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AI CAPABILITY · APP BUILDER

Describe The App. AI Builds It.

The AI Platform for the Frontline Workforce · AI built into every workflow, not bolted on

AI App Builder turns plain-language requests into governed mini apps — and, on a private cloud, widgets, agents and custom apps — each inheriting your roles, permissions and approvals.

3
Build Targets
0
Lines Of Code You Write
Always
Governed Output
Built In
Version History
Included
Admin Review
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

The Apps Teams Never Get

Custom internal tools sit at the bottom of every IT backlog. Spreadsheets multiply. Shadow tools spread. Teams improvise with whatever they can find. The apps that would actually move the business forward never get built.

Long IT Backlogs

Department-specific tools wait six to twelve months for engineering capacity that never frees up. Real problems get solved with email threads and spreadsheets instead.

Generic Tools Miss

Off-the-shelf SaaS forces your processes to bend to its data model. Your approval chain, your fields, your workflow — none of it matches.

Low-Code Still Drags

Drag-and-drop builders demand hours of layout, schema design, and trigger configuration. Business users stall. Developers find them too limiting.

Spreadsheet Sprawl

Critical processes run on shared Excel files with no validation, no audit trail, no permissions. Data gets corrupted. Versions drift. Compliance breaks.

Shadow Tools Spread

Teams sign up for one-off SaaS tools to get unblocked. IT loses visibility, security perimeter expands, and the data silos grow.

Change Requests Stall

Even when a tool gets built, every change request becomes another ticket. The app freezes the moment it ships and slowly drifts out of relevance.

Describe It. Build It. Govern It.

AI App Builder takes a plain-language description and creates a working experience: a dashboard widget, an Ask AI agent, or a custom app. It uses MangoApps roles, permissions, and governance so the result can be reviewed and rolled out responsibly.

Diagram titled 'Plugin AI Builder · plain language to deployed app' showing three steps: Describe a vendor portal, Build its code, and Govern the deployed app

Three Build Targets, One Conversation

On a private cloud, AI App Builder is not limited to one shape of output. Pick what fits the job: a custom app, a dashboard widget, or an Ask AI agent. The same guided conversation can produce any of the three. On our shared cloud you build mini apps, with no code.

Custom App (Full App)

Multi-page applications for structured work such as vendor portals, asset trackers, project intake, training logs, and custom CRM extensions. Built and run on a private cloud.

Widget

A focused tile that appears on the home dashboard or anywhere else in the platform. Pulls live data — open tickets, sales pipeline, attendance trends, compliance status — and renders it as a card, chart, or list for the people who need it most. Built on a private cloud.

Agent

A conversational agent surfaced inside Ask AI. Build a finance-policy expert, an onboarding helper, or a domain-specific assistant without writing technical specs. Built on a private cloud.

Six Capabilities Inside The Builder

From conversational refinement to governed deployment, every step of the build is guided — so you focus on the problem, not the plumbing.

Guided Refinement

The AI doesn't just take your first prompt and run. It asks clarifying questions, maps your pain points to features, and confirms the spec before writing code. The result fits the actual problem, not a guess.

Real App Output

AI App Builder creates working MangoApps experiences, not static mockups. Your team can review, refine, and extend the output as business needs change.

Governed Rollout

When the build is reviewed, users access it through MangoApps with your existing sign-on, roles, and permissions.

Verification Before Deploy

Every generated experience can be reviewed before it reaches users, helping teams catch issues before rollout.

AI-Assisted Edits

Open any app you've built, send the AI a new request ("add an approval step", "include an export"), and review the proposed update with version history available.

Template Library

Start from a proven pattern instead of a blank canvas. Save successful builds as reusable templates for your team. Upload screenshots or wireframes to guide the design.

Built For Real Work — Not A Sandbox

Built For Real Work — Not A Sandbox

AI App Builder is not a visual sandbox. Every experience it produces is connected to your business context, governed by your roles, and visible to administrators. The same controls that govern MangoApps AI also govern what your team builds.

  • Customer-specific by default: generated apps belong to your organization and are not shared across customers.
  • Role-aware output: generated experiences respect your existing user roles.
  • Works with MangoApps data: generated apps can support users, teams, files, posts, workflows, and other approved platform data.
  • Audit-ready: builds, edits, and rollout decisions remain reviewable, with version history available.
See AI Governance
How A Build Actually Works

How A Build Actually Works

You start by picking a target — widget, agent, or app. You describe what you want. The AI walks you through the design in conversation, maps each pain point to a feature, and confirms before building. Then it builds the experience, lets you review it, and supports rollout through the same governed process used for other AI experiences. You see the working app. You give feedback. It iterates.

