AI integration services.
Add AI to the systems you already run.
AI connected into your CRM, ERP, support desk and apps, without a rebuild.
The problems we solve first.
Data silos
The useful data sits in five different systems.
Security
Sensitive data cannot leak to public models.
Adoption
AI tools outside the workflow do not get used.
What you get.
Every engagement includes design, engineering, evaluation, security review and handover from one senior team.
System audit
Where AI saves the most time, ranked.
Connectors
CRM, ERP, helpdesk and database integrations.
Private deployment
Azure OpenAI, Bedrock or self-hosted models.
Access controls
Users see only what they are allowed to.
Workflow embedding
AI inside the screens teams already use.
Monitoring
Usage, quality and cost per team.
AI integration, by industry.
How we ship AI that holds up.
Evaluation comes before scale. You see it working on your data before you commit to the full build.
Discover
Pick the task, define what “good” means and collect sample data.
Prototype
A working version on your real data, shown to real users.
Evaluate
Automated tests for accuracy, latency, cost and safety.
Productionise
Security, scaling, integrations and admin controls.
Monitor
Quality, drift and spend tracked; prompts and models improved.
Three ways to start.
AI sprint
One use case, prototyped on your data and tested with users.
You leave with · Prototype + go/no-goPilot
A production-grade version for one team, with evals and monitoring.
You leave with · Live pilot + ROI dataAI team
A dedicated squad that ships and improves AI across your products.
You leave with · Roadmap deliveredQuestions, answered.
Most clients start with a two-week AI sprint. Pilots and production builds are priced after the sprint, once we know what works on your data.
Ready to try ai integration? Start with a sprint.
Tell us the task. An AI architect replies within one business day with a sprint plan. NDA on request.