Industry solutions

Energy and resources

Strengthen business-platform resilience and connect technical knowledge and operational data with clear safety and governance boundaries.

Resilient business platformsControlled technical knowledgeReliable operational insight

8 use cases across 3 service areas

Framework connections explain relevant planning considerations, not a certification or a finding that a rule applies. Confirm scope and obligations with accountable stakeholders. Explore the ten framework references.

Security

Establish consistent cloud security posture

Expanding Azure workloads use inconsistent baseline controls.

Approach

Review the authorized cloud scope, assign remediation ownership, and establish policy and protection baselines.

Deliverables

  • Cloud control-gap assessment
  • Prioritized baseline implementation plan

Success measures: Critical findings and policy coverage.

Requirements to consider

Industrial control and safety systems remain outside this general cloud scope.

Framework connections

  • ISO/IEC 27001:2022Keep cloud configuration evidence and risk treatment decisions within the defined information security management scope.
  • NIST CSF 2.0Use current and target risk outcomes to prioritize cloud posture gaps, assign remediation owners, and review exceptions.

AI Business Solutions

Retrieve approved asset knowledge

Technical teams need current documentation from distributed sources.

Approach

Ground retrieval in approved records with provenance, access checks, and escalation for uncertain guidance.

Deliverables

  • Knowledge-source and ownership design
  • Evaluation and citation requirements

Success measures: Source freshness and answer usefulness.

Requirements to consider

Qualified engineers verify technical guidance; no autonomous operating decisions.

AI Business Solutions

Coordinate field-service exceptions

Operational requests and exceptions cross multiple manual handoffs.

Approach

Map authorized administrative workflows, connect business records, and define approval and escalation paths.

Deliverables

  • Future-state process map
  • Integration and decision matrix

Success measures: Exception age and repeated handoffs.

Requirements to consider

Safety approvals and operating procedures must not be bypassed by automation.

Cloud & AI

Build reliable asset and performance reporting

Teams struggle to reconcile asset, cost, and historical performance information.

Approach

Unify approved data into governed products with quality, ownership, and reliability requirements.

Deliverables

  • Data architecture and definitions
  • Monitoring and quality acceptance plan

Success measures: Freshness, quality-rule coverage, and reporting consistency.

Requirements to consider

Analytical outputs inform accountable decisions rather than controlling equipment.

Framework connections

  • Purdue ModelMap approved asset-data movement across enterprise and industrial boundaries; analytics must not control equipment, and operational-technology changes need separate specialist authorization.

Security

Connect contractor-related security investigations

Business-system alerts involving external identities lack consistent investigation context.

Approach

Correlate authorized identity and endpoint telemetry, establish investigation ownership, and exercise approved escalation paths.

Deliverables

  • Detection coverage and identity context map
  • Investigation and escalation runbooks

Success measures: Triage quality and unresolved coverage gaps.

Requirements to consider

Industrial control systems and operational safety decisions require separately authorized specialist scope.

AI Business Solutions

Assist project-office knowledge work

Project teams repeatedly assemble approved reports, policies, and planning context.

Approach

Pilot Copilot for administrative drafting and knowledge tasks with scoped content, verification guidance, and readiness review.

Deliverables

  • Project-office readiness assessment
  • Pilot and adoption measurement plan

Success measures: Task usefulness and source-verification effort.

Requirements to consider

Engineering, environmental, and safety conclusions require qualified professional validation.

Cloud & AI

Govern technical knowledge applications

AI-enabled knowledge tools lack consistent hosting, access, and release controls.

Approach

Define a controlled application foundation for approved technical content with identity, evaluation, monitoring, and usage budgets.

Deliverables

  • AI platform and access architecture
  • Evaluation and operations readiness criteria

Success measures: Task quality, source accuracy, and unresolved release risks.

Requirements to consider

Knowledge assistance must not issue autonomous equipment or safety instructions.

Framework connections

  • NIST AI RMFAssess technical-source provenance, uncertainty, and consequences of incorrect answers before releasing the bounded knowledge application.

Cloud & AI

Modernize energy business applications safely

Legacy business applications create costly dependencies and continuity risks.

Approach

Assess workload disposition and dependencies, then sequence migration around approved security, recovery, and performance requirements.

Deliverables

  • Portfolio and dependency assessment
  • Migration-wave and recovery plan

Success measures: Readiness gaps, recovery outcomes, and operating-cost visibility.

Requirements to consider

Maintain separation from industrial controls and obtain authorization for operationally consequential changes.

From context to a next step

Choose the challenge
that matters to your organization.

Bring the business owner, relevant systems and data, and your constraints. Define a bounded assessment or pilot with success criteria and an accountable decision.

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