One workflow · Four to six weeks · Client owned
Your team uses AI. The business still runs on scattered context.
GoKati turns one business-critical workflow into a company-owned AI operating system your team can run, verify and improve.
Andre reviews each application. Suitable teams receive a link for a 30-minute workflow-mapping call.
The operating problem
AI access has not fixed the way work moves.
Your team may already use ChatGPT, Claude or Copilot. People still repaste background, rebuild briefs, search old threads and depend on whoever remembers what happened last time.
Today
- Important context sits across inboxes, calls and personal folders.
- Each AI conversation starts with another explanation.
- Good outputs depend on one experienced employee.
- Decisions, owners and next actions disappear during handoffs.
- Nobody can show which instructions or evidence produced the answer.
After the install
- The workflow has approved inputs, rules and owners.
- Agents retrieve relevant context instead of loading everything.
- The team works from repeatable templates and review gates.
- Decisions and next actions survive interruptions and staff changes.
- The client can inspect, operate and improve the system.
The AI Operating System Install
Diagnose it. Build it. Prove it. Hand it over.
Andre works with the people who perform the workflow, then installs only the structure the team will use.
Map the real workflow
Trace inputs, tools, handoffs, delays, risks and the business result. Choose one workflow worth fixing.
Build the operating room
Create the client-owned memory, routing, task, decision and output structure around approved sources.
Install the working method
Add reusable instructions, templates, checks and human approvals. Run representative company work through it.
Enable Codex and CLI
Teach the operator when to use the accessible desktop experience and when deeper repository control matters.
Measure the change
Compare the new workflow with the baseline: time, rework, response speed, consistency and commercial progression.
Hand over ownership
Train the main and backup operator, provide the operating guide and leave a practical 30-day improvement backlog.
How the team uses it
The system lives with the client.
Most employees do not need a command line. They contribute through the tools they already use while a named AI OS Owner runs and governs the privileged layer.
Built from operating proof
Three implementations sit behind the method.
GoKati uses working systems and inspectable artifacts as proof. It does not rely on an AI transformation slide deck.
Andre's AI Lab
A maintained filesystem for memory, routing, tasks, decisions, skills, outputs, safety controls and continuity across agents.
Trust Touch Clean
A live service-business implementation covering landing pages, project proof, attribution, lead capture and follow-up discipline.
Proposal confidence
A repeatable structure that turns discovery, configuration, alternatives, value and unique terms into a commercial document a seller wants to send.
Fit before booking
Designed for one costly, repeated workflow.
A strong fit
- A founder-led or operator-led business with roughly 10–100 people.
- One workflow depends on inboxes, documents and individual memory.
- Missed follow-up, slow preparation, weak proposals or poor handoffs have a visible cost.
- An executive sponsor and workflow owner can take part for four to six weeks.
- The business can invest in a focused implementation when the value case holds.
Probably not yet
- You want a generic AI workshop without a workflow to change.
- You expect autonomous publishing, messaging or business decisions.
- You need a company-wide knowledge migration or custom SaaS product.
- Nobody inside the company can own the system after handover.
- The project has no representative source material or time for review.
Does this replace our CRM or document system?
No. The install works around one workflow and connects to approved existing sources. Replacing major systems requires separate scope.
Will everyone need to learn the command line?
No. One main operator and one backup learn the privileged workflow. Other team members use familiar intake, review and output routes.
Do you publish the fee on the website?
No. Scope, readiness and the value of the workflow need to be established before Andre issues a private proposal.
What happens after I apply?
Andre reviews the workflow, ownership, timing and investment fit. Suitable applications receive a private link for a 30-minute mapping call.
Application
Bring one workflow worth fixing.
Give Andre enough context to judge whether a focused install can produce a measurable improvement.
No booking link appears automatically. The mapping call comes after qualification.