Dayforce's pre-sales and solution advisory teams faced mounting pressure to scale operations without expanding headcount. Manual research, meeting preparation, and documentation consumed valuable time that should have been dedicated to strategic thinking and deal strategy. Critical information lived scattered across multiple systems—Salesforce, Gong, Power BI, Snowflake, and email—making it nearly impossible to build a unified view of each opportunity.

The situation was compounded by organizational friction. While frontline teams recognized the urgent need for AI solutions and were eager to adopt new tools, senior leadership required extensive committee reviews before approving any new technology. Previous broad rollouts of AI tools had failed to gain traction, as varied levels of AI readiness and generic training left users unclear on how to apply these tools to their specific roles.

Most critically, the evaluation process itself had become a major bottleneck. Teams assessed multiple tools with overlapping features, each promising to streamline workflows but none offering clear, immediate impact. Evaluation cycles stretched on indefinitely—requiring committee reviews, security approvals, and cross-functional sign-offs—while the frontline continued struggling with slow, manual processes. Each week lost to decision paralysis meant more hours spent piecing together basic opportunity context instead of focusing on winning deals.

Dayforce selected Ava from Vivun for its ability to automate manual work, unify deal context, and scale solution advisory coverage without requiring additional headcount. Ava integrates seamlessly with Salesforce, Gong, and calendar systems to surface recent activity, highlight risks, and build comprehensive stakeholder maps—all in one centralized location.

Rather than attempting another broad rollout, Dayforce implemented a structured, role-based pilot approach. Frontline managers took ownership of adoption and change management within their teams, while sales enablement supported training and tracked usage metrics. This focused approach ensured users understood exactly how to apply Ava to their daily workflows, avoiding the pitfalls of previous generic implementations.

Ava's outputs—including demo scripts, deal reviews, and call summaries—enabled advisors to prepare for meetings faster and more thoroughly. By handling the time-consuming administrative work, Ava freed solution advisors to focus on higher-value strategic activities: analyzing deal dynamics, identifying risks, and crafting winning strategies. The team could now operate like they had hired a new employee who could be trained once and then instantly scaled across infinite opportunities.

Dayforce plans to expand Ava adoption across its entire solution advisory organization, continuing the phased rollout while introducing new capabilities. The team will correlate Ava usage with key business outcomes such as win rate, deal size, and cycle time to quantify ROI and guide further optimization.

As a design partner with Vivun, Dayforce provides regular feedback that shapes Ava's product roadmap. The team is particularly excited about the development of an AI avatar that can join calls, answer technical questions in real-time, and eventually interact directly with prospects—further amplifying the productivity gains they've already achieved.

With Ava, Dayforce is laying the groundwork for a scalable, AI-driven pre-sales function—one that reduces manual work, improves efficiency, and empowers solution advisors to operate at their highest level. The vision is clear: freeing experts to focus on the deep thinking that wins deals in today's competitive SaaS market.