Working in Partnership with the Backbone of Our Economy - AI & Data
Turn your operational data into an asset
AI can actually use
An embedded governance engagement that builds the ownership structures, data standards, and policies your manufacturing operation needs - before your AI investments start, not after they fail.
Engagement at a Glance
The Problem We Solve
Your AI initiative is only as good as the data it learns from
Backbone operations have data. What they don't have is data that's consistent, owned, documented, and ready for AI - and without governance, that gap gets wider every year.
No one owns the data
Operational data gets created in the field, stored by IT, and claimed by everyone - which means nobody is actually accountable for its quality, completeness, or accuracy.
Inconsistent data across sites and business units
The same KPI calculated four different ways across your depots, sites, or divisions. AI trained on this data learns noise, not signal.
No policy for how staff use AI tools
Your people are already using AI. Without a governance policy, sensitive operational data and competitive information are moving through consumer platforms with no visibility or control.
Compliance exposure across regulated operations
Safety regulations, labor rules, environmental reporting, and industry certifications all require data traceability. Governance gaps aren't just an AI problem - they're a liability.
The governance reality
Data governance isn't a project. It's the
foundation everything else builds on.
How It Works
Four phases. Built to last.
We don't deliver a governance framework and walk away. We embed alongside your team until the policies are real, the ownership is clear, and your people can sustain it without us.
Foundation
Current-state data audit, source mapping across all operational systems, regulatory requirements review, leadership alignment on scope and priorities.
Policy Build
Data classification framework design, ownership assignments, quality standards, AI use policy drafting, tooling selection and configuration.
Embedding
Operations and IT team training, process integration, quality standard adoption in the field, change management, exception handling.
Sustain
Ongoing advisory as your operation evolves - policy iteration, compliance monitoring, periodic governance reviews aligned to audit cycles.
What You Get
Six deliverables that stay with your organization
Everything we build is designed to be owned and operated by your team - not dependent on a consultant to maintain.
Data Classification & Ownership Framework
A documented map of every significant data type in your operation, who owns it, how it's classified, and what the quality and retention standards are.
AI Model Governance Policies
Policies governing how AI models are trained, validated, deployed, and monitored - covering both internally operated and vendor-operated AI systems.
Operational Data Quality Standards
Naming conventions, measurement standards, and quality thresholds for your key operational metrics - standardized across sites, divisions, and business units.
Data Lineage & Traceability Documentation
Clear documentation of where data originates, how it moves through your systems, and how it can be traced back to source - critical for both AI and regulatory compliance.
Governance Operating Model & RACI
A durable organizational model - who owns governance, who enforces standards, how exceptions are handled, and how the model evolves as your operation changes.
Staff AI Use Policy
A practical, enforceable policy for how your people can use AI tools - covering approved platforms, data handling, IP protection, and acceptable use.
Ideal For
The right engagement
for your situation
This engagement works best when your organization is serious about AI - and ready to do the foundational work that makes it possible.
Multi-site operations with inconsistent data standards across depots, divisions, or regions
Operations in regulated environments needing data traceability for safety, labor, or industry compliance
Organizations that completed an AI readiness assessment and are ready to close the gaps
PE platforms standardizing data practices across a portfolio of backbone industry companies
Leadership teams that have seen AI pilots fail and want to build the right foundation before trying again
Engagement Details
Time & Materials
Scoped to your operation
Ready to build a foundation
your AI can rely on?
We scope every engagement to your operation. Start with a 30-minute conversation about where you are and what you're trying to build.
