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AI consulting and automation audit
Before anything gets built: where AI actually pays for itself in your business, and where it does not.
You probably need this if
- You know AI could help somewhere and cannot tell where
- Quotes for "an AI system" arrive with no agreement on what problem it solves
- Two people in the business would each automate something different first
- You have been sold a tool and it did not change the work
- The process everybody complains about has never actually been measured
What gets built
- A map of what happens today, including the steps nobody writes down
- What each one costs — in hours, in errors, in work that sits waiting
- A ranked list: what to automate, what to leave alone, what needs the process fixed first
- A roadmap you own, usable whether I build it, someone else does, or nobody does
- An honest answer where the answer is "not this"
A real example
How the products here started
Before AskRoby and RobyContracts existed there was an audit of one operation — 53 tenants, 30 escalating contracts, and a count of where the hours actually went. The software came after the measurement, which is the order that makes software worth buying.
When this is the wrong answer
If you already know exactly what you want built and why, skip the audit and describe the project. This exists to answer uncertainty, and when there is none it is a delay.