SearchThe Challenge
For consulting teams, some of the most valuable client insight never makes it into a system.
It happens in discovery calls, executive working sessions, pursuit meetings, hallway conversations and quick follow-ups. In those moments, clients reveal what they need, what they are worried about, what they have already tried and what will matter most when it is time to recommend a path forward.
The problem is that those insights are often scattered.
Some live in meeting recordings. Some are buried in personal notes. Some sit deep inside email threads. Some are never written down at all. Over time, valuable context gets lost, repeated or misunderstood.
This was the issue eimagine set out to solve.
eimagine recognized that consulting teams were generating valuable strategic intelligence every week, but much of that knowledge was disappearing before it could be used. New team members were often brought into opportunities without the full context, different people could walk away from client conversations with different interpretations and important details from early sales conversations did not always carry through to delivery.
That created several common challenges:
Starting from scratch.
When a new person joined a pursuit, the team often had to spend time catching them up on context that should have already been captured somewhere centralized.
Inconsistent client understanding.
Two team members could speak with the same client and walk away with different views of what mattered most, which created gaps in solutioning and avoidable rework.
Lost institutional knowledge.
Insights from one client engagement did not always make it into the next, even when the patterns were similar. The organization was not compounding what it learned.
Weak handoffs between sales and delivery.
Early client conversations often include important intent, assumptions and nuance that can get lost when work moves from pursuit to delivery. When that context does not carry forward, it can create scope friction, unnecessary change orders and a weaker client experience.
The result was not a lack of information. It was a lack of connection between the conversations happening every day and the teams that needed those insights later.
The Solution
To solve this, eimagine built an internal AI-enabled pursuit and relationship intelligence assistant designed to capture client conversations, organize what mattered and make that information easy for the right people to retrieve.
The solution was built around a simple cycle: capture, structure and surface.
First, the assistant captures information from the places where client conversations already happen. Formal meeting conversations can be pulled in, processed and connected to the right client context. For insights that happen outside of meetings, team members can quickly add notes through a lightweight chat experience without creating another heavy workflow.
Next, the assistant structures the information. Raw transcripts and long notes are not enough. The value comes from identifying the signals inside the conversation and organizing them in a consistent way.
Each conversation is analyzed across several practical categories, including business needs, technical considerations, delivery approach, organizational change, competitive context and relationship dynamics. This gives the team a clear and repeatable way to understand what is happening with each client.
Finally, the assistant surfaces insights through a natural-language experience. Team members can ask questions like:
Instead of searching through recordings, notes and emails, users get a grounded answer based on real conversations.
How eimagine Designed It
eimagine designed the tool around how people already work.
The goal was not to create another system that required constant manual updates. It was to reduce the burden on teams while making existing conversations more useful.
A few principles guided the design.
The first was to meet users where they were. Adoption depended on fitting into existing habits, not asking people to change everything about how they captured and shared client information.
The second was to focus on insights, not transcripts. The assistant was not built to be a storage folder for meeting recordings. It was built to extract the important context, organize it and make it useful.
The third was to position the assistant as a teammate, not just a tool. It became a scribe companion that helped preserve context, strengthen planning and improve continuity across sales, account management and delivery.
The rollout was intentional. eimagine began with a focused pilot among a small group of leaders, then expanded through weekly training sessions with sales, client partners and practice leaders. Feedback was gathered early and often, which helped refine the experience before broader adoption.
The Results
The solution quickly became an active part of eimagine’s sales and account planning process.
One of the clearest improvements was faster preparation for client conversations. Team members can quickly review what is known about a client across recent meetings and notes. Instead of starting from a blank page, they have a structured view of priorities, concerns, open questions and relationship context.
The organization also gained a better way to spot patterns across clients. Because insights are captured and organized consistently, leaders can ask broader questions across the portfolio. This helps surface recurring themes, such as common adoption challenges, governance gaps, delivery risks and modernization needs. Those patterns can then inform new service offerings and sharper pursuit strategies.
Just as important, eimagine started building a compounding knowledge base. Every conversation adds value to the system. Client intelligence no longer lives only with the person who attended the meeting or took the notes. It becomes part of the organization’s shared understanding. That helps close the gap between sales and delivery. Early assumptions, concerns and expectations are easier to carry forward, reducing the risk of misalignment later in the engagement.
At its core, this effort reflects eimagine’s commitment to creating a truly differentiated experience for both clients and prospective clients. Every interaction is intentionally grounded in a customer intimacy model – one designed to deepen understanding, align to business outcomes, and accelerate the delivery of meaningful value. As Jim Kerr, Chief Customer Officer, notes:
