Module · Compliance Enablers

AgentHub

Agentic AI for GRC — Claude-Powered, Human-Approved, Audit-Logged

The command center for the platform’s agentic AI: 13 specialized agents covering evidence, policy, questionnaires, risk, controls, audit, vendors, incidents, regulatory change, privacy, training, certification learning, and executive insights. Generation runs on Anthropic Claude (search embeddings on OpenAI — both disclosed), every action goes through human approval before it changes your records, and every task is logged with the model used, tokens consumed, and cost incurred — the same governed transparency we document in our Sage AI story.

Agent Hub
Agent Hub — Compliance Enablers platform
Before → After

The problem we solve.

Why teams switch to Compliance Enablers for agent hub.

Industry challenges

  • AI features in most GRC tools are black boxes — no record of what ran, what it cost, or which model produced the output
  • Teams want AI leverage, but auditors and regulators demand human accountability for every record change
  • Point-solution AI copilots multiply across tools with no shared governance or access control
  • Manual GRC busywork — classifying evidence, drafting findings, answering questionnaires — consumes expert hours

How we solve it

  • 13 Claude-powered agents specialized by GRC domain, all operating under human approval before records change
  • A complete task log — agent, task type, model, tokens, cost, status, time — for every AI action
  • Model management with live Claude status and latency, plus role-based agent locking and output visibility controls
  • Autopilot workflows with full monitoring, consistent with the transparency commitments in our Sage AI story
Capabilities

Built for depth,
out of the box.

Every capability is production-ready on day one. No add-ons, no extra subscriptions.

Flagship capability

13 Specialized GRC Agents

Purpose-built agents for evidence classification, policy generation, questionnaire auto-fill, risk treatment planning, control-to-framework mapping, audit planning, vendor tiering, incident playbooks, regulatory scanning, DSARs and privacy assessments, training content, certification study paths, and executive summaries.

Disclosed Models — Nothing Hidden

Generation runs on Anthropic Claude and search embeddings on OpenAI — both named subprocessors. The hub shows live model status, the exact model in use, and response latency — no mystery models, no silent switching.

Autopilot Workflows

Chain agent actions into autopilot workflows for recurring compliance work, with humans approving outcomes before records change.

Task Monitoring & Audit Trail

Every agent task is recorded — agent, task type, model used, tokens in and out, cost, status, and timestamp — a complete audit trail of AI activity.

Role-Based Agent Access

Agents can be locked to specific roles and groups with output visibility controls — your DPO sees the privacy agent, your TPRM analyst sees the vendor agent.

Cost & Usage Transparency

Total tasks, total tokens, and AI spend tracked in the hub and broken down by agent and model — AI never becomes an unexplained line item.

The impact

Why it matters.

Offload repetitive GRC work — evidence triage, questionnaire answers, finding drafts — to specialized agents while humans keep final approval
Full transparency into what the AI did, when, with which Claude model, and at what cost
Role-based agent access keeps AI output inside the same permission model as the rest of the platform
Autopilot workflows turn multi-step compliance chores into supervised automation
One governed AI layer across all 52 modules instead of scattered point-solution copilots
Unified data model

Part of a connected whole.

Agent Hub shares a unified data model with every other module. Zero silos, by design.

Live demo · see it on your data

See Agent Hub
in action.

Book a 30-minute demo and we'll walk you through agent hub tailored to your team, frameworks, and priorities.