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Why MergeOn

Turn the knowledge you already have into governed context AI can use.

Policies, procedures, manuals, regulations and operating documents were written for people — not AI.

MergeOn Document Intelligence transforms them into structured Tier-3 Review Packs, preserving meaning, relationships, dependencies and source context. Accepted knowledge can then be governed in the Knowledge Center and supplied to AI at execution.

Better context. Less repeated processing. More efficient AI execution.

Explore Governed Knowledge

Build on MergeOn

The application asks for a business outcome. The Runtime governs how it is produced.

An integration calls a published Business Capability rather than a model endpoint, so knowledge, policy, protection, human authority and evidence stay part of the activity instead of becoming your problem to rebuild.

Everything below describes the contract you build against and the architecture behind it.

Explore the developer platform

Know where you stand

Most organizations do not have an AI problem. They have a clarity problem.

Before deciding what to build, it helps to establish what your organization already believes about ownership, governance and decision-making — and where those beliefs disagree with each other.

Start with an honest read of where you are. Everything else follows from it.

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Platform/Build/Runtime Builder

Build the governed activity. Then publish it.

Define the business capabilities a Runtime performs, design how the work happens, connect the models, knowledge, policies, protection and approvals it needs, then validate and publish a governed release.

Runtime Builder
01

Business activity gets rebuilt around technology

When process logic, controls and integrations are coupled to a particular model or provider, technology change becomes business change.

02

Controls get re-authored project by project

Policy, protection, approvals and knowledge should be part of the governed activity, not repeatedly reconstructed around each implementation.

03

Draft is not production

Enterprise AI needs an explicit path from composition through validation to a versioned governed release.

How it works

Compose the activity. Connect it. Publish it.

1

Define the business capability

Describe the work the Runtime should perform, its intended outcome and its boundaries.

2

Design how it works

Compose the process — decisions, reasoning, procedures, actions, approvals and human involvement.

3

Connect what it needs

Bind the models, agents, knowledge, policy, protection, approvals, tools and enterprise systems required by the activity.

4

Validate and publish

Check readiness, create a versioned release and publish the governed activity when it is ready to execute.

Details

What you get

Composition
Business capabilities and their processes are explicitly defined rather than buried inside application code.
Control
Policy, protection and approvals are bound to the governed activity and enforced at execution.
Connections
Models, agents, knowledge, tools and enterprise systems are connected as dependencies of the activity.
Versioning
Draft and live releases are separated, with controlled promotion of change.
Readiness
The activity is validated before it is published for governed execution.
Adaptability
Underlying models, providers and capabilities can evolve without requiring the business activity to be rebuilt around them.

Move past the pilot.

Put your first governed AI activity into production.