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TeamStation AI / Executive decisions

Match AI delivery commitments to real capacity

AI capacity planning checks whether available engineering, review, and support time can cover the committed workload. Budget scenarios should use the actual role and seat plan, not an invented salary range or assumed productivity gain.

Review the decision guide
At a glance
  1. Measure demand

    Include delivery, review, incidents and ongoing support.

  2. Find the constraint

    Check available coverage and blocked dependencies.

  3. Price the scenario

    Use the actual role-based seat plan and separate non-seat costs.

How it works

A budget buys seats, not unlimited throughput

Scroll sideways to see the whole diagram. The same steps are written out below.

A budget buys seats, not unlimited throughput
Measure demand

Include delivery, review, incidents and ongoing support.

Delivery demand

Prioritized work, dependencies, and acceptance requirements.

Delivery owner
Available coverage

Role availability, review load, support, leave, and training.

Every paid hour is not feature delivery time.
Find the constraint

Check available coverage and blocked dependencies.

Illustrative scenario / not a client result

More implementation capacity, the same review queue

A delivery team can complete changes faster than a domain expert can review them. The backlog is growing, but adding another implementation seat could increase waiting rather than increase accepted work. The capacity decision depends on the constrained stage, not just total engineering headcount.

Price the scenario

Use the actual role-based seat plan and separate non-seat costs.

Monthly seat budget
Saved role, level, market, seat count, and duration from the capacity planner.A planning estimate is not a signed price or demonstrated savings.
Non-seat costs
Provider, infrastructure, integration, and operating costs recorded separately.Engineering seat totals do not include every project cost.

This page does not calculate prices. The linked planner supplies seat estimates; final terms require an approved offer. No AWS commitment eligibility or savings follows from a capacity scenario.

The problem

Seat count isn't available delivery capacity. Support, leave, training, and messy dependencies consume the time a roadmap assumes is free. The CTO needs a workload view, not just a hiring total.

Test the commitment before adding seats

Demand

Separate new delivery from incidents, review, and operating work.

Owner: Delivery owner

Constraint

Find the role or dependency that limits completion, not just the busiest person.

Owner: Engineering lead

Budget

Compare explicit role, level, market, seat, and duration scenarios.

Owner: Finance and engineering owners

If the role mix is still unclear, resolve responsibilities and seniority before comparing seat totals. Define the team roles.

Illustrative scenario / not a client result

More implementation capacity, the same review queue

A delivery team can complete changes faster than a domain expert can review them. The backlog is growing, but adding another implementation seat could increase waiting rather than increase accepted work. The capacity decision depends on the constrained stage, not just total engineering headcount.

Reduce work in progress
Finish and review fewer items at once before starting more implementation.
Increase review coverage
Allocate qualified reviewer time and improve the evidence supplied for each decision.
Add an engineering seat
Add implementation capacity only when review, dependencies and support can absorb the work.

The decision: Compare accepted work, review waiting and rework over a stated period. Price each seat scenario with the TeamStation calculator, keeping its selected roles and assumptions. Record cloud usage and other project costs separately without double-counting items already included in the managed seat.

Put the plan into practice

  1. Step 1Describe the committed work and the skills needed to complete and review it.
  2. Step 2Record available coverage after existing support and other obligations.
  3. Step 3Test a reduced scope, a changed sequence, and an additional-seat scenario against the same constraint.
  4. Step 4Use the existing capacity planner for the seat estimate, then validate assumptions and final commercial terms.

Once the role mix is explicit, calculate the monthly seat estimate in the existing planner. Open the TeamStation capacity planner.

Capacity scenario record

NIST includes the costs of system behavior and errors. NIST AI RMF 1.0 (2023), MAP 3.2.

TeamStation planning worksheet informed by the cited reference, not a customer result, certification, or completed assessment.

  1. Scenario inputDelivery demand
    Evidence requiredPrioritized work, dependencies, and acceptance requirements.
    What not to assumeA backlog count is not a reliable effort estimate.
  2. Scenario inputAvailable coverage
    Evidence requiredRole availability, review load, support, leave, and training.
    What not to assumeEvery paid hour is not feature delivery time.
  3. Scenario inputMonthly seat budget
    Evidence requiredSaved role, level, market, seat count, and duration from the capacity planner.
    What not to assumeA planning estimate is not a signed price or demonstrated savings.
  4. Scenario inputNon-seat costs
    Evidence requiredProvider, infrastructure, integration, and operating costs recorded separately.
    What not to assumeEngineering seat totals do not include every project cost.

What this does not establish

This page does not calculate prices. The linked planner supplies seat estimates; final terms require an approved offer. No AWS commitment eligibility or savings follows from a capacity scenario.

Questions before you commit

How do I calculate the monthly team estimate?

Use the TeamStation capacity planner to select role, level, delivery market, seat count, and duration. It sums the seat estimates; this guide does not substitute its own rates.

Does a seat estimate prove the team can meet a deadline?

No. Validate workload, dependencies, review coverage, support obligations, and actual availability separately. Price and delivery capacity are different decisions.

From planning to delivery

What to scope with TeamStation

Bring the delivery workload, existing support commitments and required role mix. We can use those inputs to scope managed engineering capacity and a monthly seat estimate.

  • A demand and coverage map for delivery, review and support.
  • Alternative scope, sequencing and seat scenarios.
  • A saved calculator scenario with explicit role and monthly-unit assumptions.

This guide contains no alternative pricing formula. The capacity planner provides estimates; final offers, workload feasibility and any AWS commitment eligibility require separate confirmation.

Discuss your delivery scope

Your next decision

Compare delivery demand with engineering, review and support capacity. Build monthly role-based seat estimates without invented savings.

Build a role-based monthly seat estimate