Total Economic Impact PlatformBase Case Mode

AI Deflection TCO Intelligence Studio

Production-grade TEI modeling for AI support deflection — covering direct savings, churn economics, engineering reinvestment, and risk-adjusted ROI.

Scenario mode: Expected Baseline. Adjusted deflections: 5,400 vs. target 5,400.

Net Annual TEI Gain

$16,267,697

Savings + Churn Preserved + Eng. Value

FTEs Reclaimed

6.75

1,080 hrs/mo reinvestable capacity

Risk-Adjusted ROI

203246.2%

Scenario-discounted on Base Case assumptions

Operational Parameters

Core volume and cost drivers

12,000
$18.50
45%

Total Economic Impact Inputs

Churn economics & engineering reinvestment

$
82%
12 min
$

Production AI systems require compliance and resilience layers. These costs are often omitted from demo-grade ROI calculators, creating CFO credibility risk.

$
$
$

Monthly Overhead Allocation

Platform SaaS$1,500/mo
PII Redaction$400/mo
Observability$300/mo
HA Fallback$250/mo
Total Overhead$2,450/mo

Sensitivity Engine — Stress Test

Adjust variance assumptions to model scenario ranges for board presentations

0%
Effective rate: 45.0%
1.00x
Churn revenue protected: $1,166,400/mo
Financial Projection
Net Annual Savings

$1,169,297

$97,441/mo operational delta

Financial Projection
Churn Revenue Saved

$13,996,800

$1,166,400/mo preserved CLV

Operational Metric
Engineering Value Reclaimed

$91,800

6.75 FTE equivalents freed

Operational Metric
Sunk Escalation Tax

$3

37.9% of token budget wasted

Financial Projection
True Loaded Cost / Deflection

$0.46

vs. $18.50 fully-loaded human

Financial Projection
CapEx Break-Even

0.1 mo

To recover implementation CapEx

Operational Metric
Monthly Token Spend

$9

$2,459 all-in with infra

Financial Projection
Raw Operational ROI

78.2%

Month-over-month hybrid vs. human

12-Month Cumulative TCO vs. Legacy Baseline

Includes CapEx at M1 · Base Case scenario applied

Δ Year-1: $1,161,297

Token Budget Allocation

Resolved value vs. sunk escalation waste vs. infrastructure overhead

⚠️ Waste Ratio: 37.9% of token spend yields no deflection value. Improve intent classification and escalation routing to recapture this.

Model Selection Matrix

Latency (s) vs. cost per session (¢) — lower-left is optimal

💡 Routing Strategy: Tier 1 intents → Gemini Flash / GPT-4o Mini. Complex reasoning → Claude Sonnet or GPT-4o.

Total Economic Impact (TEI) Decomposition

Full economic value stack — operational + strategic

Direct Savings

$1,169,297/yr

7.2% of TEI

Churn Revenue

$13,996,800/yr

86.0% of TEI

Eng. Value

$1,101,600/yr

6.8% of TEI

Model Assumptions & Defensible Math Documentation

1. Sunk Token Realism

Failed escalations consume tokens at avgTurnsBeforeEscalation depth with no deflection value. Omitting this overstates ROI by 15–40% in typical deployments.

2. Churn-CLV Bridge

Churn preservation assumes poor AI resolution (1 - CSAT score) is a proxy for churn signal at CLV value. Churn sensitivity multiplier bounds optimistic vs. conservative retention assumptions.

3. FTE Reclaimed Formula

FTEs Reclaimed = (Deflections × AHT in hours) ÷ 160 productive hours/month. This is a capacity metric, not a headcount reduction recommendation.

4. Production Infra TCO

PII redaction, observability, and HA costs are surfaced explicitly because they are systematically excluded from vendor ROI calculators. In HIPAA/GDPR contexts these are mandatory, not optional.

5. Scenario Discount Methodology

Conservative applies 0.75× multiplier to deflection rate. Optimistic applies 1.20×. Accuracy Variance adds an additive delta on top of scenario mode.

6. Risk-Adjusted ROI

Formula: (TEI Annual × Scenario Multiplier − CapEx) ÷ CapEx × 100. Incorporates scenario mode and accuracy variance as compounding discount factors for board-level confidence intervals.