AI readiness assessment
AI readiness assessment
A clear starting point for your next AI investment.
Turn ideas into a practical plan by reviewing the workflows, information and systems an AI solution will need before you commit to a build.
At a glance
- Workflow discovery
- Data and knowledge review
- Integration feasibility
- Prioritised delivery roadmap
Scope and pricing are agreed after discovery.
An example in practice
A growing business wants to automate customer enquiries but needs to decide which questions, channels and systems to include first.
Illustrative workflow. Available actions depend on the agreed implementation and connected systems.
How we work
- 1
Identify the conversations and tasks taking the most team time.
- 2
Review available documents, data quality and system access.
- 3
Compare candidate use cases against effort, business value and risk.
- 4
Agree a pilot, success measures and the information needed to begin.
What you receive
A discovery summary, prioritised use cases and an agreed pilot brief.
Usage, licences and ongoing support are quoted separately where applicable.
Common questions
- How is a service priced?
- We agree a quotation after reviewing the required workflows, systems and support. Recurring usage or third-party charges are identified in the scope.
- How long does it take?
- The schedule depends on complexity, access to your systems and testing requirements. Milestones are agreed before implementation.
- What do you need from us?
- A project contact, the relevant business information and access to the systems included in the agreed scope.
Related services
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