5 Best Freddy AI Alternatives for 2026 (Cheaper & Better)

Created time

Feb 24, 2026 06:11 PM

Title length (<60)

Author

Mike Heap

Ecomm?

Are there alternatives to Freddy AI if I want to use AI in Freshdesk and Freshchat?

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TL;DR: Yes—Freddy is native, but third-party AI agents can also integrate into Freshdesk and/or Freshchat and handle direct replies, handover, knowledge-based answering, and workflows depending on the vendor.

Yes. You can use AI in Freshdesk and Freshchat without using Freddy.

Freddy is the “default” option—Freshworks shipped Freddy AI Copilot first, and later the more autonomous Freddy AI Agent—but it’s not the only option that can operate in (or alongside) your Freshworks stack.

A screenshot from the Freshworks marketplace showing various 3rd party AI agent options.

For example, you can install third-party apps like the My AskAI Freshdesk integration via the Freshworks Marketplace listing for My AskAI. Other vendors support Freshdesk/Freshchat via API keys, webhooks, widgets, browser extensions, or a mix.

The main thing to get clear upfront is what you mean by “use AI in Freshdesk/Freshchat,” because vendors use that phrase very loosely:

Some products will genuinely reply inside Freshdesk (public replies, internal notes, drafts).

Others are primarily website chat widgets that escalate to Freshdesk by creating tickets.

Some focus on human-in-the-loop approvals; others go full autopilot.

If you know which of those you want, your shortlist gets way smaller (in a good way).

What’s the overall comparison of the top Freddy AI alternatives for Freshdesk and Freshchat?

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TL;DR: My AskAI is the most “Freshworks-friendly + predictable pricing” option; Alhena and eesel skew toward deeper technical control; CoSupportAI has flexible pricing models (including resolution-based); Wonderchat is strongest if your main goal is “website bot that escalates into Freshdesk tickets.”

Below is a scorecard across the criteria that usually matter in real rollouts: integration depth, setup friction, training sources, features, answer-quality evidence, iteration tooling, security posture, maturity signals, and cost transparency.

Scores are out of 10 for each category, with an overall score out of 90.

(scores out of 10)	My AskAI	eesel	CoSupportAI	Alhena	Wonderchat
Freshdesk & Freshchat integration	9	7	8	8	4
Ease of setup	8	7	7	6	8
Training sources	9	8	7	9	7
Features	8	9	8	8	7
Answer quality (public evidence)	8	7	7	6	6
Improving & debugging	9	8	7	7	7
Security & compliance	7	6	7	8	7
Maturity signals	6	7	6	7	8
Cost (transparency + predictability)	9	6	8	5	8
Overall (out of 90)	73 (81%)	65 (72%)	65 (72%)	64 (71%)	62 (69%)

A quick note on interpretation: a “lower” score doesn’t mean “bad product.” It usually means one of two things: (1) less is publicly documented, or (2) the product is optimized for a different integration style (e.g., web widget + ticket escalation rather than living inside Freshdesk).

How did I select these Freddy AI alternatives for Freshdesk and Freshchat?

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TL;DR: I selected tools that can plausibly replace or reduce Freddy usage for Freshdesk/Freshchat teams, with publicly verifiable Freshdesk/Freshchat integration docs and enough product detail to evaluate without a sales call.

The goal wasn’t to list every chatbot on the internet. It was to find tools that a Freshdesk/Freshchat team can actually run in production.

Selection filters:

First, the tool needed a real Freshdesk and/or Freshchat story: either an app listing, documented integration steps, or clear platform behavior (not just “we integrate with everything” vibes). That’s why vendors with concrete Freshdesk/Freshchat integration docs like Alhena’s Freshdesk integration guide and eesel’s Freshdesk integration docs made the cut.

Second, I prioritized tools that can do tier-1 work (autonomously answering and handing off) or materially change support operations (triage, tagging, workflows, internal note drafts, or human-in-the-loop approvals).

Finally: I included My AskAI (full disclosure: I’m obviously biased as the founder). The way I compensate is by anchoring claims in product docs, published pricing, and externally checkable references whenever possible.

