Moat.
Speed.
Allocation.
The platform moat that survives 2028 is being chosen this year.
This briefing tells you which platform moats survive 2028 in industrial process as AI rewrites build economics. Read it before your R&D allocation locks for the decade.
The 10-page briefing. Worth 20 minutes.
One email. One PDF. Worth twenty minutes of your week.
We send it once. Work emails only.
Monday 9:30, digital-platform review. Aspen AI assistant adoption at sixty-eight percent. Feasibility-study drafting time down thirty-two percent. Project margin flat. Your VP Engineering opens with the dashboard. He is mid-sentence when your phone buzzes. The CTO at your largest specialty-chemicals client, a fourteen-year account: "We're inviting three firms to quote the next plant-expansion feasibility study, including a digital-engineering shop we met at ACHEMA." Your most senior unit-operations engineer retires in fourteen months. His reasoning on that client's reactor geometry has never been captured.
You are not running one R&D budget. You are running two, and only one is on your scorecard. One funds the Aspen AI assistant seats your engineers already use. The other funds what has to exist by 2028: the reasoning your three most senior engineers take with them when they retire, the correlation library no simulator vendor ships, the client-project archive your firm owns the rights to.
The moat that matters in 2028 is not inside the simulation licence. It is underneath it.
This is the question your CEO is already asking. The briefing below is what you want in your hand before the next digital-platform review.
Engineering Throughput. Product Defensibility. Capital Allocation.
Three questions every process-consultancy Head of Digital is tracking. The third is the crux. The first two are how you earn the right to answer it.
Is our AI-copilot speed shipping hazop-defensible engineering, or drafts that fail plant walk-down?
Aspen AI assistant adoption at sixty-eight percent. Drafting time down thirty-two percent. Project margin flat. The correlation reasoning behind AI-drafted PFDs never gets written down. Buy what the simulator vendors can carry. Own the review discipline that makes engineering ship past a senior challenge.
What does our firm ship that a digital-native at forty percent of our fee cannot copy?
Your engineering-hours edge commoditises every eighteen months as simulator AI adds the next capability. Your correlation library and client-project archive compound. Your unit-operations reasoning sits in three senior engineers' heads, and two retire inside twenty-four months.
Is our digital-platform budget one instrument or two?
Plateau capital buys simulator AI-assistant seats at lower unit cost. Compounding capital builds the 2028 capture moat. On one hurdle rate the first wins every quarter. On one scorecard the second does not exist. The Head of Digital who walks in with one budget runs the same programme every peer is running.
What you get when you download
An 11-page report for CTOs, CPOs, and Heads of Digital at mid-market European industrial-process consultancies. Designed to be read in one sitting before your next digital-platform review.
Your industry, your digital-engineering function, and why they are one problem
What is happening to mid-market process advisory: digital-native shops at forty percent of rate card, simulator AI commoditising the drafting layer, and fixed-fee feasibility-study quotes landing in your longest-running accounts. What is happening inside your function: Aspen AI adoption up, project margin flat, the board AI-strategy ownership list your seat is not on. And the intersection: same force, two altitudes, one problem.
Four moves across build engine, platform and data, product thesis, and R&D bench
Instrument review depth per PFD, not just drafting time, with correlation-set documentation mandatory on AI-drafted outputs. Build the capture moat underneath the simulator layer through senior reasoning capture, a hardened correlation library, and renegotiated client data rights. Stand one fixed-fee line on protected P&L. Rebuild the junior pathway around senior and agent pairing during the capture workstream.
Five questions for your next digital-platform review
Is your digital-platform budget one instrument or two, and what is the kill criterion on each? Name the three digital-native process-advisory shops quoting in your book. How many months to reconstruct correlation-set reasoning if your three senior engineers retired? Where did the Aspen AI assistant freed hours go? Is your Q1 boundary agreement with the CEO written?
Calibrated for each seat at the table.