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Certified AI Integration Manager

In this AI integration manager certification course, you redesign how work moves between teams, with AI doing the parts it is good at.

2 daysLive online
8Modules, most of them on your own work
5 + 3Checks marked, three results each
2 yearsCredential validity

Who it is for

You are today Holders of any starting credential
After the class Redesign how work moves between teams, with AI doing the parts it is good at.
Prerequisite Any of the three starting credentials (AI-PMPO, AI-PM or AI-TF) admits you.

What you will do

  • Map work that crosses two or more teams
  • Decide, step by step, what AI does alone, what AI helps with, and what stays with a person
  • Design what happens when the AI gets it wrong: the checks, the fallback, the off switch
  • Turn scattered prompts into a shared library the whole program can use
  • Set the quality bar, and measure whether any of it actually helped

The two days, module by module

This AI integration manager training is built around the cross-team decisions you will face once you hold this credential. It is a group class, not one-on-one coaching. Of the 720 teaching minutes, 518 are hands-on, spent on your own material. You build the work you hand in as you go, so nothing is left to reconstruct afterward.

  1. 1
    Mapping a flow that crosses teams You map one real flow that crosses at least two teams. 90 min
  2. 2
    Deciding which steps AI handles and which stay with people The seam is the line between what AI does and what people do. 90 min
  3. 3
    Controls for a step AI handles alone This module is about one step you marked automate. 120 min
  4. 4
    Building a shared prompt library You take two prompts you wrote in your starting credential class and turn them into library entries. 90 min
  5. 5
    Setting the quality bar You write what the program will and will not accept from AI, in three short rules, and name the one person who decides a contested case and how long they have. 75 min
  6. 6
    Measuring use and impact separately You build a measurement plan with adoption and impact on two separate tracks. 90 min
  7. 7
    The person who will not use it You work one real refusal you brought with you and sort it: a training problem, a tooling problem or a management problem. 75 min
  8. 8
    Putting together the work you hand in You put together the six parts of the work you hand in, check them against the marking guide with a peer who holds a different starting credential, and strip out anything confidential before you send it. 90 min

How you earn it

Attendance does not earn the credential. Your own work does.

  1. 1 Attend the live class Two days, live online.
  2. 2 Hand in your own work Within 14 days of class, built on your own material.
  3. 3 A marker who did not teach you marks it Against the marking guide you can read before you pay, back inside 10 working days. It can be failed. One free resubmission.
  4. 4 Your credential, valid for 2 years A printed Certificate ID and a digital badge.

What the marker looks for

Five things the marker checks. Each gets one of three results: Not yet, Pass, Strong. The full marking guide opens below.

Not yet Pass Strong
Flow fidelity Your map shows how the work really crosses teams.
Seam calls Every step is marked automate, augment or escalate, with a reason.
Escalation and control design Checkpoints, fallback, retry and a kill switch are named for the automated step.
Measurement separation Adoption metrics and impact metrics are kept apart.
Handover Someone who was not in the room could run it.

What you leave with

One redesigned cross-team workflow
A measurement plan you can defend

What you hold when you pass

Certified AI Integration Manager badge
AI-IM
Issued by the American School of AI
You get the Certified AI Integration Manager credential: a digital badge and a printed Certificate ID, checkable by anyone, valid for 2 years

See the certificate specimen

Certification Standard v1.0

Certified AI Integration Manager AI-IM

What the class covers

  1. Mapping a flow that crosses teams
  2. Deciding which steps AI handles and which stay with people
  3. Controls for a step AI handles alone
  4. Building a shared prompt library
  5. Setting the quality bar
  6. Measuring use and impact separately
  7. The person who will not use it
  8. Putting together the work you hand in

What you hand in

After class you hand in one piece of work in six fixed parts: a cover note, your prompts, the raw AI output, the final version, your list of what you changed and why, and your note on what you kept AI away from. The final version holds the redesigned cross-team flow in four pieces: the handoff record, the step table with a call and a reason on every step, the written controls for one automated step, and the two-track measurement plan. Your prompts section carries two library entries built from prompts you wrote in your starting credential class, and the raw output shows what they returned, unedited, on your own material. Your note on what you kept AI away from is your written account of the one step you decided AI must not touch and why, one real refusal sorted with the evidence and the action, and your quality bar in three rules. A marker who did not teach the class checks the work against five things, each given one of three results: Not yet, Pass or Strong. A pass needs Pass or Strong on all five. A Strong on one cannot make up for a Not yet on another. If your employer will not let you bring real material, you say so on the cover note and use the supplied practice set. It is marked the same way.