How should I compare AI agents for Freshdesk and Freshchat?

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TL;DR: Compare tools by where they operate (Freshdesk vs widget vs escalation), how they’re trained, how safely you can roll out, how you debug failures, and how pricing behaves when volume increases.

Most “AI agent” comparisons are secretly comparing demos, not deployments.

In a real Freshdesk/Freshchat environment, the pain usually shows up in boring places: permissions, handover logic, what counts as a billable “session,” how you fix knowledge gaps, and whether you can safely test before letting the bot talk to customers.

Here’s the framework that actually holds up once you’re past the honeymoon phase:

Freshdesk and Freshchat integration

If you remember one thing: “integrates with Freshdesk” can mean anything from “creates tickets on escalation” to “fully responds inside Freshdesk with drafts/notes/field updates.”

For example, Wonderchat’s documented Freshdesk integration is about enabling automatic ticket creation on escalation, which is very different from eesel’s Freshdesk actions like leaving internal notes, tagging, assigning, and updating tickets.

A screenshot of the My AskAI agent within Freshdesk replying in notes mode to a user question.

Also watch for Freshchat specifics. Some vendors support it via explicit webhook setups (Alhena’s Freshchat integration); others don’t clearly document Freshchat at all.

Ease of setup

“Easy setup” is usually true—until you want anything beyond FAQ deflection.

The real setup cost comes from:

wiring up triggers (when the AI should respond),

handover rules (when it must not),

and operational safety (drafts/notes first, approvals, limited queues).

If a vendor requires webhooks, API keys, and routing rules (like Alhena’s Freshdesk + Freshchat setup via API keys and Freshchat webhooks), that’s fine—but it’s not “5 minutes.”

Training sources

Answer quality is downstream from training data quality.

You want direct integrations wherever possible (help center APIs, macros, synced docs) because plain web crawling can miss pages or ingest junk.

As an example, My AskAI supports training beyond help centers—like Google Drive, Notion, Confluence, OneDrive, Dropbox, SharePoint, and Salesforce, training on historic tickets —and also supports Custom Answers for “just add the snippet, don’t publish a new article.”

Features

Features only matter if they reduce real support load.

The ones that tend to matter most in Freshdesk/Freshchat deployments:

human handover/escalation

multilingual support

APIs/actions/tools (read/write data)

multi-step workflows (tasks)

and safe rollout modes (drafts/internal notes/HITL)

Freshworks itself leans into workflowing via “skills” in Freddy (e.g., skills builder). Some third-party tools do this with their own action systems.

Answer quality

This is the hardest thing to compare “on paper,” because everyone can cherry-pick a demo transcript.

The best you can do without your own testing is look for hard, published signals:

published resolution rates,

real customer case studies with measurable outcomes,

and evidence the vendor supports grounding/inspection (sources, logs, citations).

A screenshot from My AskAI’s website showing their total customer support tickets resolve by AI agents (1,170,303), along with their AI resolution rate for the last 30 days of 74.9%

For example, Freddy case studies cite resolution rates between 23% and 30%. My AskAI publicly reports having resolved 1,170,303 conversations and a last-30-day resolution rate of 74.9% on its homepage.

Still: the only fair test is your own tickets, your own categories, your own edge cases.

Improving over time

The best AI agent on day 1 is rarely the best agent on day 30—because the real win comes from iteration.

Look for:

knowledge gap detection

automated self-improvement

per-conversation inspection

QA testing/simulation tooling

and some way to correct wrong answers quickly without rebuilding your whole setup

A screenshot of the My AskAI Dashboard showing the self-learning feature.

My AskAI, for example, focuses heavily on iteration via automated self-learning, inspect-and-logs, and a QA test feature for checking changes before going live.

Security

Security isn’t just certifications; it’s whether the vendor matches your requirements.

Freshworks publishes a broad set of certifications on its trust portal.

Some alternatives have SOC 2 Type II (Alhena published a SOC 2 Type II compliance announcement; Wonderchat states SOC 2 Type II in its security materials).

Also pay attention to what’s stated about PII handling and data usage:

Alhena states it scrubs PII before processing Freshdesk ticket messages for training in its Freshdesk tickets training source doc.