  • Describe: plain language, screenshots, or a saved template — whatever fits.
  • Refine: the AI asks clarifying questions and confirms the plan.
  • Build & verify: review the generated experience before users see it.
  • Roll out & iterate: publish when ready, then keep improving with recoverable version history.
Watch A Live Build

Who Builds With App Builder

Custom apps used to belong to engineering. Now they belong to whoever has the problem.

Ops And HR

Onboarding checklists, equipment requests, policy attestations, training logs, vendor evaluations — the long-tail forms and trackers that never made the IT roadmap.

Department Heads

Custom dashboards that pull the right metrics for the team — pipeline status, open tickets, attendance trends — without waiting for BI to model the data.

IT Teams

Ship the long backlog of one-off internal apps faster, while keeping IT review and governance in the loop.

Managers

Shift handoffs, safety inspections, equipment checkouts, daily standups — built specifically for the rhythm of the floor, not adapted from generic tools.

Compliance

Audit-ready intake forms, policy acknowledgments, incident reports, and attestation tracking — with role-based visibility and full audit trails baked in from generation.

Citizen Builders

Anyone with a business problem and the right permissions. AI App Builder helps teams create useful, governed tools without waiting for a full custom development cycle.

Diagram of a seven-stage agent development lifecycle from Opportunity to Monitor & Improve, with a loop back to the start and a note that custom agents join the Agent Library

Same Lifecycle As Every Other MangoApps Agent

Custom agents built through AI App Builder are not second-class citizens. They follow the same governed lifecycle as shipped agents: identify the opportunity, design the experience, define success, launch carefully, monitor performance, and improve over time.

  • Joins the Agent Library — every custom agent appears alongside the 100+ shipped agents in the same governed catalog.
  • Same oversight — custom agents are visible to administrators with usage and outcome tracking.
  • Same access policies — org-wide guardrails on what agents can do apply to custom agents too.
  • Same lifecycle — pilot, measure, improve, retire through MangoApps Console.
See The ADLC

Customer Success

Custom Apps In Action

Connecting 20,000 Employees: The Raley’s Companies’ Success Story With MangoApps Customer Case Studies
Building A Connected Workforce Customer Case Studies
Scaling Rapid Growth Through a Unified Platform for Communication, AI, and IT Efficiency Customer Case Studies
Connecting 14 Locations With a Centralized Digital Platform Customer Case Studies
Leveraging A Digital Workplace Customer Case Studies
Why SharePoint Was Insufficient Customer Case Studies

AI Workplace Blueprint

Custom internal apps are one of the highest-impact uses of AI in the enterprise. This blueprint covers where to start, how to govern, and how to measure impact across your organization.

Use case prioritization framework
Governance and approval patterns
impact measurement templates
Step-by-step rollout roadmap
Download Free Blueprint
AI Workplace Blueprint

App Builder FAQ

AI App Builder creates a working MangoApps widget, agent, or app with roles, permissions, and governance. Your team can review, refine, and extend it over time.

Widget (a focused dashboard tile), agent (a conversational AI assistant in Ask AI), or app (a full multi-page experience). The same guided conversation can produce any of the three, on a private cloud; on our shared cloud you build mini apps, with no code.

AI App Builder works with your MangoApps context: your roles, permissions, workflows, and approved platform patterns. Generated experiences inherit your sign-on, access controls, and review process.

Yes. Version history is available in the builder experience, so teams can review changes and return to a prior version when needed.

Builds move from draft to review to rollout. Teams can verify the experience before users see it, and the previous working version remains available if a new update needs more work.

Yes. A mini app's records name your real people, and its rules open real tasks, ask for approvals and send notifications, with the same permissions a built-in app would respect. A custom app goes further — reading your locations, departments and schedules, requesting e-signatures, posting to the calendar and News Feed — and custom apps run on a private cloud; on our shared cloud you build mini apps.

Administrators choose who can create mini apps; only administrators and App Builder admins publish, so an app reaches people only when one of them publishes it, or an administrator opens it to chosen groups.

AI App Builder uses the same governed AI foundation as other MangoApps agents. Build context and generated output are handled under enterprise data agreements, and customer data is never used to train third-party AI model providers.

Traditional low-code platforms ask business users to drag fields, design schemas, and configure triggers — work that's faster than coding but still slow, and trapped inside a proprietary visual layer. App Builder skips the drag-and-drop step entirely. You describe the app in plain language; the AI does the design and build work. The output is a governed MangoApps experience your team can review and improve.

Let's Talk

Every team. Every employee. Every workflow. One AI platform — built for the frontline. Since 2008, trusted by 2 million+ users with an NPS of 78.

Why Choose Us?

  • Frontline AI: Governed AI for every employee and workflow.
  • Top Security: HITRUST, ISO & SOC 2 certified.
  • Exceptional UX: Delightful on mobile and desktop.
  • 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.

Trusted by legendary companies