How it is marked

Not yet Pass Strong
Flow fidelity

Not yet: the flow sits inside one team, or the second team is a box with no step attached, or no handoff is marked, or the steps are generic stage names with nothing saying what moves between them. Pass: the flow crosses at least two teams, named with the same team codes you set in the cover note; every handoff is marked and names what is handed over, who hands it, who receives it, and what the receiving team cannot start without; at least one step carries a real duration or wait. Strong: Pass, and the record names at least one place where the flow differs from how it is documented internally and says which version you are designing against, or it carries a measured wait time at a handoff from a named source.

Seam calls

Not yet: one or more steps carry no call, or the reasons repeat one point across most steps, or every step carries the same call. Pass: every step carries automate, augment or escalate; each reason names the feature of that step that decides the call, such as how easily it can be undone, who is affected by an error, whether the input is complete, or whether a judgment about a person is involved; at least two different calls appear. Strong: Pass, and at least one entry in your list of what you changed records a call you reversed and what changed your mind, or a step marked escalate names the specific condition that triggers it.

Escalation and control design

Not yet: any of the six required controls is missing (what the step may decide, the human checkpoint, the fallback, the retry rule, the kill switch, the owner), or the kill switch has no statement of who can pull it and what happens to work in flight, or the checkpoint says only that a human reviews the output. Pass: all six present; the design states what the step may decide and what it must pass on, the checkpoint states what the person checks and what they do when it fails, the fallback states what runs instead, the retry rule states how many attempts and what happens after the last, the kill switch names who can pull it, how, and what happens to work in flight, and each control names an owning role. Strong: Pass, and the design names the signal by which anyone would notice bad output with nobody pulling the switch, or names the failure you expect first, based on something already seen in that flow.

Measurement separation

Not yet: adoption and impact in one list, or every measure is an adoption measure, or a measure has no source, or time saved appears with no statement of what is subtracted for review. Pass: two separate, labeled tracks; at least three adoption measures, each with a source, how often it is taken and an owner; at least two impact measures, each with a baseline (the number before the change) that exists now or a stated plan to capture one before the change lands; any time-saved figure states what is subtracted for review and rework; at least one measure covers rejected AI output as well as accepted. Strong: Pass, and the plan names a measure that would move the wrong way if the change were working and says why, or names the measure you would put in front of a sponsor first and the number that would make them stop.

Handover

Not yet: a design with no instruction for running it, or the prompt library section is missing or has no naming rule, no version numbers or nobody named to review it, or a step depends on knowledge only you have, or your note on what you kept AI away from gives no account a stranger could act on. Pass: the prompt library section has a naming rule, a version on every item, a named reviewer and a set review schedule, and the raw output section shows what those entries returned; every step carries an instruction another person in your role could follow; the quality bar says what goes out and what does not; the refusal account is written so a person who was not in the room understands what not to do and why. Strong: Pass, and the library states how an item is retired, or the hand-in names the first thing that will break when the AI model changes and what the reviewer checks, or the refusal account names a case where the refuser was correct or your own first sort was wrong.

How it is issued

You take the two-day live class, then hand in one piece of work built on your own material within 14 days of the last day of class. A marker who did not teach the class reads it against the marking guide, published before you pay, and returns a result and a written reason on each of the five things they check. The credential can be failed. You get one free chance to fix it and hand it in again, with written feedback, inside 14 days of the mark.

Issued by the American School of AI. Delivered by our authorized training providers. The school writes the standard and has every hand-in marked by someone independent. The credential carries a printed Certificate ID and a digital badge.

Anyone can check the credential on the Verify a Credential page by entering the Certificate ID printed on the certificate. The credential is valid for 2 years, and the valid-through date is printed on the certificate.
FAQ

Questions, answered

How the Certified AI Integration Manager credential works.

Contact Us
Who is this class for?

The Certified AI Integration Manager class is for anyone holding one of the three starting credentials: AI-TF (Scrum Masters and team coaches), AI-PMPO (Product Managers, Product Owners and backlog owners), or AI-PM (project and delivery managers). All three groups attend the same class.

Do I need a starting credential first?

Yes. Any one of the three starting credentials admits you to the Certified AI Integration Manager certification.

Who issues the credential, and who teaches the class?

The American School of AI issues the Certified AI Integration Manager credential and sets the marking standard. Authorized training providers deliver the AI integration manager training live online over two days.

How is it marked?

You submit one piece of work in six fixed parts, built on your own material, within 14 days of the last day of class. A marker who did not teach you, and who never sees your name or employer, checks it against five published criteria and returns a result for each one, with a written reason.

What if I do not pass?

You receive your result and written feedback within 10 working days. You can then revise and resubmit your work once, within 14 days of receiving the result.

What are the six parts of the submission?

Your submission includes a cover note, your prompts, the raw AI output, the final version, a list of what you changed and why, and a note explaining what you kept AI away from.

How can I verify the credential?

You receive your result and written feedback within 10 working days. You can then revise and resubmit your work once, within 14 days of receiving the result.

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The American School of AI does not run classes. Our authorized training providers deliver this one live online over two days.

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