Decision intelligence for production AI agents
Moduna turns production conversations into new business opportunities and exposes blind spots where your agent fails users, so product teams know what to build next.
Get started in minutes
Instrument the agent once. Moduna continuously turns the conversations already happening in production into structured product evidence.
from moduna import Instruments, Moduna
moduna = Moduna()
moduna.init(
{
"app_name": "customer support",
"framework": Instruments.LANGCHAIN,
"api_key": "mod_...",
}
)Opportunity radar
See emerging needs, repeated workarounds, and high-value conversations that point to the next workflow, feature, or revenue opportunity.
Emerging opportunity
Enterprise pricing handoff
+38%
Blind-spot detection
Detect unresolved intents, clarification loops, missing handoffs, and confident answers that never actually help the user finish the job.
42%
Non-resolution
32%
Frustration rise
14
Blind spots
How it works
Add Moduna to the agent stack you already run.
Cluster real conversations into goals, friction, and unmet demand.
Rank the blind spots and opportunities worth shipping next.
Moduna shows what users want, where the agent breaks, and what to improve next.
Why it matters: Refund-related conversations account for 18% of unresolved demand. Frustration is up 32% week over week, and 42% of these conversations fail to reach resolution.
Add guided refund escalation workflow
Improve billing dispute handling
Route enterprise pricing questions to sales earlier
| Intent | Volume | Failure Rate | Impact | Recommended Agent Improvement |
|---|---|---|---|---|
| Refund escalation | 1,284 | 42% | High | Add guided refund workflow |
| Billing dispute | 912 | 36% | High | Improve resolution policy |
| Subscription cancellation | 740 | 29% | Medium | Add retention flow |
| Enterprise pricing | 418 | 25% | High | Route to sales earlier |
| Password recovery | 390 | 18% | Medium | Improve authentication handoff |
Build from production truth
Moduna makes the signal visible, ranks what matters, and shows where your AI agent needs to improve.