In operation — the AI operating layer

All your agents. One operation.

Ternaria is the operating layer where enterprises put their AI agents to work — many agents, one governed operation.

The assessment: 8 questions, 2 minutes.

  • Readiness
  • Agents
  • Operational Map
  • Governance
  • Impact
  • Próxima
Ternaria Operational Map: the real flow across connectors, datasets, and agents with visible inputs and outputs
The Operational Map: which data each agent touches, visible.
Real use case

It used to be a black box. Today it's an operation you can measure.

days hours

One of the largest Spanish-language content and broadcasting companies has a research team of about twenty people. Their job: producing briefs by reading and cross-referencing a corpus built over years. Each deliverable took days.

Today, an agent produces the first draft over the full corpus, inside the company's environment, with automatic quality control before it reaches the analyst. The team validates, refines, and decides.

And the director sees the whole operation — no longer a loose result landing on a desk: an operation.

Gartner estimates that over 40% of agentic AI projects will be canceled by 2027, most often for lack of controls. That is the difference between having AI and operating it.

Where to start

What's your problem?

Operational Map

Make visible what today is a black box.

The Operational Map shows which data each agent consumes and produces: inputs, outputs, and the full flow, inside your environment. No hand-built inventories.

See the Operational Map →
Ternaria screen for governing data repositories, sources, and connections
The signal

“Nobody knows which data each agent uses.”

The data point

40%of agentic AI projects will be canceled by 2027 for lack of controls (Gartner).

The platform

Six modules. One operation.

No matter how an agent arrives — custom-built, installed from the marketplace, or brought from outside — they all run the same way: visible, governed, and measured.

Ternaria Agents screen for requesting, installing, and connecting AI agents
How it works

AI proposes. Your team reviews. Ternaria confirms and records it.

This is how every deliverable runs inside Ternaria. The decision never leaves your people's hands.

1

Propose

The agent produces the first draft: a brief, a report, an answer. It works on your data, inside your environment.

2

Review

Your team validates and refines. Whatever requires judgment stays with people.

3

Confirm and record

Ternaria confirms the result and keeps the record: who approved, which data was used, what it cost. Every deliverable adds evidence, not doubts.

How mature is your AI operation?

8 questions. 2 minutes. Recommendations for your team.

Measure your maturity
Próxima

The brain of your entire operation.

As you integrate your agents — whether they live in Ternaria or outside — your AI stack stops being a collection of loose tools and becomes the operation of all your automated processes.

What works

All your agents with their results in one operation. You see which ones contribute, and how much.

What doesn't

You see which ones fail or don't move results, and where the improvement is.

What if

Try alternative scenarios — moving an agent, changing a flow — without touching the real business.

Everything in memory

What's learned in each deployment is recorded and compounds: your operation improves with every deliverable.

Who it's for

For companies that already decided to use AI and now need to operate it.

Leadership

See the whole operation: which agents run, what each deliverable costs, what value each one contributes. Decisions backed by evidence, not demos.

Business & operations

Delegate repetitive work to agents and keep what requires judgment. Know whether your area is ready before deploying.

IT & data

Every agent with its inputs, outputs, and permissions visible. Who approved what, with evidence. No shadow agents.

FAQ

The essentials, explained simply.

Does Ternaria replace the agents I already have?

No. It connects them. Your external agents join the Operational Map: inputs and outputs visible, results available to the rest of your operation.

What does “operating” AI mean?

Having AI is hiring agents. Operating it is knowing what each one does, which data it touches, who approved it, what it cost, and what it contributed. Ternaria is that layer.

Do I need a technical team to get started?

Not to get started. You can request an agent tailored to your process or install a ready-made one from the marketplace. IT governs; business operates.

Does the AI decide on its own?

No. AI proposes, your team reviews, Ternaria confirms and records it. The decision always stays with your people.

Team

Founding team

Eduardo Carbia

Eduardo Carbia

CEO

Former COO & co-founder with an exit. Ex Microsoft. Ex Oracle. Leads data and AI teams focused on business outcomes.

LinkedIn
Edmundo Arzate

Edmundo Arzate

Advisor

Go-to-Market strategist for Latin America at Amazon Web Services (AWS).

LinkedIn
Contact

Tell us what you want to put to work.

If you already have agents scattered across the company, or you know the first process you want to delegate, book a demo or write to us at hola@ternaria.ai.