Solution · AI Transformation
Model the org change before you execute the tech rollout.
05 / 14 / 26
AI transformation · organisational change
AI transformation is an organisational challenge.
AI doesn't just change technology — it reshapes roles, skills, teams, processes, and governance. 70% of AI transformations fail to achieve their objectives because the people side is an afterthought. OrgEdge gives you a structured methodology: Investigate → Plan → Execute.
// ai transformation · finance-ops
● in progress
Finance Operations · AI Rollout
phase 2 of 3 · 47 positions affected · 8 new roles
READINESSmaturity 2.4 → target 3.667%
PROCESSautomation 12% → target 58%21%
SKILLS25 reskilling · 8 new roles52%
GOVERNANCE3 AI ethics frameworks33%
What you see
The full organisational impact of AI adoption — modelled before deployment, tracked through execution.
70%
The AI transformation failure rate
of AI transformations fail to achieve their objectives. The technology works; the organisational change that must accompany it doesn't happen. Roles, skills, governance, and processes are the afterthought that kills the programme.
Source — McKinsey Global Survey on AI
Three phases. One structured methodology.
§ Investigate → Plan → Execute
I.
Investigate — map what you have.
Before planning any transformation, build a digital twin of your current state: functions, teams, positions, processes, skills, and governance. AI-powered maturity assessment scores your organisation against best practices. Your maturity score is your transformation readiness score.
II.
Plan — model the future organisation.
Create the to-be version: restructured teams, modified positions, new AI-specific roles, updated automation levels. Side-by-side comparison shows exactly what's added, changed, and removed. Identify skills gaps before deployment — not after. Build the business case from connected evidence.
III.
Execute — track the transformation.
AI-generated implementation plans with phased rollout. Development plans for reskilling. Transformation OKRs cascaded from strategy to team-level key results. Re-run maturity assessments as changes are implemented — identify emerging gaps and course-correct in real time.
IV.
The same methodology for any transformation.
AI adoption is today's most pressing change — but Investigate → Plan → Execute works for any strategic transformation: post-M&A integration, operating model redesign, geographic expansion, regulatory compliance programmes.
What happens next
Model the change before you make it.
Bring your current org structure and your AI rollout plan. We import both, model the to-be state together, and show you the full impact — positions affected, skills gaps, governance updates — before a single role changes.
01
Investigate
Build current-state digital twin. AI scores readiness.
Week 1–2
02
Plan
Model to-be state. Skills gaps, role changes, governance visible.
Week 3–6
03
Execute
Phased rollout. Transformation OKRs. Continuous re-assessment.
Ongoing