AI assistants that find answers.
Grounded in your docs and systems—for teams, customers, and support.
Singapore-based. Built for production deployments.
Internal knowledge assistant
Who this is for
If any of these sound familiar, you’re in the right place.
- “The answer exists somewhere… but nobody can find it quickly.”
- New hires take too long to get productive.
- Support and ops teams repeat the same explanations every week.
- Knowledge lives across too many places (docs, tickets, chats, drives).
- You want AI—but you need it accurate, governed, and safe to deploy.
Not sure where to start?
Start with a Discovery Sprint →
We’ll help you choose the highest-ROI workflow and a safe path to production.
Outcomes
Built for trust and adoption
Cited answers
Every response links back to the source.
Less searching
Reduce time lost across wikis, files, and tickets.
Enterprise controls
Permissions, auditability, and controlled deployments.
Use cases
Common assistants we ship
Problem-led builds that start grounded, measurable, and permission-aware.
Internal
Knowledge Assistant
Instant answers from approved internal knowledge—with citations.
Customer
Support Copilot
Draft accurate replies faster, backed by your help content and tickets.
Onboarding & Enablement Assistant
Help staff find the latest “how we do things” materials, fast.
Compliance & Governance Q&A
Policy-aligned answers from controlled sources, designed for auditability.
Not sure where to start?
Book a short consult — we’ll point you to the fastest ROI workflow.
Discovery Sprint
Start with a 2-week Discovery Sprint.
For teams that want an AI assistant but need clarity on use cases, data readiness, security constraints, and what “good” looks like before building.
If you already have a clear spec and want implementation, visit: How we build.
What you’ll get
- Use case shortlist + recommendation
- Source + access review (permission boundaries)
- Success metrics (accuracy, time-to-answer, adoption)
- Pilot plan (timeline, scope, resourcing)
- Deployment & security plan (where it runs, how access is controlled)
How it works
- Stakeholder workshop + workflow mapping
- Source review + prototype approach for retrieval and grounding
- Sprint readout: written plan + pilot scope + next-step build proposal
Trusted by
Clients all over the world
“...a very talented developer, handling both complex back end database work and front end user experience. I wouldn't hesitate to recommend him for any project going forward.”
Ben Leftwich
Vice President Marketing at Dart
Final step
Ready to turn scattered knowledge into a trusted AI assistant?
Book a short call. You’ll leave with a clear recommendation on the best starting use case, the likely pilot scope, and what it takes to deploy safely.
Singapore-based. Available for on-site workshops when helpful.
