AI strategy and readiness
Before you spend on AI, find out where it will actually pay off. We talk to your team, review your workflows and data, and come back with a short, ranked plan: what to automate, what to buy instead of build, what it will cost to run, and what to leave alone.
What you get
- Workflow and data review with the people who do the work
- Ranked AI opportunities with effort, running cost and payback estimates
- A build-or-buy recommendation for each opportunity
- A data readiness and privacy review
- A 90-day roadmap your team can start on straight away
- AI usage guidelines and training for your staff
A good fit if
- Leadership wants an AI plan and nobody knows where to start
- You're paying for AI tools that nobody uses
- You need to know what is safe to put into a model and what isn't
Tools we use
Workshops and interviews with your team · Process and data mapping · Cost modelling for model usage · Vendor and tool evaluation
Questions we hear
What if the answer is that we don't need AI?
Then that's what the plan says. Sometimes better software, a cleaner process or a tool you already pay for is the right fix, and it's cheaper to learn that before you build.
Can you build what the plan recommends?
Yes. Our forward-deployed engineers and automation team can pick up the roadmap directly, or your own team can run with it.
Other practices
- Forward-deployed AI engineeringAn engineer joins your team, finds where AI pays off, and ships it in your stack.
- AI agents and automationAgents and workflows that take repetitive work off your team: inboxes, documents, support and reporting.
- Growth marketingSEO, content, campaigns and automation that bring in customers and show you what's working.
What would your team stop doing if it could?
Tell us where the hours go. We'll tell you straight whether AI, better software or better marketing is the fix, and what it would take.