Moduna
Intent analytics for AI agents

Turn AI agent conversations into clear product decisions.

Moduna helps you understand what users are asking your agent to do, where the experience breaks, and what to improve next — without manually reading thousands of chats.

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Moduna
Live pattern view

Raw AI conversations

“Can you reset my VPN?”
“Why was this ticket closed?”
“Help investigate this alert”
“I still cannot access my account”
Moduna

Clear insights

Access issues34%
Ticket status questions21%
Security investigations18%

Repeated failures

VPN reset, login recovery

The problem

AI teams are collecting conversations, but not understanding demand.

Too many chats to read
Once an agent has hundreds or thousands of conversations, manual review stops working.
Dashboards show activity, not meaning
Message counts and token usage do not tell you what users actually wanted.
Important patterns stay hidden
Common frustrations, missing workflows, and repeated failures are buried inside raw logs.
How it works

Moduna organizes the noise into answers.

Moduna reads the pattern across your AI agent conversations and shows you what users want, what the agent handles well, and where it is falling short.

Step 1
We look at every user request
Moduna reads the prompts sent to your AI agent through your existing workflow.
Step 2
We group similar requests together
Instead of showing 1,000 scattered chats, Moduna identifies recurring themes.
refund requestslogin problemssecurity investigationsIT access issues
Step 3
We show what matters
You get a clear view of top user needs, growing trends, repeated failure areas, and new automation opportunities.
Before and after

Before Moduna vs. after Moduna

Before Moduna

Thousands of conversations

Guesswork from anecdotes

Hard to spot repeated user needs

Product teams rely on manual reviews

Agent failures are discovered late

After Moduna

Clear intent categories

Measurable user demand

Repeated issues surface automatically

Teams know where to improve the agent

Faster product and workflow decisions

Concrete example

Example: An IT support agent

Imagine your company has an AI agent that helps employees with IT support. Over one month, it receives 12,000 conversations.

Without Moduna
Your team can see activity, but the reason behind that activity stays unclear.

You know usage is growing.

You know some users escalate to human support.

But you do not clearly know why.

it-support-insights
Account access +28% this month
Account access

0%

of all requests

Software installs

0%

of all requests

VPN issues

0%

of all requests

Requests by intent

Percent of monthly conversations

Jan
Feb
Mar
Apr
May

VPN reset requests fail more often than other intents.

That points to a coverage gap the team can fix first.

Account access requests have grown 28% this month.

That gives product and operations teams a clear priority.

Now the team knows exactly what to automate, what to fix, and where the agent needs better coverage.

Useful answers

Questions Moduna answers for you

What are users most often asking the agent to do?

Which requests are increasing over time?

Where does the agent fail or hand off to humans?

Which user needs are not being served well?

What workflows should we automate next?

Are users using the agent the way we expected?

Who it is for

Built for teams that need clarity, not more logs.

Product Leaders
See what users truly need and prioritize roadmap decisions with evidence.
AI / Engineering Teams
Find repeated failure patterns and understand where the agent needs improvement.
Operations Teams
Spot common requests, workflow bottlenecks, and opportunities to reduce manual work.
Why it matters

Better understanding leads to a better agent.

Improve the product
Build based on real user demand, not assumptions.
Reduce blind spots
Catch recurring issues before they become major support or reliability problems.
Move faster
Spend less time digging through conversations and more time acting on the insight.

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See what your AI agent users are really trying to do.

Moduna turns scattered conversations into clear intent analytics your team can act on.

Book a Demo