Yesterday’s lesson gets lost.
Historical bids and job costs live in disconnected files. Each estimate rebuilds knowledge your team already earned.
AI FOR CONSTRUCTION
Build margin into every project.
Give estimating, project controls, and the field a shared view of the work. Carry hard-won project knowledge into every estimate, change, and forecast.
See what’s possibleGood people.
Too much friction.
Start where work slows down, information gets lost, and margin slips away.
Small changes become large exposures.
Scope clarifications, commitments, and change events move faster than the cost report.
The field and forecast drift apart.
Progress evidence reaches finance through manual updates, delaying the signals leaders need.
Make the business case.
Start with one workflow. Put your numbers behind the opportunity.
$255,000Annual capacity value
3,000Hours returned / year
$195,000Value after program cost
325%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.
14%
Of global construction rework attributed to bad data
Autodesk and FMI estimate for 2020, published 2021. An industry baseline, not an AI savings claim. ↗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.
Find comparable historical scopes, normalize bid inclusions, and flag gaps in the current estimate with links to source documents.
The estimator owns quantity, pricing, and bid decisions.
Measure: Estimate preparation time; scope gaps found.
Example: 100 packages/month × 150 minutes saved × $85/hour × 12 ÷ 60 = $255,000/year in capacity before program costs. Validate against your baseline.
Reconcile commitments, invoices, and field updates into a current cost picture. Draft variance explanations and surface forecast risks.
Project leaders approve forecast changes.
Measure: Forecast preparation hours; variance lag.
Example: 500 reviews/month × 45 minutes saved × $75/hour × 12 ÷ 60 = $337,500/year in capacity before program costs. Validate against your baseline.
Compare proposed changes against contracts, drawings, and prior instructions. Build an evidence packet for commercial review.
Contract interpretation and commercial settlements stay with your team.
Measure: Change-review time; unsupported cost exposure.
Example: 250 changes/month × 90 minutes saved × $90/hour × 12 ÷ 60 = $405,000/year in capacity before program costs. Validate against your baseline.
Connect RFIs, submittals, procurement dates, and progress notes. Route emerging constraints before they become missed commitments.
Planners validate critical-path impacts and schedule revisions.
Measure: Constraint age; overdue dependencies.
Example: 800 updates/month × 20 minutes saved × $70/hour × 12 ÷ 60 = $224,000/year in capacity before program costs. Validate against your baseline.
Normalize project cost codes and supplier records. Make actual costs reusable for benchmarking and the next procurement decision.
Finance approves mappings and material corrections.
Measure: Benchmark preparation time; coding exceptions.
Example: 2,000 records/month × 12 minutes saved × $65/hour × 12 ÷ 60 = $312,000/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.
adsknews.autodesk.com · Reference 1 ↗