CoSupportAI’s terms explicitly describe how it may use anonymized service data to improve services in its terms of services.

Maturity

In 2026, “maturity” is mostly: operational proof + ongoing maintenance + documented behavior.

Good maturity signals include:

dated security milestones (e.g., Alhena’s SOC 2 Type II attestation announcement),

ongoing doc updates (Alhena’s Freshdesk/Freshchat docs are actively maintained in their docs UI),

a public changelog (Wonderchat has a dated changelog),

and credible customer stories.

Cost

Pricing models vary wildly, and “cheap” can get expensive fast if the unit doesn’t match your workload.

Freshworks Freddy AI Agent pricing is session-based—first 500 sessions included, then $99 per 800 sessions—and Freddy Copilot is $35/agent/month.

At My AskAI we charge per ticket at $0.10/ticket (pricing page), which tends to be easier to forecast because you already know your ticket volume.

Other vendors price per conversation/credits (Alhena), per interaction/response (eesel), per message credits (Wonderchat), or offer multiple models including resolution-based pricing (CoSupportAI).

As this is such a critical consideration for most companies, I have put together these tables below so you can see what your monthly cost would be if you had 1,000, 10,000 and 50,000 tickets per month at both 50% and 75% resolution respectively (unfortunately a number of vendors don’t share pricing publicly so very difficult to get a true comparison):

50% resolution	My AskAI	eesel	CoSupport AI	Alhena	Wonderchat
1,000 tickets/mo	$149	$639	$95	$1,090	$45
10,000 tickets/mo	$1,049	$3,189	$950	$5,760	$379
50,000 tickets/mo	$5,049	$15,189	$4,750	$59,760	$1,659

75% resolution	My AskAI	eesel	CoSupport AI	Alhena	Wonderchat
1,000 tickets/mo	$149	$639	$143	$1,090	$45
10,000 tickets/mo	$1,049	$3,189	$1,425	$5,760	$379
50,000 tickets/mo	$5,049	$15,189	$7,125	$59,760	$1,659

Should I use My AskAI as a Freddy AI alternative in Freshdesk and Freshchat?

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TL;DR: My AskAI is a strong Freddy alternative if you want direct automation plus a safe internal-notes rollout mode, broad knowledge integrations, and predictable per-ticket pricing.

My AskAI is built for AI customer support automation, and it can run inside Freshdesk and Freshchat via its Freshdesk integration (distributed via the Freshworks Marketplace My AskAI app listing).

How does My AskAI integrate into Freshdesk and Freshchat?

My AskAI supports AI replies in Freshdesk and Freshchat across common channels (email + live chat) and supports multiple usage modes, including direct replies to customers and a safety-first mode using internal note replies in Freshdesk.

It also offers a copilot experience via the My AskAI AI customer support copilot Chrome extension, which is useful when you want “AI assist” on-demand, not full automation.

How easy is it to set up My AskAI in Freshdesk and Freshchat?

Setup is intentionally no-code for the “baseline” deployment: you sign up on My AskAI, connect your knowledge sources, and install the app.

If you want to go beyond static knowledge (e.g., pulling live order data, initiating actions), you’ll likely spend more time—because that’s where every vendor’s “simple setup” turns into “support ops + some technical work.”

What knowledge sources can I train My AskAI on?

My AskAI supports training on a wide set of sources, including internal sources that Freddy doesn’t natively connect to, like Google Drive, Notion, Confluence, OneDrive, Dropbox, SharePoint, and Salesforce (plus help centers and websites).

You can also train your AI agent on your historic support tickets, if you don’t already have a help center setup or if it is out-of-date.

It also supports Custom Answers, which is basically “add a knowledge snippet directly” without publishing a full help center article.

A practical rollout trick is that internal sources can be used for internal/copilot usage so you don’t accidentally expose internal-only knowledge to customers.

What features does My AskAI have?

Feature-wise, My AskAI covers the core “agent” features (direct replies, copilot, handover, multilingual support, actions/tools, guidance), but three areas stand out for Freshdesk teams:

First, the internal note reply mode—again, internal note replies in Freshdesk—is a very low-drama way to test in real tickets without letting the AI speak publicly yet.

