A defined-fee, fast-turnaround engineering opinion that a developer, lender, or PE acquirer can buy without waiting for a custom scope.
Why this offering, why now
The buyer side is funded and moving. Trimble agreed to acquire Document Crunch in April 2026. Document Crunch’s AI contract and spec analysis was already running on 10,000+ construction projects before the deal closed (Trimble press release, April 2, 2026). PermitFlow raised a $54M Series B in December 2025, led by Accel with Kleiner Perkins, Felicis, and Y Combinator. The product runs on a 12M-point municipal dataset. Endra AI raised $20M in December 2025 to compress a 500,000 sq ft electrical system design from two months to under a day (Fortune, December 18, 2025). Capital is pricing in fast, defined-scope engineering opinions as a category.
Municipal AI plan-review is live in named US markets. CivCheck took Honolulu’s permit pre-screening queue from six months to seven days, and per-application review from 60–90 minutes to 15–20 minutes after a December 2025 deployment. AI Home Building’s May 2026 reporting names Los Angeles, Austin, Seattle, Honolulu, and Lancaster as cities now running AI-augmented plan review. When the public side of the work compresses by an order of magnitude, the private-side opinion that goes with it gets priced against the new clock.
No US mid-market engineering firm has put a productized due-diligence offering on its services page under a defined fee yet. Thornton Tomasetti (about 2,000 staff) spun out T2D2, a structural-monitoring SaaS, from its in-house CORE Studio incubator. Barge Design Solutions (650+ staff, Nashville) built an internal AI assistant for Health and Safety Plans (HaSP) that cut creation time from 8–10 hours to 10–15 minutes (BD+C, March 2026). Both sit well above the mid-market range, and neither matches what this offering describes. For a firm in that range with depth in a defined market, the position is open.
What it is
A productized due-diligence offering is a single, named engineering assessment a buyer can request, price, and schedule the same way a buyer requests a Phase I ESA today. The firm states the scope, the turnaround, and the fee. The deliverable is the firm’s sealed opinion on a specific deal-stage question: can this site carry this program, what does this MEP load actually look like. One question, one sealed answer.
AI handles the production layer that used to anchor the fee: document parsing, code checks, comparable lookup. Senior engineers stay on what AI can’t carry, which is the judgment, the risk call, and the signature. The work compresses without the value compressing with it, because the buyer isn’t paying for the document review. The buyer is paying for the call.
The packaging is what changes. Hourly work becomes a named offering with a defined entry fee, a stated turnaround, a stated set of inputs the buyer provides, and a stated output the buyer receives. The firm gets a repeatable line of business that doesn’t depend on a custom proposal cycle for every deal.
Who buys it
Developer, owner’s representative, lender, or PE acquirer running deal-stage diligence on a project where engineering sign-off is on the critical path.
A specific deal is in the diligence window, the timeline is tight, and the buyer has already seen AI plan review collapse the public-side queue in the same market. The buyer wants a fixed price and a 7–14 day calendar commitment, not a custom scope conversation that takes longer than the diligence period.
What the firm gains
- Predictable revenue per engagement, separated from utilization math and the gap between target and actual chargeability (Zweig Group 2026: gap widened from 2.9% to 4.0%).
- Faster sales cycle. Named scope and a posted fee shorten the proposal stage and let the firm respond to inbound the same week the developer asks.
- Margin protection while AI compresses production hours. Hourly firms doing the same work lose fee dollar-for-dollar as the hours fall. A defined-fee package holds the price the buyer agreed to.
- Capacity multiplier on senior judgment. AI absorbs the document and code-check layer; senior engineers stay on the risk call, the limits of the analysis, and the signature.
Why a mid-market firm can win this
A firm at this scale has the structural advantage here. Vendor platforms can compress the document layer, but they can’t seal an opinion. Mega-firms can seal opinions but rarely package the work as a productized, defined-fee offering at the entry stage of a deal; their fee base sits on multi-year project pursuits. A mid-market practice with deep knowledge of a specific market (data-center site selection in a named region, healthcare retrofit, water-system upgrade, brownfield close) is the right size to define the offering, price it, and deliver it on a defined calendar. The competitive position is open: the buyer is asking, the vendor layer is funded, and no peer has shipped the offering yet.
What it takes to design properly
- Which deal-stage question does the offering answer, and for which buyer? The package is sharper when the firm commits to one answer per offering (site feasibility, structural retrofit, MEP load capacity) rather than a generic “due-diligence” bundle.
- What stays human, what runs on AI, and where does the firm draw the liability line? The Workshop is where the firm specifies which steps the AI runs, what review the senior engineer signs against, and how the engagement contract treats the AI-produced inputs.
- What turnaround can the firm actually commit to without overrunning the senior engineer’s calendar? 7–14 days is the buyer-side expectation now that AI plan-review markets are live. The firm’s answer is a delivery model decision, not a marketing promise.
- What is the priced entry point, what is the upsell into a full design or remediation engagement, and how does the offering connect to the firm’s existing project pipeline rather than competing with it?
These are the decisions the Workshop helps engineering firms answer for their specific firm. You leave with the offering specified end to end and ready to test with a named client.
$15,000
Fixed fee. A full day with your senior team. 2–3 new offerings your team or an implementation partner builds and tests.
Book a Conversation30 minutes with Shawn Yeager. No pitch.