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    Building agents is easy. Operating should be too.

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Choosing a model is an operations decision, not a benchmark decision

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Yaju AS
Sign in
Book demo

Platform

  • Agent Orchestration System

    Building agents is easy. Operating should be too.

  • Software Factory

    Turn your backlog into review-ready code

  • Agent Hub

    Browse, run, and share agents


Functionalities

  • AI Governance

    Policy enforced at the moment of action

  • AI Observability

    Observe and trust every agent

  • Token Monitoring

    Make every token count

  • Optimizer

    Same outcomes, lower cost

  • AI Spend Explorer

    Find overspend in two minutes


Product

  • MCP Gateway

  • CLI

  • Pricing

  • Versions


Featured

Choosing a model is an operations decision, not a benchmark decision

Use Cases

  • Cost Control

    Know what agents cost. Prove what they deliver.

  • AI Transformation

    Turn AI adoption into business transformation


Deployment

  • Credential Vault

    Org-level secrets, resolved at runtime

  • Self-hosted

    Run agents in your own environment


By Industry

  • IT & Developers

  • Financial Services

  • Public Sector

  • Engineering

  • Telecommunications

  • Healthcare and Life Sciences

  • Manufacturing


Featured

Running agents on hardware you own

Discover

  • Customer Stories

  • Partners

  • Yaju Labs

    Yaju Agent Systems research lab


For Learners

  • Versions

  • Agent Academy


Featured

Support triage is the best first agent most teams never build

Content

  • Blog

    The latest from Yaju, launches, and insights


Explorations

  • Future(s) of Work

    How will AI change the way we work?

  • Oran Models

    The generation teams run today


Initiatives

  • Scholars Program

    Finding the next generation of agent builders

  • Open Development Community

    Building agent tooling in the open

  • Catalyst Grants

    Backing ambitious work on agents


Featured

The future of work debate has an evidence problem
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Manufacturing

Agents on the factory side of the business

Manufacturing has decades of automation experience and very little patience for systems that cannot explain themselves. That makes it a demanding environment for agents, and a clarifying one.

Yaju Team · 22 April 2026

Walk into a plant with a pitch about autonomous decision-making and you will meet a room that has been automating things since before anyone said AI. They are not sceptical because the technology is new. They are sceptical because they have specific and hard-won opinions about what happens when a system acts on bad input.

Those opinions are usually correct, and they make the conversation better.

The line nobody should cross casually

Control systems are not a place for probabilistic software. Equipment that moves, heats or cuts operates under safety regimes that exist because the failure modes are physical.

Our position is straightforward: agents belong on the information side. They read, assemble, draft, flag and prepare. They do not adjust setpoints and they do not participate in a safety chain. This is not a limitation we expect to relax.

Stated plainly at the start, this usually makes the conversation easier rather than harder, because it is the concern the room walked in with.

Where the value actually is

Maintenance documentation. Decades of manuals, revisions and service records in inconsistent formats, where the relevant paragraph exists and finding it takes forty minutes. Retrieval with provenance turns that into a lookup.

Shift handover. The information exists across logs, notes and memory. A drafted handover assembled from the record, reviewed by the outgoing shift, is a small change that compounds daily.

Quality investigation. When a defect pattern appears, the work of assembling what changed across materials, settings, shifts and suppliers is slow and mechanical. An agent that assembles the timeline with citations lets an engineer start from analysis rather than gathering.

Supplier and compliance correspondence. High volume, structured, and largely drafting work.

None of this is glamorous. All of it removes hours from weeks.

What has to be true first

Data residency is usually decided before anything else. Production data frequently cannot leave the site or the organisation, which makes self-hosted or air-gapped deployment the default rather than an option.

Boundaries have to be enforced at the point of action. "The agent has read-only access to the historian" is a statement that must be true at the system level, not a configuration someone could change without review.

Every action needs an audit trail. In an environment where an incident may be examined by a regulator, an insurer and a customer, a record of what an agent did and what it drew on is not a nice-to-have.

The adoption pattern that works

Start with documentation retrieval, because it is useful immediately, has no path to physical consequence, and teaches the organisation how the system behaves before anything riskier is considered.

Give the agent a named owner on the operations side rather than in IT. Write evaluation criteria from real past cases. Set a budget that blocks. Widen only when the scores stop being interesting.

Next

The manufacturing and deployment pages cover self-hosted and air-gapped options. The Agent Orchestration System pages cover policy enforcement, audit and evaluation.

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Agents on the factory side of the business | Yaju