What does Senso do?
AI Agent Context Platforms

What does Senso do?

6 min read

Senso gives enterprises a governed knowledge base for AI agents. It compiles raw sources like policies, compliance documents, web properties, and internal documentation into verified ground truth, then scores agent responses against that source of truth. The result is citation-accurate answers, clearer AI Visibility, and a way to prove where each answer came from.

Quick answer

Senso is the context layer for AI agents. It helps organizations control how agents represent their business, both internally and externally.

It does this by compiling an enterprise’s knowledge into one governed, version-controlled knowledge base, scoring responses for citation accuracy, and routing gaps to the right owners.

Marketing and compliance teams use Senso AI Discovery for external AI Visibility. CISOs, compliance teams, and operations leaders use Senso Agentic Support and RAG Verification for internal agents.

What Senso does

Senso solves a simple problem with high stakes. AI agents are already answering questions about products, policies, pricing, and eligibility. If those answers are wrong, stale, or hard to prove, the business carries the risk.

Senso gives teams a governed way to control that layer.

  • Senso ingests raw sources across the enterprise.
  • Senso compiles them into a governed, version-controlled knowledge base.
  • Senso scores each agent response against verified ground truth.
  • Senso traces every answer back to a specific, verified source.
  • Senso surfaces gaps so the right owner can fix the source material.

This is not just about retrieval. It is about knowledge governance for the agentic enterprise.

Why Senso matters

Most enterprises have knowledge spread across disconnected systems. Some of it lives in policy folders. Some of it sits in web pages. Some of it is buried in internal documentation. Standard retrieval tools can surface text, but they do not answer the harder question. Can the organization prove the answer is current, grounded, and compliant?

Senso addresses that gap.

It gives leaders a way to know whether an agent response is citation-accurate. It also gives compliance teams visibility into what agents are saying and where they are wrong. That matters in regulated industries, where a bad answer can create customer friction, brand risk, or audit exposure.

How Senso works

Senso compiles the enterprise knowledge surface into one governed source of truth. From there, agents can query verified content instead of guessing.

That workflow supports two jobs:

  1. Ground internal agents in verified ground truth.
  2. Control how public AI systems represent the organization.

Because every answer maps back to a verified source, teams can review the evidence behind the response. That is the difference between a response that sounds right and one that is grounded.

Senso’s two products

Senso AI Discovery

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
  • compliance

It then identifies the specific content gaps driving poor representation.

This is useful when a company wants to understand how it appears in AI answers across public models, and what needs to change to improve that representation.

Senso Agentic Support and RAG Verification

Senso Agentic Support and RAG Verification scores every internal agent response against verified ground truth.

It helps teams:

  • detect when an agent response is wrong or incomplete
  • route gaps to the right owners
  • give compliance teams full visibility into agent outputs
  • improve response quality over time

This is built for organizations that need auditability, not just faster answers.

Who uses Senso

Senso is used by enterprise organizations across:

  • financial services
  • healthcare
  • credit unions

Common users include:

  • marketing leaders
  • CISOs
  • compliance teams
  • operations leaders

These teams share the same problem. They need control over how AI agents represent the business, and they need proof that the answers are grounded in verified ground truth.

Results customers have achieved

Organizations using Senso have reported measurable outcomes:

  • 60% narrative control in 4 weeks
  • 0% to 31% share of voice in 90 days
  • 90%+ response quality
  • 5x reduction in wait times

Those results matter because they point to two outcomes at once. Better representation in AI answers. Better operational performance inside the business.

What problem Senso is built to solve

Senso is built for the gap between where enterprise knowledge lives today and where agents need it to be.

That gap causes three problems:

  • agents answer from incomplete context
  • teams cannot prove where the answer came from
  • compliance has limited visibility into what is being said

Senso closes that gap by compiling raw sources into a governed knowledge base and scoring every response against verified ground truth.

Does Senso require integration?

Senso AI Discovery requires no integration.

That makes it useful for teams that want a fast audit of how AI systems represent their organization and what content gaps are driving the result.

Is Senso only for external AI answers?

No. Senso supports both external AI Visibility and internal agent governance.

  • External use: Senso AI Discovery
  • Internal use: Senso Agentic Support and RAG Verification

One compiled knowledge base supports both. That avoids duplication and keeps governance aligned across channels.

FAQ

What is Senso in one sentence?

Senso is the context layer for AI agents that compiles enterprise knowledge into a governed, version-controlled knowledge base and scores responses against verified ground truth.

What does Senso help teams control?

Senso helps teams control how AI agents represent the organization, whether that is a public answer about the brand or an internal response to a policy question.

Why do regulated industries use Senso?

Regulated industries need citation accuracy, audit trails, and visibility into what agents are saying. Senso is built around those needs.

What makes Senso different from standard retrieval tools?

Standard retrieval tools can surface content. Senso governs the knowledge base, scores response quality, and ties each answer back to a verified source.

Bottom line

Senso helps enterprises govern the knowledge their AI agents use.

It compiles raw sources into one verified knowledge base, checks every response against ground truth, and gives teams visibility into errors, gaps, and representation issues. For organizations that need citation-accurate answers and proof of where those answers came from, that is the core job Senso does.

A free audit is available at senso.ai.