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Entitlement Viability

Know YourEntitlement RiskBefore You Invest

See what cities actually approve, how long it takes, and where projects are likely to stall.

  • Assess approval likelihood based on real outcomes
  • Anticipate timelines and political friction early
  • Avoid pursuing paths with low chances of success

From Guesswork to Real Approval Insight

Five data layers that help you understand approval risk before you move forward.

1

Approval Patterns

What ArchiWise Analyzes:

  • What project types get approved
  • Approval rates by area
  • How patterns change over time

Why It Matters: See where approvals are common and where risk is higher.

"This district approved 89% of similar projects. Nearby, only 41% were approved. We chose the stronger location."

2

Timeline Forecast

What ArchiWise Analyzes:

  • Real approval timelines
  • By-right vs. discretionary timing
  • Delays from reviews or appeals

Why It Matters: Better timelines mean better budgeting and fewer surprises.

"The city said 2 months. Similar projects actually took 7+. We planned for it and avoided bad assumptions."

3

Planning Commission Intelligence

What ArchiWise Analyzes:

  • How commissioners usually vote
  • What issues they focus on
  • Who tends to vote together

Why It Matters: Approvals depend on people, not just policy.

"Two commissioners kept voting against projects over 3 stories. We reduced one floor and got approved."

4

Neighborhood Opposition

What ArchiWise Analyzes:

  • Which areas push back most
  • The most common objections
  • What concessions help resolve issues

Why It Matters: Know where community resistance may slow or block a deal.

"This area kept fighting projects over parking. We addressed parking early and moved through approval with less friction."

5

Approval Conditions

What ArchiWise Analyzes:

  • Common approval conditions
  • Extra costs cities often add
  • Typical design changes requested

Why It Matters: Budget for likely conditions before they become surprises.

"This city often asked for ground-floor retail. We planned for it from the start and avoided redesign."

Why Track-Record Analysis Quantifies Political Risk

Precedent-Based Prediction, Not Code Compliance

Traditional Risk Assessment

  • "It's allowed by zoning so it should be approved"
  • Assumes code compliance = approval
  • Political risk is gut feel or anecdote
  • No data on what actually gets approved
  • Surprised when compliant projects get denied

ArchiWise Track-Record

  • Shows what's actually approved, not just what's allowed
  • Code compliance is necessary but not sufficient
  • Political risk scored based on historical patterns
  • Database of actual outcomes by jurisdiction
  • Predict challenges before they happen

The Difference

We show you reality, not theory. What cities actually approve matters more than what codes say they allow.

Jurisdiction-Specific Intelligence

Traditional Risk Assessment

  • Treats all cities the same
  • Metro-wide generalizations
  • No micro-market political intelligence
  • Can't differentiate between planning districts

ArchiWise Track-Record

  • Jurisdiction-by-jurisdiction data
  • Planning district-level granularity
  • City-specific patterns and timelines
  • Neighborhood-by-neighborhood opposition risk
  • Commissioner-level voting intelligence

The Difference

Approval dynamics vary wildly city to city, district to district. We capture that variation.

Compounding Intelligence Over Time

Traditional Risk Assessment

  • One-time analysis
  • Doesn't improve with usage
  • No learning from new outcomes

ArchiWise Track-Record

  • Every project analyzed adds to the database
  • Approval patterns updated continuously
  • Predictions improve as more projects are tracked
  • Builds institutional memory of what works

The Difference

Track-Record Analysis gets smarter over time as ArchiWise learns from more outcomes.

"In 2023, our approval timeline predictions were ±25% accurate. In 2025, we're ±8% accurate. The more projects our users track, the better our predictions get for everyone."

How Developers Use Track-Record to De-Risk Approvals

Scenario:

Site can support 35 units with variance, 28 units by-right. Developer defaults to maximizing density.

Approval Rate Comparison

Timeline Comparison (months)

A: 35 units (variance)
11.5mo
B: 28 units (by-right)
4.2mo

The Math:

Option A carry costs:$15K × 11.5mo = $172K
Option B carry costs:$15K × 4.2mo = $63K
Savings with Option B:$109K + zero risk

Decision:

Design to 28 units. 7 units lost, but $109K saved in carry costs + zero approval risk. Project delivered 7 months faster.

Outcome:

"We would have fought for those 7 units and likely lost. Track-Record showed the variance was a 68% probability of failure. We went by-right, got approval in 4 months flat, and started construction while our competitors were still in hearings."

Track-Record Analysis Gets Smarter With Every Project

Every project analyzed, every approval outcome, every timeline variance feeds back into the system-creating compounding intelligence that competitors can't replicate.

The Learning Loop

Project Submitted
Outcome Tracked
Patterns Updated
Predictions Refined

What We Learn:

  • Which variance justifications actually work
  • How commissioner votes are trending over time
  • Which neighborhoods are softening or hardening opposition
  • What design modifications satisfy common objections
  • Whether approval timelines are accelerating or slowing

The Advantage Over Time:

Year 1

Basic historical patterns

75%
Year 2

Refined predictions, trend identification

82%
Year 3

Predictive models with high accuracy

88%
Year 5

Institutional memory of what works

92%+

This Creates Permanent Advantage

No competitor can replicate this intelligence. It must be lived, tracked, and learned over thousands of projects. The more users contribute, the better Track-Record gets for everyone.

Entitlement Viability Completes the Decision Intelligence Loop

See how Entitlement Viability provides the final confidence layer for your development decision.

Complete Decision Confidence

You've optimized everything. Final question: Will it actually get approved?

Entitlement Viability Provides:

Approval probability:91%

by-right pathway, pro-development jurisdiction

Timeline:4-6 months

based on 18 similar projects in this district

Risk factors:Minimal

no organized opposition, supportive planning commission

Recommended strategy:Submit as designed

highlight community benefits

Result

Commit capital with full confidence in approval timeline and probability.

Right site
Maximum yield
Strong location
Optimal strategy
Predictable approval

Developer Success Stories

Avoided a 68% probability of denial

"We were planning to request a height variance. Track-Record showed 32% approval rate for variances in this district. We redesigned to by-right and got approval in 4 months instead of fighting for 12+ months with 68% chance of losing. Track-Record saved us from a bad strategy."

MC
Marcus Chen
Principal
Westside Development Partners
Boutique developer, LA/OC
Commissioner profiling won us the swing vote

"Track-Record showed which commissioner was the swing vote and what she cared about-parking. We exceeded parking requirements by 20% and secured her vote. Got 4-1 approval. Without that intelligence, we would have presented generically and likely gotten 3-2 or worse."

JP
Jennifer Park
VP Development
Metro Developers Group
Mixed-use developer
Picked the right city, saved 7 months

"Two adjacent cities, similar sites. Track-Record showed one had 13-month average timelines with 64% approval rate. The other: 6 months, 91% approval. We bought in the fast city. Delivered 7 months sooner than we would have. That time advantage was worth $200K+."

DR
David Rodriguez
Acquisitions
Pacific Residential Partners
$220M AUM

Frequently Asked Questions

We collect from planning commission records, permit tracking services, municipal databases, and user-contributed outcomes. All data is verified against official sources.

Stop Hoping for Approval. Predict It With Data.

Join developers who make entitlement decisions based on historical outcomes and approval patterns-turning political risk from unknown into quantified and manageable.