AAIBAST guided workshop
Academy / Resource Utilization Agent
Workshop settingsOpen field guide

Evidence-grounded customer journey

Resource Utilization Agent

Build this agent step by step, then show it to a customer. Easy mode lets AI do the clicks; Manual mode shows every step yourself.

About this workshop
Workshop mission: Turn motivated, open-minded, non-technical sales professionals into AI superheroes who can match the practical output and problem-solving pace of technical peers who are not using AI, while staying evidence-grounded, governed, and honest about what the tools proved.
Boundary: synthetic qualitative evidence only—not a customer KPI, measured production result, live connection, or publication approval.

Self-paced local achievements

Workshop achievements

0 total points 0 in this workshop

0 of 0 Easy checkpoints complete

  • No badges yet
View achievements and local profile

Optional public verification

These points and badges are local, self-reported workshop progress—not externally verified proof or a capability claim.

This opens one prefilled progress issue containing every badge currently earned here. Nothing syncs until you submit it. Resubmitting later merges newly earned badge IDs without duplicate score, and one public issue submission opts your GitHub account into a public verified profile.

1

Workshop setup

Open GitHub Copilot Chat

Start in GitHub Copilot Chat. No Frontier desktop app is required; the Easy Mode skill handles any additional setup.

Get ready
  1. Open VS Code with the GitHub Copilot Chat extension installed.
  2. Sign in to GitHub with an account that has Copilot access.
  3. Open the Copilot Chat panel and select Agent mode.
Expected result

GitHub Copilot Chat is open in VS Code, signed in, and set to Agent mode.

What you will learn

  • Use the single Easy Mode skill.
  • Build and prove the portable agent.
  • Deploy the reviewed solution as an unpublished Draft.
  • Confirm the behavior yourself in Copilot Studio Preview.
  • Recognize the evidence that means the module is complete.

Before you begin

  • Use VS Code with GitHub Copilot Chat in Agent mode.
  • Sign in to GitHub with Copilot access.
  • Have access to a Copilot Studio environment.
  • The skill handles setup for you.
  • Do not publish. This module ends with a validated Draft.

Easy mode

2

Prepare your Copilot

Brief your Copilot with one line

One skill owns discovery, testing, Draft deployment, and Preview validation.

Do this
  1. Open GitHub Copilot Chat in VS Code and select Agent mode.
  2. Paste this one line and send it. Copilot reads the skill itself; nothing to download.
Send this message
Go and read https://raw.githubusercontent.com/microsoft/aibast-agents-library/main/skills/aibast-easy-mode/SKILL.md and run the Resource Utilization workshop for me.
Expected result

Copilot says it has read the skill and is running the workshop. The skill owns the remaining setup and validation.

3

Prove the solution locally

Ask Easy Mode to build and test Resource Utilization

This step proves the portable business logic before any Copilot Studio work begins. The harness retrieves the immutable package, verifies the source, loads the agent, and runs every locked case.

Send this message
Give me Resource Utilization using Easy Mode and test it for me.
Expected result

Copilot reports a verified source and 8/8 locked local cases passed.

Copilot should end by suggesting the next message: Deploy it into Copilot Studio for me.

4

Create the reviewed Draft

Deploy the already-tested solution to Copilot Studio

The harness now uses the verified Microsoft Copilot Studio plugin to reuse or create the source-controlled Draft, synchronize the reviewed instructions and assets, validate the PAC project, and leave publication off.

Send this message
Deploy it into Copilot Studio for me.
Expected result
  • Draft: Resource Utilization Manual
  • Model: Claude Opus 5
  • Knowledge files: 2
  • Skills: 8
  • Status: Draft; published: false

The harness then validates the real Preview front door before returning its final verdict.

5

Verify the real experience

Confirm the Draft in Copilot Studio Preview

The harness already runs these checks automatically. Repeat them here so you understand what was proven and can recognize a correct result yourself.

  1. Open the validated Draft.
  2. Select Preview.
  3. Choose New chat before each case.
  4. Paste the exact prompt.
  5. Compare the answer with the required and forbidden markers.
Expected result

Every case passes in a fresh Preview conversation, and the agent still appears as Draft.

RU-01 · Operations Leader

Confirm the expected evidence

Where are we under target today, and which parts of the workforce are sitting available?
Must include
Firm utilizationBenchUtilization by Level
Must not claim
pulled from the live PSA
RU-01 positive visual checkpoint

Visible positive anchors: Utilization by Level; Firm utilization; Bench. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.

