06 · Data & enablement
The foundations every other service depends on
AI fails on bad data and unprepared people far more often than on models. We usually bundle this work into larger programmes, but it is available on its own when the gap is clear.
- Typical scope
- Bundled into programmes, or 4 to 12 weeks standalone
- Best for
- Organisations whose data, skills or workflows are holding AI back
- Output
- Working pipelines, trained teams, adoption plans, dashboards
Talk about foundations
Data readiness & modernisation
Pipelines, quality rules, lineage and access controls: the unglamorous prerequisite for any AI that works in production.
- Data audit and quality baseline
- Lakehouse, warehouse and vector-store setup
- Access, retention and residency controls
AI literacy & upskilling
Role-based programmes for staff, engineers and leaders, from prompt fluency to building and operating agents, delivered on your real work.
- Executive briefings and leadership workshops
- Hands-on developer bootcamps
- Embedded coaching on live projects
Change management
Adoption plans, redesigned roles and workflows, and the communication that makes new tools stick rather than gather dust.
- Stakeholder mapping and adoption metrics
- Role and process redesign
- Champion networks and feedback loops
Analytics & insights
Classic BI and reporting with an AI layer: natural-language querying, anomaly detection and forecasting on the dashboards leaders already use.
- Power BI, Looker and Tableau delivery
- Conversational analytics over governed data
- Forecasting and anomaly alerts