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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%
transformation OKRs · cascade complete
skills gaps identified before deployment · not after
ai.assess() → phase 3 readiness: 71%
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.

Current state · readiness baseline · target identification.
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.

org.diff(current, proposed) · full cascade visible.
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.

Phased implementation · continuous re-assessment.
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.

One method · every transformation type.
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