CxO™ DELIVERABLE
AI Strategy & Roadmap
An AI strategy roadmap is a plan that ties AI to your business goals: which use cases to pursue, in what order, with what budget, owners and success measures. DAG Tech's fractional chief AI officer builds it with your leadership so the first AI investments make work faster and decisions better.
Custom proposal · Last updated October 2026
The Short Answer
What Is an AI Strategy Roadmap?
An AI strategy roadmap is a ranked, phased plan that shows which AI use cases your organization will pursue, why, in what order, and how success will be measured. Without a roadmap, AI spreads one tool and one department at a time. Each team buys its own assistant, pilots never connect, and leadership cannot say what the money produced. A roadmap fixes that by starting from goals, not tools. It asks where time, cost or errors hurt most, scores every candidate use case on the same fields, and sequences the work so early wins fund and inform later ones. It also covers the decisions that sit around AI: workforce changes and reskilling, how pricing changes if your staff get faster, and what new security risks such as prompt injection need to be handled.
In a CxO engagement the roadmap usually follows the AI readiness assessment, so it is built on scored facts, not guesses. Your fractional chief AI officer publishes the scoring method so leaders can challenge the weightings, and presents the roadmap as a menu: fund, defer or decline each initiative. For each approved item the CAIO recommends who should deliver it: your team, another provider, or DAG Tech when we are the best fit.
At a glance
SPEC SHEET- DELIVERABLE TYPE
- Strategy document and phased roadmap
- ALSO KNOWN AS
- AI strategy, AI roadmap, AI adoption plan
- PRACTICE AREA
- Artificial Intelligence (CxO)
- BEST FOR
- Leadership teams deciding where AI should go first
- WHAT WE NEED
- Business goals, leader time, readiness findings if available
- NEXT STEP
- AI implementation planning for approved use cases
Scope
What We Cover
The roadmap answers what to do with AI, in what order, and how you will know it worked.
Business goals
The outcomes leadership wants from AI, stated in your terms: margin, speed, capacity, quality or customer experience.
Use case discovery
Candidate use cases gathered from every department, focused on costly manual work, bottlenecks and slow decisions.
Scoring and ranking
Each use case scored on value, feasibility, data readiness, risk and cost using one published method.
Build, buy or use what you own
Whether each need is met by AI features you already license, a new product, or a custom build.
Phasing and quick wins
A sequence of near-term wins and longer-term initiatives, with dependencies such as data cleanup made explicit.
People and operating model
Who owns AI decisions, which roles change, where reskilling is needed, and how pricing or service models may shift.
Risk and governance needs
The policy, security and compliance work each initiative requires before it can launch.
Measures of success
Baselines and target metrics for each initiative so ROI can be proven later.
The Deliverable
What You Receive
- A written AI strategy tied to your business goals
- A scored and ranked use case portfolio with the scoring method shown
- A phased roadmap with quick wins, dependencies and owners
- Budget ranges in hours and licensing for each initiative
- Success measures and baselines to capture for each use case
- A decision page to fund, defer or decline each initiative
How It Works
How It Runs
- STEP 01
Kickoff
We confirm goals, scope and the leaders who will shape and approve the roadmap.
- STEP 02
Discover
We run workshops with department heads to gather and refine candidate use cases.
- STEP 03
Score and sequence
We score every use case on the same fields and build the phased plan.
- STEP 04
Readout
We walk leadership through the roadmap and record a fund, defer or decline decision for each item.
When to Start
Signs You Need an AI Strategy Roadmap
- Every department has AI ideas and no one decides between them.
- We buy AI tools one at a time with no plan behind them.
- The board or owners have asked for our AI strategy.
- Our pilots do not connect to any larger goal.
- We do not know whether to build, buy or use what we already license.
- Competitors are moving and we are not sure where to respond.
Compare
AI Strategy Roadmap vs. Digital Transformation Plan
| AI Strategy Roadmap | Digital Transformation Plan | |
|---|---|---|
| Question it answers | Where should AI change how we work, and in what order? | How should our business processes and systems change overall? |
| Output | Ranked AI use cases, phased roadmap, success measures | Process and platform modernization plan across the business |
| When | Before funding AI tools or builds beyond a few pilots | When core systems or operating models need to change |
| Led by | Fractional chief AI officer | DAG Tech digital transformation team |
Related
Often Paired With
FAQ
AI Strategy & Roadmap Questions
What is included in an AI strategy roadmap?
Your AI goals, a scored list of use cases, a phased plan with quick wins and dependencies, owners, budget ranges, success measures, and the governance work each initiative needs. It ends with a decision page so leadership can fund, defer or decline each item.
Do we need a readiness assessment first?
It helps. The assessment gives scored facts about your data, platforms and skills, which makes the roadmap more accurate. If you already know those facts well, we can build the roadmap directly and note assumptions.
How is this different from your AI strategy blog guide?
The guide explains how to build an AI strategy yourself. This deliverable is the finished plan, built with your leaders by a fractional chief AI officer, with scoring, budgets and owners specific to your organization.
How much does an AI strategy roadmap cost?
It is scoped in hours at the CxO rate, and your proposal shows the total before any work starts. Scope depends on the number of departments and use cases. Every proposal is custom-scoped.
How often should the roadmap be updated?
AI tools and prices change fast, so review the roadmap at least every quarter and rebuild it yearly. Your fractional CAIO can run those reviews on Clarity IT reserved hours.
Will the roadmap favor particular vendors?
No. The roadmap is vendor-neutral. It names platforms such as Microsoft 365 Copilot, Google Gemini or AWS and Azure AI services only where they fit, and recommends who should deliver each item: your team, another provider, or DAG Tech when we are the best fit.
Get Started
Request an AI strategy roadmap
Tell us what you need. We scope the hours and send a CxO proposal.
Sent with your request: CxO: AI: AI Strategy & Roadmap
- 01A scoping call with a fractional executive
- 02Every task, deliverable, hour and cost in one proposal
- 03A roadmap with start date
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About DAG Tech AI Strategy & Roadmap
An AI strategy roadmap is a plan that ties AI to your business goals: which use cases to pursue, in what order, with what budget, owners and success measures. DAG Tech’s fractional chief AI officer builds it with your leadership so the first AI investments make work faster and decisions better.
An AI strategy roadmap is a ranked, phased plan that shows which AI use cases your organization will pursue, why, in what order, and how success will be measured. Without a roadmap, AI spreads one tool and one department at a time. Each team buys its own assistant, pilots never connect, and leadership cannot say what the money produced. A roadmap fixes that by starting from goals, not tools. It asks where time, cost or errors hurt most, scores every candidate use case on the same fields, and sequences the work so early wins fund and inform later ones. It also covers the decisions that sit around AI: workforce changes and reskilling, how pricing changes if your staff get faster, and what new security risks such as prompt injection need to be handled.