Turn Your AI Agents Into Real Enterprise Operators That Can Successfully Interface with Your Production Systems

Form.io's Universal Agent Gateway (UAG) turns the JSON schemas you already use for forms, APIs, and workflows into dynamic context, guardrails, and data access for agents without retraining models or ripping out your stack.

Diagram of Form.io Universal Agent Gateway (UAG)

The Silent Failure Mode of Enterprise AI Agents

The Top Concerns for Gen AI Among Enterprises In are Scalability & Performance, Security Regarding Sensitive Information, Integration Challenges, Ease of Use, Cost, and Data Transparency.*

AI Agents in enterprises need to:

  • Interface with existing production systems, legacy, new, and anything in between.
  • Operate on real, governed data
  • Respect RBAC and existing auth
  • Follow actual business rules and human-in-the-loop workflows

But teams are hitting the same walls every time:

  • Integration complexities: "Every time we connect an agent to a real system, we end up having to hand-wire one-off implementations."
  • Security risk & governance: "We can't just copy all this data into a model or expose it over the open web."
  • Operational Complexity: "Every use case needs its own agent, its own integration service, its own glue code."
  • Context Chaos: "The model is smart, but it doesn't know our fields, our forms, our processes."

They DON'T have a model problem.
They DO have a context, control and integration problem.

It doesn't have to be this way.

* "Accountable Acceleration: Gen AI Fast-Tracks Into The Enterprise." Wharton Human-AI Resaerch and GBK Collective, October 2025

3 Alternatives You Might Be Considering

And Why They Hurt You

Most enterprises trying to solve the AI agent problem are faced with one of three unattractive paths:

  1. Train Your Own Fleet of Task-Specific Models

    • High cost, high complexity
    • Every new workflow = new training + governance overhead
    • Hard to keep aligned with constantly changing processes
  2. Lock into a Monolithic "Do Everything" Agent Platform

    • Vendor lock-in for your most strategic layer
    • Opinionated stack that may clash with your existing architecture
    • Limited control over how agents see and act on your data
  3. Build Custom MCP Servers and Agent Services for Each Use Case

    • Your best engineers become "plumbers"
    • Every integration becomes a one-off snowflake
    • Maintenance, security reviews, and compliance sprawl over time

What if there was a fourth path?

Form.io Universal Agent Gateway (UAG)

The Form.io Universal Agent Gateway (UAG)

The Bridge Between Enterprise AI and Enterprise Reality

Form.io has spent a decade helping enterprises standardize mission-critical workflows on JSON-driven forms, APIs, and RBAC.

The Universal Agent Gateway (UAG) takes that same JSON foundation and uses it to:

Enable agents to work inside your enterprise the same way your humans already do.
Form.io UAG: JSON to Agents
Instructing agents with the same JSON schemas that you use for forms, APIs, and workflows.

With UAG:

  • The same JSON definitions that power your forms, validations, APIs, and RBAC now define agent context, inputs, and outputs.
  • Updating a form isn't just a UX change, it instantly updates what an agent knows and is allowed to do.
  • Agents authenticate like users, inherit real RBAC, and are logged, governed, and auditable.
  • All of this is packaged as a configurable MCP Server, released as MIT-licensed Open Source, and designed to plug into your existing Form.io projects.
You don't rebuild your enterprise for AI.

You extend the system so you can standardize once on JSON-driven forms and APIs, then use UAG as the universal, open, self-hosted MCP layer connecting agents, humans, and systems.
Form.io UAG: JSON-Driven Agent Workflows

The Core Shift: From "Prompt Hacking" to JSON-Driven Agent Workflows

Most organizations are trying to solve context with brittle workarounds:

  • Prompt stuffing: giant, fragile prompts that break when the process changes.
  • Massive retraining: expensive fine-tuning just to get models to understand your domain.
  • Ad-hoc tools: custom MCP servers built per use case that your teams have to maintain forever.

UAG inverts the model:

1
Your JSON Schemas Become Agent Context

When you've already configured:

  • Form Definitions
  • Validation rules
  • Conditional logic
  • Data models
  • RBAC Policies
  • Auth integration
  • Form settings
  • Data routing

UAG treats these as the binding set of rules for agents:

  • Because a nurse doesn't want to read JSON, they want an intake form.
  • An AI agent doesn't want raw spec docs, it wants structured JSON describing fields, rules, and constraints.

