AI assistants for your business.

Assistants and integrations that work from approved information, handle real tasks and have a named owner.

An assistant helps two colleagues connect an open reference book with a useful answer.

Choose a task before choosing a model.

We start with a repeatable problem: finding the right information, preparing a draft or helping a customer take the next step. Then we define the assistant’s boundaries and test whether it performs that task well enough to earn its place.

What we can build together.

The final deliverables, review rounds and schedule are agreed around your brief.

Use-case discovery: Identify a focused task, the people involved and the information needed to complete it.
Knowledge and access: Connect approved sources and define which data and actions the assistant can access.
Assistant design: Build the conversation or workflow around the task, including clarification and human review.
Evaluation and operation: Test representative examples, document limitations and agree maintenance and usage monitoring.

Choose a pilot you can evaluate.

Define quality with examples

“An assistant that knows our business” leaves too much open. Choose a task and prepare representative inputs with examples of acceptable answers. Include incomplete questions, conflicting source material and requests that should be handed to a person.

Decide what happens after the answer

A draft for a colleague to review has different consequences from an action that updates a customer record. Define that boundary explicitly. Keep the first pilot narrow enough to observe, review and correct before adding new data sources or permissions.

From brief to handover.

Define a small pilot
Choose one task with a named owner and a simple way to judge quality.
Build and evaluate
Connect the information and test normal questions, edge cases and unsupported requests.
Introduce it responsibly
Roll out to the agreed users with feedback, monitoring and a route to a person.