Risk management
Identify, assess and monitor the risks that matter most, with clear ownership and escalation.
- Risk and control assessments
- Key risk indicators and early-warning metrics
- Issue tracking and remediation
ONLINE · risk & AI agent · online
Rodrigo Navarrete
Operational risk & AI adoption specialist · governance · process & controls · workflow automation
I strengthen risk management, governance and processes, then put AI to work on them safely.
I combine 30+ years of operational risk management experience in one of the most regulated industries with hands-on AI adoption, so you get streamlined processes, sound controls and automation you can trust.
rn-agent · autonomous workflowMonthly reporting package
RUNNING
0tasks completed
0exceptions flagged
0human approvals
Demo workflowEvery AI output validated · people approve
What I do
Advise. Apply AI. Build.
Three areas of expertise that work together: sound risk management and processes, AI applied where it genuinely helps, and tools that put it into practice.
MODULE 1 ADVISE
Risk, governance & process
Stronger oversight, cleaner processes and controls that hold up.
- Risk management & governance
- Oversight, QA/QC & reporting
- Process streamlining
- Process & controls design
- Workflow automation
AI adoption, done responsibly
AI that saves time and stays accurate, governed and reviewed.
- AI governance & responsible AI
- Output validation & testing
- Adoption & enablement
- Automation & agentic workflows
- Prompt engineering & AI content
- AI-ready data
Tools that work
Working solutions that put new processes into practice.
- Dashboards & reporting tools
- Workflow apps in Power Apps
- Websites & web apps
Module 1 / Advise
Risk, governance and processes that work
The foundation of everything I do: clear ownership, sound controls and processes without wasted steps. This is where 30+ years of operational risk management experience counts most.
Governance & oversight
Policies, procedures and oversight routines that make responsibilities clear and hold up with auditors, regulators, lenders or buyers.
- Policy and procedure development
- Roles, ownership and accountability
- Decision-making and escalation structures
QA/QC & reporting
Consistent quality reviews and reporting leadership can rely on, with AI doing the repetitive checking where it helps.
- QA/QC programs and testing standards
- Management and board reporting
- Regulatory and compliance reporting
Process streamlining
Map how work really gets done, remove delays, rework and handoffs, and simplify what's left.
- Current-state process mapping
- Bottleneck and rework analysis
- Standardized operating models
Process & controls design
Build control points into the process itself, so errors are prevented or caught early, not found later.
- Control design and testing
- Evidence and documentation standards
- Policies aligned with day-to-day procedures
Workflow automation
Automate intake, routing, approvals and tracking so work moves on its own and nothing gets lost.
- Automated routing and approvals
- Status tracking and notifications
- Audit trail built in
Module 2 / Apply AI
AI adoption, built to be trusted
Hands-on experience putting AI to work in a regulated environment: automating real processes, validating every output and keeping people in control.
AI governance & responsible AI
Policies, controls and oversight for how AI is used across an organization, so it stays accurate, compliant and accountable.
AI output validation & testing
Testing AI results against source data and clear standards before anyone relies on them.
AI adoption & enablement
Finding the right uses for AI, then training teams to use it confidently with human judgment in the loop.
AI automation & agentic workflows
AI agents that carry out multi-step work, such as gathering data, running checks and drafting results, then hand exceptions to people.
Prompt engineering & AI-generated content
Reusable prompt libraries that produce consistent executive summaries, report narratives and documentation.
AI-ready data
Cleaning, labeling and structuring business data so AI produces accurate, reliable results, plus realistic synthetic test data to prove new automations without exposing customer or confidential information.
- Cleanup, standardization and de-duplication
- Labeling and classification for AI use
- Data definitions and ownership documented
- Synthetic test data that protects privacy
Module 3 / Build
What I build
Ideas only matter once they work in practice. I build the tools that put new processes to work.
Dashboards & reporting tools
Dynamic dashboards built with SQL Server, Python and Power BI that refresh from live data instead of being rebuilt by hand.
- KPI, trend and exception views
- Automated recurring reports
- AI-written narratives for leadership
Workflow apps
Power Apps for intake, tracking, approvals and sign-off, so the process runs the same way every time.
- Intake forms and request tracking
- Routing, approvals and sign-off
- Built-in audit trail
Websites & web apps
Modern, AI-assisted websites and simple web tools, fast to launch and easy to maintain.
- Business and portfolio sites
- Simple calculators and tools
- Hosting and deployment
› This site, including the agent console above, was designed and built by me.
How I work
From a manual process to a governed, automated one
Why a risk professional
Automation that holds up to review
I spent my career in regulated financial services, where every number has to tie out and every decision needs evidence. I bring the same discipline to every process and every AI workflow.
HUMAN-IN-THE-LOOPPeople make the callsAI and agents do the repetitive work. People decide on the exceptions.
VALIDATEDEvery AI output is checkedResults are tested against source data before anyone relies on them.
TRACEABLEA full audit trailInputs, rules and decisions are logged, so anyone can see what happened and why.
MAINTAINABLEBuilt to hand offDocumentation and training, so the process doesn't depend on one person.
Background
30+ years in financial services, now powered by AI
I'm a Senior Vice President in financial services risk management. My work spans risk program oversight, governance, regulatory reporting and process design, and more recently bringing AI adoption and automation into all of it.
RISK · GOVERNANCE
Enterprise risk programs
Designed, built and oversaw risk programs, with clear ownership, escalation and Board-level reporting.
PROCESS · CONTROLS
Standardized operating models
Consolidated legacy processes into standardized operating models and strengthened policy, procedure and control design.
AI · REPORTING
AI in reporting & oversight
Applied AI automation and agentic workflows to reporting and oversight processes, with validation and human review built in.
AI · QA/QC · DATA
Automated QA/QC & AI-ready data
Hands-on experience automating QA/QC and training activities, validating AI outputs and preparing complex data for reliable AI use.
Contact
Let's connect
I'm always glad to talk about operational risk, governance and practical AI adoption, whether it's a role, a collaboration or an idea.