No Prompts. No Guesswork. No Regulatory Risk.
A practitioner's guide for BC/ITDR professionals at US financial institutions — build, govern, and document a personal AI agent that's audit-ready from day one.
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Practitioner Experience From Inside
Financial regulators are clear: AI use is your responsibility — not the platform's. Governance, oversight, and accountability start with you, before you deploy a single workflow.
Deploying AI without proper documentation and governance exposes you personally to examiner scrutiny and regulatory penalties.
Most resources explain AI capabilities. Almost none teach you how to govern and deploy it safely inside a regulated institution.
A practitioner-built framework to build, constrain, document, and deploy your first personal AI agent — correctly, from the very start.
If you work in BC/ITDR or compliance at a regulated financial institution, you've felt this:
Tired of watching AI pass you by — knowing it could accelerate your BC workflows, but not knowing how to start without triggering a compliance review.
Feeling like AI is a liability at work — because using it without the right documentation and guardrails could put your name on the wrong side of an examiner's report.
No clear step-by-step process — to document your AI use so it's governance-ready, audit-ready, and aligned with OCC, FFIEC, and SR 11-7 from day one.
"I know AI could help me move faster — but I'm not sure how to do it without getting myself in trouble."
This guide was written for exactly that practitioner.
Not theory. A practitioner-built playbook from direct experience inside regulated financial environments — covering every step of building, governing, and deploying your AI agent.
Chapter 01
Why personal AI agents are a force multiplier for BC and ITDR professionals — and why now is the time to act.
Chapter 02
OCC, FFIEC, and SR 11-7 — exactly what they mean for your AI use inside a regulated institution.
Chapter 03
Accountability, documentation, and governance — how they work when your "employee" is an AI.
Chapter 04
Data, output, behavioral, and regulatory communication guardrails you must build in before using any AI agent at work.
Chapter 05
Step-by-step process — without any pre-built prompts. Build from first principles with full governance built in.
Chapter 06
A fully documented, real-world example agent you can study, adapt, and use immediately.
Chapter 07
How to align your personal agent with your institution's risk appetite, IT policy, and compliance expectations.
Chapter 08
Maintaining, reviewing, and evolving your AI agent as regulatory guidance develops over time.
Chapter 09
Purpose-built agents from Remver — how to move beyond personal use into enterprise-grade resilience automation.
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Managing resilience testing, BIA updates, and DR planning — needing AI that doesn't create more risk than it solves.
Running ITDR programs inside banks where every AI tool must be documented and governed before it touches a workflow.
Professionals who need to move faster — but can't afford to outpace their institution's governance requirements.
"If you work at a US financial institution and you're wondering how to use AI without putting yourself — or your institution — at risk, this guide was written for you."
— Dr. Claudia E. Tatum, Remver Consulting
Instant PDF delivery. Nine chapters, a readiness checklist, and a regulatory quick reference — everything a BC/ITDR practitioner needs to start safely and correctly.
Everything You're Getting — Free:
Secure access. Privacy respected. Your information is used only to deliver this guide. We do not sell personal information.
Yes — completely free. No credit card, no hidden fees. We offer this guide to introduce you to Remver's practitioner-built AI frameworks. If it helps you and you'd like to go deeper, additional tools are available. That's it.
No. This guide is written for BC/ITDR and compliance practitioners — not engineers or data scientists. The focus is on governance, documentation, and practical deployment inside your existing workflows, not on technical AI development.
OCC guidance, FFIEC requirements, and SR 11-7 model risk management principles — as they apply to personal AI agent use inside regulated US financial institutions.
Especially relevant. This guide specifically addresses how to build guardrails, document usage, and align with institutional governance — so when you do deploy an AI agent, it's already structured to survive examiner scrutiny, even in the most cautious institutions.
This guide focuses on personal AI agents — tools you control, document, and govern individually. Distinct from institution-wide enterprise AI platforms, designed for practitioners who need to move faster without waiting for a top-down AI strategy.