Your Data Is Ready. Now Use It.
Once the foundation is in place, AI is the next logical step. We deliver governed rollouts, automated workflows, and production software built on Claude.
AI Only Works When the Data Does
The organisations that get real value from AI already have clean pipelines, a governed warehouse, and clear ownership. That is the work we do first.
Without the foundation
- Garbage in, garbage out. AI amplifies bad data, it does not fix it.
- No audit trail means no defensible output in a regulated environment.
- "We tried AI" becomes a failed pilot nobody mentions again.
With the foundation
- Reliable pipelines feed AI with data your team already trusts.
- A governed warehouse means access controls carry straight through to every AI tool.
- Your team owns the system. AI becomes a capability, not another dependency.
Not there yet? The data foundation is where we start. See Data Services
Three Ways We Deliver AI
Setting up Claude for your team, automating workflows, or building production software with AI at its core.
2 weeks
AI Rollout Sprint
We set up Claude for Teams or Enterprise properly: governed, configured for your workflows, and with a team that actually knows how to use it.
Environment & Access
- Claude for Teams or Enterprise setup
- Role-based access and SSO configuration
- Usage policies and audit logging
- Compliance documentation
Custom Configuration
- System prompts tailored to your use cases
- Slash commands and skill libraries
- Projects structure for team knowledge
- Operator-level controls and guardrails
Onboarding & Handover
- Team onboarding sessions
- Usage guides and quick-reference docs
- Rollout playbook your team can extend
2–4 weeks
Workflow Automation Build
We design and build n8n workflows that connect your existing tools and cut the manual work between systems. Monitored, documented, yours to run.
Discovery & Design
- Process mapping and trigger identification
- Tool and API integration scoping
- Error handling and fallback logic
Build & Integration
- n8n workflow development
- API connectors, webhooks, and data transforms
- Monitoring, alerting, and run history
Documentation & Handover
- Workflow documentation and annotations
- Recovery playbooks for common failures
- Handover session with your team
4–6 weeks
Custom AI Solution
We build production software with AI designed into it from the start. Internal tools, game logic, client-facing products. Shipped, documented, and yours.
Solution Design
- Problem scoping and architecture
- AI logic design and validation with Claude
- Technology selection and integration plan
Build & Deployment
- Full-stack application development
- AI feature integration and testing
- Production deployment and infrastructure
Handover & Support
- Codebase documentation and architecture notes
- Team walkthrough and knowledge transfer
- Post-launch support window
Work We Have Shipped
Two examples from our own stack, built the same way we build for clients.
CannaBlitz
A real-time multiplayer card game with three-difficulty AI opponents. We used Claude to design the player decision logic, difficulty scaling, and behaviour rules, then implemented it client-side with no live LLM calls. Zero latency, zero API cost.
- Claude used to design and validate AI decision logic across three difficulty levels.
- Client-side implementation with no runtime LLM dependency.
- Real-time multiplayer with simultaneous interrupt mechanics.
idFALCON.tech
Our own site built the way we build for clients: clean intake, signed pipelines, and automation-ready n8n workflows handling contact, newsletter, and lead scoring. Not a demo. Running right now.
- Signed webhooks with timestamp checks. No unauthenticated intake.
- Idempotency keys and request tracing on every submission.
- n8n workflows for contact intake, newsletter, and lead routing.
Not Sure If Your Data Is Ready?
Book a free 30-minute call. We will tell you honestly whether you need the data foundation first, or whether you can move straight to AI.