From ungoverned AI to a disciplined operating framework for agents.
AgentVon exists because “impressive” isn’t enough. Real business work needs agents that behave predictably: with explicit scope, clear boundaries, and governance that holds up under edge cases.
Why we created AgentVon
When large language models became widely available, we saw both promise and problems. AI could make high-quality support accessible to SMEs, charities, and professionals — but most agents were built as one-off prompts: little governance, weak guardrails, and unpredictable behaviour.
Many tools looked strong in a demo but struggled under real-world load: hallucinations, unclear boundaries, no consistent approach to sensitive contexts, and no reliable way to manage longer-running work.
AgentVon was created to treat agent design more like engineering than experimentation.
What AgentVon stands for
Principles that guide how we design and release agents.
Human-first
Agents are designed to support people, not replace them. They help you see options, understand implications, and structure decisions — but the final judgment remains human.
Governed behaviour
AgentVon agents are built on a structured operating framework, not a single long prompt. Governance rules, safety constraints, and precedence are designed in from the start.
Transparency & challenge
Where appropriate, agents are encouraged to surface assumptions, highlight uncertainty, and respond to checks. Users are invited to challenge outputs and ask the agent to re-evaluate.
Practical technology
Technology isn’t used for its own sake. AgentVon focuses on right-sized agents that behave predictably and can be relied on in day-to-day work.
What we build
We build ChatGPT-based agents whose behaviour is deliberate and governed. The work begins with scope and constraints — then rules, checks, and structure — so the resulting agent is predictable rather than improvisational.
We don’t sell “raw AI capability”. We sell reliable outcomes — with boundaries you can understand.
Focused on SMEs
Our initial focus is on use cases where structured help is needed but budget is limited: practical tools for SMEs, charities, and learners.
We prefer clear problems, clear constraints, and practical delivery — without enterprise procurement theatre.
Boundaries are part of trust
AgentVon agents do not execute real-world actions, make irreversible decisions, or act as domain authorities (for example, legal, medical, financial, or tax judgment).
Curious what a governed agent could do in your business?
If you can describe the workflow and the constraints, we can help design an agent that behaves predictably — using familiar models, governed by an engineering-style framework.