Akkodis AI Transformation Framework
Lead with Intelligence. Scale with Confidence.

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30–40%
productivity gains through agentic execution
40–60%
faster time‑to‑insight with unified, AI‑ready data estates
6–12
months time‑to‑value for AI leaders
The Business Challenges we solve
Most organizations struggle to scale AI because:
- Pilots don’t convert into production at scale
- Data remains fragmented across silos
- Employees aren’t yet confident with AI tools
- Governance and compliance feel risky and unclear
- ROI is uncertain or unmeasured
- Cultural resistance slows adoption

Strategy & Value Activation
Turn ambition into outcomes. We establish a business‑first AI strategy, prioritize use cases, quantify ROI, and redesign processes for automation and agentic execution.
- AI strategy & roadmap development
- Use‑case identification & prioritization
- ROI modeling & business case development
- Value tracking & reporting frameworks
- Process re‑engineering for AI / agentic automation
- Cross‑functional collaboration models
- Operational excellence programs

Data, Technology & Architecture
Build an AI‑ready foundation that is secure, scalable, and real‑time.
- Sovereign & hybrid cloud data platform (Data@Scale Platform)
- Enterprise data fabric & data mesh
- Master data management & data quality
- Real‑time & streaming data pipelines
- Data security, privacy & governance
- Legacy data modernization
- Data estate/database administration

People, Skills & Enablement
Scale AI by upskilling your workforce at every level—executives to engineers.
- AI Academy (co‑developed with Microsoft), 50,000+ learners trained across 14 countries
- AI bootcamps (up to 1,000 participants)
- AI for leaders & boards
- Business enablement for non‑technical roles
- AI & ML developer certification paths
- Microsoft Copilot masterclasses
- Continuous learning & tech talks

Change, Culture & Adoption
Make adoption sticks by aligning ways of working, building champions, and reducing resistance.
- Cultural transformation strategy
- Ways‑of‑work transition
- Resistance management
- Communications & stakeholder engagement
- CoE design & champions networks
- Recognition & reinforcement programs
- Business values alignment
- (Most transformation failures are cultural, not technical—our approach tackles that risk directly.)

Governance, Ethics & Risk
Move fast—without breaking trust. We embed Responsible AI, compliance, and control into every stage.
- Responsible AI framework design & implementation
- EU AI Act readiness & compliance
- AI risk management (AI‑TRiSM)
- Automated governance & compliance gates
- AI steering committee & council design
- AI policy development
- Privacy, security & trust architecture
- AI audit & continuous monitoring; operational/technical oversight

How We Work with You
A repeatable, value‑first engagement model that maintains a seamless delivery rhythm where strategy, execution, and adoption stay tightly connected.
Discover
Align on business goals, constraints, and success metrics
Diagnose
Assess readiness across data, tech, people, culture, and governance
Design
Build your prioritized AI roadmap and value model
Deliver
Implement AI solutions and platforms with governance‑by‑design
Adopt
Enable your teams; measure and reinforce behavior change
Scale
Expand the portfolio; automate value tracking and continuous improvement

Outcomes You Can Expect
- Unified data estates, enabling 40–60% faster time‑to‑insight and AI‑ready decisioning
- Forecasting accuracy above 90%, with reporting cycles reduced by 30–40%
- 30–40% productivity gains achieved through intelligent automation and agentic workflows
- 6–12-month time‑to‑value, organization‑wide AI literacy, and significantly reduced Shadow AI risk

Selected Client Success Highlights
- Modernized data infrastructure across business units, delivering an AI‑ready foundation and measurable improvements in time‑to‑insight
- AI‑enhanced planning and reporting, achieving 90%+ forecasting accuracy and 30–40% shorter cycles
- Agentic automation of routine processes, resulting in 30–40% productivity gains and accelerated execution
