Outcome before tool
The starting question is which outcome hurts the business today, not which tool is trendy.
AI FOR BUSINESS · BUILD
AI7 Implementation
Trying an AI agent takes an afternoon. Making it work every day takes method. Seven steps to take one of your processes into production, with clear limits, rules from day one and measured results.
- 7 steps
- Pilot before day 30
- 90-day plan or ongoing
the principles
Agents are not missing. Method is.
Almost every company is “exploring AI agents”. In practice it is usually a pilot without direction. AI7 brings order to that path through three principles:
Process before agent
If the process cannot be drawn in five minutes, it is not ready to automate. Automating what you do not understand only scales the mess.
People orchestrate, agents execute
Judgment and verification stay on the human side. Agent permissions expand only with evidence.
the method
Seven steps, always in the same order
Steps 1 to 5 build the agent, step 6 justifies it and step 7 keeps it alive. It is a cycle: every lap adds a new process.
Outcome
A single outcome, with a number and a deadline, that matters to whoever owns the budget. For example: cut the time to build weekly reports in half.
Process
How the work is done today end to end: where information comes from, where decisions are made and where approvals happen.
Autonomy
What the agent can do alone and what needs a person’s approval. It is a set of permissions, not a yes or no.
Governance
Who owns it, what data it can use, how its output is reviewed and what happens when it fails.
Context
Curated examples, clean sources and simple, testable rules. Most agents fail for lack of context, not because of the model.
Value
Three numbers per process, measured before and after: time saved, quality and business impact.
Rhythm
A short weekly review: what improved, where quality dropped, which permissions change and what should be retired.
how it works
From the chosen process to production
The first process reaches a pilot with real users before day 30. We run at most two initiatives at a time, to finish what we start.
Weeks 1–2
Design
Confirm the outcome and the process, define what the agent does alone and what a person approves, and write its rules. The pilot date is set.
Weeks 3–4
Build and pilot
Build the agent’s context and test it with real cases from the area. Friction is logged and adjusted.
Weeks 5–6
Go live
The area’s team is trained before launch and the process starts running every day, with a person in the loop where defined.
Weeks 9–10
Measure and decide
The three numbers are compared against the baseline and a decision is made: scale, refine or retire.
From launch
Operate
The weekly review is owned by the process owner. We support the first editions.
engagement models
With your team or ours
90-day plan
The plan’s initiatives are designed, piloted and deployed in three months, with milestones and measurement.
- Ideal after an AI Strategy Sprint.
- Built by your team with our support, or by the LAB9 team.
Ongoing implementation
If you have no in-house team, the LAB9 team maintains what is already in production and builds new cases, month after month.
- Monthly intake of candidate cases.
- Agent registry and reporting to the sponsor.
what stays in your company
Seven one-page documents
Each one answers a question and stays in your company, so the capability does not depend on us.
Outcome Sheet
Outcome, metric, owner and estimated value.
Process Map
How the work is done today and where the real bottleneck is.
Autonomy Matrix
What the agent does alone and what needs approval, action by action.
Governance Charter
Owner, allowed data, review and incidents for each agent.
Context Pack
Examples, sources and rules, versioned.
Value Dashboard
Time, quality and impact, before and after.
Weekly ritual
A fixed fifteen-minute agenda to improve, adjust or switch off.
FAQs
Frequently asked questions
About which processes to implement and how we work.
Those that repeat, have a measurable outcome and can be drawn end to end: reports, document entry, sales administration, customer service. If you do not know where to start, the AI Strategy Sprint defines it.
Yes, if you already have a chosen process and a clear metric. In that case you start directly at step 1 and reach the pilot before day 30.
It gets switched off. Every initiative ends in an explicit decision: scale, refine or retire. Switching off what does not work is part of the method.
That is not the goal. AI7 is for processes delegated to an agent or automated end to end. Individual use is addressed with training and usage rules: that is what the Academy is for.
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