Decision Architecture Series  ·  2026

Your AI program
is telling the
wrong story.

The Decision Metrics Tracker converts your execution metrics — hours saved, FTE reduced, cycle time — into the decision-quality outcomes that boards fund and CFOs underwrite. Same program. Completely different conversation.

Open the Tracker ↓ Free · No login · Works on any AI platform
95%
of AI pilots deliver no measurable P&L impact — MIT NANDA, 2025
78→92%
Decision accuracy improvement in a real KYC deployment
$24→$10
Cost per decision after Decision Architecture redesign
5→60%
Straight-through rate — same platform, redesigned decisions
What This Tool Does

Everything your AI program
is actually doing — measured.

Enter the metrics you already track. The tracker maps them to four business value dimensions and generates an executive narrative ready to paste into your board deck.

🗺
The Mapping Layer
Every execution metric — handling time, case volume, escalation rate — mapped to its decision-layer outcome and the business value pillar it belongs to.
📊
Four Business Value Pillars
Risk Improvement, Accuracy & Efficiency, Experience, and Revenue Enablement. The framework boards actually use to evaluate AI programs.
📝
Executive Narrative Generator
Auto-generates a board-ready paragraph with your real numbers. Copy it directly into your next executive briefing, QBR, or investment memo.
⚖️
The Two Stories
Side-by-side: the execution story most organizations tell vs. the decision story that gets funded. See which one your program is currently telling.
How It Works

Three steps. Five minutes.

1
Select your use case
Choose from KYC, Loan Origination, or Claims Processing — pre-loaded with industry benchmarks — or enter custom numbers for any workflow.
2
Enter your current metrics
Nine fields covering the execution metrics you already track. Hover over any field for a plain-English definition and guidance on where to find the number.
3
Get your decision story
Four business value pillars, a mapping table, the two-story comparison, an executive narrative, and a save-to-PDF button. Ready to share in minutes.
The Four Pillars

What the decision layer
is actually worth.

Most AI programs report on execution. These are the dimensions boards and CFOs actually care about.

🛡
Risk Improvement
Escalations avoided, compliance exposure reduced, decision error cost eliminated.
🎯
Accuracy & Efficiency
Decision quality score, straight-through rate, cost per decision improvement.
⭐
Experience
Cases auto-resolved, speed-to-decision, customer and employee friction removed.
📈
Revenue Enablement
Extra approvals from accuracy gains, ROI, payback period, real-time opportunity capture.
The Two Stories

One gets cut. One gets funded.

The tracker shows you both — and makes it easy to shift from one to the other.

Execution Story — What most organizations report
45,000 hours saved
12 FTE reduced
28% faster processing
$960K labor cost reduction
✕  This gets cut in the next budget cycle
vs
Decision Story — What CFOs and boards fund
Decision accuracy: 78% → 92%
Straight-through rate: 5% → 60%
Cost per decision: $24 → $10
Escalation rate: 18% → 8%
Speed-to-decision: 1.8 days → 6–8 hours
ROI: 240% · Payback: 8 months
✓  This gets funded and expanded
About the Author

Built from a decade
of field work.

I have spent ten years building AI operating model infrastructure inside financial services and insurance organizations where getting decisions wrong has real consequences — regulatory exposure, revenue loss, customer harm.

This tracker is the distillation of that work. The framework, the metrics, the executive narrative structure — all of it comes from real programs, real numbers, and real board conversations.

It works regardless of which AI platform you are running. The decision layer is not a vendor conversation. It is an operating model conversation.

Connect on LinkedIn →
$20M+
Documented client AI & automation impact across financial services, insurance, and health systems
10,000+
Enterprise customers using the Agentic AI Operating Model framework
$1.8B ARR
Platform scale across which the framework has been deployed
The Tracker

Run your numbers now.

Free to use. No login. Works on any device. Save your results as a PDF when you're done.

Layer 1
Intelligence Work
Reasoning, analysis, document understanding, risk scoring, pattern detection.
Layer 2 — Where value is created
Decision Work
Autonomous judgments — approve/decline, route/escalate, prioritize, set limits.
← This tracker measures this layer
Layer 3 — Most measured
Execution Work
Automation and integration — system updates, communications, workflow triggers.
Hours saved lives here
Step 1
Select your use case
Choose a pre-loaded benchmark or select Custom to enter your own numbers.
Step 2
Enter your current state metrics
Pre-loaded benchmarks are editable. Adjust any field to match your program's actual numbers. Hover the ? for guidance.
Annual Case Volume ?
cases per year
Handling Time — Before ?
days per case
Handling Time — After ?
days per case
Cost Per Case — Before ?
$ per case
Decision Accuracy — Before ?
% correct decisions
Escalation Rate — Before ?
% requiring human review
Process Efficiency — Before ?
% straight-through
Annual AI Investment ?
$ total annual cost
Avg Revenue Per Case ?
$ revenue per case

Ready for Version 2?

Version 2 adds board-level financials, persona-specific views for C-Suite, VC/PE, and CoE, a radar chart across all five decision dimensions, and six pre-loaded use cases. Follow along on LinkedIn to get it first.

Follow on LinkedIn →
Version 2 dropping soon · Decision Architecture Series · 2026
Decision Metrics Tracker v1  ·  Rachael Allen-Stephens  ·  Platform agnostic
linkedin.com/in/rachael-a-cspo