The answer is in five places.
Leases, operating statements, emails, and property systems tell different parts of the story. Teams spend their best hours reconciling them.
AI FOR REAL ESTATE
Put your portfolio intelligence to work.
Connect investment, development, and property operations. Turn information scattered across assets into faster decisions and measurable operating value.
See what’s possibleGood people.
Too much friction.
Start where work slows down, information gets lost, and margin slips away.
Every asset starts over.
Diligence findings and operating lessons rarely carry cleanly into the next acquisition, budget, or capital project.
Reporting arrives after the decision.
Manual portfolio packs leave little time to investigate exceptions before they become a margin problem.
Make the business case.
Start with one workflow. Put your numbers behind the opportunity.
$273,600Annual capacity value
2,880Hours returned / year
$213,600Value after program cost
356%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.
$110–180B
Potential value from generative AI across real estate
McKinsey estimate, 2023. Industry-wide potential, not Mason customer results. ↗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.
Turn data-room documents into a source-linked investment brief. Surface lease exposure, missing evidence, and inconsistencies before the committee meeting.
Your investment team approves assumptions and the final recommendation.
Measure: Hours per diligence file; unresolved findings.
Example: 80 files/month × 180 minutes saved × $95/hour × 12 ÷ 60 = $273,600/year in capacity before program costs. Validate against your baseline.
Reconcile property-level operating data, explain budget variances, and route exceptions to the people who can resolve them.
Asset managers confirm material adjustments before records change.
Measure: Reporting effort; exception age.
Example: 1,200 reviews/month × 20 minutes saved × $65/hour × 12 ÷ 60 = $312,000/year in capacity before program costs. Validate against your baseline.
Connect draw requests, progress evidence, and approved scope. Highlight mismatched amounts and missing support for project-team review.
Payment authorization stays with the designated approver.
Measure: Review time; unresolved cost exposure.
Example: 300 packages/month × 60 minutes saved × $85/hour × 12 ÷ 60 = $306,000/year in capacity before program costs. Validate against your baseline.
Extract obligations and dates from leases, assemble renewal briefs, and prepare follow-ups from the latest property context.
Legal interpretations and commercial terms require expert review.
Measure: Minutes per abstraction; missed critical dates.
Example: 500 leases/month × 45 minutes saved × $70/hour × 12 ÷ 60 = $315,000/year in capacity before program costs. Validate against your baseline.
Assemble portfolio narratives and supporting schedules from approved operating and finance data, with traceable figures and a review queue.
Finance signs off on figures and investor communications.
Measure: Preparation hours; correction rate.
Example: 150 reports/month × 120 minutes saved × $80/hour × 12 ÷ 60 = $288,000/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.
mckinsey.com · Reference 1 ↗