Earned Value Management.
One method to compare planned work, completed work and actual cost.
Overview
Earned value management compares what you planned to achieve, what you actually achieved, and what it cost — turning schedule and cost into a single, early picture of performance through indices like CPI and SPI.
What this area covers
Why it matters
This is a core part of the PCL-AI body of knowledge — assessed as part of the credential and applied on real projects. It connects to the wider discipline and, increasingly, to responsible AI use, so professionals can demonstrate the integrated judgement PCI certifications assess.
Taught, then tested.
Every knowledge area maps to the examination blueprint and is assessed through realistic, scenario-based questions — not rote recall. Explore the full body of knowledge or the certification roadmap.
Common questions
Is this part of the PCI examinations?
Yes — this is one of the knowledge areas assessed in the PCI examinations. The exam is built from the published examination blueprint, which samples the thirteen Body of Knowledge domains at their published weighting — 40 % project accounting & finance, 40 % project management principles and 20 % AI knowledge & practical approach — so each area, including the governed use of AI, is tested as part of an integrated whole rather than in isolation. The emphasis is on applying it with judgement in realistic project scenarios, not on reciting definitions.
Do I need prior expertise?
No prior expertise is needed to get involved or to begin preparing. For certification specifically, the entry requirement is around three years of relevant professional experience in any field rather than a particular qualification — the aim is to keep the credential open to capable people from many backgrounds. What matters is your ability to meet the standard the assessment sets, which you can work towards at your own pace.
How does AI fit in?
AI runs through everything PCI certifies, but always under the principle at the heart of the standard: AI proposes, the professional disposes. AI governance is treated as a competency in its own right, and the responsible use of AI is woven through the other competencies too. The point is not to use AI for its own sake, but to use it well — validating, explaining and owning AI-assisted outputs so that accountability stays with a competent human.
Why this matters
This matters because a credential earns its value from substance, not marketing — clear standards, fair process, transparent governance and honesty about status. Everything in the institute's resources is written to that test: genuinely useful to professionals and employers, and never claiming more than is true today.
PCI builds in the open. That means being candid about what is in place and what is still developing, refusing to publish invented data or figures it cannot stand behind, and letting the community shape what gets prioritised. Trust, earned this way, is harder to lose.
- Substance over marketing
- Fair, transparent process
- Honesty about our status
- Responsible, governed use of AI
Earning rules: where EVM is won or lost
Every index inherits the decisions made when the performance measurement baseline is built — above all the earning rules that govern how each work package claims progress. Chosen well, earned value is an early-warning system; chosen lazily, it is an elaborate way of agreeing with yourself.
Discrete work
Use 0/100 for activities finishing within one reporting period, 50/50 for those spanning two, and weighted milestones for long deliverables such as design packages — with the weights fixed before work starts, not negotiated afterwards.
Repetitive work
Units complete suits piling, welds, cable pulls and other countable physical work. It removes percent-complete arguments, but only if the budgeted unit rates were realistic — so audit them.
Support work
Apportion inspection-type effort to the account it supports. Keep level of effort to a minimum and out of schedule-variance analysis: LOE always earns exactly to plan, so it dilutes the SPI signal.
Two further disciplines keep the data honest. Size control accounts so a variance points to one owner and a probable cause. And record actual cost on the same basis that value is earned — accrue for lagging invoices — or CPI will whipsaw from period to period for reasons that have nothing to do with performance.