From answers to controlled action

AI agents for real business processes

Agents research, plan and use approved tools. We develop boundaries, integrations and controls to provide reliable support with controlled autonomy.

Assess your agent workflow

An agent receives a goal and clearly bounded authority

A chatbot formulates answers. An AI agent can also retrieve system information, select tools, coordinate multi-step tasks and pass prepared actions to downstream processes.

States, permissions, stopping conditions and human approvals must be explicitly modelled for safe operation.

Toolsexplicitly approved
Statetraceable workflow
Humanrisk-based approval

From request to controlled action

01

Understand the task

The goal, context, user role and permitted scope of action are captured and validated.

02

Create a plan

The task is broken into traceable steps; critical paths and approval points are predefined.

03

Select a tool

The agent uses only approved functions, such as knowledge search, research, database queries or business system APIs.

04

Check the result

Intermediate results are checked for format, completeness, sources and defined business rules.

05

Approve or act

Low-risk steps can be automated; sensitive actions require explicit human confirmation.

06

Log activity

Tool calls, states, decisions and errors are recorded transparently for operations, audits and improvement.

Autonomy is not an on/off decision

01

Least privilege

Each tool receives only the access needed for its specific task.

02

Structured outputs

Machine-readable schemas make results verifiable and safe to pass to downstream processes.

03

Idempotency

Repeated calls must not cause uncontrolled duplicate bookings or actions.

04

Fallbacks

Timeouts, missing data and model errors follow defined fallback or escalation paths.

05

Evaluation

Realistic tests assess tool selection, intermediate steps, result quality and compliance with rules.

06

Observability

Latency, cost, success rates and error patterns are made visible across the entire workflow.

Our principle: The greater an action's impact, the tighter the permissions, validation and human control. An agent should reliably handle the right part of a process, rather than maximise autonomy.

Orchestrate tools and knowledge on one platform

Nexus Agents analyses requests, selects suitable tools and coordinates knowledge access, research and follow-up actions. Agents build on Nexus Knowledge and are protected by the Nexus Shield governance layer.

  • Knowledge access through Nexus Knowledge
  • Tool selection and orchestration
  • Deep Research as a research tool
  • Connect for integrated systems
  • Roles, permissions and audit logs through Shield
  • modular, extensible architecture

Which process needs more than an answer?

We break down the workflow and identify which steps can be automated, need oversight or are unsuitable.

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