01DISCOVER
AI Readiness & Value Sprint
A two-week assessment of workflows, business value, data, integration and risk.
- 5–10 prioritised use cases
- Production AI Scorecard
- ROI baseline and success metrics
- Architecture and 90-day plan
Enterprise AI integration
From AI idea.
To working workflow.
We identify the right use case, integrate AI with your data and systems and operate it as a production capability — secure, observable and measurable.
01 / Three clear stages
Strategy, implementation
and dependable operations.
Start from where you are. Every stage has a clear outcome, scope and decision for the next step.
02BUILD
Production AI Pilot
A bounded AI workflow in real systems with real users — not an isolated demonstration.
- Data and tool integration
- Evaluation and guardrails
- Human approval and audit trail
- Monitoring and cost controls
03OPERATE
AI Operations & Governance
Ongoing management of quality, change, security, cost and adoption.
- Quality and risk monitoring
- Model/prompt/tool change control
- Incident and feedback process
- Monthly business review
Why SDNiX
AI does not work
in an infrastructure vacuum.
Production AI depends on identity, network, cloud, data, security and observability. SDNiX designs them as one system without locking you into one model or platform.
- 01Model-agnostic architecture
- 02Least-privilege by design
- 03Human control where it matters
- 04Evaluation before automation
- 05Documentation and ownership
SDNiX / START
Assess your first AI workflow
We start with the workflow, value and constraints — not with a preselected technology.
Discuss an AI project ↗