Project knowledge stays in silos.
Design decisions and technical precedents are scattered across email, drawings, and document systems.
AI FOR ARCHITECTURE AND ENGINEERING
More time for the work that matters.
Connect design knowledge, project delivery, and commercial performance. Help experts spend less time finding information and more time applying their judgment.
See what’s possibleGood people.
Too much friction.
Start where work slows down, information gets lost, and margin slips away.
Review effort grows with every revision.
Teams repeatedly compare requirements, comments, and deliverables to find what changed.
Utilization hides the full picture.
Staffing, scope changes, and fee burn are tracked separately, making margin erosion harder to catch.
Make the business case.
Start with one workflow. Put your numbers behind the opportunity.
$270,000Annual capacity value
3,000Hours returned / year
$210,000Value after program cost
350%Illustrative annual ROI
Illustrative model, not a forecast or Mason pricing. Capacity value = monthly volume × minutes saved ÷ 60 × hourly cost × 12. ROI = (capacity value − annual program cost) ÷ annual program cost. Realized savings depend on adoption and how capacity is redeployed. Include implementation, review, and operating costs in your estimate.
59%
Of surveyed architecture practices used AI in 2025
RIBA AI Report 2025. Adoption includes use on occasional projects; not a productivity measure. ↗Workflows worth
transforming.
Explore the work, the human decision points, and the value to measure.
Each value below is an illustrative annual capacity scenario. Open a workflow for its assumptions. Scenarios may overlap and should not be added together.
Connect meeting actions, issue registers, and deliverable dates. Prepare current handover notes so project teams act on the same information.
Project managers approve external commitments.
Measure: Coordination hours; overdue actions.
Example: 600 updates/month × 25 minutes saved × $90/hour × 12 ÷ 60 = $270,000/year in capacity before program costs. Validate against your baseline.
Compare revision packages against review comments and project requirements. Surface unresolved items with the relevant drawing or specification reference.
Licensed professionals retain responsibility for design and sign-off.
Measure: Review preparation time; open QA items.
Example: 200 packages/month × 90 minutes saved × $100/hour × 12 ÷ 60 = $360,000/year in capacity before program costs. Validate against your baseline.
Build requirement matrices from approved standards and project documents. Flag missing evidence and conflicting specifications for specialist review.
AI supports checks; it does not certify compliance or engineering safety.
Measure: Evidence assembly hours; incomplete requirements.
Example: 150 checks/month × 120 minutes saved × $110/hour × 12 ÷ 60 = $396,000/year in capacity before program costs. Validate against your baseline.
Bring staffing plans, project milestones, and fee budgets together. Prepare options for balancing workload before delivery pressure peaks.
Practice leaders make staffing and allocation decisions.
Measure: Planning effort; forecast utilization.
Example: 120 plans/month × 90 minutes saved × $85/hour × 12 ÷ 60 = $183,600/year in capacity before program costs. Validate against your baseline.
Track fee burn, changes in scope, and unbilled work. Draft project margin summaries that connect financial movements to delivery events.
Finance validates revenue recognition and client billing.
Measure: Reporting time; unbilled-work visibility.
Example: 400 reports/month × 35 minutes saved × $80/hour × 12 ÷ 60 = $224,000/year in capacity before program costs. Validate against your baseline.
Your business.
Your control.
The same security foundation across Mason Platform and Mason Transformation.
Explore securityYour data stays yours+
Your data and processes are not used to train or update AI models.
Access shaped around your work+
Define the applications, information, and people in scope. Apply least privilege and strong authentication.
Deployment that fits your environment+
Work with your security and IT teams to agree on infrastructure, data boundaries, ownership, and ongoing support.
Find your next
AI advantage.
Bring us the workflow that costs too much, takes too long, or keeps falling between systems.
Build your AI edgeSources and assumptions +
Industry references inform the workflow themes. Third-party benchmarks are attributed above and are not Mason performance claims. Workflow values are independent, illustrative calculations.
riba.org · Reference 1 ↗