Service / 01 Advise
AI Strategy & Readiness
A clear, prioritised view of where AI can create value in your business and what has to be true to deliver it.
/ 01The business problem
Why this matters
Leadership teams are under pressure to "do something with AI" while pilots stall, vendors pitch overlapping tools and nobody can say which ideas will survive contact with real data and real controls.
A useful strategy is not a slide of trends. It is a short list of opportunities ranked by value and feasibility, an honest view of your data and systems, and a sequence of steps that builds capability rather than a pile of disconnected proofs of concept.
Who it is for
- Executive teams setting AI direction and budget
- Transformation and innovation leads with stalled pilots
- CIOs and CTOs consolidating AI vendors and platforms
/ 02Scope
What the engagement covers
- 01Stakeholder interviews across business, technology, risk and legal
- 02Inventory of current AI use, pilots, tools and shadow usage
- 03Readiness review of data, platforms, security and skills
- 04Opportunity long-list and value/feasibility scoring
- 05Target operating model and governance options
- 06Twelve-month roadmap with investment ranges
/ 03Technical approach
How we work on it
Listen first
We interview people who run the work, not only sponsors. The best opportunities usually come from where effort is high and judgement is repetitive.
Test feasibility early
For leading candidates we sample real data and run quick technical spikes, so the roadmap reflects evidence rather than enthusiasm.
Design for capability
We sequence initiatives so shared foundations such as data access, evaluation and governance are built once and reused.
/ 04Process
From first call to production
- 1
Consultation
A focused conversation about the problem, constraints and what success would mean.
- 2
Discovery
Evidence gathering: data samples, process walkthroughs and a measured baseline.
- 3
Proposal
Scope, approach, team, timeline, risks and a fixed or estimated price.
- 4
Delivery
Iterative sprints with demos and evaluation results at each milestone.
- 5
Handover or run
Documentation, runbooks and training, or ongoing operation by our team.
/ 05Deliverables
What you receive
- Readiness assessment report
- Scored opportunity portfolio
- Reference architecture options
- Governance and operating model recommendations
- Roadmap with milestones, risks and investment ranges
- Executive briefing session
Engagement options
Fixed-scope sprint
Two to six weeks with a defined deliverable and price, suitable for discovery, assessments and prototypes.
Strategy plus first pilot
The assessment followed directly by a scoped pilot of the top-ranked opportunity, keeping momentum.
/ 06FAQ
Common questions
How long does a readiness assessment take?
Typically three to six weeks depending on the number of business units and how much access to systems and data we can get early.
Will you recommend your own products?
Only where they fit. The assessment compares build, buy and extend options, including tools you already license.
Related solutions
- SolutionInternal Knowledge SearchAnswers from policies, documentation and past work, with citations and permissions intact.
- SolutionCustomer Support & CXFaster, more consistent service: AI triage, agent assist and self-service that hands over cleanly.
- SolutionDocument & Back-office AIClassify, extract and validate document data, and route exceptions to the right people.
Related product concepts
Talk to an engineer about ai strategy & readiness
Bring the problem and any constraints. You will leave the conversation with an honest view of the options, even if the answer is not us.