Methodology
The NIS Industrial Intelligence Framework.
“We do not begin with a platform recommendation. We begin with the operating environment, the business objective, and the decisions the technology must support.”
Phase 01
Discover
Objective. Build a shared, factual understanding of the operating environment and the decisions that matter.
Key questions
- — Which decisions should technology improve?
- — Where does critical data originate and who owns it?
- — What constraints — latency, continuity, regulation — apply?
Typical activities
- — Stakeholder interviews
- — System and data-source inventory
- — Infrastructure and security review
Deliverables
- — Current-state assessment
- — Prioritised opportunity map
- — Risk and constraint register
Phase 02
Architect
Objective. Define the target architecture and operating model before selecting platforms or vendors.
Key questions
- — What should run at the edge, on-premise, or in the cloud?
- — How will data be governed?
- — Who operates what, and how?
Typical activities
- — Target architecture design
- — Operating-model definition
- — Platform and vendor evaluation
Deliverables
- — Target architecture
- — Operating model
- — Roadmap and business case
Phase 03
Integrate
Objective. Connect sources and platforms into a reliable, secure data flow.
Key questions
- — Which integrations unlock the most value first?
- — How is security enforced across OT and IT?
- — How is data quality monitored?
Typical activities
- — Integration design and oversight
- — Data pipeline implementation
- — Security controls deployment
Deliverables
- — Integrated data foundation
- — Integration standards
- — Quality and observability baseline
Phase 04
Activate intelligence
Objective. Put analytics and AI into the hands of the people making operational decisions.
Key questions
- — Which use cases are ready for production?
- — How will models be monitored?
- — How do teams adopt new insight?
Typical activities
- — Analytics and dashboard deployment
- — ML model development and MLOps
- — Adoption and change support
Deliverables
- — Production analytics and models
- — MLOps framework
- — Adoption plan
Phase 05
Optimize
Objective. Sustain and improve value as the environment evolves.
Key questions
- — Is the platform delivering against its objectives?
- — Where are cost and performance drifting?
- — What should the next phase address?
Typical activities
- — Performance and cost reviews
- — Resilience testing
- — Roadmap refresh
Deliverables
- — Optimisation reports
- — Updated roadmap
- — Governance reviews
Your systems already contain the signal.
We help you make it visible, secure, and actionable.