AI Readiness
Assessing an organisation's operational data and providing a prioritised AI roadmap with a gap analysis.
Three Ventures Technology, Inc. focuses on helping manufacturers, logistics operators, contractors, and related industries to manage their data and implement AI. The company aims to provide practical AI solutions without costly failed pilot projects, building upon its expertise in data and analytics since 2012. Their work centres on getting operational data in order and deploying AI to generate measurable outcomes.
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“Independent AI and data work - outcomes, not software.”
Three Ventures assists 'backbone industries' such as manufacturing, logistics, construction, oil & gas, unions, and owner-led/PE-backed SMBs in leveraging AI and data. They address the challenge of disparate operational data by first ensuring data readiness and governance before implementing AI solutions. Their approach is focused on practical, outcomes-driven deployments rather than reselling specific software platforms, often starting with a fixed-fee assessment.
The company emphasises its team's background in these industries, enabling a practical understanding of operational challenges. They highlight the importance of establishing a solid data foundation for successful AI adoption, noting that AI has raised the stakes for data governance. Three Ventures also addresses the legal and data privacy risks associated with AI, offering expertise that bridges the gap between technology and law.
Assessing an organisation's operational data and providing a prioritised AI roadmap with a gap analysis.
Establishing data ownership, quality standards, and governance policies to ensure production data is usable for AI and defensible.
Providing senior technology leaders (CIO/CISO/CTO/Chief Architect) on a part-time basis for transformations like ERP replacements or security uplifts.
Conducting independent technology and operational assessments of acquisition targets, including risk-scored reports and integration cost models.
Managing integration program offices for systems, data, and governance following an acquisition.
Advising on the legal and data-privacy risks associated with AI, including data ownership, obligations from training data, and liability.