// Overview
Where this product fits
// Audience
Who it is for
Companies whose staff or customers keep searching documents, tickets and databases for answers that already exist somewhere in the business, and keep asking the same people instead.
// Problem
The problem
Knowledge is spread across tools that do not talk to each other, generic chatbots invent answers, and nobody can see which source an answer came from or check it.
// Deliverables
What we would build
Search over your documents and data
Your staff and customers search documents, tickets and databases in one place, and find answers by meaning rather than by the exact words used.
An agent that cites its sources
Every answer the agent gives links to the passages it used, so people can check the source before they act on what it says.
Tools to act in your systems
Beyond answering, the agent takes approved actions in your systems, such as opening a ticket or updating a record, on the user's behalf.
Access rules per user and role
The agent sees only what the person asking may see, so private documents stay private and every answer respects the permissions you already have.
An MCP server for your team's tools
An MCP server opens your data and actions to the AI assistants your team already uses, under the same access rules as the agent.
Evaluation and guardrails
A test set measures answer quality before each release, and guardrails stop the agent from guessing, leaking data or acting outside its role.
// Process
How it works
- 01.
Your content is indexed for search
Documents and records are split into passages, embedded and stored in a vector index that updates as your content changes.
- 02.
The agent retrieves before it answers
For each question the agent first fetches the most relevant passages, then writes its answer from them rather than from memory.
- 03.
Every answer links to its sources
Answers arrive with references to the documents they came from, so a reader can open the original and check it.
- 04.
Guardrails stop actions outside its role
Each tool the agent can call has limits, and a request outside those limits is refused and logged for review.
Let's build
your product.
Tell us what you're building and where it stands. We'll scope it with you on a call and give you a straight answer on fit.
- 01
Book a call
Pick a time on our calendar and tell us what you want to build.
- 02
Shape the scope
Together we name the users, the first release and what success looks like.
- 03
Get a proposal
We send a written plan with the scope, the steps and the engagement that fits.
- 04
Start the work
We begin with Discovery and show you working software early and often.