Prepared for Greg Smith, Chief Information & Operations Officer

AI Governance &
Agentic Readiness

Governance for today’s AI models and tomorrow’s autonomous agents.

5 Weeks
Fixed timeline
$0 Upfront
Pay on delivery
3 Deliverables
Built for handoff
Why Now

Three converging pressures

2
Separate tech stacks

Post-acquisition complexity

FCB and SVB run independent digital roadmaps
AI governance must span both tech stacks
Integration timeline creates urgency to unify now
SR 11-7
Expanding to GenAI

Regulatory acceleration

OCC, Fed, FDIC extending model risk to AI/ML
Autonomous agents create new risk surfaces
SR 11-7 wasn’t built for agentic systems
Agentic
The next 12-month shift

From copilots to autonomous agents

Peers deploying multi-step autonomous workflows
Traditional ML governance won’t cover agents
First movers build trust infrastructure now
What We Deliver

Three deliverables. Five weeks. Zero ambiguity.

Each deliverable is scoped, time-boxed, and designed for immediate operationalization.

WEEKS 1–2
AI & Agentic Governance Framework

Risk framework built for today’s models and tomorrow’s autonomous agents.

Risk taxonomy spanning ML, GenAI, and agentic systems — mapped to SR 11-7 and FDIC guidance
Agent governance: tool access controls, decision authority boundaries, and human-in-the-loop thresholds
2nd-line oversight model with escalation paths for autonomous decision chains across FCB and SVB
Governance that scales from current AI to autonomous agents without rebuilding.
WEEK 3
AI Use Case Prioritization

Every AI/ML initiative across FCB + SVB, scored for value, risk, and agentic readiness.

Complete AI/ML inventory across both platforms — Pega, internal tools, and vendor solutions
Risk × Value × Readiness scoring with agentic-readiness dimension for each use case
Agentic upgrade path: which current AI can evolve into autonomous multi-step workflows
One consolidated view replaces scattered spreadsheets and tribal knowledge.
WEEKS 3–5
AI & Agentic Fluency Playbook

Enterprise-wide capability building — from AI literacy to agentic system readiness.

Role-based learning paths: executive AI strategy, agentic system oversight, practitioner depth
Agentic literacy module: how autonomous agents differ from copilots and what changes for risk
Community of Practice charter with AI fluency KPIs and tracking methodology
Cultural adoption starts before your adoption leader’s first day.
Sprint Timeline

Five weeks to operational readiness

WK 1–2

AI & Agentic Governance Framework

Risk taxonomy, autonomous agent guardrails, oversight model

WK 3

Use Case Prioritization

Inventory, scoring, agentic readiness mapping

WK 3–5

AI & Agentic Fluency Playbook

Learning paths, agentic literacy, CoP charter

WK 5

Executive Handoff

Integrated briefing with implementation roadmap

Engagement Model

We carry the risk. You get the results.

Outcome-Based Pricing

Zero upfront fees. Payment on delivery against defined acceptance criteria.

Fixed-Scope Sprint

5 weeks, 3 deliverables. No scope creep, no open-ended retainers.

Operationalize Immediately

Every framework and playbook is designed for Day 1 execution — not shelf-ware.

AI to production in regulated industries — compliance built in, not bolted on. 18 years across BCG Digital Ventures, Deloitte, Capgemini, and OpenText.

sanej@turingly.com turingly.com

Prepared for First Citizens BancShares · February 2026 · Confidential