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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

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  • CLI

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  • 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

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Running agents on hardware you own

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    Yaju Agent Systems research lab

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  • Versions

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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
  • About

  • Careers

  • Newsroom

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
  • About

  • Careers

  • Newsroom

Explore the unknown with us

About Yaju Labs
Yaju AS
  • Agent Orchestration System

    Software Factory

    Agent Hub

  • MCP Gateway

    CLI

    Pricing

    Versions

  • AI Governance

    AI Observability

    Token Monitoring

    Optimizer

    AI Spend Explorer

  • Cost Control

    AI Transformation

    Solutions Overview

  • IT & Developers

    Financial Services

    Public Sector

    Engineering

    Telecommunications

    Healthcare and Life Sciences

    Manufacturing

  • Credential Vault

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    Yaju Labs

  • About

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Platform

  • Agent Orchestration System

  • Software Factory

  • Agent Hub

Product

  • MCP Gateway

  • CLI

  • Pricing

  • Versions

Functionalities

  • AI Governance

  • AI Observability

  • Token Monitoring

  • Optimizer

  • AI Spend Explorer

Solutions

  • Cost Control

  • AI Transformation

  • Solutions Overview

By Industry

  • IT & Developers

  • Financial Services

  • Public Sector

  • Engineering

  • Telecommunications

  • Healthcare and Life Sciences

  • Manufacturing

Deployment

  • Credential Vault

  • Self-hosted

  • Deployment Options

Resources

  • Blog

  • Customer Stories

  • Partners

  • Agent Academy

  • Yaju Labs

Company

  • About

  • Careers

  • Newsroom

Legal

  • Legal Center

  • Security

  • Privacy Policy

  • Terms of Use

Platform

  • Agent Orchestration System

  • Software Factory

  • Agent Hub

Product

  • MCP Gateway

  • CLI

  • Pricing

  • Versions

Functionalities

  • AI Governance

  • AI Observability

  • Token Monitoring

  • Optimizer

  • AI Spend Explorer

Solutions

  • Cost Control

  • AI Transformation

  • Solutions Overview

By Industry

  • IT & Developers

  • Financial Services

  • Public Sector

  • Engineering

  • Telecommunications

  • Healthcare and Life Sciences

  • Manufacturing

Deployment

  • Credential Vault

  • Self-hosted

  • Deployment Options

Resources

  • Blog

  • Customer Stories

  • Partners

  • Agent Academy

  • Yaju Labs

Company

  • About

  • Careers

  • Newsroom

Legal

  • Legal Center

  • Security

  • Privacy Policy

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Future(s) of Work

Navigating the impact of agents on work

By studying how agents are created, used, managed and improved, we look at what changes when software starts doing the work, and what an organisation needs in order to stay in control of it.

Read our latest

Yaju Team — 12 January 2026

The early footprint of automations, measured rather than predicted

Creating an agent, using it, managing it and improving it are four different problems. Most teams solve the first one quickly and then meet the other three at once.

  • An agent takes an afternoon to build and a system to operate
  • Without an owner, a cost and a policy, an agent in production is an unknown
The future of work debate has an evidence problem
Read the blog
The future of work debate has an evidence problem

Yaju Team — 12 January 2026

The early footprint of automations, measured rather than predicted

Building an agent is quick. Knowing what it costs, what it is allowed to do and whether it still works takes a system, and that gap is where the work actually is.

Read the blog
Read the paper
The future of work debate has an evidence problem
The future of work debate has an evidence problem

The future of work debate has an evidence problem

Every team meets these questions in the same order. Each one changes something about the way work is organised around the agents that do it.

Image for Context

Creating agents

How agents get built, who builds them, and why the first working version is never the hard part.

Image for Context

Using agents

Where agents actually do the work, how people hand tasks over to them, and what changes in a role once they do.

Image for Context

Managing and improving agents

Ownership, cost, policy and evaluation: what it takes to keep an agent working once it is in production.

Why this is a challenge

The four areas are really one problem: agents are easy to create and hard to operate. That distance is the reason Yaju exists.

Easy to create

Models, frameworks and tools have made the first working agent cheap to build. That is why so many of them exist, and why the count keeps growing inside every organisation.

Hard to operate

The difficulty arrives afterwards: no named owner, no cost attributed, no policy applied at the moment of action, and no way to prove what an agent did or what it spent.

Why Yaju exists

The Yaju Agent Orchestration System covers the part that begins after the demo, so that agents can be created, used, managed and improved like production software.