Enterprise AI. Measurable Value. Strategic Scale.
AI Adoption Department
Accelerate safe, measurable, enterprise-wide AI adoption across DEWA — improving efficiency, reducing cost, enhancing processes, strengthening governance, and enabling sustainable business value.
Department Mandate
Mandate
The AI Adoption Department is the central function responsible for orchestrating AI adoption strategy, capability building, partner engagement, performance visibility, and governance alignment across all DEWA divisions.
Strategic Context
As DEWA advances its digital transformation agenda, the AI Adoption Department serves as the operational backbone that converts AI capability into measurable enterprise outcomes — connecting technology, people, and strategy into a unified adoption engine.
AlHasbah Direction
The department directly supports DEWA's AlHasbah cost reduction direction by identifying and scaling AI use cases that reduce operational cost, eliminate process waste, and improve productivity across business functions.
Value Pillars
Cost Reduction
Identify, accelerate, and scale AI use cases that reduce operational expenditure and process inefficiency across DEWA.
Productivity & Efficiency
Enable employees to work faster, smarter, and more effectively through targeted AI adoption and capability building.
Enterprise AI Enablement
Build the governance frameworks, partnerships, infrastructure, and skills that allow DEWA to scale AI safely and sustainably.
Enterprise Adoption Rate
0%
+12% vs last quarter
Active AI Users
0
+480 this month
Estimated Hours Saved
0hrs
This quarter
Active Use Cases
0
14 scaled enterprise-wide
AI Champions
0
Across 12 divisions
Training Programs
0
1,200+ enrolled
Department Structure
Three Sections. One Unified Department.
AI Adoption Office
Strategy. Governance. Alignment.
The AI Adoption Office owns the department's strategic direction, governance coordination, adoption reporting, and cross-divisional engagement. It is the function that ensures AI adoption across DEWA is structured, measured, and aligned to enterprise priorities.
- Provides strategic direction to AI Acceleration
- Sets reporting requirements for AI Command Center
- Coordinates governance decisions that affect all three sections
AI Acceleration
Capability. Campaigns. Scale.
AI Acceleration is the engine room of AI adoption. It executes the programs, activations, and engagements that move AI from isolated use to enterprise-scale adoption. It builds capability, expands access, and ensures every division has the support to adopt AI effectively.
- Reports outcomes and adoption data to AI Command Center
- Escalates governance questions to AI Adoption Office
- Coordinates event visibility and reporting with Command Center
AI Command Center
Visibility. Insights. Impact.
The AI Command Center is the intelligence layer of the department. It translates AI adoption activity into dashboards, reports, and strategic insights that give leadership a clear, always-current view of how AI is performing across DEWA.
- Consumes adoption data from AI Acceleration activities
- Produces reports aligned to AI Adoption Office governance requirements
- Provides visibility layer that serves all three sections and leadership
Section Responsibilities
Who Owns What
Responsibilities
- Define and maintain the AI Adoption operating model
- Align department priorities with DEWA strategic objectives and AlHasbah direction
- Coordinate governance and oversight mechanisms across AI adoption activities
- Manage adoption reporting cadence and performance visibility
- Orchestrate the AI Champions and AI Ambassadors network across divisions
- Engage divisional leadership and key stakeholders
- Oversee KPI tracking and business value communication
- Manage cross-divisional alignment and dependency resolution
Core Activities
- Monthly performance reviews and reporting
- Quarterly operating model review
- AI Champions network management and activation
- Stakeholder briefings and leadership engagement
- Governance forum coordination
- Adoption strategy updates
Key Deliverables
- AI Adoption Operating Model (living document)
- Monthly Adoption Performance Report
- Governance and Oversight Framework
- AI Champions Program Framework
- Stakeholder Engagement Calendar
- Cross-divisional Alignment Register
Stakeholders
KPI Framework
Performance Visibility
Enterprise Adoption Rate
Target: 80 %
85% of target
Percentage of eligible employees actively using at least one AI tool
Active AI Users
Target: 4,000 users
81% of target
Unique employees with at least one AI tool session in the past 30 days
Estimated Hours Saved
Target: 24,000 hrs/quarter
78% of target
Productivity value generated through AI tool usage, annualised
Active Use Cases
Target: 60 use cases
70% of target
AI use cases currently in active deployment or pilot across DEWA
Active AI Champions
Target: 120 champions
72% of target
Certified AI Champions actively engaged in divisional adoption activities
Divisional Coverage
Target: 100 %
75% of target
Percentage of DEWA divisions with active AI adoption engagement
Employees Trained
Target: 2,000 employees
62% of target
Cumulative unique employees who have completed at least one AI training module
Campaigns Executed
Target: 16 campaigns
69% of target
Number of AI awareness and activation campaigns completed this year
Dashboard Data Accuracy
Target: 99 %
97% of target
Percentage of KPI data points validated and current within reporting window
Reporting Cadence Adherence
Target: 100 %
100% of target
Percentage of scheduled executive reports delivered on time
Governance Action Closure Rate
Target: 95 %
93% of target
Percentage of open governance actions closed within agreed timelines
Governance Framework
How AI Adoption is Controlled and Overseen
Governing Principles
Strategic Alignment
All AI adoption activities must align with DEWA strategic objectives, AlHasbah priorities, and approved operating model.
