An operating model aligned with data, IP and risk
NyxAI · Agent Pilot
AI agents that work inside the business.
A controlled pilot for one concrete business workflow — local, private or hybrid. With data protection, explicit roles, human approval and measurable outcomes.
Typical pilot scope: €20,000–40,000 · 4–6 weeks · one defined workflow
CONTROLLED AGENT LOOP
The agent works within defined tools and boundaries. People retain authority.
Approvals, fallbacks and traceable handoffs
Test cases, quality criteria and audit trails
A bounded scope instead of an uncontrolled platform bet
Why now
Many organizations already use agents. Few can govern them well.
The fastest path to value is not an autonomous universal agent. It starts with a bounded process, an accountable team and an architecture that keeps data, models and tools under control.
AI literacy
Teams need practical rules and experience to operate AI systems safely.
Privacy & IP
Sensitive process logic and organizational knowledge should not flow uncontrolled into external model loops.
Measurable value
A pilot must be measured in time, quality, risk or throughput — not in a demo.
The pilot program
From one workflow to a defensible agent.
NyxAI combines agent engineering with sovereign deployment, evaluation and decision intelligence. The pilot ends with a usable prototype, evidence from realistic tests and a clear next gate.
01
Workflow & target state
Define the process, roles, success criteria and human-in-the-loop.
02
Secure agent architecture
Connect models, data sources and tools with least-privilege access.
03
Prototype & evaluation
Test one agent on a representative dataset and improve it deliberately.
04
Handover & roadmap
Operating options, an AI literacy session and a decision for pilot two or production.
Fast-to-validate use cases
Where a focused pilot creates evidence quickly.
Knowledge & document agent
Make policies, technical documentation and project knowledge searchable — with sources and permissions.
Service & case agent
Triage inboxes, tickets or cases, create summaries and prepare work for approval.
Planning & analysis agent
Connect signals, prepare scenarios and support decisions with traceable alternatives.
Local LLM agent
Operate sensitive workflows with a local or private model without ongoing dependence on external model APIs.
Designed for bounded, evaluable processes. Fully autonomous high-risk decisions are outside the first pilot.
How it works
Four steps. One clear decision.
- 01
Fit call
Review the workflow, data, accountability and expected value.
- 02
Scope
Define pilot boundaries, metrics, operating model and safety controls.
- 03
Build & test
Build, evaluate and document a controlled agent.
- 04
Readout
Receive evidence, risks, cost shape and a clear recommendation for the next step.
A clear frame
Small enough to decide. Relevant enough to matter.
A typical pilot sits in the €20,000–40,000 range, depending on data access, integrations and operating model. A binding scope follows the fit call.
- 4–6 weeks typical duration
- 1 workflow, 1 accountable team
- local, private cloud or hybrid
- evaluation and handover included
Next step
Which workflow deserves a controlled agent?
Send us an anonymized outline. You can request a pilot conversation, receive the pilot brief by email or discuss a concrete POC directly.
Explore the portfolio