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AI Management AI is now a line item.
Treat it like one.

See every AI tool, subscription and workload your organisation pays for in one place, and decide what stays. AI gets the same cost control and oversight as the rest of your technology.

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The fifth asset class · one platform

One asset class

Four layers governed

  • Agents

    MCP

    Every tool call audited, scoped and quota-tracked.

    Model Context Protocol server

  • Models & experiments

    ML

    Runs, runsets, artifacts and dataset lineage.

    Model registry

  • Training compute

    GPU

    Executors rightsized, migrated and switched off.

    26-check recommendation engine

  • Seats & API keys

    SEAT

    Subscriptions found, ranked and reclaimed.

    SaaS licence engine

The data model and the policy engine are the ones already running the other four asset classes.

In short

AI spend is growing faster than anyone is tracking it.

Finance sees one AI invoice. Engineering sees a cluster of expensive computing power. Security sees an AI tool nobody approved with access to customer data. Each team holds part of the picture, nobody holds all of it, and the bill grows every month. CerteroX brings every AI tool, subscription and workload into one record, so you can see what is in use, what it costs and who signed it off.

  • Cost

    Stop paying for AI nobody uses.

    Unused AI subscriptions are found and reclaimed, and the computing power behind your own AI projects is checked for waste by the same cost engine that already runs across your cloud spend.

  • Risk

    Know which AI tools hold your data.

    Every AI tool in use is found, ranked by how widely it has spread and scored on the access it has been granted. You decide what is approved, what is blocked and what is left alone.

  • Effort

    One platform, not another tool.

    AI is governed the same way as your laptops, software and cloud, by the same team. If you already run other CerteroX products, adding AI needs no integration work.

Running AI platforms or AI governance? The full detail covers the shadow AI board, the four layers governed, the integrations and the questions teams ask us most.

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Start with shadow AI

AI you never budgeted for
is already running.

The demo opens on the shadow AI board: the assistants already in use, the seats nobody has opened in a month, the model APIs billing quietly and what a training fleet actually costs.

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No gated PDF. Just a populated environment, a technical person on the call, and an honest answer.