Identify valuable applications
Translate business and operating needs into requirements for users and technical delivery partners. Assess where AI or other technologies could improve decisions, working practices and performance.
Industrial AI & Technology Governance
Connect technology to useful work.
Develop useful AI applications and establish the governance to manage existing technologies, guide new investment and decide when wider deployment is justified.
Industrial AI & Technology Governance
When to engage Sand Hill
- Leadership needs to connect AI and technology investments with business and operating priorities.
- Overlapping tools, aging systems or technical debt are increasing cost, complexity or exposure.
- Promising applications need structured development and evaluation before broader adoption.
- Different functions or locations are adopting technologies without a common basis for decisions.
- Wider deployment depends on capabilities, working practices or resources that need development.
What we do
Assess existing technologies
Assess existing technologies against their business uses, dependencies and ongoing demands. Establish priorities for continued use, improvement, consolidation or replacement, including technical debt that constrains future choices.
Establish technology governance
Work with leadership and affected functions to define decision responsibilities, investment priorities and the evidence needed to advance, revise, defer or stop an initiative. Connect those decisions with the resources required for execution.
Develop and evaluate applications
Guide development, trials and pilot refinement around the intended business value. Assess technical performance alongside the information, capabilities, working practices and oversight required for effective use. Match the extent of evaluation to the proposed application and its risks.
Control wider deployment
Assess whether results and operating requirements justify expansion to additional functions or locations. Account for local differences, shared dependencies and resource demands that could spread risk or undermine performance.
Sustain value and manage transitions
Build responsibilities for ongoing evaluation, capability development and adaptation into everyday work. Plan the replacement or retirement of technologies with attention to business continuity and the value the organization needs to preserve.
What you receive
Application and investment priorities
An assessment of potential applications and improvements to existing technologies, tied to intended business value, requirements and significant uncertainties.
Technology governance structure
Defined responsibilities and a basis for decisions about technology selection, development, continued use and wider deployment.
Development and evaluation plan
A proportionate plan for developing and evaluating selected applications, with clear objectives, evidence requirements and decisions before further commitment.
Readiness and capability priorities
Actions to address gaps in information, systems, skills, resources and working practices required for effective implementation and use.
Deployment and transition roadmap
A sequenced plan for agreed deployment, improvement or replacement, accounting for dependencies, local requirements and the organization’s capacity to absorb change.
Value review and ongoing ownership
Responsibilities and review arrangements for assessing performance, maintaining useful capabilities and revisiting technology decisions as business needs change.
A few useful questions.
Does this cover our existing technologies as well as new AI applications?
Yes. The engagement can address an individual application or the governance of technologies already in use and under consideration. We help establish priorities for retaining useful capabilities, addressing technical debt and managing transitions. Wider organizational change can be included where the objectives require that scope.
Do we need to choose a platform first?
No. We establish the intended business use and the requirements a solution must satisfy. That provides a basis for evaluating platform and delivery options against the organization’s information, operating needs and existing systems.
Does AI replace operational judgment?
The appropriate role for AI depends on the application. Human responsibility, operational requirements, and oversight remain central to the design of the work.
Specific deliverables, authority, staffing and acceptance requirements are established in the engagement scope.
EXPERIENCE IN PRACTICE
Explore All Experience See the contribution.
TechnologySubstantial improvement in overall equipment effectivenessreported improvement; outage phase ongoing
Applying industrial AI to maintenance and operating decisions
Explore this Experience TechnologyAI and technology governance across the businessThe client now independently operates a governance model connecting business priorities, technology decisions and deployment across divisions and functions.Building corporate capability to govern AI and technology
Explore this ExperienceWhat are you working toward?
Start with your objective and the situation in front of you.