The Client

Allredi is a powerhouse in the industrial distribution sector, providing integrated solutions for surface preparation and finishing. As a Private Equity-managed organization, Allredi operates in a high-performance environment where speed, data precision, and strategic clarity are non-negotiable.

The Challenge: Navigating Complex Stakeholder Alignment

For a distributed organization like Allredi, the annual leadership offsite is the defining moment to set the roadmap for the coming year. However, preparing for these high-stakes sessions presents a significant data challenge: how to gather deep, honest, and representative feedback from a diverse leadership team without consuming hundreds of hours.

Allredi faced three specific friction points that traditional methods could not solve:

• The “Anecdotal Evidence” Trap: Prior to using Dactic, leadership sentiment was often gathered through informal conversations or disjointed email threads. This resulted in siloed data. Without a centralized view, it was difficult to distinguish between a systemic organizational issue and the isolated opinion of a single vocal stakeholder.
• Overcoming Bias and the “Loudest Voice” Effect: In any strategic planning process, there is a risk that the “loudest voices” in the room drive the agenda. Allredi sought to democratize the feedback process, ensuring that insights were weighed based on their strategic merit rather than the hierarchy or personality of the contributor.
• The Speed vs. Depth Trade-off: To get the nuance required for high-level strategy, multiple-choice surveys are insufficient—they lack the “why” behind the data. Conversely, conducting manual 1-on-1 interviews with every key stakeholder is logistically impossible given the tight timelines of executive schedules.

The Goal: Turn qualitative input into a structured baseline of truth to inform the 2026 strategic plan.

The Solution: AI-Facilitated Qualitative Research at Scale

Allredi deployed Dactic not just as a survey tool, but as an automated research partner. The deployment was designed to capture the “unwritten” realities of the business that never show up in spreadsheets.

The Process:

1. Strategic Framing: Working with Dactic, Allredi defined the core pillars of investigation: Performance in 2025, Critical Challenges, and Strategic Priorities for 2026.
2. Asynchronous AI Interviews: Dactic’s AI interviewer conducted one-on-one text and audio-based interviews with key stakeholders. Unlike a static form, the AI asked follow-up questions in real-time, probing for deeper context when participants gave vague answers.
3. Bias-Free Collection: Because the interviewer was an AI, participants felt comfortable sharing candid, unvarnished feedback without fear of judgment or interpersonal politics.
4. Instant Synthesis: The platform processed hours of conversation simultaneously, mapping responses to identify areas of strong consensus and critical divergence.

The Results: From Raw Talk to Strategic Action

The output from Dactic became the foundation of Allredi’s leadership offsite. Instead of starting the meeting with “What do you think are our problems?”, the team started with a report titled “Here is what we know.”

Key Outcomes:

• Identification of Blind Spots: The analysis surfaced specific operational bottlenecks that senior leadership had underestimated, allowing them to address these risks proactively.
• Quantifying Alignment: Dactic visually mapped where the leadership team was aligned and, more importantly, where they were misaligned. This allowed the CEO to focus the offsite discussion solely on the areas of divergence.
• Operational Efficiency: The HR and Strategy teams saved weeks of work. There was no need to transcribe notes, tag themes, or compile PowerPoint slides manually—Dactic delivered the synthesis ready for presentation.

5. The Voice of the Customer

“Dactic helped us surface real insights from across the organization, quickly and clearly. Instead of relying on assumptions, we had a structured view of our team’s perspective. It provides clear value and has a lot of potential to change how we listen to our organization.”

— Kevin Bourbonnais, CEO, Allredi

6. Conclusion: The New Standard for Decision Making

This case demonstrates how AI becomes a competitive advantage when grounded in proprietary, purpose-built qualitative data. By capturing real human input in a structured way, Allredi improved the quality of their strategic discussions without adding operational complexity.

For Private Equity firms and large enterprises, Dactic proves that you no longer have to choose between the scale of a survey and the depth of an interview. You can have both.