PERFORMANCE LEDGER

    Measured

    Impact.

    We don't sell software; we sell architectural interventions. Below are detailed breakdowns of recent deployments, including the economic logic behind them.

    CASE STUDY 01——FINANCE OPERATIONS

    Close Readiness Acceleration

    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.
    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

    ~$1.1M–$1.3M

    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.

    CASE STUDY 02——SALES OPERATIONS

    Pipeline Velocity + Deal Desk Orchestration

    CLIENT PROFILE

    SaaS ($200M–$500M ARR)

    EXECUTIVE SPONSOR

    CRO

    TIME TO PRODUCTION

    6–10 Weeks

    VALUE REALIZED

    $4.0M - $4.8M (Year 1)

    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.
    The Math(Year 1 Realized)

    Incremental Booked ARR

    Win Rate Uplift (18% → 24%) 120 deals × 6% uplift × $650K ACV

    $4.68M

    Capacity Unlocked

    10% selling-time increase = 4 avoided hires 4 × $250K fully loaded cost

    $1.0M

    TOTAL YEAR 1 VALUE

    ~$4.0M–$4.8M

    Deployment: Deal Orchestration System

    Generative Proposals

    Generates first-draft proposals/SOWs in the client's format (with legal guardrails)

    Logic-Based Routing

    Automates routing/approvals based on deal attributes (pricing bands, risk terms, non-standard clauses)

    Stall Detection

    Flags stalled-deal patterns and triggers intervention playbooks.

    CASE STUDY 03——PROCUREMENT LOGISTICS

    Contract Leakage Recovery System

    CLIENT PROFILE

    Fortune 1000 Manufacturer

    EXECUTIVE SPONSOR

    Chief Procurement Officer

    TIME TO PRODUCTION

    12 Weeks to Go-Live

    VALUE REALIZED

    $4.5M - $7.0M (Year 1)

    The Before
    • Annual contract leakage of ~$12M
    • Manual invoice reconciliation taking 40+ hours/week
    • Vendor compliance visibility at <30%
    The After
    • 35% of leakage captured in Year 1.
    • Reconciliation time reduced by 80%
    • Full vendor compliance visibility achieved.
    The Math(Year 1 Realized)

    Leakage Recovery

    $4.2M

    Labor Savings

    $850,000

    Early Payment Discounts

    $650,000

    Audit Cost Reduction

    $300,000

    TOTAL YEAR 1 VALUE

    ~$4.5M–$7.0M

    Deployment: Procurement Intelligence Platform

    Automated Invoice Matching

    Matches invoices against contracts in real-time, flagging discrepancies instantly.

    Vendor Performance Scoring

    Tracks and scores vendor compliance, delivery, and pricing adherence automatically.

    Leakage Alerts

    Proactive alerts for contract breaches, missed discounts, and pricing anomalies.