The Challenge
AhaGuru's sales team was having hundreds of conversations with parents and students every day — but leadership had no scalable way to know what was actually happening inside them.
Key Challenges
- No visibility at scale — were counselors following the sales script? Were key checkpoints (need discovery, program explanation, objection handling, closing) being hit consistently? There was no way to know across the full volume of calls.
- Manual review covered only a fraction — call reviews could only sample a tiny percentage of conversations, leaving the vast majority unassessed.
- Feedback was anecdotal, not data-driven — coaching relied on impressions from the calls a manager happened to listen to, rather than evidence from the calls that actually happened.
- No systematic path to improving conversion — there was no structured answer to the most important question: what would it take to convert more of these calls?
Our Solution
Every Call Graded — Not a Sample
Wizzgeeks built an AI-powered sales call intelligence platform that plugs directly into AhaGuru's CRM and evaluates every single call — not a sample.
Automatic Capture, Zero Friction
The platform integrates with the CRM and automatically captures every sales call recording as it happens — no uploads, no manual tagging, no change to how the sales team works.
Fully Configurable Evaluation Framework
Sales leaders configure their own sales script within the platform, define the checkpoints a great call must cover, set the metrics measured against each checkpoint, and configure the grading scheme. The framework belongs to sales leadership, not the software, so it evolves as the pitch evolves.
Every Call Graded, Automatically
The AI analyses each and every call against the configured script checkpoints and assigns a grade — full coverage, with consistent standards applied to every conversation, replacing what used to require a manager listening to hours of recordings.
Conversion Intelligence, Not Just Scores
Beyond grading, the platform analyses each call for what could have been done differently to improve the conversion outcome — where the pitch drifted, which objections went unaddressed, which checkpoints were skipped — turning every recorded call into a specific, actionable improvement input.
Individual Performance Coaching at Scale
The platform analyses the performance of every salesperson across all their calls, surfacing each individual's strengths, recurring gaps, and trends over time — giving sales leaders precise, evidence-based coaching inputs for every team member instead of gut-feel reviews.
Key Impact
What used to require hours of manual listening now runs automatically, at full coverage.
Driven by better call insights and the coaching action taken on them.
The Customer
AhaGuru, a leading EdTech company known for concept-driven Math and Science learning programs, where consultative sales conversations with parents and students are the core of the revenue engine.
The Outcomes
Sales leadership moved from anecdotal sampling to a call-by-call discipline — every conversation graded, every rep coached on evidence from their own calls.
From Sampling to 100% Coverage
Sales leadership moved from reviewing a handful of calls to AI-graded visibility into every sales conversation.
Script Adherence Made Measurable
Checkpoints that used to be assumed — need discovery, objection handling, closing — are now tracked consistently across every call.
Coaching That's Personalized and Data-Backed
Every team member gets coaching built on evidence from their own calls, not general impressions.
Conversion Improvement, Systematically
Improving conversion shifted from guesswork to a call-by-call discipline, backed by what the data actually shows.
“I sincerely appreciate the collaboration with Wizzgeeks — their deep AI and edtech expertise significantly shaped our product's strategy and execution from concept to delivery. The team's professionalism, clear communication, timely execution, and collaborative approach made the process smooth and productive.”
Capabilities Demonstrated
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