Five services. One discipline.
Data foundations, modernisation, Microsoft, agentic AI, and the assessment that ties them together. Pick the one that matches your problem — or start with the assessment if you're not sure.
AI Readiness Assessment
A scored, structured diagnostic. Four to six weeks. Most engagements start here because most companies don't actually know where they stand.
What you'd get
- check A scored picture of your Technical Foundation, Governance, and Strategic Readiness.
- check A documented gap map — what's blocking AI in your specific environment.
- check A prioritised roadmap with sequenced workstreams and budgets.
- check A clear answer to "what's the next thing we should do."
Data and platform engineering
We build the data foundation. Databricks. Azure. Lakehouse architectures. Pipelines that run. BI that reflects reality. Legacy data warehouse migrations.
What you'd get
- check A scalable, governed data platform on Databricks or Azure.
- check Modernised pipelines from source to consumption.
- check BI environments that surface real-time numbers.
- check Migration from legacy warehouses, with cutover and rollback plans.
Software engineering and DevOps
Custom applications. Legacy modernisation. CI/CD. Support. AI-augmented development. Working systems, not deliverables on paper.
What you'd get
- check Custom-built applications fit for your business processes.
- check Modernisation of legacy systems with measured, sequenced cutover.
- check CI/CD pipelines that make releases boring.
- check Support engagements that keep the lights on.
Microsoft ecosystem
D365. Power Platform. SharePoint. M365. Azure. Custom .NET. Microsoft-stack delivery from a team that has done it at enterprise scale.
What you'd get
- check Dynamics 365 implementations and customisations.
- check Power Platform automation across business processes.
- check SharePoint and M365 migrations and modernisation.
- check Azure migrations and platform engineering.
Custom MCP and agentic AI
Purpose-built Model Context Protocol servers and AI agents. Cost-aware AI that does the job without burning budget on every call.
What you'd get
- check Custom MCP servers built for your business process.
- check Agentic workflows with senior engineer oversight.
- check Cost-aware design that avoids unnecessary frontier-model calls.
- check Tight feedback loops between agent behaviour and business KPIs.
How an engagement starts.
Most engagements start one of two ways: with an AI Readiness Assessment that maps the whole picture, or with a focused engagement on one of the four service areas where the problem is already clear. Either path leads to working software in production — never to a final report.
Start with the assessment
When you're not sure where the bottleneck is, the assessment gives you a scored map in four to six weeks. Most strategic engagements start here.
Start with a focused engagement
When the bottleneck is obvious — a Databricks migration, a Power Platform build, a custom application — we go straight to scoping.
Start with a discovery call
When you're not sure which of the above fits, a 30-minute conversation is enough to point you in the right direction. No charge. No commitment.
Ready to scope something specific?
Tell us what's blocking you. We'll come back within one business day with the right next step.
Get in touch