The MergeOn Platform
The enterprise foundation for building, governing and operating AI at scale.
Explore the platform →THEMIS Mission Control NewUnderstand what is changing across your organization and bring the right decisions to the right people at the right time.
Runtime Digital Twin PreviewVisualize every runtime, capability and relationship across your AI operating environment.
Create governed AI activity once, with its knowledge, controls, approvals and execution requirements.
Runtime CenterOperate and observe governed Runtimes, activity, execution, evidence and readiness from one operational surface.
Governed KnowledgeTurn enterprise information into structured, governed context that AI can use without losing source meaning and relationships.
Policy & ProtectionDefine the controls that govern what AI may access, what it may do, what must be protected and when a person must approve.
Data ProtectionProtect sensitive values while preserving the business context AI needs to perform the governed task.
Human ApprovalRequire human authority where governed AI activity should not proceed on AI authority alone.
Golden ThreadReconstruct governed AI execution from request to outcome with connected execution evidence.
AI Evaluation & AssuranceVerify what can be proven, evaluate AI behaviour and establish evidence-backed readiness in context.
AI Model GovernanceGovern which models may participate, where they may be used, what evidence supports them and when their qualification must be reconsidered.
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 →Wherever critical knowledge, policy and AI execution have to work together.
Govern policies, controls, product rules and regulated decisions while keeping AI execution traceable.
Healthcare & Life SciencesTurn clinical, operational and regulatory knowledge into governed context while protecting sensitive information.
Logistics & Supply ChainStructure customs, trade, food, agriculture, transport and supplier requirements so AI can work from the right rules for the activity.
Legal & Professional ServicesTransform contracts, precedents, policies and matter knowledge into governed context with source-level evidence.
Industrial & Critical OperationsGovern procedures, technical documentation, safety requirements and operational knowledge across complex environments.
Public Sector & Defense Supply ChainControl how sensitive policy, procurement, compliance and operational knowledge participates in AI-enabled activity.
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 →Everything you need to integrate, extend and build on the MergeOn platform.
API ReferenceComplete REST APIs, authentication, schemas and integration endpoints.
SDKs & ExamplesAccelerate development with SDKs, sample applications and reference implementations.
Technical documentation covering platform architecture, configuration and deployment.
Integration GuidesStep by step guides for connecting AI providers, enterprise systems and business applications.
Architecture PatternsReference architectures and implementation patterns for enterprise AI deployments.
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.
Start the free benchmark →Take the free 12-question benchmark and get an immediate view of your organization’s AI readiness.
Start the benchmark Leadership Alignment AssessmentCompare leadership perspectives to reveal where your team is aligned, where views diverge and where that difference matters.
Explore the assessmentMergeOn was created to give organizations a governed foundation solid enough to put real AI-enabled work on.
Read our story →Why MergeOn exists and how we are building the enterprise control plane for governed AI execution.
CareersJoin the team building the control plane for governed enterprise AI.
Contact UsTalk to MergeOn about your organization, implementation or enterprise AI programme.
See how the models, cloud, data and enterprise technologies organizations already use can participate in governed MergeOn execution.
Implementation PartnersBuild a governed AI practice on MergeOn and help enterprises move from AI pilots into controlled production.
Become a MergeOn Implementation PartnerBring MergeOn into client engagements, build repeatable governed AI capability and register for partner enablement and future certification.
Connect the enterprise to the Runtime. Keep authority where it belongs.
MergeOn does not replace the systems that already run the business. It places a governed execution boundary around AI-enabled activity, allowing models, enterprise systems, knowledge and human authority to participate in a Business Capability while each remains responsible for what it owns.
Integrate participants into the activity. Do not collapse them into the AI.
Do not start with the model. Start with what the business is trying to do.
A MergeOn integration is organized around a Business Capability within a governed Runtime. Before connecting a provider or an enterprise system, four things have to be established — and once they are, which participants the activity actually needs usually answers itself.
What business activity is being performed?
