Extend Your AI Strategy Beyond Headquarters.
One platform for HQ and the frontline — shared employee identity, permissions, and AI governance
Put governed agents into frontline workflows — under the identity, permissions, and audit controls enterprise IT already runs.
How Many of Your People Actually Have AI in Their Day?
You know the license count. Do you know how much of your workforce those licenses reach? In a frontline-heavy business, the gap includes the people running the operation.
A Portfolio of Pilots
The board set an AI mandate. The current portfolio serves people who already had the best tools — without changing how frontline work gets done.
The Deskless Majority
Roughly 70–80% of the global workforce is deskless. Most AI architectures, licensing models, and user experiences still assume a desk, a laptop, and a corporate email address.
Application Sprawl
A portfolio of 40+ employee applications already creates integration and governance work. Each new standalone assistant adds another permission surface, integration, and audit trail.
THE EXPOSURE IS ALREADY INSIDE THE BUILDING
Ungoverned AI Isn't Hypothetical
You cannot govern what you cannot see — and you cannot see across tools that were never built to share. The independent numbers say the exposure has already arrived.
98% Use Unsanctioned Apps
Of employees already use unsanctioned apps — shadow AI and shadow IT (Varonis, 2025).
Only 37% Have AI Policies
Of organizations have policies to manage AI or detect shadow AI (IBM, 2025).
~$670K Added Per Breach
The added cost when shadow AI plays a role in a data breach (IBM, 2025).
40% Agentic by End of 2026
Of enterprise apps will run task-specific AI agents by the end of 2026 (Gartner).
Governed AI That Completes Work — Under Your Existing Controls
Agents work inside scheduling, safety, service desk, inspections, and HR. Every action respects your permissions and is recorded in a shared audit trail.
Agents That Finish the Workflow
With 1,200+ governed tools, agents can act across scheduling, shift coverage, safety, inspections, service desk, and HR. Writes require confirmation, show a preview, and enter the audit trail — producing a covered shift, a completed inspection, or a resolved ticket, not just an answer.
- AI that takes a job from request to verified result inside the workflow that owns it
- Confirmation before every write, with a preview of the change
- One audit trail for agent activity across apps
- Agents use the same doors as people — the same permission checks the UI runs, with no shadow API
One Identity and Permission Model
Connect SSO (SAML or OIDC) and SCIM once. Every app and agent uses the same employee record and permission model, so AI sees only what each person is allowed to see.
- One employee record for every worker — no corporate email required
- Answers scoped to the requester's permissions, not the tenant's data
- SCIM provisioning and deprovisioning shared across every app and agent
Replaces Applications Instead of Adding One
Move communications, operations, HR, learning, and service workflows onto one platform. Most customers retire multiple point solutions within their first 18 months, reducing vendors, SSO projects, and data silos.
- Replace 4–5 point solutions with one platform
- Cover the long tail without a new vendor — apps described in plain language, born governed on the same identity
- Share identity, permissions, and data across native workflows
- See workforce activity in one analytics layer
Enterprise Controls. Your Choice of Deployment.
Customer data is never used to train public models. Choose SaaS, Private Cloud, Customer VPC, or On-Premise, backed by HITRUST, SOC 2 Type II, ISO 27001, FedRAMP ATO, HIPAA, and GDPR.
- Customer data is never used to train OpenAI, Anthropic, Gemini, or any third-party model
- SaaS, Private Cloud, Customer VPC, and On-Premise deployment
- HITRUST + SOC 2 Type II + ISO 27001, with FedRAMP ATO available
Scale Your Experts' Judgment
Your best people know what good looks like, but they cannot be everywhere. MangoApps carries their standards into the workflows where employees need them.
Define What Good Looks Like
Your experts set the policies, standards, and rubrics the platform uses — instead of asking a general-purpose model to guess what matters.
Carry It Into Every Workflow
Apply that judgment wherever work happens — grounded in your policies, bounded by your permissions, and available on the device each employee already carries.
Keep People in Charge
AI backs people up; it does not replace them. The business case runs through retention, safety, quality, and throughput — outcomes that improve when people stay and succeed.
Run This Test Plan Against Us
Every architectural claim on this page is testable in a proof of concept. A vendor whose claims are architectural will hand you this list. A vendor whose claims are marketing will change the subject.
The permission test
With a limited test user, ask the AI for something that user is not cleared to see. The answer should be scoped or refused — and the attempt visible in the audit log.
The grounding test
Ask about content that exists on the open web but not in approved sources. The answer should decline rather than improvise.
The audit test
Take any agent interaction from the pilot and locate it in the console — who, what, when, outcome. If you cannot reconstruct it, the governance is a slide, not a system.
The build test
Describe a small workflow in the AI builder. Verify the output requires review before rollout, respects existing roles, and carries version history with rollback.
The external-agent test
Connect an MCP-compatible agent through OAuth. Verify consent is requested per scope, the agent acts as the connecting user, and its calls land in the same audit log.
The policy test
Declare an org-wide agent policy — say, approval required for a class of writes. Verify an external agent call obeys it the same way an internal agent does.
The kill-switch test
Pause a single agent and verify it stops everywhere while every other AI surface continues. Then check the other levels — per-app, per-business, platform-wide.
The escalation test
Attempt a high-impact action through an agent — a compensation change, a bulk operation — and verify it stops for explicit human approval rather than executing.
WHY NOW
The Cost of Waiting Compounds
The AI mandate came with a clock, and the loop rewards whoever starts it first. Waiting doesn't hold your position — it widens the gap.
Context Can't Be Bought Later
Every workflow you run earns context — who can do what, what actually happened, what good looks like. A platform started next year begins empty; one started now has a year of earned context no budget can buy back.
The Mandate Is Aging
Boards funded AI expecting workforce-visible results. Every quarter the pilot portfolio stays at the desk, the harder the "what did we get?" question becomes — and the more standalone assistants accumulate as governance debt.
Expertise Is Walking Out Monthly
Turnover doesn't wait for procurement. Every departure takes judgment the platform never captured — and the industry P&L pages put a number on what each one costs.
Recognized by Analysts. Built for Enterprise IT.
Gartner, Forrester, IDC, and ClearBox recognize MangoApps across intranet and employee-workspace categories. Enterprise IT gets one governed platform for extending AI beyond headquarters.
See All Awards
Visionary, Magic Quadrant
Intranet Packaged Solutions — 2025, 2024, 2023
Leader, IDC MarketScape
Integrated Employee Workspaces — 2025, 2024, 2021
Strong Performer, Forrester Wave
Intranet Platforms — 2026, 2024, 2022
ClearBox Choice Award Winner
Leading Product · Best for Value · AI Innovator — 2026
Bring Us Your Hardest Frontline Workflow
The most consequential technology decision this decade is not which AI model you choose — it is the foundation you ask that model to stand on. In a platform briefing, we'll map one frontline workflow to your identity stack, application portfolio, and governance requirements. For unusually complex workflows, our forward-deployed engineers can help design and benchmark the solution.
Plan Your Platform Briefing
Tell us which frontline workflow matters most. We'll map it to your identity, governance, application portfolio, and deployment requirements.
Why Choose Us?
- Workforce-wide reach: Governed AI for desk and frontline workflows.
- Shared controls: One identity, permission model, and audit trail across apps and agents.
- Deployment choice: SaaS, Private Cloud, Customer VPC, or On-Premise.
- Proven scale: 2M+ users and 98% customer retention.
Trusted by enterprise teams:
