PRODUCTISED SERVICES TWO CONNECTED STREAMS · CLEAR DECISIONS
Start small enough to act. Build strongly enough to last.
Every package begins with a bounded business question and ends with evidence that supports a decision. We make the data trustworthy, improve the work and define exactly what AI can do before implementation spend.
Timing is indicative and confirmed after scope. Security, privacy, ownership and measurable value are included in the delivery design rather than added at the end.
Run the free evidence scan ↘A practical engagement for the data and the work.
Compare the purpose, indicative timing and concrete outputs. The process stream reuses the same Diagnose, Fix and Make It Last hierarchy and makes its data dependencies explicit.
STREAM 01
AI-ready data
Make the exact evidence behind an important decision, process or AI use case trustworthy, controlled and measurable.
Data Quality Quick Scan
A fast, evidence-led view of where unreliable data is costing time, trust and AI value.
SCOPE
Profile a bounded set of priority sources, verify the most material quality patterns and connect each issue to an accountable business outcome.
DELIVERABLES
- Prioritised issue register
- Data-quality scorecard
- Value and risk baseline
- 90-day action plan
DECISION / OUTCOME
A defensible decision about what to fix first and why.
AI Readiness Assessment
A defined AI use case that needs a realistic go, prepare or stop decision.
SCOPE
Assess Outcome, Data, Control and Proof for one priority use case, including the human operating model and minimum evidence needed for a controlled pilot.
DELIVERABLES
- Readiness score and gap map
- AI capability boundary
- Control and measurement plan
- 30–60–90 day roadmap
DECISION / OUTCOME
A practical route from interest in AI to a use case the business can control and measure.
Migration Readiness
ERP, CRM, cloud or core-platform change where data risk must be visible before cutover.
SCOPE
Profile source data, expose mapping and ownership decisions, define reconciliation evidence and separate migrate, archive, remediate and retire scope.
DELIVERABLES
- Source risk profile
- Mapping decision register
- Cleansing priorities
- Reconciliation and cutover plan
DECISION / OUTCOME
Fewer late surprises, lower rework and a controlled path into the target platform.
Governance Starter Kit
Growing organisations that need clear ownership and controls without enterprise bureaucracy.
SCOPE
Define the priority data domain, owners, stewards, decision rights, quality controls, privacy expectations and an operating cadence people can actually sustain.
DELIVERABLES
- Governance operating model
- Owner and steward roles
- Critical-data controls
- Decision and review cadence
DECISION / OUTCOME
Data accountability that works in day-to-day operations rather than only on paper.
Continuous Stewardship
Businesses that need data quality, ownership and AI controls to keep working after the initial project.
SCOPE
Operate the issue queue, monitor agreed measures, prepare owner decisions and maintain the evidence behind priority data and AI capabilities.
DELIVERABLES
- Issue triage and follow-up
- Monthly health pack
- Owner decision log
- Readiness and control monitoring
DECISION / OUTCOME
Sustained improvement without the cost of building a full-time data office immediately.
STREAM 02
AI-enabled processes
Improve one real process, define what AI can practically do and turn the best opportunity into a decision-ready pilot.
AI Process Discovery & Pilot Blueprint
One important business process where manual effort, delay, errors or inconsistent decisions may be improved with AI.
SCOPE
Map the real current process, measure the operating baseline, classify each activity, test data and functional readiness, design the human-controlled future workflow and define one bounded pilot.
DELIVERABLES
- Current and future process maps
- Prioritised AI opportunity and data dependency map
- Functional, control and integration requirements
- Pilot scope, measures and go / prepare / stop recommendation
DECISION / OUTCOME
A decision-ready pilot proposal grounded in the process, the data it depends on and the business result it must prove.
Controlled AI Pilot
An approved pilot blueprint with representative data, a named process owner and clear human decision boundaries.
SCOPE
Configure or build the smallest useful AI capability, connect only the necessary approved data, test edge cases and operate it with accountable human review against the agreed baseline.
DELIVERABLES
- Working bounded pilot
- Test and evaluation evidence
- Human-control and exception workflow
- Scale, adjust or stop recommendation
DECISION / OUTCOME
Proof of whether the proposed AI capability improves the process safely enough to justify further investment.
AI Process Monitoring & Scale
A successful pilot that needs controlled adoption, benefit tracking and ongoing operational ownership.
SCOPE
Monitor process results, AI performance, data quality, overrides and incidents; maintain decision rights and evidence; and extend the capability only when each scale gate is passed.
DELIVERABLES
- Process and AI health scorecard
- Benefit and exception review
- Owner decision and change log
- Controlled scale roadmap
DECISION / OUTCOME
An AI-enabled process that remains useful, accountable and measurable as data, work and tools change.
NOT SURE WHICH STREAM FITS?
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