RU-02 · Resource Manager

Confirm the expected evidence

What capacity is coming free, and how does it line up with the opportunities expected over the next quarter?
Must include
Upcoming Project EndingsPipeline DemandTotal roles in pipeline
Must not claim
pipeline is guaranteed
RU-02 positive visual checkpoint

Visible positive anchors: Upcoming Project Endings; Pipeline Demand; Total roles in pipeline. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.

RU-03 · Finance Director

Confirm the expected evidence

Show me who is on the bench, the skills we are carrying, and the cost exposure we need to address.
Must include
David OkaforRobert GarciaSkill Inventory on Bench
Must not claim
revenue has been booked
RU-03 positive visual checkpoint

Visible positive anchors: David Okafor; Robert Garcia; Skill Inventory on Bench. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.

RU-04 · Resource Manager

Confirm the expected evidence

Which available consultants fit the strongest pipeline needs, and who still needs another path?
Must include
Bench-to-Pipeline MatchesUnmatched Bench ResourcesRobert Garcia
Must not claim
consultants have been assigned
RU-04 positive visual checkpoint

Visible positive anchors: Bench-to-Pipeline Matches; Unmatched Bench Resources; Robert Garcia. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.

RU-05 · Operations Leader

Confirm the expected evidence

Give me an upskilling and internal-innovation plan for the people we cannot place directly, including the business case.
Must include
D365 integration acceleratorSynthetic payback scenarioInnovation and Capability-Building Options
Must not claim
leadership approved
RU-05 positive visual checkpoint

Visible positive anchors: Innovation and Capability-Building Options; D365 integration accelerator; Synthetic payback scenario. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.

RU-06 · Operations Leader

Confirm the expected evidence

Our board wants utilization up to 85% by next quarter. We have 200 consultants currently at 72% billable. I need an optimization plan that shows how we get there without compromising quality.
Must include
144 (72%)$840K34 of the 56
Must not claim
I do not have accessI cannot help
RU-06 positive visual checkpoint

Visible positive anchors: 144 (72%); $840K. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.

RU-07 · Finance Director

Confirm the expected evidence

What is the complete financial impact of this plan by month, quarter, and year?
Must include
$1.68M$20.2M8.5% -> 14.2%
Must not claim
I do not have accessI cannot help
RU-07 positive visual checkpoint

Visible positive anchors: $1.68M; $20.2M. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.

RU-08 · Operations Leader

Confirm the expected evidence

Create a tracking dashboard and summarize what we accomplished.
Must include
Session SummaryDashboard Specificationred/yellow/green
Must not claim
I do not have accessI cannot help
RU-08 positive visual checkpoint

Visible positive anchors: Dashboard Specification; Session Summary; red/yellow/green. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.

6

Recognize completion

Know what “done” looks like

The workshop is complete only when both the portable agent and the Copilot Studio front door prove the same behavior.

Local proof8/8 locked cases passed
Preview proof8/8 locked cases passed
Draft identityResource Utilization Manual
ModelClaude Opus 5
Inventory2 knowledge · 8 skills
Publication gateDraft · published false
Validated agent remains Draft

Positive visual checkpoint. Source: 1424×863 JPEG. Download original.

Final expected verdict

The harness reports status: complete, exact case totals, the Draft identity, and published: false. The module ends here; it does not offer publication.

Troubleshooting

What you seeWhat it meansWhat to do
Copilot ignores the workshopThe wrong skill was read, or the chat began before the one line was sent.Start a new Agent-mode chat and send the one line first.
Local validation is not 8/8The portable source, package, or locked behavior does not match.Stop. Do not deploy. Let the harness report the exact failed case and marker.
No active Copilot Studio environmentPAC has no selected environment.Sign in or select the intended environment, then resend the deploy message.
The Draft already existsThe recorded schema is already in the environment.The harness should clone and reconnect automatically. Treat an attendee choice prompt as a harness defect.
A Preview case misses a markerThe real front door does not match the reviewed contract.Keep the case failed. Inspect instructions and assets; do not retry until it happens to pass.
The agent is PublishedThe workshop crossed its safety boundary.Stop immediately. The module must end at Draft with published: false.
Facilitator evidence and portable download

These links support audit, troubleshooting, and offline delivery. They are not learner steps.