Answers and actions for every team, inside the tools they already use.
AI agents for HR, IT, operations, finance, compliance and sales, in Slack, Microsoft Teams, Google Chat and your intranet. They answer from approved policies with the source shown, handle routine requests end to end, and prepare work for people to approve.
What it does
Policy answers with the source
HR, finance and compliance questions answered from approved documents, with the page cited.
Requests handled end to end
Leave, access, equipment and expense requests raised, routed and tracked.
Drafts for people to approve
Reports, replies and summaries prepared, then checked and sent by your staff.
Connected to your systems
HR, IT and finance systems, document stores and chat tools, through connectors.
Access that matches the person
Each employee sees only what their role allows.
In your environment
On your cloud or data centre, with open-weight models when data must stay inside.
What it looks like
Nothing happens until the employee says yes, and every step is logged for your team.
Example conversation. Names, products and prices are illustrative.
What it is allowed to do
Can do
- Answer from approved policies, citing the source
- Fill in and route requests
- Draft documents and replies
Only after a yes
- Submitting a request on someone’s behalf
- Sending anything outside the team
- Changes in HR, IT or finance systems
Never does
- Show anything beyond the person’s role
- Make HR or finance decisions
- Send a draft nobody approved
Always recorded
- Who asked
- Which sources were used
- What was approved and what was done
Review
The first two or three use cases, ranked by value, with a plan and a price.
First AI agent
One team, one AI agent, measured against agreed goals.
Rollout
More teams and systems on the same foundation.
Runs on: Applications and agents Agent platform Models and inference
Tell us what you need. We will suggest where to start.
Any layer, any size: a review, a project, a programme or a partnership.