How much could AI save your team?
Pick one repeatable piece of work and move the sliders to match it. The estimate updates as you go, and the readiness check below tells you what to do first. It is a rough model, not a quote.
The process
One process at a time works best: claims intake, support tickets, contract review, outreach, month-end reporting.
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Your estimate
0hours freed per year
0value per year at your hourly cost
0full-time equivalents
0hours back every week
Model: people × hours × 46 working weeks × AI share, less 15% for human review. Results depend on your data, process and risk appetite. Nothing here is a quote.
Readiness check
Eight questions, one minute. Answer honestly; "partly" is the most common answer we hear.
We have a written list of AI use cases ranked by value and feasibility.
A senior leader owns AI decisions, budget and risk.
The data for our top use case is accessible and we know who controls it.
At least one engineer can integrate an API into our systems and deploy it.
We know which regulations apply to our AI use (DPDP Act, EU AI Act, sector rules).
We have a way to test AI outputs before a release, even if it is manual today.
Our IT policy says which model providers we may use and where data may live.
Business users have time to give weekly feedback during a pilot.
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Answer the eight questions
Your readiness stage and the step we would suggest first appear here.
Tell us the problem. We'll tell you if AI is the answer.
A 30-minute call, no deck, no obligation.