UAG is effectively a form renderer for AI agents. It interprets your Form.io JSON the way your applications do, and exposes it as dynamic, precise context through MCP tools.

  • No duplication.
  • No parallel "AI configuration" universe.
  • No fragile prompt engineering.
2
Dynamic Context Updates Without Retraining

With UAG:

  • Update a form → update an agent's context.
  • Add a field → add a constraint or capability.
  • Publish a new version → instantly change agent behavior.
Change a form, change the agent.

You don't retrain a model to add "Preferred Language" to an onboarding flow.
You update the form, and the agent, via UAG,knows:

  • The field exists
  • Its type, validation rules, masks, and required status
  • Where to place it in the submission payload

This is the first time enterprises can iterate on agent logic the same way they iterate on forms.

3
Agents Get Real, Authenticated Access With Real RBAC

With UAG, agents:

  • Authenticate like any other user via your existing Form.io-based auth and SSO.
  • Inherit your enterprise RBAC, not some shadow permission model
  • Retrieve and route secure data dynamically, within your private network.
  • Execute actions governed by your existing Form.io Actions and audit trails.

Every step is:

  • Authenticated
  • Authorized
  • Logged

So instead of praying your "AI middle layer" behaves, you're operating inside a governed, auditable architecture you already trust.

4
Packaged as a Configurable MCP Server

Instead of building your own agent-service per use case, UAG gives you:

  • A turnkey MCP Server wired to your Form.io project
  • Native authentication, RBAC, routing, and validation
  • Native data model governance via your existing JSON schemas
  • Extensible Actions and Modules to push/pull from any existing system (Snowflake, legacy databases, line-of-business apps, etc.)

Your developers work with skills and patterns they already know:

  • JSON schemas
  • Form.io server
  • Actions and middleware
  • Familiar self-hosted deployment
So your teams can focus on designing workflows and guardrails, not reinventing yet another "AI integration layer."
What Agentified Workflows Look Like With Form.io UAG

What This Looks Like in Practice

It Doesn't Rely on Training Probabilities or Guesswork

A user OR an automated function sends a request to a UAG-enabled agent:

"Create a new customer: Joe Smith, CEO of ACME, with billing address in Dallas, and route him into your Tier 2 onboarding flow."

What happens with UAG in the loop:

  1. The agent calls UAG's tools to discover relevant forms and resources (e.g., Customer, Onboarding).
  2. UAG returns the actual field definitions, requirements, and constraints from your Form.io project.
  3. The agent uses that structured definition to assemble a valid submission object: not a guess.
  4. UAG validates, sanitizes, and authorizes the data using the same pipeline your human forms go through.
  5. UAG triggers your configured Actions/Modules to push data into your CRM, ERP, or any other system.
  6. The whole interaction is logged and auditable, tied to the agent's authenticated identity.
To the agent, it feels like a single, intelligent tool. To your enterprise, it feels like every guardrail you already trust and invested in is extended to AI.
Bridge AI Agents, Human Users, And Enterprise Systems With Form.io

Why Form.io Is Uniquely Positioned to Solve This

We're Not Just Jumping Into AI From the Sidelines

For years, enterprises across insurance, government, healthcare, banking, and large corporate IT have used Form.io to:

  • Standardize form-based data collection
  • Power mission-critical business process applications
  • Enforce RBAC, validation, and data governance across complex workflows
  • Self-host in highly regulated, security-sensitive environments

UAG is a direct extension of that proven foundation into the era of agentic AI:

  • Same platform. Same JSON. Same governance.
  • Now applied to AI agents as first-class actors.

If You're Responsible for "Making AI Real," This Is For You

If you’re a CTO, Head of Platform, or senior engineering leader, you’re under pressure to:

  • Turn AI from slides and demos into shipped systems
  • Avoid another wave of technical debt and shadow platforms
  • Protect the security, compliance, and trust you’ve spent a decade building

UAG is built to let you say “yes” to AI agents without saying “yes” to chaos:

  • Agents can triage internal tickets, but only within governed forms and RBAC.
  • Agents can initiate workflows across systems, but only through validated Actions you control.
  • AI can scale process automation without you rebuilding your entire architecture.

Without starting over. Advance the the system you've already built into an AI-native future with a platform that's fully deployed in your enterprise environment.

Form.io Universal Agent Gateway (UAG) Middleware Fully Embedded
Standardize your AI integration strategy around one open-architected, self-hosted, extensible gateway instead of scattering risk and responsibility across vendors.