Women Future Webinar Urges Business Leaders to Train Teams for AI at Work

The Women Future Webinar series has turned AI strategy into a work and leadership story for women entrepreneurs, executives and small-business owners, warning that organisations which delay practical AI adoption risk falling behind competitors and their own employees.

The first Women Future Webinar of 2026, Future-Proofing Your Organization: Crafting an AI Strategy to Navigate Risks and Unlock New Opportunities, is designed for women small-business owners, executives, entrepreneurs and people interested in starting a business. Speakers included Ipsita Mohanty of Amazon, Mariesa Coughanour of Cognizant Consulting, Jaya Eripilla of Bank of America, and Casey Foss of Penta Group.

For SheMeansNews readers, the main point is practical: AI has moved from experiment to workplace capability. Panelists warned about the cost of standing still, noting that organisations face significant risks when they delay adoption. Security, governance and compliance remain valid concerns, but inaction is its own business risk because competitors and employees are already experimenting.

That is especially relevant for women-led small businesses and career-builders. Many women founders operate with smaller teams, tighter budgets and less margin for inefficient processes. Used carefully, AI tools can help with research, customer response, operations, marketing drafts, data review and decision support. Used poorly, they can create privacy issues, inaccurate outputs, bias and a false sense of automation. The difference is not whether a company has bought a tool, but whether leaders have created a strategy, guardrails and training.

Panelists encouraged organisations to start with business problems rather than technology selection — a useful corrective to AI hype. A small business needs to know which bottlenecks matter, what outcomes it wants, where human judgment remains necessary, and how employees can test tools without exposing sensitive information or damaging trust.

Mariesa Coughanour highlighted that employees may already be using AI independently, and panelists said organisations should build frameworks that support responsible experimentation. If leaders ban or ignore AI use, staff may hide it. If leaders provide clear rules and training, the organisation can learn faster and reduce risk.

The strongest career message was about people. Panelists urged leaders to invest in training, experimentation and workforce preparation. AI literacy is becoming part of professional confidence. The people who understand how to ask better questions, check outputs and connect tools to real business problems will have an advantage. Future-proofing work is not about replacing people with tools — it is about giving people enough skill, structure and authority to use the tools well.