Second, it supports Tasks, which are multi-step processes where you chain logic and multiple tool calls. The obvious use case is something like refunds: collect info → check policy → perform action but we have a list of examples by industry too if you want more ideas.

Finally, it also has an automated AI tagging feature, enabling you to automatically tag and categorize your tickets for improved reporting or triage.

How do I improve my My AskAI responses?

My AskAI is strong on iteration tooling:

automated self-improvement via self-learning from human agents

the ability to draft fixes from historical context in those gaps

deep debugging via inspect-and-logs

and regression testing using the QA testing feature.

This matters because most “bad AI” is really “missing/contradictory knowledge + no feedback loop.”

How secure is My AskAI?

My AskAI documents its security practices in its security and privacy documentation. It’s positioned as compliant with GDPR/CCPA and SOC 2 Type II.

Who is using My AskAI?

My AskAI publishes customer reviews and case studies on its reviews and case studies page.

How much does My AskAI cost?

My AskAI pricing is published at My AskAI pricing, and it’s ticket-based ($0.10 per ticket). That usually makes cost forecasting straightforward because support leaders already track ticket volume.

There’s also a Freshdesk savings calculator to model it.

✅

Choose My AskAI if…

You want predictable usage pricing (per ticket) and don’t want session-block weirdness.

You want a safe rollout path using internal note replies before going fully live.

You have knowledge living in internal sources (Drive/Notion/Confluence/SharePoint/etc.) and want the AI to use it.

❌

Don’t choose My AskAI if…

You want a heavily flow-builder-driven experience inside the helpdesk (My AskAI is designed to reason and answer rather than make you maintain decision trees).

Should I use Alhena as a Freddy AI alternative for Freshdesk and Freshchat?

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TL;DR: Alhena is a strong option if you want an “agentic” architecture with broad data sources and Freshdesk/Freshchat integrations via API keys and webhooks, and you value SOC 2 Type II compliance.

Alhena rebranded in Feb 2025 (Gleen AI is now Alhena AI) and is operated by Helix3 Labs.

How does Alhena integrate into Freshdesk and Freshchat?

For Freshdesk ticketing, Alhena’s documented setup uses a Freshdesk domain and API key via the Freshdesk integration guide.

In practice, Alhena responds to tickets assigned to an “Alhena Bot” agent, and then closes the ticket after answering (behavior described in their Freshdesk integration docs).

For Freshchat, Alhena’s setup is webhook-based (plus API credentials), with region-specific webhook endpoints documented in the Freshchat integration guide.

It also documents bi-directional message sync after escalation and optional “Agent Translation.”

Alhena also documents a routing model when both Freshdesk and Freshchat are configured: business hours → Freshchat, outside business hours → Freshdesk (described in the Freshchat integration documentation).

How easy is it to set up Alhena in Freshdesk and Freshchat?

It’s not “marketplace click-to-connect simple,” but it’s also not “build a middleware platform.”

You’ll need:

admin access,

API keys,

Freshchat webhook configuration if using Freshchat,

and Freshdesk automation rules to assign tickets to the bot user per the Freshdesk integration guide.

Alhena also has a website widget install that involves adding a JavaScript snippet, covered in its widget installation doc.

What knowledge sources can I train Alhena on?

Alhena’s data source coverage is broad.

It documents sources including websites, YouTube, Google Drive, Notion, Confluence, GitHub, uploaded documents, CSV/Excel/Sheets, Zendesk/Freshdesk tickets, Freshdesk knowledge base articles, Freshchat tickets, Shopify API, WooCommerce API, Slack messages, Discord messages, and more in its Freshdesk knowledge base articles data source doc.

Two caveats are explicitly documented:

Training on helpdesk tickets isn’t fully self-serve; Alhena states ticket training must be enabled by contacting them.

Some multi-bot routing setups (like routing based on support email) require Alhena team involvement, described in their Freshdesk integration guide.

What features does Alhena have?

Alhena describes an “agentic” architecture with Agentic RAG, multi-agent orchestration, and tool/workflow execution in its docs homepage.

