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AGENT · GOVERNANCE

Find Governance Gaps Earlier

Stale pages, broken links, missing owners, overdue reviews — the agent surfaces every finding by severity and routes admins to a fix. The four writes are admin-only, each confirmed first.

Illustration of a person at a governance dashboard with an AI bot trend card, shield checks, an activity timeline and a power toggle, titled MangoApps Governance AI
10 Capabilities
Governance Tools
4 · Gated
Admin Writes
5 Categories
Issue Types Tracked
AirBorn
Aptean
Aunt Martha's Health & Wellness
Great Western Bank
HEB Construction Ltd
Hendrick Health System
Proterra
Rolex USA
Suburban Propane
Tatts Group
Upstream Rehab
AirBorn
Aptean
Aunt Martha's Health & Wellness
Great Western Bank
HEB Construction Ltd
Hendrick Health System
Proterra
Rolex USA
Suburban Propane
Tatts Group
Upstream Rehab

Why Content Governance Falls Off The Edge

Governance Agent attacks the four specific failures that turn governance from a quarterly audit into a daily mess — without changing how findings are detected or how content is owned.

Stale Content Lingers Past Its Expiry

Policies from 2023 still sit at the top of search results. Handbooks reference processes that retired a year ago. Employees acknowledge them because they look canonical, when in reality the canonical version moved on and nobody removed the old.

Broken Links Survive Because Nobody Tests Them

A policy references an expense form that was retired. The link still resolves to a 404. Employees hit the dead end, give up, and the policy looks broken when really the link should have been swept up months ago.

Findings Pile Up Without A Resolution Path

Inspection turns up 47 governance findings. Eight are critical. Without a routing surface, they sit in a spreadsheet that gets less attention each week. By the next audit, the same eight are still open and three new ones joined them.

Knowledge Gaps Show Up As Silent Zero-Result Searches

Twenty-eight employees searched "parental leave eligibility" last month and got zero results. The HR team had no idea. The gap that should have triggered an article creation stayed invisible because zero-result searches don't bubble up on their own.

Content Owners Vanish And Nobody Inherits The Pages

The author of half the IT runbooks left the company in March. Their pages still exist, still surface in search, still get acknowledged — but there's no owner to update them when the underlying tool changes. Six months later, employees are following instructions that reference a system that was decommissioned, and the orphaned page count is in the hundreds because nobody runs an owner-reassignment sweep when people leave.

Review Cycles Slip Quietly Because Nobody Owns The Reminder

Every policy is supposed to be reviewed annually. The dashboard shows 312 documents past their review date. Some are 30 days late; some are 18 months late. The owners get a monthly email digest they delete unread. Without a "what's mine, what's overdue, and what's one click to either acknowledge-as-still-valid or open-to-revise" workflow, the review schedule is a polite fiction.

Governance Agent At A Glance

Best Fit

Governance AI

Cross-app findings, gap analysis, admin-gated resolution.

Expected ROI
Cross-App
Visibility
Severity
Triage
4 Gated
Admin Writes
Includes
Findings Surfacing, Severity Triage, and Gap Analysis
Composes With
Policy Hub AI, SOP Hub AI, Libraries AI, and Communications AI

Inside Governance Agent — The Actual Capabilities

Every block below maps to a real tool the agent uses against your content governance data. Six reads cover summary, search, details, analytics, gap analysis, and app status. Four admin-only writes — acknowledge, resolve, dismiss, run scan — all require explicit confirmation.

Mockup titled 'Governance health': 47 open findings split into critical, medium and low counts, with three top findings listed (stale content, broken link, overdue review)
FINDINGS

Cross-App Findings With Severity Breakdown

The agent surfaces the platform-wide governance posture in one response — open findings count, critical count, breakdown by severity, top affected containers — and drills into filtered lists by app, issue type, severity, or status.

  • governance_summary — open count, critical count, breakdown by severity, top affected containers (optionally scoped to one app).
  • list_governance_findings — filterable by app, issue type, severity, and status.
  • 5 issue types tracked — stale_content, broken_link, inactive_source, missing_source, review_overdue.
  • get_finding_details — full JSONB details, resolution notes, and timestamps for a specific finding.
See AI Governance
Mock of a critical broken-link finding for 'Travel reimbursement v3', above an admin-only 'resolve_finding' confirmation with resolution notes, Confirm Resolve and Cancel.
RESOLUTION · GATED

Admin-Only Resolution, Confirmation On Every Write

The four risky writes — acknowledge, resolve, dismiss, run scan — only execute after explicit admin confirmation. The agent shows the finding, the proposed action, the resolution notes, and waits for the admin to confirm before anything changes.

