User scenario

How the agents work together — and with a human

A single morning in Georgetown, TX: six specialist agents hand work between each other overnight, then bring one decision-ready recommendation to a regional VP.

The agent team

Each agent owns a narrow job and defends its own numbers.

Signal Scout
Signal ingestion & detection

Watches permits, migration, real estate, construction and search demand across 1,284 markets.

Azure Data Factory · Event Hubs · Fabric OneLake
Demand Forecaster
Household & revenue modeling

Projects passings, penetration curves, mobile attach and 5-year revenue per neighborhood.

Azure Machine Learning
Fiber Defense Sentinel
Competitive risk

Tracks AT&T Fiber permits, Google Fiber builds, T-Mobile FWA and local ad surges; forecasts revenue at risk.

Azure AI Search · Azure OpenAI
Build Economics Agent
Capex & feasibility

Costs the build, tests cost-per-passing thresholds and sequences construction against crew capacity.

Azure ML · Fabric Lakehouse
Offer Designer
Marketing & retention

Designs acquisition and defensive offers, models churn impact and margin dilution.

Azure OpenAI · Customer Insights
Growth Orchestrator
Reasoning & coordination

Arbitrates between agents, resolves conflicts, writes the recommendation and brings the human in.

Azure AI Foundry · Copilot Studio

The human in the loop

Dana Whitfield
VP, Market Strategy — Central Region

Tuesday, 8:12 AM CT. Dana has $140M of unallocated 2027 build capital and a board review in nine days.

Scenario timeline

Overnight autonomous work, one human conversation, immediate execution.

  1. 02:14Signal Scout
    Detects a converging signal cluster

    Overnight scan picks up 1,940 new single-family permits in Georgetown, TX, a 31% jump in net in-migration, and two AT&T Fiber conduit permits filed with Williamson County.

    Signal cluster GEO-TX-114 raised to high confidence (0.91)
  2. 02:16Signal Scout → Demand Forecaster
    Hands the cluster to modeling

    Scout passes normalized signals and geography boundaries; no human involvement required at this stage.

  3. 02:31Demand Forecaster
    Sizes the opportunity

    Models 14,200 new passings by 2029, 41% expected broadband penetration and 1.6 mobile lines per connected home.

    $58M 5-year revenue · $11.4M mobile attach
  4. 02:33Fiber Defense Sentinel
    Flags a competing build

    Cross-references the same permits against AT&T's regional pattern and predicts a fiber launch in Q1 2027 — roughly 11 months out — putting 6,800 existing households at risk.

    $14M revenue at risk · churn exposure 4.1%
  5. 02:40Build Economics Agent
    Tests whether the build clears the bar

    Prices the build at $780 per passing against a $950 threshold, but finds only one available construction crew in the region for Q3.

    Feasible — but conflicts with the Round Rock build window
  6. 02:41Growth Orchestrator
    Resolves the conflict between agents

    Forecaster wants the full build now; Build Economics says crews are constrained; Sentinel says the clock runs out in 11 months. The Orchestrator proposes a phased build: 6,400 passings in the competitive overlap first, remainder in Q1 2027.

    Recommendation drafted with two alternatives priced
  7. 02:44Offer Designer
    Stages the commercial motion

    Builds an acquisition bundle for new-construction closings and a pre-emptive defensive offer — Gig + 2 mobile lines with a 24-month price lock — for the at-risk footprint.

    Modeled churn impact −58% · margin dilution 3.2%
  8. 08:12Growth Orchestrator → Dana
    Brings the human in, with a decision ready

    A Teams card lands in Dana's morning brief: one recommendation, two priced alternatives, the assumptions behind each, and the specific approval the agent needs.

  9. 08:19Dana Whitfield
    Interrogates the recommendation

    Dana asks why Georgetown outranks Queen Creek, pushes back on the penetration assumption, and asks what happens if AT&T launches a quarter early. Each agent answers with its own evidence and re-runs its model.

  10. 08:26Dana Whitfield
    Approves with a change

    Dana accepts the phased build, moves the defensive offer 60 days earlier than the agent proposed, and holds the Round Rock decision for the regional review.

