Data & AI Delivery.

Two related disciplines, often run together.

• Implementation. Data governance setup, policies-as-code, governance automation, data product marketplace design. Embedded counsel through the build until the capability is yours.
• Agentic AI. Agent-augmented delivery across the data product lifecycle. Accelerated build, AI-assisted use case discovery, and value-measurement instrumentation designed in from day one.

The middle layer Big Four firms outsource. This is the work that decides whether the strategy survives the handover.

Organisations rolling out data product governance, marketplace, or platform tooling and needing a senior practitioner alongside the platform team. Programmes piloting agentic AI in the data engineering loop and wanting the value-measurement framework set up before the pilot is in production.

Particularly relevant when the team has built the strategy but is not yet seeing it executed, or when AI proof-of-concepts keep stalling at the production line.

Typical engagement: 8 to 16 weeks of part-time embedded counsel with the delivery team. Two or three working sessions a week, lightweight async between. Build artefacts get shipped with your team's names on them, not mine.

For agentic AI specifically, expect a four to six week pilot that ships a working agent capability plus the measurement layer to evaluate it.

• A working data governance practice with policies-as-code and automation embedded
• A data product marketplace launched, populated, and adopted by at least three business domains
• An agentic AI pilot in production with measurable value
• A value-measurement framework that survives past the launch deck
• Internal team leads coached and equipped to run the practice without me
• Documentation, runbooks, and decision logs your team owns