Mynder governs in-house, third-party and Mynder-built AI agents on a foundation of rules, risk and evidence already in place.
AI agents, audit ready.
Organisations want to build their own AI agents — but won't set them loose without control. Mynder is the framework that lets them: mandates, receipts and documented compliance from day one.
Product in the market
Paying customers
Partner channel in motion
Testing in critical sectors
The gap
Everyone uses AI. The agents get built in personal chats.
Most organisations already use Claude or ChatGPT every day. But the agents get built in one person's chat, with their own instructions and files. They don't follow the organisation's rules, and they leave no evidence. So most stop before agents do real work. That is the gap Mynder closes.
How we help
A person sets the boundaries. The agent acts inside them. Every step is recorded.
We help teams go from using AI to running their own agents — with the boundaries and the record built in before the agent ever runs, not bolted on afterwards.
Boundaries, set by people
Every agent starts with a scope someone defined — what it can see, touch and decide. Nothing assumed, nothing left to default.
Action, not approval queues
Inside that scope, the agent moves at its own pace — no rubber-stamping, no waiting on a person for every single step.
A record, not a summary
Every action is captured as it happens — so it can be shown on demand, not reconstructed from memory after something goes wrong.
A person sets the scope
The agent acts inside it
Every step is recorded
Why this position
Models change. Accountability remains.
Control must survive technology shifts.
Language models and agent suppliers will change. The organisation’s rules, accountability, decisions and records must remain — without starting over whenever a provider changes.
Control is not the brake.
Clear boundaries let organisations use AI agents more boldly, find where they create value and give them more responsibility as they prove they work.
Mynder owns the layer across providers.
The tech giants build strong tools for their own agents. We build the layer that lets organisations use all of them without losing oversight.
Model A
Model B
Model C
The market validates the need
The giants are building control for their own agents
Microsoft, OpenAI, Anthropic and ServiceNow are all building control functions into their platforms. That is good. It confirms that governing AI agents is not a niche need, but something every organisation will require.
Few organisations use just one AI provider. The rules they follow, the authority they delegate and the accountability they carry apply across AI environments, finance, case management and supplier follow-up.
Claude
ChatGPT
Other AI environments
Business systems
Regulation
Policies and authority
Data and systems
Workflow
Human approval
Documentation
Decision
Approval
Evidence
A simple example
The agent does the work. Mynder decides when a person must step in.
An AI agent follows up suppliers, gathers security documentation, checks relevant requirements and proposes a risk assessment.
The agent gathers
Documentation, requirements and a proposed risk level.
Mynder checks
High risk, missing information or major consequences stop the flow.
A person decides
The right person gets the case and retains accountability and judgement.
Evidence is stored
Sources, assessment and approval are documented.
Already built
The groundwork is done. Now we are building the layer above.
Building agents has become easy. Knowing what they may do — which rules, risks, suppliers and evidence apply — requires a structured foundation. That is the engine Mynder has already built and put to work.
The regulation engine
“What applies to us?” Regulations with traceable sources, kept up to date.
Mynder Core
The core where assets, nonconformities and documentation belong together.
The supplier module
Follow up suppliers and risk on an ongoing basis.
Trust Profile
A living way to show evidence — shared with customers and partners.
A workspace for our partners
MSPs sell compliance and AI agents to their customers — a distribution channel that grows outside our own sales team.
MCP connectors to customers and partners
Mynder connects to customers' and partners' AI environments via MCP connectors — agents work where the work happens, and the evidence gathers in Mynder.
In-house agents
Mynder agents
Third-party agents
Plan
Authority
Execution
Regulation engine
Supplier module
Risk work
We're opening for new investors
We're raising capital to scale across Europe.
Conversation
Meet the founders
Insight
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