  • 4 risky write tools — acknowledge_finding, resolve_finding, dismiss_finding, run_governance_scan — all require explicit confirmation and admin role, except that an owner may mark a possible duplicate they own as not a duplicate.
  • Resolve takes optional notes — auditors get the reasoning trail without chasing the admin for context.
  • Dismiss takes optional reason — every "not a finding" decision has a written justification.
  • Scan has 5-minute cooldown — protects platform from rapid-fire re-scans during incident response.
Illustration of a gap analysis showing 142 zero-result library searches in 30 days and a ranked list of the top four unmet search queries
ANALYTICS & GAPS

Analytics And Knowledge-Gap Discovery

Beyond findings, the agent surfaces governance trends (daily counts, type/app/severity breakdowns, average resolution time) and zero-result search analysis — the unmet queries that point to content that should exist but doesn't.

  • governance_analytics — daily trends, type/app/severity breakdowns, average resolution time for any period.
  • gap_analysis_report — zero-result searches and top unmet queries for a specific app (e.g., Libraries).
  • list_governance_apps — every app with governance enabled and its current status.
  • Audit trail on every action — read or write, every call is logged with the requesting user and the tool.
Screenshot of an employee dashboard for Anthony Rivera with shifts, time off and earnings, overlaid by a chat asking "When is my next shift?" answered with a swap link

Outcomes Teams Can Measure

The agent's job is to compress time-to-resolution on governance findings and surface knowledge gaps before audits do. Measure against your pre-agent baseline.

  • Time to resolution — median + p95 days from finding open to resolved, by severity tier.
  • Critical finding aging — number of critical findings open longer than the SLA target.
  • Stale-content sweep cadence — share of containers that get a freshness review in a rolling 90-day window.
  • Knowledge-gap conversion — share of top unmet queries that produce a new article within 30 days.
  • Audit prep time — hours spent assembling the governance report at audit time, vs the pre-agent baseline.
See The ADLC
Diagram titled 'Ask AI sits beside the app · doesn't replace it': an existing app's records list beside an Ask AI chat panel and four 'same' labels.

Four Admin Writes, All Confirmation-Gated

Governance Agent has 10 tools. Six are read-only — summary, list findings, finding details, analytics, gap analysis, list governance apps. Four admin-only writes — acknowledge, resolve, dismiss, run scan — all require explicit confirmation and admin role.

  • 4 risky write tools — acknowledge, resolve, dismiss, run scan — all require admin role + explicit confirmation.
  • Run scan rate-limited — 5-minute cooldown protects the platform from re-scan storms.
  • Resolution notes preserved — every resolve and dismiss captures the reasoning on the finding.
  • Audit trail on every action — read or write, every tool call is logged with the requesting user and the tool.
See AI Governance

WHAT TEAMS TRY INSTEAD

The four alternatives — and why none of them see findings across every content app at once

When compliance asks "what's stale across the platform?", admins reach for one of these four. None of them surface stale, broken-link, orphan-owner, and zero-result-search findings across Policy Hub, SOP Hub, Libraries, and Communications in one chat surface.

Instead of

Pasting governance reports into ChatGPT, Claude, or Copilot

General-purpose AI summarizing static reports

  • Governance Agent surfaces live findings — not a quarterly export the chatbot summarizes after the fact
  • Severity triage, gap analysis, and resolution routing run inside the platform, not as prose advice
  • Four gated writes (acknowledge, resolve, dismiss, scan) close findings instead of describing them
Instead of

SharePoint Content Governance Copilot, OneTrust AI

Vendor-trapped governance AI focused on one content silo or one risk lens

  • Findings span every content app at once — vendor governance AI sees only the silo the customer paid that vendor to govern
  • Joins findings with knowledge-gap signals from Ask AI search (zero-result queries) — vendor AI doesn't know what users couldn't find
  • One findings list for legal, compliance, and IT instead of one per vendor
Instead of

Custom internal dashboard

A compliance team's six-month build, then forever maintenance

  • Shipped already — engineering doesn't have to build the scanner, the severity model, or the resolution-routing UX
  • Resolution workflow built in; DIY dashboards usually plateau at "show me the spreadsheet"
  • Inherits new finding types as the platform adds new content apps — DIY scanners are frozen on what they knew at launch
Instead of

The manual fallback — "wait for the quarterly audit"

The default when governance tooling falls short

  • 47 findings, severity-ranked, resolution-routed in chat — beats a quarterly slide deck no one reads
  • Orphan-owner sweeps happen continuously instead of reactively after someone leaves
  • Zero-result search gaps surface to content owners while the gap still matters

PLATFORM ADVANTAGE

Governance Agent inherits everything the platform already runs

A custom governance dashboard has to plumb each of these. Governance Agent gets them for free.

Cross-app data plane

Findings span Policy Hub, SOP Hub, Libraries, Communications, and Wikis — one chat surface, no per-app scanner to maintain.

