Architecture & Engineering
Decisions on schedule, fee margin, design quality, and risk. Sourced. Cited. Always on.
Your team decides. The Decision Engine does the grind.
Even mid-sized projects generate more information than teams can act on fast enough. Answers live in specs, drawing sets, RFIs, submittals, ASIs, markups, contracts, change orders, and meeting notes across every active project. Not even your best people can read every document or email.
The information’s all there. Answers just take too long to find.
The Decision Engine reads the full project record and delivers prioritized answers across the decisions that move schedule, fee margin, design quality, and risk. Sourced. Cited. Always on.
Your team spends less time chasing answers and more time advancing the project.
“Reviewers stopped reading every page and started deciding on the items that mattered. Cycle time dropped and quality improved.”
— Director of Construction Administration, regional architecture firm
Decision Engine for Architecture & Engineering
The Decision Engine plugs into the systems your projects already run on: Revit, ACC, Bluebeam, Newforma, Deltek, and the file systems where the rest of the record lives.
It reads spec packages, drawing sets, RFIs, submittals, ASIs, contracts, change orders, fee proposals, project work plans, and more. Then it checks each project against the standards your firm already uses and shows where schedule, fee margin, design quality, or risk is moving in the wrong direction. Your team decides.
Integrates
Securely with the systems your firm runs on
Analyzes
Using multiple AI models, ML, and best-fit tools
Synthesizes
Project data into prioritized and traceable answers
Delivers
In the tools your team already works with
Shows
Click findings back to the exact source file and page
Problems Worth Solving
submittal and spec review
Large projects carry hundreds of submittals across tens of thousands of pages, and reviewers can’t read every document in detail.
The Engine compares each submittal against the full project record, mapped to CSI MasterFormat divisions. Discrepancies and gaps get flagged with citations back to the requirement. Reviewers stamp in a fraction of the time with fewer revisions and resubmittals.
Project performance and realization
Fee burn shows up in the review, when the realization is already gone.
The Engine reads time records, schedule progress, phase budgets, staffing plans, and deliverable status from the project record, then surfaces phase-level fee burn against percent complete, staffing mismatches by role and discipline, and profitability variance by phase. Your team intervenes while there’s still fee to protect.
Contract and scope risk
Contracts move fast, and scope drift rarely arrives as a clean change order.
The Engine reviews contract terms, scope obligations, exclusions, and notice requirements, then watches the project record for drift during delivery. Additional services, unbilled work, indemnity exposure, liability limits, and pass-through risk get flagged before they erode fee.
Proposal intelligence
Pursuit decisions get made on gut feel, and dead-end RFPs eat valuable principal time.
The Engine ingests RFPs, your historical win/loss data, and competitor positioning, then scores win probability and flags the evaluation criteria, scope issues, and talent gaps that matter. Your team decides pursuits with dead ends filtered out.
Talent, capacity, and backlog planning
Bench planning doesn’t tell you whether the right people will be available when the work hits.
The Engine synthesizes staffing plans, current utilization, project schedules, and pipeline to optimize talent assignments by discipline and seniority. Staffing, hiring, and consultant decisions get made with real demand in view, before your best people are overcommitted on less profitable work.
Design quality and coordination
Coordination across architectural, structural, MEP, and deliverables generates more checks than any one reviewer can track.
The Engine reads the drawing set, spec package, and consultant submissions, then flags conflicts, missing details, standards drift, and code gaps with citations back to the exact sheet and section. QA/QC reviewers focus on items that need judgment, packages leave the firm cleaner, and E&O exposure drops.
A Closer Look: AI-Powered Submittal and Spec Review
Most design firms start here.
Construction Administration is often the best entry point because the time pressure and risk is real, the record is deep, and the workflow is repeatable and high-volume. The Decision Engine compares each submittal package against the full project record, including specs, drawings, prior submittals, RFIs, ASIs, and addenda. It cross-references submittal items against project requirements, flags gaps and non-compliant elements, and links findings back to the exact specification section, drawing sheet, page, and source file. Revisions from prior submittals are isolated, so reviewers see what changed, not just what landed in the latest package.
Generation runs in 30 minutes to a few hours depending on submittal size. Reviewers shift from reading everything to focusing on priority items and deciding what matters.
30 minutes
Per review, down from 4.5 hrs
100+ projects
Fully active
100%
Requirements sourced and cited
12 weeks
To production scale
Architects should focus on design and clients, not be buried in submittals. At 46K submittal reviews a year, cutting review time in half reclaims 35K architect hours and creates a $10M+ annual benefit.
Operational decisions compound into strategic outcomes. Margin protected this quarter funds pursuit capacity next quarter. The decisions look operational. They compound strategically.
Book a Discovery Call
Thirty minutes. We’ll map your firm’s highest-value workflow and tell you what a prototype against your data would look like.
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