ObjectivePM Consulting
CLOSING THE RESPONSIBLE AI GAP
Applied AI Delivery
Enabled through AI-specific governance, integrated across the entire AI lifecycle.
AI-specific extensions
Extending existing Governance, Risk, and Compliance (GRC) with ISO/IEC 42001, NIST AI RMF, and AI laws and regulations such as the EU AI Act.
A complete engagement
From gap analysis, to framework implementation, to project management oversight — as a continuous engagement.
Integrated AI framework
Extends across the full AI lifecycle — governance, methodology, and delivery working as one.
THE CHALLENGE
The Responsible AI Gap
Responsible AI is increasingly expected of organizations, and meeting that expectation requires AI-specific governance integrated into a lifecycle specifically designed for AI.
Artificial intelligence is reshaping how organizations operate, compete, and deliver value, but getting there responsibly raises governance challenges most conventional frameworks were never designed to address. This isn’t a technology problem. It’s a governance and methodology problem: many organizations manage AI delivery and AI governance as parallel workstreams, and that separation is where risk and compliance exposure takes hold.
This is the Responsible AI Gap. The foundations are usually already in place; what’s missing are the AI-specific extensions that make them fit for purpose, and the integration that makes them work together. The gap is closed by extending conventional governance and methodologies with AI standards and practices, and by embedding that governance into the AI lifecycle, equipping organizations with the tools to deliver trustworthy AI.
HOW WE GET THERE
From conventional to AI-ready
AI Gap Analysis
Inventory your existing governance and delivery methodology. Map both against AI-specific requirements — surfacing where conventional governance, methodology, and cross-functional AI literacy fall short.
AI Framework Implementation
Extend your existing GRC and methodology with AI-specific provisions tailored to your industry and AI supply chain position. Implement as an integrated framework that runs through initiatives, not alongside them.
PM Oversight
Provide project management oversight for AI initiatives, ensuring governance and methodology are actively enforced at every phase of development and deployment.