Admin-gated writes

Acknowledge, resolve, dismiss, run-scan all require admin role and confirmation. Scan has a 5-minute cooldown that protects the platform from re-scan storms.

Audit history

Every resolve and dismiss captures the resolution note. Every read and write is logged with the requesting user and the tool; the AI request log keeps detail for 30 days.

Answers in your language

Admins can ask about findings and resolutions in their working language. Ask AI replies in the language each person asks in.

Frontline-ready triage

Compliance owners triage findings from a phone — same mobile app, no separate governance console.

Provider-agnostic model tiering

Findings reads run on small / nano; gap-analysis narratives route up. Automatic per call.

INDUSTRY FIT

Industries where content governance moves the most weight

Governance Agent shines wherever stale content carries audit, safety, or regulatory consequence.

Healthcare

Clinical protocols, infection-control SOPs, and patient-safety policies stay current — stale content sweeps surface before Joint Commission asks.

Financial Services

Procedures and disclosures track to their review cycle; FINRA, SEC, and internal-audit reviewers see severity-ranked findings, not a 300-page index.

Manufacturing

Safety SOPs, equipment runbooks, and quality procedures keep ownership accurate — orphan-owner sweeps catch what people-departures left behind.

Public Sector

Policy review schedules, public-facing procedures, and constituent-facing knowledge stay current. AI requests go to the platform's configured model providers.

Retail

Brand-standard merchandising, return-policy procedures, and store-ops SOPs sweep continuously; zero-result search gaps surface to L&D before training cycles.

Professional Services

Methodology libraries, client-engagement playbooks, and proposal templates stay owned and reviewed — knowledge gaps surface before junior consultants need them.

WHY MANGOAPPS WINS

An embedded governance agent beats a SharePoint copilot, a horizontal chatbot, or a DIY dashboard on every axis

The argument compliance, legal, IT, and content owners all share — and the one a single-silo governance AI structurally cannot answer.

Cheaper than the alternatives

No per-seat governance copilot license, no per-seat ChatGPT license, no six-month DIY build — and compliance hours stop going to quarterly findings rosters.

More secure

Four writes, admin-only, confirmation-gated. Run-scan rate-limited. Every resolution note preserved. AI requests go to the platform's configured model providers, like every MangoApps agent.

Easier to deploy

Already deployed if the content apps are enabled. Turn the agent on and findings sweep the same day.

Easier to use

One chat surface for findings, severity, gap analysis, resolution, scan — instead of a per-app governance console.

Easier to manage

Finding rules, severity weights, and scan cadence live in the same admin console as every other app. One set of roles and permissions.

Easier to extend

New finding types (e.g., a new content app comes online) become governable the day they ship — no DIY scanner port.

AI is actually better

A single-silo governance copilot sees one corner. Only Governance Agent can also see zero-result search gaps from Ask AI, orphan-owner data from HRIS, and review-cycle slippage from every content surface — and route resolution to the right owner.

Customer Success

MangoApps Customers

Organizations that trust MangoApps to run every workflow across their workforce.

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Uniting A Dispersed Workforce Customer Case Studies
Fostering sustainability and inclusion Customer Case Studies

Frequently Asked Questions About Governance Agent

10 tools — governance health summary, list findings (filtered by app/issue type/severity/status), get finding details, governance analytics (daily trends, breakdowns, resolution time), gap analysis (zero-result searches and unmet queries), list governance-enabled apps, plus four admin-only writes (acknowledge, resolve, dismiss, run scan) — all confirmation-gated.

Only with explicit confirmation, and for almost everything the admin role. acknowledge_finding, resolve_finding, dismiss_finding, and run_governance_scan all check the user's role before running and show the proposed action for confirmation before anything changes. Non-admins can read the findings on content they can open, and the one change they can make is marking a possible duplicate they own as not a duplicate.

Five — stale_content, broken_link, inactive_source, missing_source, and review_overdue. Each has its own severity mapping (critical, medium, low) and an SLA target the analytics block tracks against.

gap_analysis_report takes an app slug and returns the zero-result searches and top unmet queries from that app's search log. A "parental leave eligibility" query with 28 hits and zero results is a strong signal a content article should exist; the report surfaces these so the owning team can create the article before the next audit.

Time to resolution by severity, critical-finding aging, stale-content sweep cadence, knowledge-gap conversion to articles within 30 days, and audit-prep hours saved. Compare against your pre-agent baseline.

Let's Talk

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Why Choose Us?

  • Frontline AI: Governed AI for every employee and workflow.
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  • Proven Results: 98% customer retention rate.

Rolled out to every employee at AutoZone (125,000), PetSmart (50,000+), A.S. Watson and Raley's (20,000) — and at larger retailers we are not permitted to name.

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