Govern, measure and evolve|INEMA.CLUB-PRO

AI Management Program 2027 · G5 · closing · 8 lessons

Govern, measure and evolve

An agent that works today isn't enough: someone has to answer for it, see what it did, know whether it's good, and improve it without losing control. In eight lessons you name the people accountable, check permissions and the log, set up evaluation and indicators, run a LOOP-R cycle with a return loop, and close the program with the final project in Gestoria.

Start with lesson 1 See the AI Management Area
The sales manager and the owner of a distributor look together at a panel of five indicators on the wall; in the background, through the glass, the stock of jugs of cleaning products.
  • 8lessons of 14 to 20 minutes
  • 18exercises with "done when"
  • 27templates and prompts to copy
  • 1final project with the program rubric

The 6 courses in the program

This is G5, the wrap-up. The final project in lesson 8 uses everyone's deliverables: process (G2), agents (G3), resources (G4), people (G1), and governance and measurement (G5). Suggested order: G0 → G2 → G3 → G4 → G1 → G5. All six are already published.

  1. G0 · entry point · publishedThe agentic company and the 2027 managerWhat changed in management, what the consultancies say, Brazil, the career, and your first process.Open the course
  2. G2 · processes · publishedProcesses: a process isn't sacredTake the process apart before automating it: eliminate, simplify, redesign, and decide who does each step.Open the course
  3. G3 · agents · publishedAgents: hire, delegate, and superviseJob role, delegation, constitution, authority limit, progressive trust, agent team, and exception queue.Open the course
  4. G4 · resources · publishedResources: models, data, and budgetChoose a model for each case, take care of context and company knowledge, and measure cost per outcome.Open the course
  5. G1 · people · publishedPeople: lead the hybrid teamWhat stays with people, the conversation about change, the junior who supervises agents, and team training.Open the course
  6. G5 · wrap-up · you are hereGovern, measure and evolveAccountable people, permissions, and log; evaluation and indicators; a LOOP-R cycle with a rollback and the final project in Gestoria.Open the course

The lessons

In the order in which operations gain governance: who answers, what is allowed and logged, how you evaluate and measure, how you improve with a return loop, what the law requires. Lesson 8 brings it all together in the program's final project.

  1. Lesson 1 · 18 minWho is accountable for the agentIn Hora's configuration, the "owner" field says: Rafael, outsourced IT. He maintains the tool, but he is not accountable for the discount Hora gave or the order she closed. In this lesson you build the operation's responsibility matrix, action by action, with a rule accounting has used for decades: whoever enters it does not approve it.
  2. Lesson 2 · 18 minPermissions, identity and logIn G3 you decided the color of each action, and in G4 you contracted each tool with minimum access. What's left is to check that this really exists and keeps existing. At Horizonte, the log of actions was turned off "to save space" and the email assistant was approved with a "go ahead" on WhatsApp. This lesson gives the manager a 10-item checklist to review every month.
  3. Lesson 3 · 20 minEvals: good compared to what?"The Hora is doing well" is an impression. To say whether it's good, and whether the new version is better than the old one, you need a fixed set of cases with the right answer written beforehand, a ruler that separates the error that annoys from the error that costs you, and the habit of running everything again after every change. That has a name: evaluation, or eval.
  4. Lesson 4 · 20 minThe agent's indicatorsThe Hora dashboard shows requests going up, and Carlos concludes it is paying for itself. The dashboard only measures volume: it doesn't tell you whether Hora got it right, how much each request cost, or how much human work is still needed. In this lesson you replace that dashboard with five agent indicators, each with a numerator, a denominator, a baseline and a limit that triggers an action.
  5. Lesson 5 · 20 minLOOP-R: the process that learnsHora handles nine hundred conversations a week and, the next week, works the same way. Every run generates evidence that nobody uses. LOOP-R closes the cycle: the run becomes evidence, the evidence becomes a hypothesis, the hypothesis becomes a test, and only what is proven goes into the next version. In this lesson you run a full cycle on Hora, from running to promoting.
  6. Lesson 6 · 20 minPromote and roll backHora v2.2 won the test and was promoted. A week later, logistics changed the delivery day for one route and the agent's table went stale. The conversations handled by Juliana stayed low, but missed delivery-time promises went over the limit. Promoting and rolling back are planned steps: in this lesson you write both before you need them.
  7. Lesson 7 · 14 minRules that are comingAn agent manager doesn't have to become a lawyer, but needs to know what already applies, what has a deadline, what is under discussion and who owns each item. This lesson is short on purpose: it builds your area's compliance timeline and shows that the program's pieces already cover much of the evidence a regulation or a client will ask for.
  8. Lesson 8 · 20 minFinal project in Gestoria + What changedThe final project of the program is to manage an operation from end to end: understand it, redesign it, divide the work, equip the agent, run it, evaluate it and improve it. You log the operation in Gestoria, build the 14-step report and run it through the rubric that brings together the program's courses. At the end, you'll see what changed in the market, with a date and a source.

Who it's for

  1. 1Area managers, owners of small or mid-sized companies, and operations or HR leaders who already have AI agents working on the team.
  2. 2For people who don't code and don't want to: here you govern, measure, and improve the operation. Building an agent is a different course.
  3. 3For people who took the other courses in the program (or have their pieces) and want to wrap up with the final project. You can do it on your own, but lesson 8 pays off more with your deliverables from G2, G3, and G4.

What you'll be able to do

  1. 1A responsibility matrix where whoever enters it does not approve it, and every agent has a person who is accountable for it.
  2. 2An identity, permission, and log checklist applied to your agent, with a monthly review scheduled.
  3. 3A set of 30 cases with an answer key and a dashboard of 5 indicators with a denominator and a baseline.
  4. 4A logged LOOP-R cycle, with hypothesis, test, decision, and the rollback trigger written down before you promote.

The case that runs through the course

  1. 1Horizonte Distribuidora, a 40-person fictional study company that distributes cleaning products in the interior of São Paulo.
  2. 2You play Patrícia Lima, sales manager, who is responsible for Hora, the agent that sells over WhatsApp. Carlos, the owner, wants to extend Hora to collections; you ask that the decision wait until the operation is governed and measured.
  3. 3The lab's failures become management problems: an agent with IT as the accountable person, the log turned off, a tool switched on with a "go ahead" on WhatsApp, and a dashboard without a baseline.