01 · Solutions
AI Transformation Strategy & Readiness
See the current state clearly before committing budget.
Key answer
A structured assessment of data, process, systems and risk that produces a board-ready AI roadmap with clear sequencing.
When AI pilots stall, the blocker is rarely the model — it is process ownership, data readiness and integration. In two to four weeks we assess readiness, name the three use cases worth doing first, and specify the data, system changes and internal owners each one needs.
Outcomes
- A prioritized AI use-case portfolio with target operating metrics
- Data and systems readiness scoring with a gap register
- Draft governance and risk framework covering personal data and audit
- A 12-month investment and resourcing plan
What we deliver
- Executive workshop (half-day to full-day)
- Current-state process maps and systems topology
- Use-case scoring model (value × feasibility × risk)
- Transformation roadmap with milestones
Who it is for
- Enterprises with scattered departmental AI experiments
- Leadership teams preparing a board proposal
- Companies weighing a CRM or ERP replacement
Typical timeline
2–4 weeks
How it works: the five S.M.A.R.K. stages
- S
Scan
Assess data, processes, systems and risk to establish an objective baseline.
Current-state report and readiness scoring
- M
Map
Prioritize use cases and tie each one to a measurable operating outcome.
Prioritized transformation roadmap
- A
Activate
Validate with a contained pilot, then implement once it holds up.
A validated working solution
- R
Reconnect
Integrate CRM, ERP, commerce and internal workflows so AI lands in daily operations.
Integrated operating processes
- K
Keep improving
Track adoption and outcomes, establish a governance cadence, and scale the capability.
A continuous improvement mechanism and quarterly review
Frequently asked questions
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