IdentifyOver 90 Days

Proactive Cost Optimization Automation

ID: 7150994-30

Potential Value

$2,500,000

Deal Value

$0

Stated Probability

50%

Days in Pipeline

208

Client & Account

Client

Central Regulatory Holdings

City

Atlanta

Region

USLI

Sub-Sector

SLED

Service Classification

Service Line

Consulting

Field of Play

Technology

Opportunity Sub-SL

Technology

Competency

AI and Data Transformation

Global Service Code

TEC-Intelligent Analytics Platform (20383)

People & Dates

Partner

Müller Sara

Pursuit Leader

Schmidt Priya

Open Date

Oct 17, 2025

Anticipated Win Date

Jan 1, 2028

Close Date

N/A

Details

Description

Proactive Cost Optimization Automation

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

17.4%

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

$248,391

Key Triage Drivers

Work type
+0.581
Service sub-line track record
-0.501
Deal size (log scale)
-0.377

Win Probability Models

P(Pursue)

17.4%

Model A: Planning

57.2%

Model B: Early Signal

47.0%

Stated Probability

50%

Model A: Planning

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

Win Probability

57.2%

Key Drivers

Time in current pipeline stage
-1.670
Brand new pursuit (vs renewal)
+1.258
Deal age (days since open)
-0.824

Plain English

The model a: planning estimates a moderate probability of winning (57%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: time in current pipeline stage, deal age (days since open).

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

47.0%

Key Drivers

Brand new pursuit (vs renewal)
+1.081
Service sub-line track record
-0.501
Lead sales credit %
-0.421

Plain English

The model b: early signal estimates a moderate probability of winning (47%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: service sub-line track record, lead sales credit %.