01
Leadership alignment
A concise view of the commercial priorities, constraints and non-negotiable boundaries that should guide investment.
AI strategy consulting
AI Strategy Consulting Built Around Business Value
A useful AI strategy is a sequence of operating decisions, not a technology wish list. Strathmark connects commercial goals, workflow reality, data readiness and governance into a roadmap leadership can fund and teams can execute.
When the current setup is holding you back
Start with the commercial constraint, not the channel.
- 01
AI has become a board topic, but the discussion remains vague or tool-led.
- 02
Different teams are pursuing disconnected experiments with no shared priority or owner.
- 03
The company cannot separate a valuable use case from an expensive demonstration.
- 04
Security, intellectual property, adoption and governance questions are delaying action.
What changes
A useful engagement leaves the business stronger.
The work is judged by operating evidence and the quality of the next decision, not the amount of activity produced.
A shared definition of the business outcomes AI should support
A ranked portfolio of use cases scored for value, feasibility, readiness and exposure
A realistic view of data, systems, capability, ownership and governance gaps
A costed roadmap with one recommended first pilot and explicit decision gates
Scope and deliverables
Tangible work, clearly owned.
02
Use-case portfolio
Opportunities compared on value, time-to-evidence, effort, data readiness, review burden and operational risk.
03
Readiness assessment
A practical review of systems, data, knowledge, security, ownership and team adoption requirements.
04
90-day roadmap
A sequenced plan with scope, owners, measures, dependencies, budget considerations and a first pilot recommendation.
Delivery route
Evidence earns the next investment.
Each phase has an owner, output and decision. A stopped project can be the right result when the evidence does not support scale.
- 01
Frame
Agree the decisions the strategy must enable and the business constraints it must respect.
- 02
Discover
Interview leaders and workflow owners, inspect evidence and document what is happening now.
- 03
Prioritise
Score the options and challenge optimistic assumptions before recommending investment.
- 04
Mobilise
Define the first 90 days, the owner, the measures and the conditions for proceeding.
A strong fit
- Leadership needs a company-level AI direction before approving tools or implementation
- There are multiple possible use cases and limited time, budget or change capacity
- The business wants an independent view rather than a platform-led recommendation
Not the right engagement
- A generic workshop with no access to workflow owners or business evidence
- A multi-year forecast presented as certainty
- A strategy that ends without an owner, measure or next operating decision
Questions before you commit
Clear answers, including the limits.
What is the difference between AI strategy and AI implementation?
Strategy determines where to act, why, under what constraints and how value will be measured. Implementation changes the workflow, system or operating practice. Strathmark can support both, but the decision should precede the build.
Can you work with our IT team or existing agency?
Yes. The work is designed to clarify ownership and give internal teams and suppliers a usable brief. Independent challenge is often most valuable when several parties are involved.
Will the strategy recommend specific tools?
Where the evidence supports it. Recommendations are tied to the workflow, data, integration, security and operating requirements rather than vendor popularity.
Related expertise
A useful first conversation
Tell me what needs to work better.
Share the last concrete example. I will review it personally and respond within two business days with the most useful next step.