Mary Hartwell pushes trusted data as the base for responsible AI

Mary Hartwell, founder of Hartwell & Co. in Palm City, Florida, is positioning data governance and enterprise data management as the starting point for AI readiness. Her work and recent profile highlight how organizations can use governed data, institutional knowledge, and clearer operating models to support responsible AI adoption.

Why it matters: - Companies moving fast on AI risk weaker decisions if the data underneath those systems is not trusted, governed, and well managed. - Hartwell’s approach ties AI readiness to enterprise data quality, governance, and the preservation of institutional knowledge. - Her message is aimed at business leaders trying to improve efficiency without eroding decision quality, client trust, or long-term business value.

What happened: - Mary Hartwell, founder of Hartwell & Co., was profiled by Influential Women for her work in AI governance, data governance, and enterprise data transformation. - Hartwell & Co. is a woman-owned advisory practice that helps organizations strengthen AI readiness, data governance, and enterprise data management. - Hartwell’s profile was published in Palm City, Florida, on October 22, 2026. - Hartwell earned the 2026 Data Governance Award.

The details: - Hartwell brings nearly three decades of experience helping global organizations build governance programs that are trusted, scalable, and tied to business goals. - Her advisory work includes executive guidance, strategic planning, and governance consulting. - She has built enterprise data governance programs at Syniti, IBM, United Technologies, II-VI Incorporated, and Axiall Corporation. - Hartwell has led SAP S/4HANA transformations, master data management initiatives, and AI readiness programs. - As former Global Practice Lead for Data Governance at Syniti, she unified a global practice across multiple regions and developed go-to-market strategies, advisory services, and delivery methodologies. - She has built teams, set up governance councils and operating models, and advised Fortune 500 companies on embedding governance into enterprise operations. - Hartwell holds a Bachelor of Business Administration from Mount Aloysius College. - She also studied Electrical Engineering Technology at Penn State University and holds SAP certifications in procurement processes and financial accounting. - Her writing has appeared in NODE Magazine, the Syniti Blog, Connectivity for IR, and TechNovice. - In her Influential Women piece, “Who’s Minding the Farm?”, Hartwell warns that companies racing toward AI efficiency can lose the expertise held by experienced employees. - Hartwell urges leaders to map critical knowledge, repurpose senior staff as reviewers and trainers of AI systems, and treat organizational knowledge as part of the data strategy. - Hartwell argues that AI can process information but cannot replace judgment built through hard experience. - Hartwell also says clients deserve to know who is behind the work they pay for. - Hartwell cautions that cutting experienced staff before capturing their knowledge can weaken decision quality, client relationships, and the ability to spot when a machine is wrong. - Hartwell says her success comes from hard work, determination, and staying goal-driven. - Hartwell says she leads by example, pays close attention to detail, and values open and honest communication. - Hartwell recommends that young women stay focused, keep learning, build professional networks, and bring a positive attitude to their teams. - Hartwell sees a major opportunity in expanding her field’s reach to help more businesses use strategic planning and technology to improve efficiency and support growth. - Hartwell is active in the International Association of Privacy Professionals, the Data Governance Professionals Organization, EDM Council, DAMA International, and ISACA. - The full profile is available through Influential Women.

Between the lines: - Hartwell’s core argument is that AI success depends less on hype and more on the quality of the data, the strength of governance, and the judgment of experienced people. - The profile frames governance as an operating discipline, not a compliance checkbox, which suggests a broader shift from rules-based oversight to business-enabling infrastructure. - Her focus on knowledge retention reflects a real tension inside AI adoption: automation can speed work while also stripping out expertise if companies cut too deeply.

What's next: - Hartwell will continue advising organizations on AI readiness, enterprise data management, and governance design through Hartwell & Co. - Her work with professional associations suggests continued involvement in industry discussions on responsible AI adoption and governance standards. - The broader challenge for companies will be turning AI plans into systems that preserve human judgment, institutional memory, and trusted data.