An Intercom alternative that lives inside your product
Intercom put a Messenger on top of your app. AGO puts an agent inside it. Through the AGO SDK the agent navigates your routes, reads your page state, and calls your own functions, so it can finish the job rather than describe it. Your ticketing tool stays exactly where it is.
AGO resolves in product, your help desk keeps the tickets
AGO sits inside your application rather than in a bubble on top of it. It answers, acts in your systems, and resolves. When a human is genuinely needed, it hands over with the full context attached.
AGO replaces the messenger and chatbot layer. Your help desk, your routing, your SLAs and your reporting all keep working.
Why support leaders evaluate an Intercom alternative
Intercom built the messenger category and Fin made AI deflection mainstream. The teams that come to us want the agent to act inside the product, and they want the pricing to follow outcomes rather than seats.
The agent stays outside the product
A messenger can answer a question about your app. It cannot open the right screen, prefill the form, or run the workflow. AGO does that through the SDK, inside your own interface.
Deflection is not resolution
Answering from a help center article closes the chat, not the job. AGO queries your systems and completes the task, so the conversation ends because the problem is gone.
Seat plus resolution pricing compounds
Paying for seats and then again per AI resolution makes the bill grow with both headcount and volume. AGO is priced per conversation, so the incentive is to resolve more, not to seat more.
Complex B2B outgrows the FAQ bot
Tiered permissions, customer specific configuration and multi step workflows need an agent that reasons over your real data. That is what AGO was built for, and what Mirakl runs it on.
AGO vs the Intercom Messenger at a glance
A direct comparison on the capabilities that matter once you want the agent to act rather than answer.
| Capability | AGO | Intercom Messenger |
|---|---|---|
| AI agent embedded inside your product | Runs inside your own app through the SDK, navigating your routes and updating your page state | A messenger widget layered on top of your site, with no agent inside the product |
| Agents that take action, not just answer | DeepAgents reason over multiple steps and trigger real workflows in your systems | Fin answers from your help center and connected content, with limited action taking |
| Pricing model | Priced per conversation at 0.50 euro with a monthly minimum, so cost follows resolution | Seat pricing plus a separate charge per AI resolution |
| Keeps your existing help desk | Designed to sit in front of Zendesk, HubSpot, Help Scout or your own tool and escalate into it | Works best when Intercom is also your ticketing system |
| Implementation support | Forward deployed engineers design and tune the agent inside your product and your context | Self serve setup, with professional services sold separately |
| Native multilingual coverage | Any language with automatic knowledge translation from one source of truth | Multilingual support that generally expects per language content management |
Comparison based on publicly available Intercom product documentation as of August 2026. Intercom and Fin are trademarks of Intercom, Inc. AGO is not affiliated with or endorsed by Intercom. Last verified August 4, 2026.
An agent that operates your product, not a bubble beside it
Where a messenger hands the customer an article, AGO finishes the task inside the interface the customer is already looking at.
DeepAgents that act
Autonomous agents read context, query your systems, and trigger workflows. They do not just suggest an article, they resolve the conversation.
Escalation with full context
When a human is truly needed, AGO opens a ticket in your existing help desk with the conversation, the steps tried, and the customer context attached.
Native multilingual
One knowledge base, any language, no duplicated content libraries for each market you sell into.
Enterprise security
SOC 2 Type II certified. Your authentication and permissions flow through the agent, so customers and staff only see what they are allowed to see.
Forward deployed engineers
A senior engineering team designs, builds, and tunes your AI workflows alongside you, inside your product and your real context.
Continuous learning
Analytics surface knowledge gaps and unresolved patterns so your agent improves every week rather than plateauing after launch.
What moving off the Intercom Messenger looks like
You keep your ticketing tool. We put the agent inside your product. Most teams are live in front of customers within the first month.
Connect knowledge and IT systems
We plug AGO into your help center, Confluence, Notion, internal docs, ERPs, CRMs and product APIs. No content rewrite required.
Embed the agent
The Messenger is replaced by AGO running inside your app through the SDK. Anything that needs a human is pushed into your help desk with full context.
Tune and scale
As resolution rates climb, fewer conversations become tickets. Your human team focuses on the cases that genuinely need them.
Common questions about replacing Intercom
Quick answers on how AGO compares to Intercom and Fin, and what a move involves.
Do I have to leave Intercom to use AGO?+
No. Many teams keep Intercom as the inbox for human agents and put AGO in front of it as the conversational layer. AGO resolves what it can inside your product and opens an Intercom conversation only when a human is genuinely needed.
How is AGO different from Intercom Fin?+
Fin is an AI agent that answers from your help center and connected content inside the Intercom Messenger. AGO runs inside your own application through an SDK, so it can navigate your routes, read your page state, call your functions, and complete a task rather than describe it. The difference shows up on requests that need an action, not an answer.
How does the pricing compare?+
AGO is priced per conversation at 0.50 euro with a 500 euro monthly minimum, and enterprise pricing for high volume. Intercom charges for seats and then separately per AI resolution. Teams with a large agent headcount or high AI volume usually find the per conversation model easier to forecast.
Is AGO a free Intercom alternative?+
No. AGO is priced on outcomes rather than offered free. If you are looking for a free Intercom alternative, an open source help desk will fit better. AGO is aimed at teams who want conversations resolved autonomously and are measuring the cost against support headcount.
Can AGO handle complex B2B support?+
Yes. AGO was built for complex B2B environments with deep product knowledge, custom workflows, and tiered customer access. Mirakl runs 25k conversations a month on AGO with 96 percent handled end to end by AI.
How long does implementation take?+
Production value in weeks, not months. Our forward deployed engineers embed the agent within the first month, then iterate weekly with your team.
Ready to reimagine your customer experience?
Deploy AI agents that truly understand your customers and your business. Book a demo with our team to see Ago in action.