Mynder gives your AI agents clear guardrails, documents everything they do, and proves it to customers, banks and auditors.
Set your agents free.
Keep control.
The governance layer for all your AI agents, whoever built them. You set the rules. Mynder enforces them, stops what is risky, and documents everything.
Observe
Propose
Execute
Owner
The person accountable for the agent
Workflow
How the task must be performed
Workspace
The systems and data the agent touches
Stopped
Publish
Send externally
Approved
Change access
Executed
Update register
Create report
Start in the AI you already use. Connect Mynder Agents, describe the job in your own words — and get agents that follow your rules and document every step.
PROPOSED AGENT
Supplier follow-up
Procurement
Allowed to
Collect documentation, propose assessment
Human takes over
For high risk or missing information
Logged
Source, assessment and approval
Today, many agents are built in personal chats, with individual instructions and files. When an employee leaves, the way of working, the rules and the experience leave with them.
Centralised, not scattered
Instructions, rules and documents stay with the business, not in one person's account.
Stays when people leave
The agents and the knowledge they rely on remain when someone leaves.
Not locked to one model
Switch language model or provider without starting over.
Instructions
Rules
Documents
AI agent
You do not need a new tool to get started. Mynder Agents connects to the AI you use today.
Open your AI
Claude, ChatGPT or another AI environment you already use. You choose the model — not us.
Connect Mynder Agents
Ask to connect to Mynder Agents directly in the chat. No installation and no new login to remember.
Start building
Describe the job in your own words. Mynder sets up the agent, access and control points — you approve.
Claude
ChatGPT
Lovable
+ other AI environments
Documentation is not created afterwards. It happens while the agent works — so you can always show what was done, on what basis and by whom.
Clear mandate
Every agent knows what it must achieve — and what it is not allowed to do.
Assigned access only
The agent gets only the tools and data you have assigned. Nothing more.
Humans decide
When risk is high or judgement is needed, the flow stops and the right person takes over.
Everything is documented
Every action is linked to its source, requirement, approver and time.
Mynder divides work between people and agents using a fixed model. The result is agents you can predict — and explain.
Small, bounded tasks
Large jobs are divided into small steps with one clear task each. Less room for error — easier to control.
Deterministic flow
The workflow is decided in advance. The agent follows it — it does not improvise.
Answers with sources — not guesses
Agents work from rules and documents you have approved and show where the answer comes from.
Your data stays with you
Only what the task needs is shared. Everything else stays inside your organisation.
One agent per task
Each agent has one job. That makes it easy to understand, test and rely on.
Control that creates speed
When you know what agents do, you dare to let them do more. Control is not the brake — it is the accelerator.
Define the workspaces your agents belong to. Each has its own rules, access and a named person accountable for the result.
Contract review
Security
Access review
Incident response
Privacy
Processing register
Data subject requests
New workspace
Sales, operations, HR — you choose the structure.
Regulations, suppliers, risk and documentation. Agents work from the same foundation as you — directly from the chat.
Mynder Regulations
What applies to us? Regulations with traceable sources.
Supplier module
Follow up suppliers and risk — continuously.
Trust Profile
Living proof of how you work.
Trust Center
Share the profile with customers and partners.
Or safer to let them loose.
You always know what your agents are doing — and why.
AI is going into production — everywhere
Employees use ChatGPT. Customers use Copilot. Suppliers run their own agents. Decisions and actions are moving to AI faster than any governance model can keep up with.
A wave of regulation is hitting at the same time
Many EU and Norwegian regulations are in force 2024–2027: GDPR, NIS2, AI Act, DORA, the Transparency Act, the Security Act, the Norm. Each one requires provable control.
Pick a box to see what it does and what it connects to.
Mynder's agents suggest at every step. People approve.
The regulations you must follow — each one sets requirements.
The requirements are what the work in the modules answers
Requirements are grouped into five control areas
Maps risk, systems and tasks — and keeps the overview current.
The work here answers the requirements from Regulations
The result rolls up into the control areas shown in Trust Profile
Overview and risk management of suppliers and data processors.
Answers requirements from Regulations, e.g. third-party risk
Feeds the control area Third party and supply chain
An overview of the assets the business depends on.
Answers requirements from Regulations, e.g. security and operations
Feeds the control area Operations and security
Records and follows up incidents — nothing gets lost in email and folders.
Incidents are linked to requirements from Regulations and the modules
Incident follow-up counts towards maturity
Overall maturity level per control area, built from the work in the modules.
Builds on the work in Core, Supplier module, Assets and Incident register