Signals
- People are trying AI tools on their own, but nobody owns the effort.
- You have a long list of ideas and no agreed way to rank them.
- Leadership wants to know what is realistic before committing budget.
AI strategy roadmap
A five-stage AI strategy roadmap for organizations that want results, not experiments.
Find where your organization stands today, see which of five value drivers needs attention first, and leave with a sequenced next step you can act on.
Stage 1
Exploring
You are likely here if:
How King David Consulting helps
We narrow the field to one use case that matters, define how success would be measured, and give leadership a plain-language view of what is feasible with your current data and platforms.
Stage 2
Planning
You are likely here if:
Signals
- A sponsor and a target use case exist, but the plan is still a draft.
- Nobody has checked whether the data behind the idea is accessible and trustworthy.
- Security, legal, and IT have not yet weighed in on the approach.
How King David Consulting helps
We turn the chosen use case into a sequenced plan: data and platform readiness checks, architecture options, guardrails, and an honest estimate of effort, so the first build starts on solid ground.
Stage 3
Implementing
You are likely here if:
Signals
- A pilot is being built, and a small group of users is ready to try it.
- Integrations with existing systems are the hard part right now.
- You need reviewers and approval steps designed into the workflow.
How King David Consulting helps
We build or guide the pilot with logging, human review, and a testable success measure, and we modernize the supporting applications and cloud foundation it depends on.
Stage 4
Scaling
You are likely here if:
Signals
- One pilot has shown value and other teams are asking for the same thing.
- Cloud and AI spend is rising faster than anyone can explain.
- Ownership, support, and policy have not caught up with usage.
How King David Consulting helps
We help you repeat what worked: shared patterns, clear ownership, cost visibility, role-based enablement, and a rollout order that adds one use case at a time.
Stage 5
Realizing
You are likely here if:
Signals
- AI is part of how several teams normally work, not a side project.
- You track outcomes against targets and review them on a regular rhythm.
- The question has shifted from whether to use AI to where to extend it next.
How King David Consulting helps
We keep the gains durable: periodic reviews of results and spend, governance that evolves with new capabilities, and a short list of the next opportunities worth funding.
Value drivers
Five drivers behind successful AI adoption
Whatever your stage, progress depends on these five areas moving together.
Business strategy
Tie AI to an outcome the business already cares about, with an owner, a measure, and a reason to fund it.
Technology and data strategy
Make sure the platforms, integrations, and data behind a use case are ready before people depend on its answers.
AI strategy and experience
Design how people and AI share the work, including where a human reviews, approves, or overrides.
Organization and culture
Build the skills, roles, and habits that let teams use AI with confidence rather than avoid it.
AI governance and security
Set the access rules, review steps, and monitoring that keep AI use safe, accountable, and auditable.
Self-check
Where are you today?
Select every statement that sounds like your organization. The suggestion updates as you go and nothing leaves your browser.
Suggested current stage
Exploring
Tick the statements that sound like your organization. Until then, Exploring is the natural place to begin.
Next step: We narrow the field to one use case that matters, define how success would be measured, and give leadership a plain-language view of what is feasible with your current data and platforms.
After that, the focus moves toward Planning.
Book a strategy callFrequently asked questions
What is the AI strategy roadmap?
It is for leaders who want a sequenced plan rather than disconnected AI experiments. We use it to place an organization on five readiness stages, Exploring, Planning, Implementing, Scaling, and Realizing, across five value drivers. Engagements follow that sequence, and you can start with the self-check or book a strategy call.
Where does the framework come from?
The stage and driver names follow the AI Strategy Roadmap published by Microsoft, which we cite on this page, and are meant for organizations that want a shared vocabulary. Our engagements apply it in our own words, and a call can show how it fits you.
How does the stage self-check work?
It is for any team or leader: tick the statements that sound like your organization, and the page suggests the stage that fits best and a next step. It runs in your browser and sends nothing anywhere, and a strategy call can confirm the result.
What happens after I know my stage?
Organizations at any stage agree with us on one measurable use case and the readiness gaps in its way. The engagement then covers the plan, the pilot or build, and the guardrails. To get started, book a strategy call.
Source and attribution
The five readiness stages and five value drivers follow the framework in The AI Strategy Roadmap: How organizations are achieving Frontier Transformation, published by Microsoft. All explanations on this page are written in our own words and describe how King David Consulting applies the framework.
Next step
Talk through your stage
Bring your self-check result to a short call and leave with a clear next step for your organization.