Most Gen AI pilots fail at intake, not at build. The wrong initiative gets funded and the portfolio never adds up for finance. PUSH is the two-hour qualification we run on your initiative list before any team opens a repo. Five dimensions, one pass, one verdict per bet.
Most AI workshops teach teams how to build. PUSH decides what is worth building this quarter, before a pod opens a repo.
Most programmes we work with have more AI ideas than engineering weeks. The harder problem is one layer up: which of those ideas earn a quarter of pod time, and which should be killed in week one. PUSH is that screen, applied to your own pipeline. We have run it across seven industries from BFSI to public sector.
Each dimension constrains the next. The visual on the left tracks the dimension you're on.
Every initiative has to move a number the CFO will defend: P&L, customer, or operating model. We size each one against your own metrics first. A bet with no measurable line dies in the next budget review.
Once the outcome is real, the architecture question follows. Which platforms it rides on, what is net new versus reused, what is a managed service versus a build. Most initiatives shrink at this dimension, not grow.
Technical readiness means nothing if the data is not there. The data has to exist, be clean enough, be in a format the model can consume, and be governed for GDPR, EU AI Act, and sector residency rules. A lot of initiatives stop here and become a data programme first.
Internal-only AI builds succeed around twenty-two percent of the time. Specialist-partner builds land closer to sixty-seven percent (MIT NANDA, 2025). The dimension is honest about where the team is, which roles it needs, and whether a delivery partner earns a seat on the initiative or not.
A pilot that runs clean on a slide is not yet an AI programme. The initiative has to pencil at production scale, with the unit economics the business actually runs on, a payback window finance will recognise, and a TCO the board can sign off on in one read.
A scored matrix: every initiative on one axis, all five dimensions on the other, one short rationale per bet.
Each initiative gets a pass, a fund-later, or a kill call, backed by the dimensions that drove the verdict.
Every initiative scored on all five dimensions
Pass, fund-later, or kill verdict per bet
Written rationale tied to each score
One shared axis across finance, engineering, and the board
An ordered roadmap of the bets that passed, sized against pod capacity and dependency. Initiatives that clear the path for others ship first.
Readable by finance, engineering, and the board without translation.
Sequenced by dependency, not preference
Sized against engineering capacity
Readable by finance, engineering, and the board
Tied to AWS platforms per phase
The framework itself, with the worked examples from your session, so the team keeps qualifying new ideas after we leave.
Retained whether we run the next engagement or not.
Full scoring rubric
Worked examples from your session
Retained across team changes
Usable without us
The solution architect running your qualification is the same one who would lead the engagement if you choose to build afterwards. PUSH has been applied on real AI pipelines at Santander, HSBC, and NHS Wales, across financial services, healthcare, and the public sector.
A leading premium wildlife stock footage platform built agentic AI inside their content pipeline with the orchestration layer in their AWS account.
Read use case →A regional agricultural cooperative in the U.S. Midwest deployed production AI with the controls documented and the platform running in their account.
Read use case →Award-winning LMS provider for enterprises and mid-size organizations modernized a regulated edtech platform with delivery the C-Suite could brief the board on.
Read use case →One of the largest cinema networks in the U.S. integrated AI on Connect with per-tool allow-lists and audit trails ready for live regulator review.
Read use case →SMS campaign automation platform for e-commerce and restaurant brands shipped agentic AI on the data layer with the orchestration layer running inside their AWS account.
Read use case →Pick a slot that works for your team. We confirm the initiative list ahead of the session, you bring the pipeline you want qualified, and whatever we produce is yours to keep, whether you engage us afterwards or not.
NO COMMITMENT . NO SALES FOLLOW-UP UNLESS YOU ASK . YOU OWN THE PORTFOLIO
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