Agents

10x Efficiency
in GRC Work

Scout answers compliance questions instantly. AI Agents assess controls and process evidence in minutes, not hours. All with human-in-the-loop oversight.

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Scout

Your AI GRC assistant

Grounded in your controls, evidence, risks, and requirements. Cites sources.

ControlsEvidenceRisks

ARI™

Agentic Runtime Inspection™

Define checks in natural language; an agent runs them across systems on a schedule

Agents

Control & Evidence Agents

Assess controls in minutes; auto-generate evidence metadata. HITL on every output

Actions by agent · 7d

HITL approval

Agent runs · 14d

+312 agent runs this week

Challenges

Why AI Governance Teams Are Overwhelmed

Manual processes can't scale with growing AI portfolios and regulatory demands.

Issue 01

2-4 hours per control assessment

Manually reviewing requirements, checking evidence, writing assessments. For every. Single. Control.

Issue 02

No compliance expertise on tap

Questions about Article 9 requirements? Wait for the consultant. Or spend hours researching.

Issue 03

Evidence processing bottleneck

15-30 minutes per document: naming, summarizing, tagging, linking to controls. It adds up fast.

Issue 04

Can't trust AI without oversight

AI tools that make decisions without human review? Not in compliance. Too risky.

How Modulos solves it

AI agents that do the work, with humans in the loop

Scout, runtime inspections, and specialized agents collapse GRC work from hours to minutes. Every output is reviewed by a human before it counts.

CHAT · 1 of 4

Grounded governance Q&A

Scout has full context: your frameworks, requirements, controls, evidence, risks. Ask in plain English and get answers that cite the platform entities they came from.

Answers cited to platform entities

All hotspots

ARI™Capability 01Scheduled

Agentic Runtime Inspection™

Define a compliance check in plain English: an objective and pass criteria. An agent runs it against your connected systems on a schedule and returns a structured verdict with evidence. Each run highlights what changed since the last one. Quarterly manual audits become continuous verification.

Author

Plain-English test objective + pass criteria

Schedule

Daily · weekly · monthly · custom

Execute

Agent runs against connected systems

Verdict

Structured result, evidence linked

Verdicts attach to controls as evidence automatically. Drift between runs is surfaced in the test result, not hidden in a log.

SCOUTCapability 02

Scout · conversational researcher

Read-only assistant grounded in your platform context and connected sources. Cites the entities behind every answer.

Question

What controls satisfy EU AI Act Art. 9?

Answer

3 controls map to Art. 9 in this project: Risk Assessment Process, Bias & Fairness Testing, HITL Override.

cited: C-101 · C-102 · C-104

CTRLCapability 03

Control Assessment Agent

Submit a control. Get a readiness score, gap analysis, and prioritized recommendations with citations. You review before it counts.

Gap analysis

3 gaps · 5 cited recommendations

2–4 hrs → 5 min

FERMICapability 04

Risk Agent · Fermi

RI-40Demographic bias€517K

anchored on E-12 records exposed

mitigation factor 0.42 · 2 controls verified

status: quantified

Quantifies AI risk in monetary terms with full reasoning retained per run. Details live on the Risk pillar page.

EVICapability 05 · batch intake

Evidence Agent

bias-audit-q1.pdftagged
model-card-v3.mdtagged
vendor-soc2.pdfreview
hitl-log-mar.csvtagged

Drop a batch of files. The agent generates names, summaries, and proposes control mappings. You review before accepting. Per-document time drops from 15–30 minutes to about 2.

Human-in-the-Loop: every agent output is reviewed and approved before it becomes a record.