AI-Enabled
Data
Migration
Unblocking a stalled enterprise migration with AI-assisted code refactoring — delivering 2× run rate and 400+ data products migrated ahead of schedule.
Increase in migration run rate achieved.
Previously blocked work became feasible within the first two weeks.
Data products delivered ahead of schedule.
A stalled migration — too complex to refactor at pace.
An enterprise energy organisation was mid-migration when progress stalled. Legacy code was too complex to refactor manually at the pace required. Delivery had slowed significantly — and in parts had become infeasible, with no clear path to recovery.
Complex legacy code — manual refactoring was slow, error-prone, and blocking migration progress.
Stalled delivery — migration run rate had dropped to a level that made timelines unachievable.
Infeasible workstreams — parts of the migration were deemed too difficult to complete at all.
Hidden bottleneck — refactoring as the root cause had not been identified or addressed by the team.
AI-assisted refactoring — from diagnosis to delivery.
The engagement moved fast: diagnose the real bottleneck, introduce the right AI tooling, train the team, and remove the blockers — all within weeks, not months.
Root cause diagnosis
Identified refactoring as the core migration bottleneck — a blocker that had not been surfaced or resolved by the existing team.
AI-assisted refactoring
Introduced AI-assisted code refactoring from scratch — building bespoke templates and prompts tailored to the migration context.
Team training and process change
Trained delivery teams to use AI tooling safely and effectively, adapting existing processes to embed the new approach.
Bottleneck removal
Systematically unblocked key migration workstreams, restoring delivery momentum and making previously infeasible work achievable.
Blocked migration unblocked — faster, further, ahead of schedule.
Migration run rate doubled through AI-assisted refactoring.
Data products delivered ahead of schedule.
Previously blocked work became feasible within the first two weeks of engagement.
Workstreams previously deemed undeliverable were completed ahead of schedule.
AI applied where it matters — to unlock delivery, not just explore possibilities.
This engagement shows what applied AI looks like in practice: identifying where the real problem sits, introducing the right tooling with purpose, upskilling the team to use it safely, and delivering measurable acceleration within weeks. AI was not a strategy here — it was a delivery mechanism.
Three ways to engage
For leaders who need a clear, defensible view of where the organisation stands — and what to do next.
- Readiness scorecard
- AI inventory
- Root causes and 90-day plan
- Executive defensibility pack
For organisations that know the gaps and need senior-led delivery to close them — without a large consulting team.
- Close capability gaps
- Deliver measured outcomes
- Embed operating rhythm
- Executive progress narrative
For executive teams that need named senior ownership of the Data & AI agenda without hiring a permanent CDAO immediately.
- Executive and leadership presence
- Strategy and value ownership
- Delivery and governance oversight
- Succession planning
Need to turn Data & AI ambition into measurable progress?
Book a 45-minute strategy conversation to discuss your Data & AI readiness, transformation priorities, or leadership gap.
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