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OPTIMIZE YOUR PROGRAM

Custom AI agents built for your GRC workflows

You didn't sign up to chase screenshots for a living.
Get hundreds of hours back in your year with our agentic GRC platform designed around how your organization operates, not how a vendor thinks you should.

Agentic GRC

TRUSTED BY

Salesloft
GE Vernova
Dish
MapLarge
vmware
workday

The GRC Professional's Reality

You know what this job has become.

Your team chose GRC because the work matters. What they found was a job buried under manual tasks that don't require their judgment but consume all of their time.

Evidence collection is a full-time job that never ends

Chasing engineers for screenshots, organizing files with inconsistent naming, repeating the cycle across five frameworks every year. Always due, always incomplete, always someone else's priority.

Risk management runs on spreadsheets and good intentions

Registers get updated during audit prep, not when conditions change. Scoring varies by assessor. Treatment plans exist on paper. Escalations happen after something breaks.

Vendor oversight is growing faster than your team

Every new vendor means another questionnaire, another report, another risk assessment. Monitoring happens in batches, months apart. By the time you surface a problem, the exposure has been sitting there for far too long.

Policies drift from controls, and nobody catches it until audit

Policies say one thing. Controls require another. That gap widens every month, and the team responsible for catching it is too busy collecting evidence to look.

Agentic XLM Packages

The Emerging Problem

Vendor-governed AI creates a new kind of dependency.

Practically every GRC platform is calling itself "agentic" now. The problem is that while they promise automation, they deliver rigid, pre-built tools designed for mass-market appeal.

That means you end up shoehorning your processes around the agent's framework. The promised efficiencies never materialize as your team cleans up after the automation.

From a governance standpoint, letting agents run without controlling the guardrails yourself is the opposite of what your program exists to do.

What changes

WITH RISK3SIXTY'S xLM SUITES

WITHOUT xLM

  • Off-the-shelf agents
Pre-built for mass-market. You adapt your process to fit the agent's rigid framework.
  • Black-box governance
No root access or visibility into guardrails. You're trusting a vendor's controls on your program.

WITH xLM

  • Custom-built agents
Designed around your specific environment, systems, and control structures. The agent fits you.
  • Full transparency
Agents only access the systems and data you authorize, within boundaries your security team sets.

Built by us.

Governed by you.

We don't hand you a tool and wish you luck. Our team maps your environment, understands why each step in your process exists, and builds agents that fit from day one. Most organizations deploy initial agents within weeks.

We learn your process

We map your workflows, including the ones that never made it to paper.

We design agents to match

Every agent is built for your specific environment, systems, and control structures.

We manage and optimize

Our team deploys, monitors, and refines the agents over time. As your program evolves, the agents evolve with it.

xLM AGENT SUITES

Four suites of AI agents that address the highest-cost problems in GRC

Each one targets a category of work we've seen bury teams across thousands of engagements.

eLM

Evidence

LIFECYCLE MANAGEMENT

Automates the collection, processing, and validation of audit evidence.

  • Guided browser extension that captures screenshots, auto-names files, and learns your evidence needs
  • Bulk upload processing that parses, names, and maps files to relevant requests
  • Validation that checks currency, usability, and compliance, returning insufficient evidence with feedback

rLM

Risk

LIFECYCLE MANAGEMENT

Identifies risks, automates scoring, escalates anomalies, and tracks action plan completion.

  • Consistent risk identification and scoring aligned to your methodology and appetite
  • Comprehensive risk records with monitored treatment progress
  • Anomaly detection, triggered escalations, and managed review cycles

vLM

Vendor

LIFECYCLE MANAGEMENT

Conducts vendor reviews, automates questionnaires, and manages alerting and scoring.

  • Vendor report reviews and risk analysis across your portfolio
  • Outbound questionnaire management and inbound questionnaire automation
  • Enhanced vendor documentation with continuous risk scoring

pLM

Policy

LIFECYCLE MANAGEMENT

Drafts new policies, manages the review cycle, and validates alignment against controls.

  • Policy drafting based on control requirements and your existing documentation
  • Validation against controls to surface gaps before auditors do
  • Review management with notifications, approvals, and escalation tracking

75%
of manual GRC tasks handed off to agents
One client automated three-quarters of their evidence collection workflow within months of deployment.

98
Net Promoter Score
Industry average is 57. Our clients stay because the work speaks for itself.

2,000+
GRC implementations completed
A decade of engagements across every major compliance framework. That's the foundation these agents are built on.

Frequently Asked Questions

Those platforms bake rigid AI into their product for the broadest possible customer base. It works the same way for everyone and adapts to no one. When the automation falls short, your team picks up the pieces — and that last-mile cleanup often wipes out whatever efficiency it was supposed to create. xLM agents are built by practitioners who map your environment, understand why each step in your process exists, and build agents that match how your organization operates. When something needs adjusting, you tell us and we fix it. You're not submitting a feature request into someone else's roadmap.

No. Most organizations start with evidence lifecycle management because it's the most immediate pain point. Once that's running and the ROI is clear, they move into risk, then vendor, then policy. It's a maturity curve, and we meet you where you are. If your most pressing need is policy rather than evidence, we build there first.

Agents operate within boundaries you define. Your team controls what systems the agents can access, what data they can read, and what actions they can take. Nothing runs without your authorization, and nothing connects to your environment without your security team's sign-off. We work with organizations whose entire job is managing controls — we built the deployment process with that scrutiny in mind.

Most organizations deploy initial agents within weeks. We start by mapping your workflows, including the informal ones that never made it to paper. Our team brings predefined agent structures for each suite that serve as strong starting points. We then customize from there to match your specific environment. It's fast because we've done the underlying GRC work thousands of times.

MIT found that roughly 90% of enterprise AI pilots failed. The pattern is consistent: the technology works in a sandbox but never fully rolls out. Off-the-shelf agents get you 80 or 90 percent of the way there, and then your team closes the gap manually — fixing outputs, reformatting evidence, correcting what the automation got wrong. That cleanup erases the efficiency gains. The combination of professional services and technology is what makes the difference. Our practitioners map the agents to your specific use case so the outputs are usable from the start.

The four suites cover evidence collection and validation (eLM), risk identification and scoring (rLM), vendor assessment and monitoring (vLM), and policy drafting and alignment (pLM). Within each, agents handle tasks like auto-naming and mapping uploaded files, flagging insufficient evidence with feedback, scoring risks against your methodology, automating vendor questionnaires, drafting policies against control requirements, and surfacing gaps before auditors find them.

xLM is designed for organizations where off-the-shelf automation can't keep up. Typically that means 500+ employees, multiple compliance frameworks, and a GRC workload that's outpaced the team's capacity.

Pricing depends on the scope of your environment and the number of agent suites involved. Schedule a demo so you can walk us through your program, and we'll give you a clear picture. For context, organizations that would otherwise pursue this through a Big Four firm or large consultancy typically find our approach significantly more accessible.

Let’s optimize your GRC program.

Forward-thinking GRC leaders are already eliminating hundreds of hours of manual work while maintaining full governance. If you’re curious whether this could work for your organization, let’s talk.