AI agents and multi-agent systems
Agents that carry out a defined task end to end: look something up, check it against a rule, take the next step, hand back what they cannot finish. Multiple agents where one task needs several kinds of knowledge.
Agents and Conversational AI
Most enterprise assistants fail for one reason: they cannot reach anything. We build agents that read your systems of record, cite what they found, and act only inside a set of actions you defined.
Talk to usThe assistant could not reach anything.
A general assistant was bought, rolled out, and used enthusiastically for about six weeks. Then usage fell away, because it could not see a ticket, an order, a policy document or a customer record. It could summarise what you pasted into it and nothing else.
The gap is not model capability. It is the wiring between the model and the systems where the work actually sits, and the ownership of that wiring after launch.
What we do.
Enterprise AI assistants
An assistant that is connected to your systems, knows who is asking, and only shows what that person is allowed to see.
Enterprise search and knowledge management
Retrieval across the document stores, wikis and shared drives you already have, answering with a citation to the source rather than a confident paragraph from nowhere.
How it works.
Five steps. Nothing hidden in the middle.
- Someone asksIn the tool they already have open, not a separate chat window they have to remember.
- It finds the recordRetrieval across the systems the person is entitled to see, filtered by their own permissions.
- It decides the stepThe agent plans against the task, using only the tools it has been given.
- It stays in the action setAnything outside that set stops and goes to a person. Every step is logged.
- It answers, with sourcesThe answer carries a link back to the record it came from, so it can be checked.
What it does not do.
- An agent does not act outside the action set you defined for it. If it has not been given a tool, it cannot use one.
- It does not approve spend, sign anything, or contact a customer without a human step in between.
- It does not invent an answer when retrieval comes back empty. It says it does not know and hands over.
What we measure.
Containment rateThe share of questions it finishes without a person, tracked weekly rather than claimed once.
Time to first useful answerHow long from asking to something the person can act on.
Answers with a verifiable sourceThe share of responses that carry a citation somebody can open and check.
Weekly active users at week 12Measured against week 2, because the second month is where these things usually die.
Who buys this
Tell us where the work is.
One conversation, no pressure. We will tell you what we would build, and what we would not.
Talk to us