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PCI AIProject Controls
Institute Global, Inc.
Global Standards & Certification Body for Project Professionals
Certifications

Recertification.

PCL-AI stays meaningful because it stays current — renewed each cycle through continuing development, including AI currency.

Overview

A credential earned once and never refreshed loses value as practice and technology move on. Recertification keeps every PCI credential a credible, current signal of capability by requiring certified professionals to keep developing over a defined cycle.

Certification is a statement about current competence, not a one-off achievement, so it is maintained rather than awarded for life. The recertification cycle asks you to stay active in the discipline and to keep your knowledge current — particularly as AI tools and governance expectations evolve faster than any single exam can capture.

The requirement is designed to be achievable through normal professional practice and continuing development, not to create busywork. Keeping the credential valid signals to employers and clients that your competence — including how you govern AI in your work — is up to date, not frozen at the moment you first passed.

At a glance

Why
Keeps the credential current
Cycle
A defined recertification period
Requirement
Continuing professional development
AI currency
A deliberate, required element
Assurance
CPD may be audited on a sample basis

The recertification cycle

Certification is maintained over a defined cycle through ongoing professional development. The required hours, eligible activities and cycle length will be published with the recertification rules before the first renewals are due.

AI currency

Because the credential covers AI-enabled project controls, recertification includes a deliberate AI-currency element so holders keep pace with responsible use and governance, consistent with the AI ethics standard.

If requirements are not met

Support and remediation come first; only then is certification status affected, fairly and transparently. Lapsing and reinstatement follow the certification lifecycle.

Why it matters

Current means credible.

Employers trust a credential that proves capability today — not just on exam day. Recertification is how PCL-AI keeps earning that trust.

The recertification cycle

A credential stays meaningful only if it stays current. Recertification keeps competence — including AI currency — up to date on a defined cycle.

1

Maintain

Log continuing professional development as you work.

2

Stay current

Keep pace with how AI is changing the discipline.

3

Renew

Recertify on a defined cycle to confirm competence.

4

Reinstate

A clear route back if a credential lapses.

Common questions

What is the recertification / renewal fee?

The recertification / renewal fee is USD 99 per three-year renewal cycle, subject to applicable PCI renewal and membership requirements. Keeping membership active may be required to maintain access to member resources and applicable credential services.

How much CPD will recertification require?

The required hours and activities will be published with the recertification rules before any holder reaches renewal.

What happens if my credential lapses?

Defined reinstatement routes apply, set out in the certification lifecycle.

Is AI currency really required?

Yes — it is a deliberate part of recertification, reflecting the credential's AI focus.

Founding-stage document · Version 1.0 — effective date to be confirmed · Reviewed under PCI governance. PCI makes no claims of accreditation or recognition beyond what is true today.

Practical record-keeping

Build a CPD record that stands up to audit

The most common CPD failure is not doing too little development — it is doing plenty and being unable to evidence it at renewal. Treat your record as a live document you maintain through the cycle, not a year-end reconstruction from memory.

Log as you go

Record each activity within days: what it was, when it happened, and roughly how long it took. Entries reconstructed at renewal are the ones most likely to struggle under an audit sample.

Keep proportionate evidence

Certificates for formal learning; agendas or notes for informal learning; for on-the-job development, a short description of the work with anything commercially sensitive removed.

Write the “so what”

One or two sentences on what changed in your practice as a result. This is what makes an entry credible — and what keeps any audit conversation short.

The CPD framework sets out how development is structured, and CPD submission explains how records are lodged when your renewal falls due.

AI currency

Keeping AI currency genuine

AI currency is not a certificate of attendance. It is the ability to defend an AI-assisted number today — to explain what a tool produced, what you checked, and why you accepted or overrode it. When the recertification rules publish the eligible activities, expect them to favour evidence of use and judgement over passive consumption.

While the rules are being finalised, the useful preparation is the same as good practice itself:

  • Structured learning about how the tools you use behave — their limits and failure modes, not just their features
  • Applying a governed AI workflow on live work, with named human-verification checkpoints consistent with the responsible AI framework
  • Contributing to internal review or assurance of AI-assisted outputs, in line with the human oversight principle
  • Keeping short notes on cases where you overrode or corrected an AI-generated output, and why

Practitioners who work this way will find the AI-currency element largely records what they already do.

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