    Human decision logged to Microsoft Purview with full lineage
  11. 08:27Growth Orchestrator
    Executes the approved plan

    Opens the network planning work item, schedules the offer in the campaign calendar, briefs the Georgetown field team, and generates the board slide and CFO one-pager.

    6 workstream items created · board deck drafted in 40 seconds

Interactive handoff transcript

Step through each handoff: what the agent said, how it changed the shared strategy, and the evidence it cited for the VP.

Handoff transcript · step 1 of 9
Shared strategy — Georgetown, TX

One living plan object every agent reads from and writes to.

Market status
Candidate — cluster GEO-TX-114 (0.91 confidence)
last updated by Signal Scout
Build plan
Unscoped
Revenue case
Not modeled
Competitive risk
Unknown
Commercial motion
None staged
Human decision
Not requested

The 14-minute conversation

How the executive interacts with the agent — in Microsoft Teams, in plain language.

Growth Orchestrator

Good morning Dana. Overnight I moved Georgetown, TX from Watchlist to Priority. Recommendation: phase the build — 6,400 passings in the AT&T overlap by Q3, remainder Q1 2027 — and launch retention offers 90 days before their expected turn-up. $58M five-year opportunity, $14M of existing revenue defended. I need your approval on the phasing and the offer window.

Dana Whitfield

Why Georgetown over Queen Creek? Queen Creek scored higher last month.

Growth Orchestrator

Queen Creek is still a stronger greenfield story, but no competitor is building there — the window stays open. Georgetown has a competitor clock: Fiber Defense Sentinel puts AT&T's launch at Q1 2027 with 0.86 confidence. Deferring Georgetown costs an estimated $9.2M in permanently lost share; deferring Queen Creek costs timing, not share.

Dana Whitfield

Your 41% penetration assumption feels rich for a market where AT&T lands first.

Growth Orchestrator

Fair. Demand Forecaster re-ran it at 34% assuming AT&T is first to market in the overlap: the case holds at $49M with a $980 cost per passing — just above your threshold. If we hit the Q3 window and land first, it returns to 41%. That timing gap is the whole argument for phasing.

Dana Whitfield

Approve the phasing. Move the defensive offer 60 days earlier and hold Round Rock for the regional review.

Growth Orchestrator

Done. Phased build approved, offer window moved to T-minus 150 days, Round Rock parked. I've opened the network work item, briefed the Georgetown field team, and drafted your board slide and CFO one-pager. I'll re-check AT&T permit velocity weekly and alert you if their timeline moves.

Human approval guardrails

What the agents may do alone, and where a named human must sign before anything happens.

GateTrigger thresholdApproverRuleMode
Signal & modelingUnlimitedAutonomousAgents may scan, score and model freely — no customer or capital impact.Autonomous
Capital commitment> $10M capexVP, Market StrategyBuild phasing and crew allocation require a named executive approval before any work item opens.Human approval
Offer & pricingAny price-lock or >2% margin dilutionConsumer Marketing FinanceDefensive offers are staged by the agent and launched only after finance sign-off.Human approval
Customer contactAny outbound to served householdsRetention OpsNo agent-generated message reaches a customer without human review of the audience and terms.Human approval
Assumption overrideAny model input changeRequesting executiveHumans may override any assumption; the original, the override and the rationale are all retained.Logged override
Scope enforcementEvery executed actionPolicy engineExecution is diffed against the approval record — out-of-scope actions are withheld and escalated.Policy enforced
Agents propose, humans decide

No capital, offer, or field commitment is executed without a named human approval.

Every claim is traceable

Each number links back to its source signal, model version, and the agent that produced it.

Challenge, don't just accept

Executives can change assumptions in plain language and the agents re-run in seconds.

Decisions are auditable

Approvals, overrides and rationale are logged in Microsoft Purview with full lineage.

Outcome

Time from signal to approved plan
6 hours
previously 6–9 weeks
Human time invested
14 minutes
one Teams conversation
New revenue committed
$58M
5-year, phased build
Existing revenue defended
$14M
6,800 households
Six agents, one recommendation, one human decision.
Continue the executive walkthrough