When Portfolio Intake Gets Gamed: How AI Restores Strategic Integrity

Karthick Nethaji Kaleeswaran
Director of Products | Strategy Consultant

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Published Date: April 1, 2026

TL;DR

• Strategic alignment scoring at intake creates a perverse incentive: the higher the weight placed on it, the stronger the motivation to fake it.
• Four gaming patterns show up in almost every intake process after the first planning cycle: objective stretching, keyword alignment, retrospective rationalization, and priority stacking.
• Governance rules can’t stop these patterns because they govern behavior without verifying claims.
• AI-driven validation introduces three mechanisms that do verify claims: strategy suggestion at submission, deviation workflow triggers, and independent alignment scoring during prioritization.
• None of this works unless your strategic objectives are specific and measurable. Vague OKRs produce vague AI scores.

It’s the fourth Wednesday of the quarter. The portfolio committee is reviewing intake submissions. Twelve project requests are on the table. Ten of them are linked to the same strategic objective: “Accelerate Digital Transformation.” Among them: a legacy ERP upgrade, a mobile app refresh, a cybersecurity compliance project, a CRM implementation that the CRO informally approved six weeks ago, and a workflow automation initiative that one team had been planning since last fiscal year.

Every single one has been scored “high” on strategic alignment. The PMO lead knows at least three of these would have been submitted regardless of the strategic framework. The intake form for the CRM project? Completed after the fact. The committee has 90 minutes to make funding recommendations across all twelve.

This is not a broken governance process. Surprised? Confused? Everything is working exactly as designed. That’s the problem.

Why Do People Game the System?

Gaming the alignment process is not a people problem. It’s a design problem.

When strategic alignment becomes a weighted criterion in portfolio prioritization, which is absolutely the right thing to do, you simultaneously create a high-value signal that every rational requestor will try to maximize. The higher the weight, the stronger the incentive.

Three things make this almost inevitable:

1. Funding pressure is real. A department that doesn’t make it into the approved portfolio doesn’t get funded. Strategic alignment scoring is often the difference between an initiative moving forward and being deferred for 18 months. That’s a powerful motivator.

2. The intake form is a blank canvas. Most intake systems ask requestors to select a strategic objective from a dropdown. No system-generated suggestion. No friction. No reference point. The requester controls the selection entirely.

3. PMOs don’t have the bandwidth to audit everything. A team managing 40 to 60 submissions per cycle cannot deep-dive every alignment claim. A well-written narrative that mirrors the language of the strategic framework is effectively indistinguishable from a genuine alignment claim in a manual review.

“We do not know how far beyond human-level intelligence we can go, but we are about to find out.”

Sam Altman , CEO of OpenAI

 

The Four Patterns That Show Up Every Cycle

After the first planning cycle, requestors learn the system. By the second and third, gaming is in full swing. Here’s what it looks like.

Here’s the uncomfortable part: none of these patterns requires bad intent. A department head genuinely may believe their ERP upgrade supports digital transformation. Retrospective rationalization often happens because the sponsor believes the project is right, regardless of process. The system has no mechanism to tell the difference between genuine alignment and asserted alignment.

Why Adding More Governance Rules Doesn’t Fix This

The instinctive response to gaming is more governance: stricter review stages, more sign-offs, better submission guidelines. These are reasonable moves. They don’t solve the problem.

Adding a requirement to justify alignment in writing doesn’t produce accurate alignment claims. It produces accurate-sounding alignment claims. A requester motivated to game the system will write a better justification, not a more honest one.

There’s also a false precision problem. A score of 8.2 feels more definitive than “this seems strategically relevant.” But when the alignment claims feeding that model haven’t been validated, the precision is cosmetic. The committee is making funding decisions on a number that’s only as reliable as the self-reported inputs that produced it.

What AI Validation Actually Does

Rule-based governance governs behavior without verifying claims. AI-driven validation does the opposite: it verifies claims at a scale and consistency no human review panel can match.

Three mechanisms work together to change the dynamic.

A submission in which the requester self-scores a 9 out of 10 on strategic alignment and the AI generates a 4 warrants scrutiny before funding approval, regardless of how polished the narrative is.

One Thing That Makes or Breaks AI Scoring

The AI alignment score is only as good as the strategic outcome it’s comparing against.

If your objective is “Strengthen Digital Capability,” almost any technology project can claim to be aligned. The AI score will reflect that ambiguity.

But if that objective has been deconstructed into a specific, measurable outcome, say, “migrate 70% of customer-facing transactions to digital self-service channels by Q4,” the AI has a precise comparison point. The score becomes genuinely discriminating.

This is the upstream dependency. Vague OKRs produce vague scores. Specific OKRs produce governance-grade signals.

Is Your Intake System Producing Governance?

Three signals consistently indicate gaming is active:

• Intake submissions cluster on two or three objectives regardless of how diverse the actual project pipeline is. If 80% of submissions link to “Digital Transformation,” that’s strategic camouflage, not strategic alignment.
• The distribution of alignment scores is implausibly uniform. If 70% of submissions score “high” alignment, the model is validating, not differentiating.
• PMO reviewers can’t explain why one high-scoring request is more aligned than another. If the score can’t be explained, it can’t be governed.

The Anatomy of a Gamed Intake System vs. AI-Validated Intake

Profit.co’s Strategic PPM platform connects your OKR framework directly to the project intake process. It generates AI-driven alignment suggestions at submission, triggers deviation workflows for anomalous claims, and presents claims vs. AI-scored alignment side by side during portfolio review.

Your governance committee deserves to make funding decisions on substantiated alignment — not asserted alignment.