Case Study #7: AI Stakeholder buy-in

Stakeholder Buy-in for Industry-Specific AI Teams

Developing Industry-Specific AI Teams that Can Better Assess AI Tools

Situation: Amid increasing interest in artificial intelligence, a recurring theme emerged: organizations were not only seeking technical solutions, but also teams that weren’t generalists. AI teams were needed for domain-specific AI business interests. Customers as well as internal stakeholders were asking complex questions about AI governance, ethical deployment, and domain-specific legal considerations, domain specific business questions that required industry expertise as well as AI to fully assess the ROI of AI tools— needs that were not fully addressed by existing AI service lines or innovation groups.
Action:
- First performed an assessment with client to understand clearly what type of sub-speciality team(s) were needed
- Followed with hands-on help interviewing, building, and organizing the teams.

Identified a consistent pattern of internal stakeholder demand through interviews and roundtables
Conducted a comprehensive assessment of existing internal capabilities and where current general AI teams fell short
Collaborated with AI, legal, and business line experts to co-develop refined view of what type of teams were needed
Uncovered areas where strategic alliances could be built internally to reduce the number of new hires that would be needed.

Developed specialty AI teams in health equity, electronic medical records, psychometrics, and HR (HR for client’s internal use)
Formed strategic alliances with other teams internally to extend the scope and skillsets of any existing or newly developed teams.

Successfully launched new AI teams with domain expertise that addressed critical market needs and elevated internal perception as their AI experts having the domain expertise to meet stakeholder needs.
New teams were able to create tailored, multidisciplinary solutions, significantly improving client satisfaction and stakeholder engagement.