My AskAI: 10 cents per ticket, about 1,299 dollars a month at 10,000 tickets, and a 30-day free trial.

I can't put Duckie's number next to that one, because Duckie doesn't publish a number. With us you can model your bill from the pricing page before you ever talk to sales.

Conclusion - should I choose Duckie or My AskAI?

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TL;DR: My AskAI wins on price, predictability, helpdesk reach and lock-in; Duckie earns the nod for sales-led, autonomous resolution of genuinely complex, technical tickets.

Right, let's tally it up. Here's the qualitative view first, then the scored card.

At-a-glance table comparing My AskAI and Duckie on integration, mode, pricing and setup.

	My AskAI	Duckie
Modes	9/10	7/10	My AskAI win
Ease of setup	9/10	7/10	My AskAI win
Training/Integrations	8/10	9/10	Duckie win
Answer Quality	8/10	9/10	Duckie win
Improving	9/10	7/10	My AskAI win
Features	9/10	8/10	My AskAI win
Price	9/10	5/10	My AskAI win
Customization	8/10	9/10	Duckie win
Lock-in	9/10	6/10	My AskAI win
Other AI features	8/10	7/10	My AskAI win
Security	8/10	7/10	My AskAI win

The scorecard leans our way, but Duckie earns genuine credit where it's strong: autonomous resolution of genuinely complex, technical tickets, deep integration with engineering tools like Sentry, GitHub, Linear and Jira, white-glove onboarding, and internal-support automation for teams beyond the front line.

So let me make it simple.

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Choose Duckie if…

Your support is technical, B2B SaaS, and the hard tickets need investigation against logs, code and engineering systems

You want those developer-tool integrations (Sentry, GitHub, Linear, Jira) at the heart of your support rather than the edge

You'd rather have a sales-led, white-glove setup than self-serve, and you're comfortable that pricing comes via a call

You want a single tool that doubles as an internal AI assistant for sales, CSM and engineering

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Choose My AskAI if…

You want predictable, published per-ticket pricing you can model before you talk to anyone

You want to keep the helpdesk you already run (Zendesk, Intercom, Freshdesk, Gorgias or HubSpot)

You want to trial it yourself with no card and run it as silent internal notes before going live

You want to open any answer and ask Echo why it was given

And if you're weighing this up against the native AI in your helpdesk too, it's worth seeing how we stack up there: here's My AskAI vs Intercom Fin and My AskAI vs Zendesk AI. Good luck with the decision.

FAQs

Can Duckie fully replace a human support team inside Zendesk or Intercom?

No, and neither can we, nor should either of us. Duckie autonomously resolves a large share of tickets (especially complex technical ones) and hands the rest to humans, and we work the same way: My AskAI handles the repetitive 60-80% and escalates the complex, emotional or high-stakes tickets to your team with a summary. The aim is to take the repetitive load off your agents so they can spend their time on the hard stuff.

Does Duckie integrate with Zendesk and HubSpot natively?

Yes to both. Duckie lists native integrations with Zendesk, Intercom, HubSpot and Freshdesk, plus Slack, Discord, a website widget and developer tools, though notably not Gorgias. My AskAI integrates natively with five helpdesks, Zendesk, Intercom, Freshdesk, Gorgias and HubSpot, so if you're on Gorgias, that's a difference worth noting.

What can My AskAI and Duckie each be trained on?

My AskAI trains on your help center, website, past tickets and a broad set of connectors (Google Drive, Notion, Confluence, SharePoint, OneDrive, Dropbox, Salesforce, Shopify), and you can mark any source internal-only. Duckie trains on your historical tickets and docs, with a developer-leaning set of sources (Confluence, Notion, Sentry, GitHub, Linear, Jira). If your knowledge lives in engineering tools, Duckie's coverage there is strong; if it's spread across general business apps, ours is broader.

How long does setup take and do we need developers?

Neither needs developers for a standard setup. My AskAI is self-serve and usually live in about ten minutes, fully running within a month. Duckie quotes a three-to-seven-day deployment, but it's sales-led, so you start with a demo instead of a signup.

How do My AskAI and Duckie pricing models differ, and what might we actually pay?

My AskAI is per-ticket and public; Duckie's is quote-only. At 10,000 tickets a month and 75% resolution you'd pay about $1,299/mo on My AskAI's Scale plan, which you can work out yourself from the pricing page. Here's the side by side:

	My AskAI	Duckie
Pricing model	Per ticket, flat	Quote-only (not public)
Headline rate	~$0.10 per ticket	Not published
10k tickets/mo at 75%	~$1,299/mo (Scale)	Requires a sales call
Free trial	30 days, no card	Not published

Can they handle multilingual support and agent translation?

My AskAI supports 95 languages auto-detected per message, plus Live Translation that lets an agent read and reply across languages. Duckie doesn't publish a language count or multilingual claim on its site, so if you support customers in several languages, that's worth confirming with them directly before you commit.

How do My AskAI and Duckie compare on security and compliance?

Both are SOC 2 Type II. My AskAI adds GDPR, AES-256 encryption and a public trust portal, and doesn't use your data to train models. Neither product is HIPAA-certified, and Duckie doesn't publish where it stands on GDPR or data residency, so if you have specific compliance requirements, get them confirmed in writing.

Is this Duckie the same as DuckDuckGo's AI chat?

No. The Duckie in this comparison is an AI customer-support platform for B2B SaaS teams, the same one we link to throughout this post. DuckDuckGo's private AI chat is a completely separate consumer product that happens to share a similar name. They're close enough to confuse a search, but they do entirely different things.

My AskAI vs Duckie AI agent: Features, Pricing, and Results (2026)

What AI can I use to reply to support tickets?

How does an AI customer service agent work?