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.
Architecture patterns for governed enterprise AI.
Reference patterns for enterprise AI in which orchestration coordinates the work and explicit authority governs it.
Orchestration should coordinate the work. It should not become the authority for the work.
AI applications often allow model or agent logic to decide what context to retrieve, which tools to call and what action to take. That can be useful for coordination, but enterprise authority should not depend on probabilistic discretion.
MergeOn separates the two. Orchestration can participate inside a governed Runtime, while knowledge, policy, protection, human authority, published execution state and evidence remain outside model discretion.
Coordinate with AI. Govern with explicit authority.
Seven patterns for governed enterprise AI.
The application invokes a governed Business Capability rather than calling the model directly. The Runtime determines the permitted participant, applicable controls and context supplied for that activity. Model participation therefore occurs inside the declared execution boundary rather than defining that boundary itself.
Organize governed activity around enterprise responsibilities and capabilities rather than around individual model endpoints. A Runtime represents something the business does and is accountable for — which means it survives a change of model, a change of provider and a change of application, because none of those were what defined it.
A Primary Runtime coordinates work that crosses organizational boundaries. A Connected Runtime retains authority over what it exposes and how its published capability is fulfilled — it publishes a contract, not its internals. The coordinator depends on the declared capability, never on the other side's implementation, which is what lets each side change independently.
Where Human Approval governs an activity, authority is part of execution state — not a notification sent after the operation has already happened. The authorized person determines whether the governed operation may continue. A request to proceed is not permission to proceed.
Where a step can be deterministic, keep it deterministic. Lookup, calculation, routing, validation and formatting do not need a model, and putting one there converts a reliable step into a probabilistic one for no gain. Use AI where interpretation or generation is genuinely required — and make the operating environment around it deterministic wherever objective conditions permit.
MergeOn does not require CRM, ERP, finance, HR, identity or operational systems to surrender their authority so that AI can participate. Those systems keep owning what they own. The governed activity is granted bounded participation under declared conditions, which is a much easier thing to approve — and a much easier thing to withdraw.
Design the activity so the organization can establish what was requested, which Runtime and published release governed it, what knowledge and controls participated, whether human authority was required, which permitted participant executed and what outcome followed. MergeOn connects those facts to the governed operation as it happens rather than treating a model transcript as the record of the business event.
Not a log of the model. A record of the operation.
What every pattern here has in common.
It is not the application, and it is not the place authority lives.
Governed execution happens inside it, not around it.
What runs is a release you published, not whatever the code happens to be.
Policy and approval are conditions of the activity, not prompt text.
MergeOn does not ask CRM, ERP, finance, HR or identity to surrender what they own.
Not to the model transcript.