Free Guide · Governance, Security & Compliance
Put AI to Work Without Putting Client Data at Risk
Four practical frameworks that let your AI agents handle real work while your most sensitive files stay exactly where they belong.
You connected an AI agent to save time. Then it hit you at 2 a.m.: that tool can read everything. Client files, patient records, donor history. And unlike an employee, it has no instincts, no judgment, and no fear of getting fired. One bad connection and your most protected data walks out the door at machine speed.
This guide gives you four frameworks with names your team will actually remember: the Data Diet, the Three Rooms Rule, the Glass Box Standard, and the Tripwire Protocol. Together they answer the three questions every firm must answer: what can each agent see, what can it do with what it sees, and how would you know if something went wrong. Then a week-by-week 30-day plan turns the answers into working policy.
Montalvo Corp helps law firms, medical practices, financial advisors, and churches run AI like professionals: fast where it's safe, locked down where it matters. No developer required, no jargon, no 40-page policy nobody reads. Just decision rules a smart operator can implement this month.
Inside the guide
Sort every piece of business data into three tiers in under an hour, so agent access decisions become obvious
Assign each AI agent to one of Three Rooms that caps what it can do, not just what it can see
Build a 15-minute weekly review that catches agent misfires before they become client conversations
Write the five tripwires and one-page first-hour script that turn a potential breach into a contained incident
Roll out the entire system in 30 days with a week-by-week checklist, including how to surface the shadow AI your team already uses
Instant access
Where should we send it?
You'll get the PDF immediately, plus a short follow-up worth reading. No spam. Unsubscribe anytime.
Go further
The guide is the thinking.
This is the doing.
The AI Advantage Playbook: Turn Claude Into Your Best Employee in 30 Days. Every framework from all 95 guides, distilled into one execution system: the checklists, the prompts, the build order, and the guardrails.
One-time payment. Instant download. Built for operators, not engineers.
Common questions
What is Handling Sensitive Data in Agentic Workflows?
A easy-to-follow playbook for letting AI agents work with client, patient, and donor data without exposing it. Four named frameworks plus a 30-day rollout plan built for law firms, medical practices, and other trust-based businesses. It's a free 12 min guide from Montalvo Corp, available as an instant PDF download.
What will I learn in this guide?
Sort every piece of business data into three tiers in under an hour, so agent access decisions become obvious. Assign each AI agent to one of Three Rooms that caps what it can do, not just what it can see. Build a 15-minute weekly review that catches agent misfires before they become client conversations. Write the five tripwires and one-page first-hour script that turn a potential breach into a contained incident. Roll out the entire system in 30 days with a week-by-week checklist, including how to surface the shadow AI your team already uses.
Who is this guide for?
Business owners and operators, especially legacy professionals (law, medical, financial, trades, professional services) and faith-based organizations. Difficulty level: Intermediate. No technical background required.
How do I get the guide?
Enter your name and email at montalvocorp.com/guides/sensitive-data-agentic-workflows and the PDF arrives in your inbox immediately, free.
Related guides
Data Privacy in AI Systems
A plain-language playbook for protecting client, patient, and donor data in AI tools. Four named frameworks and a 30-day rollout plan, no IT department required.
Implementing RBAC in AI Systems
A plain-language guide to role-based access control for AI tools: four frameworks that decide who can ask your AI what, and a 30-day plan to put them in place.
Audit Trails & Logging for AI Decision-Making
A practical system for logging and proving every AI decision your business makes. Four frameworks and a 30-day plan to build an audit trail that holds up with regulators, courts, and clients.