Jay Lane Full-Time + AI ROI Framework
Executive Summary
Jay Lane has deployed 30+ AI tools across 11 departments in 180 days — while working half-time. Proven impact: $670K+/year. Pipeline: $5M+/year. Despite this, Yogesh has throttled him to 4 projects per month because there’s no financial ROI framework to evaluate AI investments.
The business case is overwhelming: $670K proven / $175K full-time cost = 283% ROI with a 3.1-month payback. Meanwhile, three ungoverned AI programs are running in parallel — Jay’s tools, Justin’s 8-agent bot fleet, and Daniel’s agentic AI program. Without a unified framework, RRI is flying blind on its most transformative capability.
This initiative builds the ROI framework that Yogesh needs to approve AI investment based on data, converts Jay from half-time to full-time, and establishes governance across all three AI programs.
What Needs to Happen
- Build ROI framework with three-dimension scoring matrix — Cost Efficiency (35%) + Time Efficiency (35%) + Growth Impact (30%). Composite score ≥3.5 = auto-approved. Week 1.
- Build four-tier risk classification — Low / Medium / High / Unacceptable. Tier 1-2 auto-approve. Tier 3 requires committee. Tier 4 blocked. Week 1.
- Catalogue all 38+ agents/tools in registry — SharePoint registry with risk tier, data access level, ROI score, owner, deployment platform. Week 1.
- Present business case to Yogesh — “$670K proven, $5M pipeline, half-time contractor. Full-time ROI: 10x minimum.” Week 2.
- Establish AI Governance Committee — Jay + Justin + Spork + Lior. Monthly operating review. Week 3.
- Include Daniel’s AI program in governance from Day 1 — Frame as “visibility” not “control.” Three ungoverned tracks = failure mode. Week 3-4.
- First monthly AI portfolio report via Selene — Leadership intelligence AI generates automated ROI report for Yogesh. The CFO gets data, not opinions. Week 4.
Claude Code acceleration: The ROI scoring framework, risk classification matrix, and agent registry structure can be generated rapidly. The Selene report template is partially process-driven. Claude Code saves ~1 week on framework documentation and registry setup, bringing 4 weeks down to 2-3 weeks.
Completion Criteria
- Three-dimension ROI scoring matrix published and adopted (Cost Efficiency + Time Efficiency + Growth Impact)
- Four-tier risk classification applied to all 38+ agents/tools
- Agent registry in SharePoint with risk tier, data access level, ROI score, owner, deployment platform
- Jay Lane full-time by April 1 (Yogesh approves based on data)
- AI Governance Committee established with monthly cadence
- Daniel’s parallel AI program included in governance from Day 1
- First Selene-generated AI portfolio report delivered to Yogesh
Initiative Attributes
The ROI Math
| Metric | Value |
|---|---|
| Proven annual impact | $670K+/year (30+ tools, 180 days, half-time) |
| Pipeline impact | $5M+/year |
| Full-time cost | $175K/year |
| ROI | 283% (proven only) — 10x+ (with pipeline) |
| Payback period | 3.1 months |
Related Risks
| ID | Risk | Severity | Probability | Mitigation |
|---|---|---|---|---|
| RF6 | Daniel’s parallel AI program creates ungoverned third track | MEDIUM | HIGH | U7 ROI framework includes Daniel’s program from Day 1. Lior meets Daniel ASAP. Frame governance as “visibility” not “control.” Three ungoverned AI programs = failure mode. |