Service · AI integration
Make the system you already have an AI system.
AI Integration adds AI capabilities to your existing product or platform: assistants over your own data, document processing and extraction, intelligent search, and classification. We scope which capability actually pays first, then build it with proper guardrails, on your infrastructure. No rebuild.
What’s included
Every engagement ships these.
How the sprint works
Human-led, agent-built, iterating fast.
You already have a working system; the question is which AI capability pays for itself first. That is where the engagement starts - a scoping pass on your data and workflows. Then the agent team builds and tests the feature against your real data in a 2-4 week sprint, with guardrails agreed before it ships. A Care Plan keeps the models and prompts tuned after launch.
Scope the feature against your system
We audit the system as it stands — its API, data, and where the AI feature will live — and pin down exactly what the feature should do and how you'll know it works. That becomes a fixed scope, timeline, and SGD price.
Choose the model and design the guardrails
The delivery lead picks the model per task (Claude or OpenAI), decides how the feature is grounded in your data, and designs the guardrails and any human approval steps — before the build starts.
Build and evaluate on your real data
AI agents build the integration and a QA pass evaluates it against your real inputs and edge cases — checking accuracy, sourcing, and behaviour under bad input, not just the happy path.
Integrate, deploy, hand over
The feature is wired into your system, deployed on your infrastructure, and handed over with source and documentation. You can extend it or take it in-house from there.
Who it’s for
A good fit if…
- Companies with an existing product or platform that want AI features without tearing it down and rebuilding.
- Teams drowning in documents — forms, PDFs, emails — who want the data pulled out and structured automatically.
- Product owners whose users keep asking questions your team answers by hand, and who want an assistant grounded in the real answers.
- Businesses whose search or triage is keyword-brittle or manual, and who want it to understand intent instead.
How we work
Pricing
S$10,000-20,000
per integration project. Fixed scope, fixed timeline, quoted in SGD after a short scoping call. Pilot sprints are available on a success-or-refund basis.
FAQ
Questions we get asked.
Do you have to rebuild my system to add AI?
No — that is the whole point. AI Integration adds capabilities to the system you already run, connecting through its API, database, or content without a rewrite. If a rebuild genuinely is the better path we'll say so, but the default is to add AI features to what you have.
How do we know which AI feature is worth building first?
That is decided before the sprint, not after. The scoping pass ranks candidate features by usage, hours saved, and data readiness - the same evidence-first method as our standalone advisory. You see the ranking and the reasoning before committing to a build.
What guardrails keep the AI from going wrong?
Features are grounded in your own data so answers are sourced rather than invented, and we add input and output checks, scope limits, and — where it matters — a human approval step. During scoping we agree what the feature must never do, and build the checks to enforce it.
Where does my data go?
It runs on your infrastructure. The integration is built PDPA-compliant, hosted in Singapore unless you specify otherwise, and IP is assigned to you on delivery. You keep control of your data and the code.
Your turn
Start with an audit, not a contract.
We start with a short scoping call, agree on the KPI, and quote a fixed sprint. If we miss the number we agreed on, you don’t pay for it.