In Freshchat specifically, optional translation is documented.

For Freshdesk, the platform behavior includes assignment gating and closing tickets after answering

How do I improve my Alhena responses?

Alhena supports tuning through guidelines and human feedback, described in its post-training tuning FAQ (tuning responses).

For analytics, it documents areas like Agent Performance and CSAT collection (for example, Agent Performance analytics and CSAT collection configuration).

It also notes you can check answer sources from the conversations screen for troubleshooting in its common questions doc.

How secure is Alhena?

Alhena publicly states it is SOC 2 Type II compliant (see the SOC 2 Type II announcement).

It also publishes a Data Privacy Framework page and states encryption at rest and in transit in its brand protection/security write-ups (see how Alhena protects your brand).

It also documents role-based access with Admin vs Member roles in team management.

Who is using Alhena?

Alhena publishes customer success stories (including brands like Tatcha, Puffy, LeanData and others) on its customer success stories page.

It also has third-party reviews on its G2 reviews page.

How much does Alhena cost?

Alhena’s pricing is described as conversation/credit-based on its pricing page.

Their “Pro” plan starts at $199/mo (billed annually) for 200 “conversations”, with a $1.2 per conversation overage fee if you go over your limit.

That works out at around $1 per conversation, not cheap!

Especially since a “conversation” counts as:

“a meaningful back-and-forth between a user and the AI. Including:

A user replies to an AI nudge and engages further

Instagram DMs or WhatsApp chats (1 full credit per conversation)”

✅

Choose Alhena if…

You want Freshdesk + Freshchat coverage with explicit webhook-based Freshchat behavior.

You value SOC 2 Type II and published security maturity signals.

You want broad training sources (including helpdesk KB + internal tools + social/community sources).

❌

Don’t choose Alhena if…

You want pure “install marketplace app and you’re done” simplicity (Freshchat webhooks and Freshdesk assignment rules are real work).

You are looking for a cheaper AI agent.

You need fully self-serve ticket-history training without involving vendor support.

Should I use eesel as a Freddy AI alternative for Freshdesk?

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TL;DR: eesel is a great fit if you want a highly action-driven agent inside Freshdesk (including tagging, internal notes, assignment, and HITL approvals) and you’re comfortable configuring behavior via prompts/actions.

eesel is one of the more “operator-friendly” tools if you like controlling behavior via actions, approvals, and explicit triggers.

It also has strong public proof signals: it claims “trusted by more than 1,000 customer service teams” and large-scale processing on its homepage, plus public Freshdesk-specific content like the XYZ Reality customer story.

How does eesel integrate into Freshdesk?

eesel has a Freshworks Marketplace app listing, AI Agents for Freshdesk - eesel, and also documents a webhook-based setup option via Freshdesk automations in its Freshdesk webhook setup guide.

Inside Freshdesk, eesel documents a wide set of Freshdesk actions, including ticket tagging, closing, internal notes, assignment, and ticket updates in its Freshdesk integration documentation.

It also supports human-in-the-loop approvals per action in its Human in the Loop docs, which is a big deal if your support org is allergic to autopilot.

How easy is it to set up eesel in Freshdesk?

eesel claims you can get a helpdesk agent running in about 10 minutes in its Quickstart: Helpdesk Agent, but practical setup time depends on how much safety you want.

If you start with draft replies and/or HITL approvals (which eesel recommends in testing and deployment), you can go live without letting the bot “freestyle” in customer-facing replies immediately.

If you choose the webhook-based Freshdesk setup, you’ll need Freshdesk admin work (automation rules + headers) per the Freshdesk webhook guide.

What knowledge sources can I train eesel on?

eesel supports multiple Freshdesk-relevant knowledge sources:

help center crawling,

macros (indexed when you connect Freshdesk),

and past ticket training (with filtering), all documented in its Freshdesk integration docs.

It also supports a wide set of other knowledge sources (Google Drive, Notion, Confluence, PDFs, YouTube on certain plans), documented across its integration docs like Google Drive, Notion, and Confluence.

