Services for Enterprises
Data strategy, architecture, governance, ML, and advisory — scoped for procurement, compliance, and existing platform commitments.
The same five services we offer every client, framed for the constraints of a large organisation: existing platform commitments, security and compliance review, and change that has to be sequenced against budget cycles.
Engagements typically begin with a fixed-scope assessment, which gives both sides an evidence base before committing to a larger statement of work.
Data & AI Strategy
A roadmap connecting your data assets to specific business outcomes, with sequencing and cost attached to each step.
Large organisations rarely lack data initiatives; they lack a defensible order of operations across competing ones. We produce a sequenced plan that survives contact with budget cycles and existing platform commitments.
Typical deliverables
- Current-state assessment and capability gaps
- Prioritised initiative roadmap with effort and dependency mapping
- Business-case model for the top initiatives
Data Architecture & Engineering
Warehouse, pipeline, and platform design — and the implementation work to get it running in production.
We work inside existing platform standards, security review, and change control rather than around them, and design for migration paths that do not require a big-bang cutover.
Typical deliverables
- Target-state architecture and migration path
- Pipeline implementation with tests and monitoring
- Runbook and handover to your team
Data Governance & Quality
Ownership models, quality controls, and metric definitions that make data trustworthy enough to make decisions on.
Aligned to existing risk, privacy, and audit obligations, with a stewardship model that assigns real accountability rather than a RACI chart nobody consults.
Typical deliverables
- Data quality scorecard and monitoring
- Ownership and stewardship model
- Metric definitions and a maintained business glossary
ML & AI Product Development
Machine learning and AI systems taken from prototype to something that runs reliably and can be maintained.
Built for the parts that decide whether a model survives: monitoring, retraining, model documentation, and the evidence trail your risk and compliance functions will ask for.
Typical deliverables
- Feasibility assessment and evaluation framework
- Production model deployment with monitoring
- Model documentation and retraining process
Executive & Team Advisory
Standing advisory support for leaders making data and AI decisions, including hiring, vendor selection, and technical due diligence.
A senior outside perspective for platform decisions, build-versus-buy assessments, and due diligence — independent of any vendor relationship.
Typical deliverables
- Scheduled advisory sessions with written follow-ups
- Vendor and build-versus-buy assessments
- Role definitions and interview support for data hires
Not sure which of these you need? That is usually the first conversation.