AI Assistants That Work With Your Business Systems.
We build practical, controlled AI assistants that help your team find information, handle routine requests and prepare work — inside the boundaries you set.
The business problem
Useful AI needs access, limits and oversight.
A chatbot that doesn't know your business is a novelty. An assistant with unlimited access is a risk. The value is in between: connected to the right data and tools, with clear limits.
- 1Staff searching documents and chats for answers
- 2Support teams re-reading the same enquiries
- 3Information locked in PDFs and email threads
- 4Pilots that never reach daily use
What we deliver
What you get.
Knowledge retrieval
Assistants that answer from your approved documents and data, with sources shown.
Workflow assistance
Drafts, summaries and suggested next steps inside existing processes.
Customer enquiry triage
Classifying and routing incoming requests to the right team.
Document understanding
Extracting structured information from documents for review.
Internal operational assistance
A helpdesk-style assistant for HR, IT or operations questions.
Authorized tool usage
Assistants that can take specific, approved actions in your systems.
Example use cases
Where this applies.
Support triage
Categorize and prioritize incoming enquiries and suggest replies for a person to review.
Internal knowledge assistant
Answer policy and process questions from your own documentation.
Document intake
Extract fields from invoices or forms and send them for human verification.
Safeguards
Control is part of the design.
We don't give assistants unsupervised access to sensitive operations. These controls are built in from the start.
Human oversight
People review and approve outputs that matter.
Scoped tool permissions
Assistants can only use the specific tools and data you grant.
Approval before high-impact actions
Payments, deletions and external messages need a person's sign-off.
Logging and auditability
A record of what the assistant saw, said and did.
Security controls
Access control, data minimisation and secrets handling.
Evaluation and monitoring
Quality is measured before launch and watched afterwards.
Error handling
Graceful fallbacks and escalation to a person when it's unsure.
How the process works
How we build assistants responsibly
- 01
Define the job
Pick a narrow, valuable task and decide what the assistant must never do.
- 02
Prepare data and access
Connect only the data and tools the assistant genuinely needs.
- 03
Build and evaluate
Test against realistic examples and measure quality before launch.
- 04
Launch with oversight
Start with human review, logging and usage limits.
- 05
Monitor and refine
Review quality, cost and edge cases; expand scope only when it's earned.
Related
Relevant products and work
Verified case studies and related products will be listed here once approved for publication.
Frequently asked questions
Will the assistant act on its own?
Only where you decide. High-impact actions require human approval, and tool permissions are scoped to specific tasks.
Can it make mistakes?
Yes — AI can be wrong. We design for that with review steps, source citations, evaluation and monitoring. We don't promise error-free output.
Is our data safe?
We apply access controls, minimise the data shared with models, and discuss hosting and provider options for your requirements before build.
What does it cost to run?
AI usage has an ongoing cost. We estimate it up front and build in usage controls.
What's Slowing Your Business Down?
Tell us about the repetitive tasks, disconnected systems, or operational challenges your team faces. We'll help you explore practical ways to improve them.