What features does eesel have?

eesel’s standout is its “actions-first” approach. In Freshdesk specifically, it documents actions like:

internal notes

tagging

assignment to agents/groups

updating ticket fields

and closing tickets

all in its Freshdesk integration docs.

It also supports “AI triage” workflows (tagging, assignment, field updates) described in AI Triage, and per-action approvals via Human in the Loop.

How do I improve my eesel responses?

eesel supports inspection (view sources per reply) and analytics like deflection rate and training gaps in its reporting and analytics docs.

It also documents a correction workflow: editing a response to teach the bot, which updates its Articles over time, described in its FAQ.

How secure is eesel?

eesel documents security and privacy posture in its security and privacy page and its privacy policy. It explicitly states it is not HIPAA compliant (in the security docs).

It also states data isn’t used to train models and mentions SOC 2 Type II-certified subprocessors in the privacy policy.

But currently they do not appear to have SOC 2 Type II certification themselves.

Who is using eesel?

eesel claims 1,000+ customers on its homepage, has customer stories on its site, and publishes a Freshdesk-specific story: XYZ Reality.

It also has reviews on G2, see eesel reviews on G2.

How much does eesel cost?

eesel publishes pricing in its docs:

Team: $299/month (no automatic helpdesk replies/triage)

Business: $799/month (includes automatic replies/triage; 3,000 interactions/month)

See eesel pricing.

Interactions are defined as each AI response, and actions do not count as additional interactions per the same pricing doc. It also notes overages are handled via support and provides a general pricing reference of ~$0.15 per interaction.

✅

Choose eesel if…

You want deep Freshdesk actions (tagging, assignment, internal notes, field updates) and strong control levers.

You want human-in-the-loop approvals before sending customer-facing replies.

❌

Don’t choose eesel if…

You want simple possible with minimal configuration thinking.

You require HIPAA compliance (eesel explicitly states it is not HIPAA compliant in its security and privacy docs).

Should I use CoSupportAI as a Freddy AI alternative for Freshdesk and Freshchat?

A screenshot of the CoSupport AI homepage.

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TL;DR: CoSupportAI is compelling if you want Freshdesk + Freshchat automation with operational controls like versioning/rollback and you like having multiple pricing models (including resolution-based pricing).

CoSupportAI positions itself as a customizable AI agent platform founded in 2023 (see About CoSupportAI) with an official platform launch announcement dated July 9, 2025 (platform launch article).

It also publishes Freshdesk/Freshchat case studies with measurable outcomes, like ProjectFitter and eCatering.

How does CoSupportAI integrate into Freshdesk and Freshchat?

CoSupportAI positions its Freshworks connectivity as supporting Freshdesk and Freshchat (chat + ticketing + email) on its Freshdesk integration page.

It also offers an AI Assistant product that runs as a browser extension and integrates with tools like Freshdesk for drafting, per CoSupportAI AI Assistant.

How easy is it to set up CoSupportAI in Freshdesk and Freshchat?

CoSupportAI claims “setup under 10 minutes” and “no complex setup or coding” on its integration pages (see Freshdesk integration).

That said, real-world case studies show a range:

eCatering: “completed in less than an hour” (eCatering case study)

ProjectFitter: two-week deployment timeline (ProjectFitter case study)

Not necessarily a contradiction, just a reality—those are different scopes.

Don’t expect complex automation + multi-channel rollout to be “10 minutes” regardless of vendor.

What knowledge sources can I train CoSupportAI on?

CoSupportAI states Freshdesk integration can pull from help center content, past tickets, and macros on its integrations page.

Its case studies also mention training from internal documents and historical tickets, e.g. eCatering and ProjectFitter.

What features does CoSupportAI have?

From the Freshdesk/Freshchat angle, CoSupportAI’s case studies describe capabilities including autonomous resolution, triage/routing, and summarization (see ProjectFitter).

CoSupportAI also publishes an “AI Translator” and states the AI agent supports 40+ languages on its AI Agent page.

For operational control, it documents versioning and manual deployment/rollback in its “Control Desk” write-up: AI Agent Control Desk guide.

How do I improve my CoSupportAI responses?

