Internal knowledge search and access with AI

Internal knowledge search with AI puts agents to work searching, summarizing and citing your organization's information, respecting existing permissions and always showing the source. Instead of asking a colleague or giving up after ten failed searches, anyone can find the right —and verifiable— answer in seconds.

The problem it solves

An organization's knowledge is scattered across wikis, shared drives, emails, old tickets and the heads of its most experienced people. Finding the right answer takes time, and sometimes it isn't found at all: work that already existed gets redone, answers come from outdated information, or whoever "knows where it is" gets interrupted. When that person isn't around, the knowledge leaves with them.

What it solves, specifically

• Asking in natural language about your documentation and getting an answer with the source cited.
• Answers that respect permissions: each person sees only what they're authorized to.
• Summaries of long documents, contracts or support threads without reading them in full.
• Reducing the dependence on "asking the person who knows" and retaining the organization's knowledge.

How we build it

We follow the research → build → hand off method. We research where your knowledge lives and which questions come up most. We build the search on RAG, connected to your sources, so the system answers with your verifiable data and not with generic knowledge; it respects existing permissions and cites the source of every answer, with traceability of which document backs it. Then we hand off the knowledge so your team can run it. We agree on one business metric —search time, self-service, queries resolved without escalation— and measure against it.

Who it's for

Any function that depends on scattered documentation: support, sales, legal, operations, HR, product. Innovation or R&D opens the door, but the search is designed to serve the whole organization and for your people to govern it.

How we approach it at Codara

As your applied-AI partner, we start from your knowledge and your permissions, not from a generic search engine. Tell us the challenge and we'll design the system around you: it can be a bespoke build or a capability within an Agentic OS, where the search feeds the other agents that run your processes.