We change
how you operate.
You end up with Operational AI in production and a team that runs it. We embed with your team, ship the system, train the people who will run it, and then we leave.
Operational AI runs a company’s operations in production, owned by the people who depend on it.
550+ investments, one institutional brain.
15,000+ creatives across six platforms, one CAC.
- Business case for the platform: implementation costs, expected gains and running costs.
- Use cases refined and prioritised, with build, buy or reuse decided per component.
- Insourcing versus outsourcing assessed case by case.
- Interviews with the people doing the work today: where the manual hours sit, and which exceptions matter.
- Target operating model defined: what you own and run, including IP ownership.
- Target architecture that connects the relevant source systems.
- Technology, integration and capability requirements assessed; the central assumptions validated.
A validated design: architecture, operating model and business case, with a committed prototype price. A go or no-go decision you control.
- Review workflows with a human in the loop, shaped with the users from week one.
- A shared UX definition that later use cases inherit, with knowledge transfer running throughout.
- Platform foundation: orchestration, data and document ingestion, monitoring, audit and governance.
- The first use case built on top of it, running on live data.
- Integration with the real source and operational systems, including write-back, feeding master data and analytics.
- Governance, security and operating processes established in your own cloud environment.
A working platform plus the first use case running on your own data, and a scaling decision made on evidence.
- Rollout across teams and regions. Your team runs the platform and leads new use cases, with Heyra on call rather than in the loop.
- New use cases need only their own domain rules and integrations.
- Platform improvements only where a use case demands them.
- Hardening in daily operation: uptime, monitoring, security and audit.
Use cases shipping on a platform you own and run, with the cost of each next case falling.
“Our engineers don't code much anymore. Claude does that for them. They talk a lot more together, which has been a very positive change. What we've done here with Heyra has really changed our way of working.”
Before you give AI the keys
Telling an agent not to do something is not the same as preventing it. This paper looks at the governance layer that needs to be in place before rollout: what an agent is allowed to do, what it is allowed to spend, and what it is allowed to reach.
Knowing your company brain actually works
A company brain can look healthy and still be quietly wrong. This paper closes the series with three checks: whether the brain finds the right pages, whether the agents maintaining it kept the meaning, and whether every page still earns its place.
The maintenance layer most teams forget to build
Most company brains drift, go stale and lose the trust they were built to earn. This paper is about the maintenance layer that keeps them worth using.
named a category: Operational AI. It means AI and agentic systems that do real work in production, and a team that operates differently after we leave.
Change how
you operate.
Tell us where you’re stuck. If operational AI can change the outcome we’ll show you how, and if it can’t, we’ll say so.
Talk to us