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operating contract v3 · budget 2.00
Ayion builds platforms where AI agents do real work inside real systems, and prove every action they take. One platform underneath: Ayion Meru. First vertical: JhiOn, for longevity and health span.
What every AI platform owes you
An agent that cannot be checked is a liability with a licence. An audit trail with no agent behind it is a filing cabinet. Ayion Meru does both, on one core, and either half can be bought without the other.
From a queue of work to a finished task
Meru Run
Agents complete bounded tasks inside your ERP, CRM, billing and support systems, under an operating contract that says what they may read, what they may do and what counts as done.
From a tool call to something an auditor accepts
Meru Assure
Business-level controls on every consequential action, approvals bound to the exact parameters, and reconciliation against what actually changed in the system of record.
One platform
Vertical platforms use Run to do the work and Assure to prove it. Both sit on a deliberately small Core. Everything below Core is a plug point, so a model, an agent, a system or a whole industry pack can be swapped without rebuilding the platform.
A stack in three bands. At the top, JhiOn for longevity and health span sits beside a dashed box for future vertical platforms in insurance, gaming and healthcare administration. Both feed into the middle band, Ayion Meru, which contains Run (agents, packs, workspace) and Assure (controls, evidence, reconciliation) side by side, with Core beneath them holding identity, policy, the ledger, durable execution, the model gateway and capture. From Core, dashed lines run down to four plug points: models from any provider, agents whether Ayion's, a partner's or external, business systems through connectors and change feeds, and packs and controls for a department or industry.
Vertical first
Each platform is built for one industry’s problem. The reusable parts flow back into Ayion Meru, which is why the second one is faster than the first.
Why now
The capability arrived first. The controls, the evidence and the reconciliation did not, and the gap is now the thing stopping deployments rather than the models.
Over 40%
of agentic AI projects are expected to be cancelled by the end of 2027, for cost, unclear value and inadequate risk controls.
Gartner, 2025A tool call
that returned success is not proof the work happened. Nothing checks the system of record afterwards unless something is built to do it.
Four vendors
of agents in one company means four control planes, four logs and no single answer to what your agents did last quarter.
Ayion Meru closes that gap, for the agents you build and the ones you bought.
How a pilot works
A paid pilot on your systems, your agents and your work. Each phase ends in something you keep.
The pilot programmeWeeks 1 to 2
Register your agents and systems. Capture starts on day one, in observe mode, touching nothing.
An Agent Action Register and your first evidence pack
Weeks 3 to 6
Controls run in detect mode. Every action is scored against them, and nothing is blocked yet.
A measured correction rate, and the controls that would have fired
Weeks 7 to 12
Approvals bind to parameters, thresholds enforce, and the first Business Pack runs real work.
Bound approvals live and one pack running in production
From the company
Building JhiOn, a platform where AI agents help people manage their health span, forced us to solve accountability before anything else: health data, human oversight, and a record of every action an agent takes.
The platform underneath JhiOn became Ayion Meru. The same need exists in every industry where software is allowed to act.
Read the origin storyBook a 90-day pilot on your own systems. You keep everything it produces.