Safe and Controlled Adoption
AI tools and use cases are introduced through a structured review and approval pathway before enterprise-wide rollout.
Measurable Value
Every AI initiative must have defined KPIs and a value tracking mechanism before it progresses to scale.
Clear Accountability
Every AI adoption activity has a named owner, a defined scope, and an escalation path.
Transparency and Reporting
Adoption performance, risks, and governance actions are reported to leadership on a regular, structured cadence.
Controlled Scaling
Scaling of AI use cases follows a defined maturity model with governance checkpoints at each stage.
Decision Layers
Executive Leadership
QuarterlyProvides strategic direction, approves major AI investments, and reviews quarterly adoption performance.
Participants
Scope
Strategic direction, major investments, enterprise policy
Department Head
MonthlyOwns the operating model, approves programs and partnerships, and signs off on governance frameworks.
Participants
Scope
Operating model, program approvals, cross-section coordination
AI Governance Forum
Bi-weeklyReviews use case approvals, monitors compliance, and manages risk and control actions.
Participants
Scope
Use case approvals, risk actions, compliance monitoring
Operational Review
WeeklySection leads review weekly performance, resolve operational blockers, and manage day-to-day coordination.
Participants
Scope
Performance tracking, blockers, coordination
Governance Controls
Area
Control
Owner
Cadence
Status
AI Tool Onboarding
All new AI tools must pass a security, compliance, and data governance review before enterprise access is granted.
AI Adoption Office + IT Governance
Per request
ActiveData Usage
AI use cases involving sensitive or personal data require a Data Impact Assessment and CISO sign-off.
IT Governance + Legal
Per use case
ActiveVendor Risk
Strategic AI partners undergo quarterly risk review covering data handling, SLA compliance, and roadmap alignment.
AI Acceleration + Procurement
Quarterly
ActiveReporting Integrity
All adoption KPIs are validated by AI Command Center before executive reporting.
AI Command Center
Monthly
ActiveAI Ethics
Use cases with potential workforce or operational impact require an ethics and change management review.
AI Adoption Office + HR
Per use case
In ProgressOperating Model
How the Department Works End-to-End
Demand & Opportunity Intake
AI opportunities, use case ideas, and adoption requests are captured from divisions, partners, and internal initiatives.
Outputs
- Use case backlog
- Opportunity register
- Division request log
Assessment & Prioritisation
Opportunities are assessed for strategic fit, feasibility, risk profile, and expected business value.
Outputs
- Prioritised use case list
- Risk assessment notes
- Value estimation
Strategic Alignment
Selected use cases and programs are aligned to DEWA priorities, governance frameworks, and AlHasbah objectives.
Outputs
- Alignment approval
- Governance sign-off
- Stakeholder briefing
Adoption Enablement
Training programs, awareness campaigns, and tool access are deployed to targeted divisions and user groups.
Outputs
- Training completions
- Campaign reach
- Access grants
- Activation events
Use Case Acceleration
High-value use cases are accelerated with dedicated support, partner engagement, and cross-divisional coordination.
Outputs
- Scaled use cases
- Partner activations
- Business unit outcomes
Adoption Monitoring
Usage data, adoption signals, and performance indicators are collected and validated in real time.
Outputs
- Usage dashboards
- Anomaly alerts
- Trend reports
KPI Tracking & Value Measurement
KPIs are tracked against targets. Business value — hours saved, cost reduction, productivity uplift — is quantified.
Outputs
- KPI scorecards
- Value realisation tracker
- ROI estimates
Executive Reporting
Strategic insights and performance data are packaged into executive-ready reports and command center displays.
Outputs
- Executive dashboard
- Leadership briefing packs
- Command center displays
Continuous Improvement
Insights feed back into strategy, operating model updates, and the next intake cycle.
Outputs
- Operating model updates
- Strategy adjustments
- Next cycle priorities
Strategic Roadmap
Now, Next, and Future
Governance Framework v1 Activation
Activate the formal AI Adoption governance model including review forums, approval pathways, and reporting cadences.
Adoption Office
Executive AI Dashboard — Phase 1
Launch the first version of the AI Adoption executive dashboard covering top KPIs, adoption trends, and use case pipeline.
Command Center
AI Champions Network Expansion
Grow the AI Champions network to 120 active champions across all 12 DEWA divisions.
Adoption Office
AI Academy — Cohort 2 Launch
Launch the second AI Academy cohort targeting 400 additional employees across Engineering and Operations.
AI Acceleration
Adoption Analytics — Advanced Insights
Build advanced analytics layer with cohort analysis, drop-off detection, and division-level benchmarking.
Command Center
Business Value Tracking Model
Deploy a structured methodology for quantifying and reporting AI-driven cost savings, productivity gains, and process improvements.
Adoption Office
Strategic AI Partner Ecosystem Expansion
Formalise partnerships with 3 additional strategic AI technology providers to expand enterprise tool access.
AI Acceleration
Physical Command Center Design
Design and plan the physical AI Command Center space for leadership briefings, showcase events, and live adoption monitoring.
Command Center
Physical AI Command Center Launch
Open the permanent physical AI Command Center as an executive showcase and live operations hub.
Command Center
AI Governance Maturity Level 3
Advance governance maturity to include automated compliance monitoring, AI ethics review boards, and enterprise AI policy.
Adoption Office
AI Centre of Excellence
Evolve the AI Academy into a permanent Centre of Excellence providing continuous learning, certifications, and advanced tracks.
AI Acceleration
Enterprise AI Adoption Index
Publish an annual DEWA AI Adoption Index benchmarking enterprise adoption against regional and global energy sector peers.
Command Center
Risk Register
Risks and Mitigations
Low Divisional Adoption Velocity
Some divisions may resist or deprioritise AI adoption due to workload pressures, unclear mandates, or limited local champions.
Owner: AI Adoption Office
Governance Action Backlog
Governance review forums may accumulate unresolved actions if participation is inconsistent or capacity is constrained.
Owner: AI Adoption Office
Adoption Data Quality Gaps
Inconsistent or incomplete usage data from AI tools may reduce confidence in KPI reporting and executive dashboards.
Owner: AI Command Center
Employee Resistance to AI Adoption
Employees may be concerned about AI replacing roles, creating hesitance to engage with tools or programs.
Owner: AI Acceleration
AI Tool Security or Compliance Issue
A deployed AI tool may have a security vulnerability, data handling issue, or compliance breach that requires rapid containment.
Owner: AI Adoption Office + IT Governance
Cross-Divisional Alignment Delays
Slow response from divisional stakeholders may delay use case approvals, training deployment, or governance actions.
Owner: AI Adoption Office
Strategic Impact
Why This Department Matters to DEWA
Cost Reduction
Identify, accelerate, and scale AI use cases that reduce operational expenditure and process inefficiency across DEWA.
Productivity & Efficiency
Enable employees to work faster, smarter, and more effectively through targeted AI adoption and capability building.
Enterprise AI Enablement
Build the governance frameworks, partnerships, infrastructure, and skills that allow DEWA to scale AI safely and sustainably.
68%
Enterprise Adoption Rate
+12% vs last quarter
18,600hrs
Estimated Hours Saved
This quarter
Section Contributions to DEWA Mission
AI Adoption Office
Serve as the strategic backbone of the department — ensuring the operating model is coherent, governance is active, stakeholders are aligned, and performance is visible.
AI Acceleration
Drive the active spread of AI across DEWA — through enablement programs, strategic partnerships, use case acceleration, and enterprise-wide awareness campaigns.
AI Command Center
Provide real-time centralized visibility of AI adoption, performance, and business impact — enabling leadership to make data-driven decisions and track the value of enterprise AI.
AlHasbah Direction
The department directly supports DEWA's AlHasbah cost reduction direction by identifying and scaling AI use cases that reduce operational cost, eliminate process waste, and improve productivity across business functions.