IdentifyOver 90 Days

Scalable Program Management Platform - Extension

ID: 1970302-20

Potential Value

$10,700,000

Deal Value

$0

Stated Probability

75%

Days in Pipeline

218

Client & Account

Client

Velocity Regulatory Technologies

City

Houston

Region

USLI

Sub-Sector

SLED

Service Classification

Service Line

SaT

Field of Play

Strategy & Transformation

Opportunity Sub-SL

Transactions & Corporate Finance

Competency

TCF - Reimagine Reshape & Grow

Global Service Code

Regulatory Compliance (61122)

People & Dates

Partner

Becker Priya

Pursuit Leader

Joshi Susan

Open Date

Oct 7, 2025

Anticipated Win Date

Aug 1, 2028

Close Date

N/A

Details

Description

Scalable Program Management Platform - Extension

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

91.4%

Expected Value (EV = P(Pursue) × P(Win) × Value)

$7,865,383

Key Triage Drivers

Non-recurring work
+0.837
Work type
+0.731
Opportunity business unit
+0.286

Win Probability Models

P(Pursue)

91.4%

Model A: Planning

80.5%

Model B: Early Signal

80.4%

Stated Probability

75%

Model A: Planning

Includes deal age and timeline factors. Best for active pipeline management.

Win Probability

80.5%

Key Drivers

Time in current pipeline stage
-1.869
Brand new pursuit (vs renewal)
+1.532
Recurring/additional sale
+0.594

Plain English

The model a: planning estimates a high probability of winning (80%). Factors working in favor: brand new pursuit (vs renewal), recurring/additional sale. Factors working against: time in current pipeline stage.

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

80.4%

Key Drivers

Brand new pursuit (vs renewal)
+1.118
Deal size vs service line median
-0.710
OpportunityType Additional Sales Opportunity
+0.524

Plain English

The model b: early signal estimates a high probability of winning (80%). Factors working in favor: brand new pursuit (vs renewal), opportunitytype additional sales opportunity. Factors working against: deal size vs service line median.