Performance Ledger
Measured
Impact.
Case Study 01
Finance Operations
Client Profile
Healthcare Operator ($2B–$5B)
Executive Sponsor
Chief Financial Officer
Time to Production
16 Weeks to Go-Live
Value Realized
$1.1M - $1.3M (Year 1)
The Before
Month-end close took 12-15 days.
250-400 exceptions found at close.
Finance team spent 70% of time chasing evidence.
The After
Close reduced to 4-6 days .
Exceptions dropped to 20-40 .
Rework and manual chasing is eliminated.
Deployment: AP Exceptions Autopilot
Stop Errors Instantly
Detects exceptions (missing evidence, mismatched terms) immediately upon creation, not at month-end.
Resolve Issues via Slack/Teams
Routes resolution via Slack/Teams with full context (policy, requester, evidence needed).
Automated Audit Trail
Enforces "audit-complete" status before posting to ERP; maintains immutable resolution trail.
"We didn't 'speed up the close' with heroics. We removed the upstream exception backlog so close stopped being a monthly fire drill."
The Math
(Year 1 Realized)
Avoided Hiring
$420,000
Reduced Close Support
$115,000
Discount Capture
$210,000
Audit Efficiency
$210,000
Write-off Reduction
$140,000
Total Year 1 Value
~$4.0M–$5.0M
Steady State Run-rate
~1.4M / year
Case Study 02
Sales Operations
Client Profile
SaaS ($200M–$500M ARR)
Executive Sponsor
CRO
Time to Production
6–10 Weeks
Value Realized
$4.0M - $5.5M (Year 1)
The Math
(Year 1 Realized)
Incremental Booked ARR
$4.68M
Win Rate Uplift (18% → 24%) 120 deals × 6% uplift × $650K ACV
Capacity Unlocked
$1.0M
10% selling-time increase = 4 avoided hires 4 × $250K fully
loaded cost
Total Year 1 Value
~$4.0M–$5.0M
Steady State Run-Rate
~$6.0M–$7.5M / year
*Year 1 calculated at 70–85% realization due to ramp period. Pipeline variability applied.
The Before
Enterprise cycle time: 100–140 days .
Reps spent 25–35% of time on admin/CRM.
Large-deal win rate stuck at 15–20%.
The After
Cycle time 20–30% faster (85–95 days).
Admin time reduced by 8–12 points.
Win rate uplift: +4 to +7 points on large deals.
Deployment: Deal Orchestration System
Generative Proposals
Detects exceptions (missing evidence, mismatched terms) immediately upon creation, not at month-end.
Logic-Based Routing
Routes resolution via Slack/Teams with full context (policy, requester, evidence needed).
Stall Detection
Enforces "audit-complete" status before posting to ERP; maintains immutable resolution trail.
"We didn't 'make reps faster.' We removed the deal desk friction where enterprise deals usually die: approvals, paperwork, and internal handoffs."
Case Study 03
COO / Supply Chain
Client Profile
Consumer Goods ($1B–$3B)
Executive Sponsor
COO
Time to Production
10–14 Weeks
Value Realized
$2.0M - $3.0M (Year 1)
The Math
(Year 1 Realized)
Gross Margin Protected
$1.6M
Freight Savings
$360,000
Carrying Cost Reduced
$990,000
Total Year 1 Value
~$3.0M
One-Time WC Release
$4M – $7M
Case Study 04
CHRO / Talent Ops
Client Profile
Prof. Services (3k–6k)
Executive Sponsor
CHRO
Time to Production
8–12 Weeks
Value Realized
$1.3M – $2.2M (Year 1)
The Math
(Year 1)
Replacements Avoided
$792,000
Agency Fee Savings
$360,000
Capacity Unlocked
$156,000
Total Year 1 Value
~$1.3M
Steady State Run-Rate
~$2.0M – $3.0M / year
The Before
Time-to-fill critical roles: 55–75 days.
First-year attrition: 25–35%.
Inconsistent interview quality & overloaded teams.
The After
Time-to-fill improved 15-25 days.
First-year attrition reduced 6–10 points.
Reduced agency reliance and recruiter rework.
Deployment: Recruiting Orchestration
Standardized Intake
Standardizes intake + role scorecards + interview plans to reduce variance.
Screening Assistance
Assists screening using ATS/HRIS data with bias checks and audit logs.
Retention Risk Flags
Flags retention risk using tenure, manager changes, and performance inputs.
"We didn't 'replace recruiters.' We removed variance—standardized decisions, reduced rework, and made early attrition visible early enough to act."