What does the activity require?
What governs how the activity is performed?
What declared business result should it produce?
The integration serves the Business Capability. The Business Capability does not exist to serve an integration.
Connect the model behind the Runtime, not directly into the business application.
The application depends on the published Business Capability. The Runtime governs which permitted AI participant fulfils the probabilistic portion of that activity. That separation is what lets a model or provider change without forcing the application contract to change with it.
A replacement probabilistic participant remains subject to qualification and evaluation before participating in the governed activity.
The model participates in the operation. It does not become the operation.
Your CRM is still your CRM. Your ERP is still your ERP.
Existing enterprise systems remain authoritative for the facts and actions they own. MergeOn governs how an AI-enabled Business Capability interacts with them — it does not ask them to hand anything over, and it does not become a second place the same fact lives.
Customer and account authority.
Operational and resource authority.
Financial authority.
Workforce authority.
Identity and access authority.
Domain-specific operational authority.
Connect the system. Do not duplicate its authority inside the AI layer.
Bring accepted enterprise meaning into the activity.
Enterprise documents can move from source material into accepted organizational context through Document Intelligence, structured review and acceptance — and then participate in the activity that needs them.
The integrating application should not have to independently reconstruct organizational context every time it needs the capability.
The application supplies the request. The Runtime supplies the accepted context the activity needs.
Application access does not automatically become AI access.
This is where the word “integration” does the most damage. Connecting a system does not mean everything that system can see should reach a model. Three boundaries are involved, and they are not the same size.
What the enterprise application or system is authorized to access.
What the governed activity needs in order to perform its task.
What a participating AI is permitted to receive. MergeOn Protection governs this boundary.
Connect the data needed for the operation without turning connectivity into unrestricted model exposure.
Some integrations need a person in the execution path.
Human Approval is not a notification integration bolted alongside a process that has already finished. Where the governed Business Capability requires human authority, the activity is held at that boundary until the decision is made.
The AI may participate in preparing or requesting an action. The application request does not grant itself authority to complete it.
Route the decision to the person who owns it. Keep the authority in the governed execution.
Connect operating areas without building one unrestricted enterprise agent.
A Primary Runtime can coordinate enterprise activity while Connected Runtimes retain responsibility for the governed capabilities belonging to their operating area. The integration objective is not to give one AI participant unrestricted access across the enterprise — that design removes exactly the boundaries the organization depends on.
Coordinate across governed boundaries without erasing them.
Do not let the integration end at the returned value.
The caller needs its declared business outcome, and usually needs nothing else. The organization may later need considerably more — and if that was not retained as the operation ran, it cannot be assembled convincingly afterwards.
- The declared outcome
- What was requested
- Which Runtime and environment participated
- Which published release governed execution
- Which knowledge participated
- Which policy and protection conditions applied
- Whether human authority participated
- Which permitted participant executed
- What outcome followed
Integrate for the result. Retain the evidence of how the result came to exist.
One governed activity. Multiple participants. Clear authority.
That is the MergeOn integration model: the application requests governed business work; the Runtime coordinates the permitted participants and controls required to perform it; authoritative systems retain their authority; the caller receives its declared outcome; and the operation retains its evidence.
Integrate the enterprise around the activity — not around the model.
What integrating actually looks like.
Eight steps, in the order they actually happen. Note where the application appears — at step seven, once there is a published capability for it to target.
Define the Business Capability — task, input, instructions and output.
Place it within the Runtime and environment responsible for the activity.
Add the Governed Knowledge required by the activity.
Policy, Protection and Human Approval where required.
Permitted AI, agents, tools and enterprise systems.
Publish the executable release.
Have the application target the published Business Capability.
Execute, return the declared outcome and retain the Golden Thread.
Connect what the activity needs. Keep each authority where it belongs.
Bring AI into the systems you already run without rebuilding the enterprise around it.
MergeOn provides the governed Runtime boundary between business applications, AI participants, enterprise systems, accepted knowledge and human authority.