IdentifyOver 90 Days

Dynamic Cost Optimization Phase I (Amended)

ID: 1085992-10

Potential Value

$6,000,000

Deal Value

$30,000,000

Stated Probability

35%

Days in Pipeline

233

Client & Account

Client

Azure Agency

City

Dallas

Region

USLI

Sub-Sector

FED

Service Classification

Service Line

Assurance

Field of Play

Finance

Opportunity Sub-SL

FAAS

Competency

FAAS - Enhanced Corporate Reporting and Accounting

Global Service Code

Change Leadership (49526)

People & Dates

Partner

Liu Larry

Pursuit Leader

Moore Helen

Open Date

Sep 22, 2025

Anticipated Win Date

Sep 30, 2027

Close Date

N/A

Details

Description

Dynamic Cost Optimization Phase I (Amended)

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

59.5%

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

$416,409

Key Triage Drivers

Work type
+0.586
Service sub-line track record
-0.571
Opportunity business unit
+0.437

Win Probability Models

P(Pursue)

59.5%

Model A: Planning

11.7%

Model B: Early Signal

2.9%

Stated Probability

35%

Model A: Planning

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

Win Probability

11.7%

Key Drivers

Time in current pipeline stage
-1.476
Brand new pursuit (vs renewal)
-1.266
Deal size vs service line median
-1.027

Plain English

The model a: planning estimates a low probability of winning (12%). Factors working against: time in current pipeline stage, brand new pursuit (vs renewal), deal size vs service line median.

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

2.9%

Key Drivers

Deal size vs service line median
-0.994
Brand new pursuit (vs renewal)
-0.847
Service sub-line track record
-0.637

Plain English

The model b: early signal estimates a low probability of winning (3%). Factors working against: deal size vs service line median, brand new pursuit (vs renewal), service sub-line track record.