The Control Desk concept is the main public “improve loop” artifact: it documents a Playground to test questions, conversation review (including escalations), and seeing which data sources powered an answer, in the Control Desk guide.

It also defines resolution rate as “% of conversations fully handled by the AI” in that same guide.

How secure is CoSupportAI?

CoSupportAI claims enterprise-grade security posture including ISO 27001, GDPR, and CCPA/CPRA alignment on its security page. It also publishes a DPA (CoSupportAI DPA) and a subprocessor list (sub-processors list).

A specific thing to note: CoSupportAI’s terms of services state it may use anonymized service data to improve services/models with sanitation mechanisms. If your policy requires “no training/no improvement use,” that’s something to clarify contractually.

Who is using CoSupportAI?

CoSupportAI publishes customer stories including Freshdesk/Freshchat deployments, such as:

ProjectFitter

eCatering

Outstaff Your Team

It also has reviews on G2: CoSupportAI reviews.

How much does CoSupportAI cost?

CoSupportAI publishes multiple pricing models on its pricing page, including:

resolution-based pricing “from $0.19 / resolution”

response-based pricing “from $0.04 / response”

server-based pricing “from $99 / mo” for unlimited AI responses (with an “optimal performance” note)

That flexibility can be great—or it can be confusing—depending on how your support org buys software.

✅

Choose CoSupportAI if…

You want Freshdesk + Freshchat coverage plus operational controls like versioning/rollback.

You want the option of resolution-based pricing instead of pure usage-based pricing.

❌

Don’t choose CoSupportAI if…

You want pricing that’s a single obvious unit with no decision upfront (they offer multiple models, which means you’ll need to choose).

Should I use Wonderchat as a Freddy AI alternative for Freshdesk?

A screenshot of the Wonderchat homepage.

⚡

TL;DR: Wonderchat is best if you want a website chatbot that escalates to Freshdesk by creating tickets; it’s not documented as a full Freshdesk “reply inside the ticket” AI agent.

Wonderchat is a solid product, but it’s optimized for a different shape of problem than “replace Freddy inside Freshdesk.”

It has maturity signals like a public, active changelog and it claims “Trusted by 1000+ businesses worldwide” on its pricing page.

How does Wonderchat integrate into Freshdesk?

Wonderchat’s Freshdesk integration is documented as: when a user escalates to human support, Wonderchat creates a ticket in Freshdesk.

Setup uses a Freshdesk API key and enabling “Automatic Ticket Creation,” documented in the Wonderchat Freshdesk integration guide.

That’s useful, but it’s not the same as “AI replies inside Freshdesk tickets.”

How easy is it to set up Wonderchat in Freshdesk?

It’s pretty straightforward:

create a chatbot

train it on a website/files

embed the widget via script

connect Freshdesk via API key

and enable automatic ticket creation.

Those steps are documented across Wonderchat’s setup docs like creating your first chatbot and embedding a chat widget, plus the Freshdesk integration guide.

What knowledge sources can I train Wonderchat on?

Wonderchat documents training via websites and files (PDF, CSV, DOC/DOCX, PPT, JSON, etc.) in creating your first chatbot.

It also documents multiple integrations in its docs index, including Google Drive and SharePoint as listed in its integration guide list and pricing page, plus direct Zendesk-related training flows like training using Zendesk tickets and knowledge base.

For Freshdesk knowledge base syncing specifically, Wonderchat’s marketing page claims the bot can be trained on Freshdesk KB articles, but the provided Freshdesk integration guide focuses on ticket creation, not KB ingestion (compare Wonderchat Freshdesk use case page vs the Freshdesk integration guide).

What features does Wonderchat have?

Wonderchat has several advanced features for a web chatbot:

tools to call external APIs (custom chatbot tools)

workflows (chatbot workflows)

source citations (source citation options)

rules for behavior shaping (chatbot rules)

It also supports multiple agents per plan, shown on Wonderchat pricing.

How do I improve my Wonderchat responses?

Wonderchat supports corrections workflows (including bulk export/import) via export and import corrections.

It also documents evaluation tools like comparing responses across models/prompts in comparing responses across AI models.

How secure is Wonderchat?

