What Problem Was This Sales Coaching Client Trying to Solve?
Shane introduces a longtime client who operates in the sales consulting space. The client had built a robust coaching framework over 20 to 25 years, but getting that framework into clients' hands consistently was the core challenge. With customers spread across the globe, manual delivery of coaching was a bottleneck that limited both quality and scale.
How Does the Platform Ingest and Organize Sales Data?
When a client joins the platform, it integrates with their existing CRM and automatically pulls in deals, contacts, and companies. From that point, the system begins working at the first stage of the sales process. discovery. It runs a pre-scan of each deal using AI and the client's proprietary frameworks, then generates a standardized output that reflects how the consultant would present that information if they were on the call personally. The consultant can refine the prompts in the back end at any time if the output needs adjustment.
What Happens After a Sales Call Is Recorded?
After the call, the rep uploads the recording to the platform. The system transcribes it in real time, then produces a scorecard that grades the call across multiple dimensions, all tied to the established sales framework. Along with the score, it generates a coaching recommendation that tells the rep exactly what to do next to advance the deal to the following stage.
How Does the Platform Enforce the Sales Process Step by Step?
The platform does not allow a deal to move into the next stage until every required item in the current stage is complete or validated. Once those conditions are met, the system automatically advances the deal, generates pre-call intelligence for the next stage based on everything gathered so far, and alerts the user that the deal is ready for the next call. This cycle repeats through each stage of the methodology.
What Happens When a New Stakeholder Enters the Deal?
One capability Shane highlighted is the platform's ability to detect when a new person has been introduced into the sales process, for example, a business owner joining late after initial meetings with a manager. When this happens, the platform flags it and prevents the rep from moving to the closing or presentation stage until they have gone back to understand the new stakeholder's buying criteria and role in the decision.
How Does the Platform Handle Multiple Clients and Multi-Tenant Security?
Because the consulting firm serves many clients who each bring their own CRM and their own team of users, the platform is built with a multi-tenant, MSP-style hierarchy. Security controls include role-based access control (RBAC), two-factor authentication, and strict database-level isolation to prevent data from one client from being visible to another. A job queue manages concurrent imports so simultaneous activity across tenants does not destabilize the application. The platform is also SOC 2 compliant for database handling, and AI guardrails are in place to ensure that prompts and outputs do not expose data across accounts.
Can Individual Clients Customize the AI Prompts?
Yes. While the core sales framework and scorecard structure remain consistent, each client can fine-tune the prompts to reflect their specific industry focus, compliance environment, or organizational constraints. For example, a company selling into federal manufacturing under CMMC guidelines would need different qualifying questions than one selling to nonprofits navigating board approval and public funding.
How Many Hours Did It Take to Build This Platform?
Hunter estimates the team, including team member Eric, invested approximately 200 to 250 hours to take the project from concept to a fully functioning solution. The result is a platform the consulting firm can now use to onboard new clients independently. They generate a link, invite the client, and the entire framework-driven process runs inside the application without requiring the consultant to be present on every call.
What Is the Real-World ROI for the Coaching Firm?
Before this platform, the team could realistically review 8 to 12 recorded sales calls per day, limited by the time required to listen to each one in full. With the automated transcription and scoring process, that number scales to hundreds of calls per day. Beyond volume, the platform introduces a non-biased evaluation layer. Instead of a manager softening feedback out of familiarity with a rep, the system scores against the framework objectively and surfaces exactly what was missed. That data then feeds a more focused and productive coaching conversation.
What Other Industries or Workflows Could Benefit from This Approach?
Shane and Hunter note that the architecture behind this platform is not limited to sales. Any process with defined steps, quality checkpoints, and the need to verify completion before progression could use the same pattern. Manufacturing workflows, compliance checklists, and onboarding processes are all examples where centralizing data, enforcing step completion, and generating structured feedback would create similar operational value.