Agent Team

A team of AI agents that splits up multi-step work, with people approving the steps that matter.

A system we build for organizations
AI AgentEngineeringCloud Native
Virtual office: a simulation where AI agents work like staff, each in its own role
AI Office: each AI agent works as a member of staff in an office, with its own role and duties
Want to try a virtual office of AI agents to see how it works? Contact usTry the virtual office (opens in a new tab)

Agents are your organization's digital staff

Building an agent is like adding digital staff: each one has its own role and duties, works alongside your team, and people still approve what matters. We act as both consultant and HR team for your agents. We advise, analyze your processes and design each agent's job to fit its role, then choose the model that suits the work and teach it the job with your organization's knowledge and procedures, without using your data to train models.

Like an employee, every agent has
  • A role and a clear job description
  • Your organization's knowledge and procedures
  • Access only to the systems its job needs
  • A human manager who approves what matters
  • Measures and performance reviews

Consultant and HR team for your agents

  1. Analyze the processConsultant
    Study the real work with your team: which steps agents can take, and where people must decide
  2. Design the rolesConsultant
    Set each agent's duties, limits, permissions and hand-offs, as you would in a job description
  3. SelectHR
    Pick the model and tools that fit each role, for both capability and cost
  4. Teach the jobHR
    Give it instructions, your knowledge, procedures and worked examples, then test it on real cases before it starts. Your data is not used to train models
  5. Review and developHR
    Your team manages the agents. We help track their work through logs and measures, adjust instructions, and add agents as the work changes
The problem

Multi-step work hops between systems, is repeated by hand every day, and breaks down as volume grows.

The outcome

Each agent owns one job, they hand work to each other automatically, and they stop for approval before anything with real consequences.

Who it is for

Procurement and finance

Comparing quotes and checking documents before payment.

Customer service

Answering, opening tickets and following up.

Teams producing routine reports

Pulling data from several systems into one report.

How it works

  1. Receive the taskFrom email, forms, ticketing systems or LINE
  2. Split the workA coordinator agent assigns parts to specialist agents
  3. Act in real systemsRead and write in ERP, CRM or internal systems within set permissions
  4. Wait for approvalAnything consequential, such as a payment, needs a person's approval
  5. Report backSummarize what was done and log every step

Capabilities

Clear roles

Each agent has its own job and permissions

Human approval

You choose which steps wait for a person

Enterprise integrations

ERP, CRM, email and internal systems through APIs

Observability

See what each agent did and how long it took

Error handling

Hands over to a person when an agent is unsure

Add agents over time

Add new agents without rebuilding the system

Measured

What we measure with you

Targets are agreed during Discovery, and real results are reported after the pilot.

  • KPI 1Tasks completed
  • KPI 2Share of tasks needing correction
  • KPI 3Time saved per task
Your data, your control

Deployment options

Who operates itWhere data livesBest for
Managed cloudWe operate everythingA region you chooseFastest start, no infrastructure team needed
Your cloudWe deploy into your cloud accountStays in your accountOrganizations with an existing cloud policy
On-premiseInstalled in your data centerNever leaves your premisesData with the strictest requirements
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