Your client’s details
We work on material you choose and redact yourself. You see what each tool sends out, where it is stored, and the setting that stops your data being used for training, from the suppliers’ own written policies.
Consulting
The AI-Native Organization program.
Two 90-minute working sessions on your firm’s material, with supported practice between them. Your team leaves with a worked task, supplier questions, and a business measure.
Prefer to write first? sales@8hats.ai.
The offer
Two sessions with the people who decide
One price for the firm, however many of you are in the room.
- The full program
The AI-Native Organization
USD 8,000per firm
Two working sessions of 90 minutes for your top team, online or in person, with real AI agent use in between. Step by step detail in the program PDF.
After the first session, if you decide it is not worth continuing, we stop and return half.
You leave with:
- a written page of questions any supplier has to answer before you sign, with our own answers to them
- one job from your own week that your team has run itself
- one number you already keep, written down before we start and read again on day thirty
- If you want a smaller first step
Strategy consultation
USD 1,000
Ninety minutes, one to one, on your own plan. You send us what you are working with beforehand. We go through what AI can and cannot take over in your firm, and what that is worth in hours and money. You leave with it written up, not only discussed.
Private. Nothing goes to your team unless you take it there yourself.
Not worth the money? Say so within seven days. Full refund, and you keep the write-up.
Session one · 90 minutes
We show what runs in our own firm, on the screen. Then we pick one job from your own week.
Two weeks of our support
Your team runs that job itself, on your own material. We stay reachable.
Session two · 90 minutes
What actually happened, reviewed. Your page of supplier questions, written and answered.
If the plan says build, the workflow your team picked goes into a pilot afterwards, set up for everyone who took part. We quote it then, on what the plan says.
What you actually need
Check the work behind the claim.
Use the same questions for a supplier announcement and your own team’s report.
Inspect the output, count the work needed to verify and correct it, and compare the result with the business measure you chose before starting.
See how to examine an AI claim
Three possible readings of one announcement. These are questions to investigate, not verified accounts of Klarna’s results.
A real announcement — Klarna
“Our AI assistant handles two-thirds of customer service chats… doing the equivalent work of 700 full-time agents.”
The announcement leaves three questions open.
Reading 1
What changed in the work?
Check whether handling scripted chats changed the total cost to serve.
Check the full cost
Reading 2
Was this the constraint?
Check whether support capacity was the constraint on the business.
Check the business constraint
Reading 3
Did the business measure change?
Check whether total cost, review effort, and service outcomes changed enough to affect a business decision.
Compare the outcomes
Agree the checks before committing further. An announcement alone cannot tell you whether the same approach fits your firm.
Use AI simulations to generate questions for investigation. They do not establish what customers want or will buy.
A result to inspect
Keep the evidence beside the decision.
A supplier-question sheet
- Task
- Which work was tested, on which material?
- Acceptance
- What passed review, and what needed correction?
- Cost
- What did setup, production, and review require?
- Human ruling
- What needs resolving before the next commitment?
Inspect a proposed review and approval record in Document Review & Approval. Use your own baseline to judge the workflow.
What does not move
The part that stays with you
Whatever you decide about AI, the responsibility stays inside your firm.
Your team keeps approval and business decisions. Agree the task, acceptance checks, and data boundary before work starts.
Your people
Nothing here requires you to change a single job. The first work software takes is the retyping: the same figures keyed into three systems, five years of history copied out of a PDF. We do not advise on headcount. It is not what we sell.
Who would do it
The people you get
Some of us are in the United States, some in Singapore. For each engagement we put together the people whose experience fits your business, and two of us are in every session: no associates, no handoff.
Built CourseFactory, acquired by Smartcat. 25+ years in EdTech and AI. The engineer behind our setups.
Designs the measurements behind every number we publish, and the way we tell a real result from a plausible one.
Fourteen years in data intelligence for banks and fintechs. Head of Product, Asia at CEIC (ISI Markets), quants product line globally. PhD in Economics.
Built Examus, acquired by Constructor Tech. Runs 8Hats day to day, with AI agents doing most of the routine work.
We measure the business, not the activity. More drafts produced is not a result. It counts when it moves something you already count — and we name that number before the work starts.
Explore the questions and public evidence behind our work in our research.
Start here
Start with a conversation
Send us what you have, no deck and no charge. We go through what you have tried and what you have seen others claim, then tell you where you stand and whether the program fits.
Prefer to write first? sales@8hats.ai.
The program PDF has the team, the case, how we tell a real result from a plausible one, what happens week by week, what you have at the end, and the price. Three appendices at the back carry the frame we use and a finished workflow, if you want to see one.