Wonderchat states GDPR and SOC 2 Type II compliance in its materials (see technical FAQ and security page).

Its trust portal states EU-based hosting/processing in Germany, see Wonderchat trust portal.

Who is using Wonderchat?

Wonderchat publishes customer stories at Wonderchat customers (examples include Ko‑fi, 10xTravel, and Relate UK).

How much does Wonderchat cost?

Wonderchat pricing is published as message credits per month on Wonderchat pricing, for example:

Starter: $29/month for 1,000 message credits

Basic: $99/month for 5,000 message credits

Turbo: $299/month for 15,000 message credits Plus an add-on for extra credits.

That transparency is great.

The open question you’ll want to validate is how “message credits” map to your real support workload (tickets, back-and-forth threads, escalations).

✅

Choose Wonderchat if…

Your main goal is a website chatbot that can escalate into Freshdesk tickets cleanly.

You care about user-facing source citations and a web-first deployment model.

❌

Don’t choose Wonderchat if…

You want an AI agent that lives inside Freshdesk and replies directly in tickets (that’s not what its Freshdesk integration guide documents).

Your success metric is “reduce Freshdesk agent workload inside the inbox,” not just “capture escalations.”

So… which Freddy AI alternative is best for Freshdesk and Freshchat?

⚡

TL;DR: If you want the cleanest “replace Freddy with predictable pricing + safe rollout,” pick My AskAI; if you want flexible pricing models including resolution-based, shortlist CoSupportAI; if you want a web chatbot that escalates into Freshdesk tickets, pick Wonderchat.

Here’s the decision shortcut I’d use if I were in your seat:

If you want the fastest path to “AI inside Freshdesk/Freshchat” without burning your team, start with My AskAI because of its internal note reply mode and predictable per-ticket pricing (see My AskAI Freshdesk internal notes and My AskAI pricing).

If your CFO likes pricing choices and you want to model different commercial shapes (resolution-based vs response-based vs server-based), CoSupportAI is unusually flexible (see CoSupportAI pricing).

And if your Freshdesk “integration” requirement is primarily “create tickets when the website bot escalates,” Wonderchat is clean and transparent (see Wonderchat Freshdesk integration and Wonderchat pricing).

One last rollout tip that saves careers: run internal-only or human-in-the-loop first, measure handover/escalation and knowledge gaps, then go live publicly. Whether that means internal notes (My AskAI), HITL approvals (My AskAI,eesel), assignment-gating (Alhena), or versioned deployment (CoSupportAI), the strategy is the same: earn autonomy.

FAQs

Can I use AI in Freshdesk and Freshchat without using Freddy AI?

Yes. Freshworks offers Freddy (Freddy AI Copilot and Freddy AI Agent), but third-party tools like My AskAI’s Freshdesk integration and other vendors can also integrate via marketplace apps, API keys, webhooks, widgets, or extensions.

What’s the safest way to roll out an AI agent in Freshdesk?

Use a mode that does not immediately send customer-facing replies, then iterate using knowledge gaps and testing. For example, My AskAI supports internal note replies in Freshdesk, and eesel supports approval gating with Human in the Loop.

Which alternative has the broadest training sources (Google Drive, Notion, Confluence, etc.)?

My AskAI supports internal sources like Google Drive, Notion, Confluence, OneDrive, Dropbox, and SharePoint (plus Custom Answers). Alhena also documents a wide data source set, including Drive/Notion/Confluence and more in its Freshdesk KB articles data source docs.

Which tool is best if I only want a website chatbot that escalates to Freshdesk tickets?

Wonderchat is a strong fit for that. Its Freshdesk integration is documented around automatic ticket creation on escalation, and it has straightforward published pricing on Wonderchat pricing.

Is Freddy AI cheaper than third-party alternatives?

Freddy pricing is split: Freddy Copilot is $35/agent/month, and Freddy AI Agent sessions cost first 500 included, then $99 per 800 sessions. My AskAI pricing is ticket-based at $0.10/ticket (see My AskAI pricing) and can be modeled with the Freshdesk savings calculator. Actual cost depends heavily on your ticket mix (chat vs email) and how many AI replies are needed per resolution.

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