Two weeks to learn where AI pays off for you.
What you get at the end of the two weeks.
Opportunity map
Where AI pays off in your business, ranked by value and effort.
Data and readiness review
What your data and systems can support today, and what it would take to get further.
Risk and guardrail notes
Security, privacy and compliance points to settle before anything ships.
Architecture recommendation
Build, buy or wait, with the reasoning written down.
Build plan
Scope, team and timeline for the first build. Or an honest “don’t build this yet”.
How the two weeks run.
Goals, systems, data access and the people we should talk to.
How the work is done today, and what your data can support.
A small test on your own data, scored against real questions.
The findings and the plan, walked through with your team.
In short.
- Length
- 2 weeks
- Scope
- Fixed, agreed in writing before we start
- At the end
- A written plan with scope and timeline, or a clear reason to wait
- Afterwards
- [No obligation to build with us]
And where AI does not pay off, we say so.
Who it’s for.
You have an idea and a deadline. Find out what to build first, and what to skip.
You have data and processes. Find out where AI saves real hours, and what it takes to run.
You have pilots and policies. Find out which pilot can reach production, and what stands in the way.
Before you book two weeks.
Do we need clean data before the audit?
No. Part of the audit is finding out what your data can support today, and what it would take to get further.
Who from our side needs to be involved?
[A sponsor who can make decisions, and a few people who do the work today. We agree the list at kickoff.]
Do we have to build with Agentix afterwards?
[No. The findings and the plan are yours to use with any team.]
Will you sign an NDA?
[Yes, on request, before the first call.]