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Agent · Program Pulse

Every team reported green. The work said ten days late.

Program Pulse reads the tracker, pull requests, calendars and dependencies instead of the status reports. It finds the milestones that will slip, says why, and tells the program manager whom to ask this week, before an executive has to step in.

Data sheet (PDF)

The real world

  1. Status meeting

    Everyone reports green

    Each team reports on its own work, and its own work does look fine. No one is asked about the hand-offs between teams.

  2. Week 2

    The blocker is in a comment

    "Waiting on legal review of the card vault contract." "We’ll pick this up after the migration." Each one is written down, on a ticket nobody outside the team reads.

  3. Week 3

    The board says done

    An epic is closed so the board looks right, with three bugs still open under it. The burndown stays green.

  4. Two weeks out

    The slip surfaces

    The first team that depends on the others finds it cannot start. Every downstream date moves at once.

  5. Launch review

    An executive steps in

    The date is now decided in an escalation meeting, with less time and fewer options than there were three weeks earlier.

Watch it work

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What it’s worth

On the fictional Northwind program, the agent finds a ten-day launch slip that every status report missed; the cost of that delay is the money leadership is asked to act on, and the asks it drafts win most of those days back if people take them.

$499K
Cost of delay at risk: 10 days late × $49,863 a day (checkout’s $455M a year ÷ 365 × a 4% conversion uplift from saved payment methods). Exposure, not a saving.
$70K
A year in program manager time: 468 hours of status meetings, chasing and write-ups (5 teams × 2 h a week, less 1 h to check the brief, 52 weeks, $150 an hour).
8 days
Recovered if the asks are taken ($399K, conditional, not counted as a saving): legal expedites the contract review, added scope is deferred, identity starts now. Two days still need a leadership decision.

Compared

Tracker dashboards and engineering analytics tools already chart the work. Here is what each does, and where an agent adds something new. In every column, people make the final call.

What it doesBy handTracker dashboardsEngineering analyticsProgram Pulse
Forecasts each milestone from points and velocity, through its dependenciesPartlyspreadsheetsPartlyper team, not across teamsYesYesa calculation you can check
Reads blockers written in ticket commentsYesif someone reads them allNoNoYes
Spots an epic closed with bugs still open under itPartlyNoPartlyYes
Checks calendars: an owner out on the due datePartlyNoNoYes
Recommends one ask per milestone: push, reassign, cut scope or escalateYesa program managerNoNoYesthe same rules every week
Drafts the message to each team leadYesNoNoYesthe program manager sends it
Prices the delay in dollarsNoNoNoYes
Decides dates, scope and peopleYespeopleYespeopleYespeopleYespeople

● Yes◐ Partly— No

People’s hours a year, five teams

  • By hand780 h · $117K
  • Dashboards and people572 h · $86K
  • Agent and people143 h · $21K

82% fewer hours than by hand, and 75% fewer than with dashboards and people: 637 hours, about $96K.

See the hours by activity, and how each is reached
ActivityBy handDashboards and peopleAgent and people
Status meetings and chasing5 teams at 2 h a week by hand; dashboards save some of the asking, about 1.5 h. Agent: 1 h a week to check its brief.520 h390 h52 h
Forecast the milestonesAgent: the same calculation every week, shown with its inputs.104 h52 h13 h
Draft the asksAgent: one draft per milestone for the program manager to edit or drop.52 h52 h13 h
Write the leadership briefAgent: one page with the decisions needed.52 h26 h13 h
DecideThe same in every column: 1 h a week of people deciding.52 h52 h52 h
Total780 h572 h143 h

Estimates for the fictional Northwind Outfitters at an assumed $150 an hour, on the same assumptions as the business case above. Categories, not products: individual tools vary. Verify against your own environment.

How it works

  1. Read

    The work, not the report

    Tickets, points, epics and comments from your tracker; reviews and checks from your repositories; out of office and holidays from team calendars; velocity from past sprints.

  2. Forecast

    Points left, at the pace the team keeps

    Plain code divides each milestone’s open points by the team’s recent velocity, then pushes every forecast through its dependencies. The forecast is compared with the due date and with what the team reported.

  3. Blockers

    What the data shows, and what only reading shows

    Rules catch a late dependency, an owner out of office on the due date, reviews waiting more than three days, tickets untouched for a week, and scope added after the commit. The agent reads the comments for waits on other teams and work parked behind something else, and notices an epic closed with bugs still open.

  4. Recommend

    One ask per milestone

    Push, Reassign, Cut scope or Escalate, by the same rules every week. Escalate only when someone above the team has to decide a date, scope or people.

  5. Draft

    The ask, ready to send

    A short paragraph to each team lead, saying what the work shows and what would help. The program manager edits it, sends it or drops it.

  6. Brief

    One page for leadership

    Status in one line, the decisions needed, the pushes this week, and the forecast with and without the asks.

Where it runs

In your environment
Next to your tracker, repositories and calendars, with read-only access.
Your plan
Milestones, due dates and dependencies are yours; the agent forecasts against them and never edits them.
Into your tools
Asks as drafts in chat or email, the brief where leadership reads it.
People decide
Every ask is a draft until the program manager sends it. Every date, scope and staffing call stays with the people who own it.

On your data

The demonstration above runs on a fictional company’s program. On yours, the agent connects to your tracker, repositories and calendars, inside your environment. Design partners can pilot it on a live program.

The engagement

Program PulseConnected in 1 week, then every week

  1. 1 · Week 1

    Connect

    Agents
    Read the tracker, repositories and team calendars.
    Our people
    Deploy, and backtest the forecast on last quarter’s milestones.
    Your people
    Grant access and confirm the milestones.
  2. 2 · Week 2

    Forecast

    Agents
    Forecast every milestone, find the blockers, draft the asks.
    Our people
    Review with your program lead; first leadership brief.
    Your people
    Approve the plan of record.
  3. 3 · Every week

    Run

    Agents
    Refresh the forecast and draft the asks.
    Our people
    Our program manager sends the asks and escalates only the decisions.
    Your people
    Team leads act on them.
  4. 4 · From month 2

    Hand over and watch

    Agents
    Keep running.
    Our people
    Train your program managers; check forecast accuracy monthly.
    Your people
    Own the cadence.

What agents don’t speed up: Decisions on dates, scope and people. The agent shows them early; leadership still makes them.

What you keep

Forecast model
Plain, checkable math with its inputs.
Weekly program brief
Decisions needed, pushes this week, cost of delay.
Blocker log
Each blocker with the comment it came from.
Program runbook
Who is asked, when, and by whom.
Accuracy record
Every verdict and every override, logged. Planted-answer scores on every run.

Questions

Does it replace status meetings?

No. It changes what they are for. The meeting starts from what the work shows, and spends its time on the few milestones that need a decision.

How accurate is a forecast from points and velocity?

As accurate as the points. It is a plain calculation that anyone can check, shown with its inputs. Its value is that it is the same calculation every week, for every team, and it does not depend on anyone’s mood in the meeting.

Will it contact our teams directly?

Not unless you choose that. By default every ask is a draft for the program manager, who decides what to send and to whom.

What does the agent read that plain code cannot?

Ticket and epic comments: a wait on another department, work parked behind a migration, an epic closed with open bugs. Each one is shown with the quote it came from, so a person can check it.

Next step