ABOUT GOVERNORA
Helping organizations put AI to work with control.
Every new AI application brings questions about access, rules, cost and accountability. Governora is being built to give organizations one place to apply those controls across connected AI workflows.
Governora is the control layer between your AI and your business. It checks what a managed request is allowed to do, selects permitted evidence and actions, and keeps a record your team can inspect.
The problem we solve
AI applications are often built one by one. Each team manages identity, credentials, tools, evidence, decisions, providers and logs differently, so authority fragments as adoption grows.
- Plan before tools or providers run.
- Make organizational decisions executable.
- Use capabilities instead of ambient access.
- Keep execution evidence and value together.
How we think about the product
Governora is a shared runtime authority, not another model or chat product. Managed execution is the primary boundary; the workspace and MCP companion are controlled clients and adoption paths.
How we start
We start with one real AI workflow. Together, we identify its users, the data it needs, the rules to apply and the results your team needs to see from a pilot.
Who is behind Governora
Governora is led by Sander Koster. We publish product boundaries, supported interfaces and measurement assumptions so teams can evaluate the current platform without relying on unexplained feature, partnership or savings claims.
- Named product lead.
- Current gateway and MCP interfaces documented.
- A public measurement method for token savings.
- No certification, partnership or savings claim without supporting evidence.
HOW IT WORKS
Four clear steps.
Each step stays connected to the same execution. This makes authority, external work and the final outcome explainable.
- 01
Measure
Map repeated prompts, context, questions, tokens, and model calls.
- 02
Choose memory
Find useful answers and context that can be stored and reused.
- 03
Set boundaries
Define source, owner, scope, freshness, approval, and reuse rules.
- 04
Start small
Connect one workflow and compare memory hits, model calls, and token use.
QUESTIONS
Simple questions. Direct answers.
What Governora does, what it does not do, and where it fits.
Is Governora tied to one AI provider?
No. The current pilot supports OpenAI and Anthropic connections and keeps routing policy, context and run evidence separate from provider credentials.
Who is it for?
It is for companies with several AI agents or applications that repeat prompts, context, model work, or answers.
How can we evaluate it?
Start with one real AI workflow. Measure its repeated context and calls, then identify one approved answer or context package that another agent could reuse.
Map one governed AI execution.
We will map the actor, decisions, capabilities, evidence, external calls and proof with you.
Plan a pilot review →