1. Aligning stakeholders around a clear vision
Wfied executives, technical teams, and key stakeholders around a shared product vision.Defined strategic priorities to ensure business, user, and technical needs were aligned.
Facilitated workshops to build consensus and streamline decision-making.

2. Leading in-depth qualitative research
We interviewed 20+ users across various industries and 10+ sales representatives to ensure the new solution aligned with real-world needs.
These conversations provided valuable insights into industry-specific workflows, key pain points, and feature expectations, helping prioritize the most relevant features and create an adoption strategy.

3. Building a user-Centric adoption strategy
We designed a strategy that engaged user communities and ambassadors to drive adoption.Considered the diverse needs of thousands of users with deeply ingrained habits.Developed communication and training initiatives to ease the transition.
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4. Defining AI’s role & relevant use Cases
We led the exploration of AI's potential to enhance risk management efficiency.
Identified key AI-driven features, ensuring relevance to user needs and business goals.
Balanced automation with user control to maintain trust and usability.
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5. Managing a smooth internal transition
We navigated the challenge of modernizing a legacy tool while respecting the company’s long-standing history.Implemented change management strategies to facilitate adoption among internal teams.Addressed concerns around new workflows, ensuring minimal disruption.
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6. Enhancing agile & efficient product development
We supported technical teams in adopting more agile, iterative production methods.
Worked closely with designers and marketing to ensure a seamless user experience.
Streamlined collaboration between teams to accelerate delivery and improve product-market fit.