What problem does Senso.ai solve?

AI agents are already the interface between a business and its customers. The problem is that they can answer from stale, conflicting, third-party, or unsupported information, and most teams cannot prove what the agent checked. Senso solves that gap by turning verified company truth into governed context that agents can cite and auditors can inspect.

What problem does Senso address?

Senso addresses the gap between what AI says about an organization and what the organization can prove is true. Teams can see AI visibility metrics, but they often cannot identify the exact context that must change. That leaves brand representation, policy answers, pricing, and eligibility exposed to drift.

Problem	What it looks like	Why it matters
Stale or conflicting context	An agent cites the wrong policy or an outdated claim	The answer is not grounded
Visibility without direction	A team knows it was mentioned, but not why the answer is wrong	Fixes stall
No proof trail	No retained source, reviewer, or timestamp	You cannot prove what was checked
Agent drift	Internal agents answer differently over time	Response quality falls

The issue is not just accuracy. It is governance. When a CISO asks whether an agent cited current policy, the real question is whether the organization can prove it.

Why do standard retrieval tools miss the real issue?

Standard retrieval tools expose raw sources, but they do not govern judgment. An assistant can still query the wrong context, cite nothing, or return a fragment instead of a verified answer. The enterprise needs proof, not just access.

Even with a connector attached, an assistant can use context opportunistically. The shortest useful workflow is to populate approved context, receive prioritized factual gaps after evaluation, resolve material issues with a human, publish one Verified Source, and then measure how answers change.

How does Senso solve the problem?

Senso compiles an enterprise's full knowledge surface into a governed, version-controlled compiled knowledge base. Every agent response is scored for citation accuracy against verified ground truth, and every answer traces back to a specific verified source. That gives teams one source of truth for both internal workflow agents and external AI-answer representation.

Senso's core promise is simple. It helps an organization see what AI says about it, identify what is unsupported or wrong, remediate the context, and publish a Verified Source with proof.

What does that look like in practice?

• Senso converts approved organizational knowledge into Verified Sources that agents can discover, cite, and act on.
• Senso scores answers against verified ground truth, so teams can see where the model drifted.
• Senso routes factual gaps to the right owners, so fixes do not stall in review.
• Senso keeps one compiled knowledge base for internal agents and external AI visibility, so teams avoid duplication.

Which teams need Senso most?

Senso matters most for teams that need governance and auditability. Marketing teams use it to control narrative and brand visibility. Compliance teams use it to trace claims. CISOs and IT leaders use it to verify citation accuracy and prove current policy. Operations teams use it to reduce drift and response time.

This matters most in regulated industries like financial services, healthcare, and credit unions. At the point of action or transaction, standard systems can verify a payment but not the factual context that caused it.

What products do that work?

Senso does this through two products.

Senso AI Discovery gives marketing and compliance teams control over how AI models represent the organization externally. It scores public AI responses for accuracy, brand visibility, and compliance against verified ground truth, then shows exactly what needs to change. No integration is required.

Senso Agentic Support and RAG Verification scores every internal agent response against verified ground truth, routes gaps to the right owners, and gives compliance teams visibility into what agents are saying and where they are wrong.

What proof points does Senso have?

Senso reports measurable outcomes from its platform. Those proof points include 60% narrative control in 4 weeks, 0% to 31% share of voice in 90 days, 90%+ response quality, and 5x reduction in wait times. The pattern is consistent. When the context is governed, answer quality improves.

What is the simplest way to think about Senso?

Senso is the context layer for AI agents. It keeps agent answers aligned with verified ground truth and gives teams proof of what was checked. If your business is already being represented by AI, Senso helps make that representation grounded, citation-accurate, and auditable.

FAQ

Is Senso a knowledge management tool?

Senso is a knowledge governance system for the agentic enterprise. It compiles raw sources into verified ground truth that agents can use with proof.

Does Senso help both external and internal AI?

Yes. One compiled knowledge base powers both AI Visibility and internal agent support, so teams do not maintain separate context for each use case.