AI transformation, at the speed of AI.
In four weeks we work out where AI can help your business, give it the context it needs, and teach your people to use it on their own work.
Reserve your spot5 slots left for OctoberWe believe AI’s benefits should reach far beyond the companies building it.So we built the AI Ready Sprint: four weeks where your team learns AI by putting it to work on something real. We work alongside your people, so they can keep improving how they use AI after we leave.
Collaborations with the people shaping AI
Why AI adoption stalls
Your team has AI tools but isn’t sure where they can help.
The knowledge AI needs is scattered across Slack, notes and people’s heads.
A list of AI ideas, and no shared view of which comes first.
One person found a good approach. Nobody else can repeat it.
The AI Ready Sprint
In four weeks, your leaders know where AI is worth the effort, your team can use it, and one real task runs a new way that others can repeat.
- Step 1
Map where AI can help
Priorities, how work gets done, where AI is already used, and a baseline of what the team can do with it.
- Step 2
Build your context foundation
The knowledge, examples and instructions people would otherwise retype every time, set up in the tools you already approve.
- Step 3
Train your leaders and team
Leaders learn to judge which opportunities are worth pursuing. Employees practise on their own work until they can check and correct AI’s output themselves.
- Step 4
Make AI part of how your team works
One agreed task, such as turning Slack threads, notes and tickets into a decision brief, done the new way and written up so a colleague can repeat it.
What you leave with
A team that can use AI on its own work
Leaders who can judge an opportunity. Employees who can check and correct an output without help.
A ranked list of AI opportunities
What each needs, and which to do next.
The context AI needs, in your tools
Knowledge, examples and instructions, with a named owner.
A working example in your own business
The first task done the new way, measured against the old, and a starting point for the next.
Who we work with
Service providers and software companies with 30–300 employees.
- 30–300 employees
Service providers and software companies
Big enough to have teams with their own ways of working. Small enough to change one in four weeks.
- Founders, CEOs, operations leaders
The person who decides
You’ve decided AI matters. You want to know where it’s worth the effort in your business.
- Operations, client service, sales
The teams who take part
Work that runs on messages, documents and hand‑offs, which is the work AI is good at.
See how growing businesses like yours put AI to work.
AI Ready helped our team think strategically about the future — grounded, actionable recommendations, aligned with the realities of a growing healthcare company.
For the people building everything else, we make AI work.
AI Ready is led by Haroon Choudery, an AI professional, founder, and educator. He founded A.I. For Anyone, which brought free AI education to 70,000 people, and co-founded Autoblocks, building tools that helped companies test and improve their AI products.
Why we started AI Ready
Ready when you are.
Tell us about your team, and we’ll say whether a Sprint is the right first step.
FAQs
Is the Sprint for our whole company or one team?
We start with the whole business, then work with leadership and an agreed group of participants, which can span functions.
We already use AI. Is this still for us?
Yes. We start from what you have, find the gaps in skills, context or practice, and choose where better use of your existing tools would pay off.
What exactly is in the context foundation?
Selected business knowledge, examples and instructions in the tools you already approve, with an owner. Not a company-wide knowledge system; integrations are scoped separately.
What do you need from us?
A sponsor, the participating employees, access to the relevant information and approved tools, and time to practise between sessions.
How will we know it worked?
A baseline at the start and a practical assessment at the end: can people supply the right context, evaluate an output, correct it and apply the approach alone? For the chosen task, we compare before and after.
What happens after four weeks?
Your team keeps the materials, the ownership and a clear next step. Taking AI further into the business is a separate phase, if you want it.