For your team

Extend the fleet, without the sprawl or the lock-in.

You're accountable for agents you didn't build and integrations that never end. Tokoaido is the neutral layer: author your own agents, prove them with evals, and interoperate, deployed in your own cloud.

97% >$100k/hour
41% $1M–$5M+/hour
For 97% of large enterprises, an hour of downtime costs over $100,000; for 41%, $1 million to over $5 million.
ITIC, ITIC 2024 Hourly Cost of Downtime Survey, Part 2 (2024)
92% involve human error
Human error contributes to 92% of impactful outages, and failure to follow procedures is the leading cause.
Uptime Institute, Annual Outage Analysis 2026 (2026)
39% of IT team time
IT teams spend about 39% of their time building custom integrations between systems.
MuleSoft (Salesforce), with Vanson Bourne & Deloitte Digital, 2025 Connectivity Benchmark Report (2025)

How Tokoaido helps

What changes.

Author your own agents, no code

Describe an agent from a signal, a finding and an action; dry-run it on telemetry; publish at advisory.

Check them, gate their changes

Golden scenarios check the built-in agents for correct findings and unsafe targets. Changes to an agent are shadow-tested against its history and blocked if they regress.

Interoperate, don't relocate

External agents can be registered and run under the same governance. MCP tool servers are supported as a client.

Deploy in your own cloud

Our EU-hosted service, or self-host with Docker or Kubernetes. Fully offline runs without the LLM features.

Sound familiar?

The work nobody signed up for.

If you have said one of these this month, the rest of this page is for you.

At 3am the page says 'database latency'. It takes an hour to find the change that caused it.
SRE lead
Every business unit bought its own agent tool, and I am the one who answers for all of them.
Head of automation CoE
We have more integration scripts than people who understand them.
Integration architect
Security asks how we test an agent before it goes live. I do not have a good answer.
Platform engineering manager
Our workflows only run inside the vendor's product. Leaving would mean a rewrite.
Enterprise architect

Use cases

What you would use it for, first.

Each one starts from a problem you can name, and ends with something a person can see has changed. Live means it runs in the product today; pilot means we build it with you.

  1. 01

    Incidents triaged with context, fixed under approval

    Live today
    Today

    Alerts arrive one at a time and the on-call engineer correlates them by hand in the middle of the night.

    With the platform

    The remediation runner correlates and de-duplicates alerts, finds the likely root cause over the knowledge graph with a confidence score, and acts only within limits: anything high-risk or low-confidence waits for approval, and every fix is verified or rolled back.

    What changes

    On-call starts from a diagnosis and a proposed fix, not a raw page.

  2. 02

    Agents your experts build, inside the guardrails

    Live today
    Today

    Domain experts want agents; your team cannot review a hundred hand-written prompts.

    With the platform

    Experts describe an agent as a blueprint: a signal, a condition, a finding and a governed action. It compiles without code execution, dry-runs on telemetry and publishes at advisory, and the safety system is not a target it can express.

    What changes

    Agents get built by the people who know the work, on a surface you control.

  3. 03

    Workflows you can take with you

    Live today
    Today

    A process modelled in one vendor's tool cannot be read anywhere else.

    With the platform

    Workflows export and import as BPMN 2.0 XML, so they open in any BPMN modeler and come back.

    What changes

    Your processes stay yours, whichever tools you use next year.

  4. 04

    A connector from an OpenAPI spec

    Live today
    Today

    Each new system means another integration ticket in a long queue.

    With the platform

    Give the generator a system's OpenAPI spec and it produces a governed connector. When the upstream schema drifts, it proposes a patch and keeps the prior version for rollback.

    What changes

    Integration starts from a spec, not from a blank file.

Business value

Where the return comes from.

The levers, and the range other organizations have published for each. Ranges are typical of the category, not a promise and not our customers' results.

Outages that cost over $1M

1 in 5

One in five operators say their latest major outage cost over $1 million. Faster triage shortens every one.

Uptime Institute, Annual Outage Analysis 2026 (2026)

Integration pain

95% struggle

Almost every IT leader surveyed struggles to integrate data across systems. Vendor-sponsored survey.

MuleSoft (Salesforce), with Vanson Bourne & Deloitte Digital, 2025 Connectivity Benchmark Report (2025)

Teams that test their agents

~half run evals

Only about half of teams run evals before agents reach production. Vendor survey; the gap is the point.

LangChain, State of Agent Engineering (2025)

Restore time

Triage arrives with the likely cause and a proposed fix. Put your own incident numbers into the estimate below.

Run your numbers

Outage time you could take back.

Every input is yours to change, and the arithmetic is shown in full. Nothing is hidden in a multiplier.

Estimate
≈ €4.3M
outage cost avoided a year

6 × 3 × €100,000 × 20% × 12 months = €4,320,000

An estimate on the numbers above, not a measurement and not a customer result. In an Operations X-Ray we replace the assumptions with figures measured on your own systems.

Before and after

The same week, run differently.

On-call correlates alerts by hand at 3am.

On-call opens a diagnosis with a proposed, gated fix.

Agent tools multiply across business units.

Agents are built on one governed surface, with owners.

Workflows are locked in a vendor's format.

Workflows travel as BPMN 2.0.

Each integration waits in the queue.

A connector starts from the system's OpenAPI spec.

In practice · Example scenario

Author → dry-run → publish

A domain expert builds a governed agent in minutes, tests it against telemetry, and ships it at advisory, where it earns autonomy from its track record.

Capabilities in play
Agent authoring SDKEval & regression harnessExternal agents under governanceVendor-neutral connectorsDocker / Kubernetes deploy
See the platform

Operations X-Ray

Put one agent through its paces.

We author, dry-run and publish an agent with your team, and show you exactly where it is allowed to act.