Choose fewer, more material opportunities.
BCG links stronger outcomes with focused investment, process redesign, enablement and systematic measurement.[Boston Consulting Group, 15 January 2025]
Enterprise AI operating map
Use cases make sense as connected workflows.
A cross-industry view of how AI can support complex operations—from opportunity selection and evidence work to controlled execution, quality and monitoring.
Interactive board · Public evidence · Illustrative workflowsThe operating context
Start from how work happens today.
A useful AI portfolio responds to real constraints: fragmented information, scarce expertise, multi-step decisions, cross-team hand-offs and the need for traceable control.
Connect tasks into an operating outcome.
McKinsey’s 2026 global survey distinguishes individual productivity from enterprise impact and highlights workflow redesign.[McKinsey & Company, 25 August 2026]
Design for the expert inside the process.
Tools create value when role design, training, feedback and accountable decisions change with the workflow.
Govern data, models and actions throughout delivery.
NIST provides cross-sector actions to govern, map, measure and manage generative-AI risk across the lifecycle.[National Institute of Standards and Technology, 26 July 2024; updated 8 April 2026]
Interactive operations map
Choose an operating domain.
Each domain opens one plausible end-to-end workflow and shows how it connects to the wider organisation.
Shared layerEnterprise AI platform
01 · Selected workflow
Strategy & portfolio
How can leaders turn a broad opportunity set into a focused delivery portfolio?
- Primary user
- Product or transformation leader
- Desired outcome
- Clear priorities, accountable decisions and visible value evidence
01Discovery
Capture opportunities
Structure problems, users, baselines and desired outcomes.
02Decision model
Score the evidence
Compare value, readiness, risk, adoption and reuse.
03Product method
Design experiments
Resolve the most important uncertainty first.
04Operational analytics
Track outcomes
Connect delivery, quality, usage and control signals.
05Human control
Leaders decide
Stop, improve or scale with accountable owners.
Public grounding
BCG connects stronger results with a focused portfolio, process redesign, enablement and systematic measurement. Boston Consulting Group, 15 January 2025
Connects to
- Knowledge & evidence
- Operations & cases
- Quality & governance
Human control
AI can structure portfolio evidence; leaders retain investment and risk decisions.
Suggested first move
Create one transparent portfolio view with baselines, owners and decision dates.
The workflows, connections and controls are illustrative design hypotheses. They do not describe any employer's internal architecture or operating procedures.
Portfolio logic
The unit of value is the workflow.
A credible portfolio connects individual use cases to reusable capabilities, control points and measurable operating outcomes.
Choose a material process.
Define the user, baseline, desired outcome and accountable owner.
Expose shared components.
Retrieval, identity, orchestration, evaluation and audit should improve more than one workflow.
Design the control path.
Decide what the system may read, recommend and execute—and where human approval is mandatory.
Prove adoption before scale.
Measure usage, quality, time, exceptions and user confidence before expanding.
Evidence base
The publications behind the board.
Original cross-sector sources used to separate public facts from design hypotheses.
Open the full source libraryMcKinsey & Company25 August 2026
The state of AI in 2026: On the road to ROI
Original sourceBoston Consulting Group15 January 2025
From Potential to Profit: Closing the AI Impact Gap
Original sourceNational Institute of Standards and Technology26 July 2024; updated 8 April 2026
Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Original sourceEuropean CommissionUpdated July 2026