AI Services · Integration
Get the pilot out of the sandbox
A chatbot one team loves isn’t a capability. Most AI programmes stall in the gap between a demo that impressed everyone and a system the organisation actually depends on, because that gap is integration, governance and adoption work, and nobody scoped it.
How we work
Assessment & planning
We audit the pilot and the systems it needs to live inside: data flows, identity, security posture, and the operational reality of who will run it once we’ve gone.
Harden the prototype
Pilot code is rebuilt to production standards: error handling, observability, cost controls, model fallbacks and the tests that let you change it later.
Integrate
APIs, event flows and workflow embedding, so the capability appears inside the tools people already use rather than as another tab they have to remember.
Adoption & handover
Testing with real users, training, runbooks and monitoring, then a handover your team can actually operate.
What integration actually involves
Systems integration
Connecting AI capability to the policy administration, finance, CRM and document systems where your data and your processes already live.
Identity & access
The capability inherits your existing access model, so permissions and audit don’t fork into a second, weaker system nobody reviews.
Model independence
Provider-agnostic by design, with keys managed at organisation level. When pricing or capability shifts, you switch models instead of rebuilding.
Cost & usage control
Token spend, rate limits and per-team budgets made visible before the first invoice surprises somebody.
Monitoring & evaluation
Quality, latency and drift tracked in production, because a model that was right in testing can degrade quietly once real inputs arrive.
Human-in-the-loop
A clear boundary between what AI suggests and what a person approves, with the approval recorded in the audit trail.
We’ve done this on our own products
AI drafting in Pulse and Weave is model-agnostic with organisation-level key management. Document intelligence in Virsaic runs OCR extraction against real customer correspondence at volume. We built the integration, governance and cost-control layers for our own platform first, which is why we’re specific about what they cost rather than optimistic about it.
Where this leads
AI Strategy
If you’re not yet sure which pilots deserve to be scaled, start with prioritisation rather than integration.
Explore AI Strategy →AI Automation
Where the goal is removing repetitive work rather than adding a capability, automation is usually the shorter path.
Explore AI Automation →Development Services
Integration often surfaces a missing system. The same team designs and builds those too.
Explore Services →Have a pilot that works but hasn’t gone anywhere?
That’s the specific problem this service exists for. Bring it to the first call.
Talk about your pilot
