AI Strategy & Transformation
AI Opportunity Assessment
A short, structured look at your business processes to establish where AI would create measurable value, what it would cost, and which opportunities are actually feasible with the data you have today.
The business problem
The loudest use case is rarely the best one
Ideas arrive from vendors, from conference talks and from whoever is most enthusiastic, and they get assessed on how interesting they sound rather than on what they are worth. Meanwhile the processes that genuinely consume money are unexamined because nobody finds them interesting. The result is investment in visible projects with modest returns while the expensive, boring processes carry on untouched.
What we do
Follow the cost
We map the processes that carry real cost, in people, cycle time or error rate, and test each against what AI can genuinely do today rather than what it is claimed to do. Every candidate gets scored on value, feasibility, data readiness and regulatory exposure, so the ranking survives challenge. You get a shortlist with indicative cost and effort per item, and an explicit list of what we ruled out and why, which is often the more useful half.
AI Opportunity Assessment
Capabilities
-
AI Use-Case Discovery
-
AI Readiness Assessment
-
ROI Prioritization
-
Process Assessment
-
Technical Readiness
-
Organizational Readiness
Common use cases
Common use cases
- Decide where to spend a fixed AI budget across competing business units.
- Test a longlist of proposed use cases before committing engineering effort to any of them.
- Establish whether your data actually supports the ambitions in an existing roadmap.
- Produce the evidence a finance function needs before approving a programme.
How we deliver
How we deliver
-
Discover
Interviews and process mapping across the business units that carry the cost.
-
Assess
Feasibility, data readiness, value and regulatory exposure scored per opportunity.
-
Prioritize
A sequenced portfolio with dependencies, funding and named owners.
-
Operationalize
Operating model, standards and review gates handed to the teams who will run them.
Technology
Technology
- OpenAI
- Anthropic
- Google Cloud
- Microsoft Azure
- AWS
- Open-source models
- ISO/IEC 42001
- EU AI Act
Security & governance
Security & governance
Strategy work sets the control environment everything downstream inherits: AI classification and inventory, the review gates a use case must pass before production, data residency and access boundaries, and the human oversight required at each risk tier. Where the EU AI Act or ISO/IEC 42001 applies, obligations are placed on the roadmap at the point they become binding rather than discovered late.
Engagement models
Engagement models
AI Advisory
Expert consultants provide strategy, architecture, assessment and transformation guidance.
AI Transformation Program
A multi-workstream enterprise programme spanning consulting, engineering and organizational change.
Forward-Deployed AI Team
A cross-functional AI team works inside your organization to continuously find and deliver opportunities.
Why TeamExtension.ai
We cost it against delivery
An assessment that cannot say what something costs to build is half an answer. Because we deliver these systems, our effort estimates come from having built comparable things, and we will tell you when a use case is not worth it. Consultancies that do not build tend to produce longer shortlists.
Selected clients
Frequently asked questions
Frequently asked questions
How long does an assessment take?
What do we need to provide?
What if the answer is that AI is not the right tool?
Can this lead directly into delivery?
Related capabilities
Related capabilities
AI Strategy & Transformation
AI Strategy
Decide where AI belongs in your business, what it is worth, and in what order to build it.
Learn moreAI Data & Models
AI Data Strategy
Make enterprise knowledge usable by AI: readiness, ownership, quality and retrieval architecture.
Learn moreAI Infrastructure & LLMOps
AI Architecture
Design the reference architecture your AI systems share: models, retrieval, orchestration, data and controls.
Learn moreDiscuss Your AI Initiative
Analyze business processes and identify where AI creates measurable financial or operational value.