AI Sales Coaching & Forecasting Insights with Mike Bullard

AI isn’t just transforming customer support—it’s reshaping how sales teams sell, coach, and forecast. In a recent Spiky Signals conversation, Waleed Shaarani spoke with Mike Bullard (Gorgias, ex-Lever) about enabling reps to adapt to new AI-driven products, scaling coaching without losing depth, and spotting patterns that separate top performers.

From Help Desk to AI Platform

When Bullard joined Gorgias, it was best known as the #1 help desk for e-commerce. Over the last 18 months, the company has transformed into an AI-powered platform resolving nearly 50% of support tickets automatically.

This evolution has changed everything:

• Product demos now emphasize AI outcomes, not just features.
• Go-to-market motions require new messaging and enablement.
• Customer expectations have shifted to include education on how to apply AI.

Selling AI Requires Education

Bullard noted that many enterprise buyers know AI matters but still lack a clear strategy. Sales conversations now include:

• “What’s your AI strategy?”
• “How can automation support your frontline teams?”
• “What measurable ROI will this deliver?”

This is where commercial teaching comes in. Sharing case studies—like brands automating 60% of repetitive tasks—helps build urgency and trust.

Spiky.ai supports this motion by giving reps access to conversation intelligence that surfaces customer pain points and buying signals across calls, making it easier to tailor AI messaging.

Coaching at Scale

One-to-one coaching remains essential, but with teams of 8+ reps, managers often struggle to keep up. Bullard sees the future in mass call scoring: analyzing dozens of calls to highlight strengths and gaps before diving into one-to-one sessions.

Tools like Spiky’s Real-Time Coach and feedback & coaching tools make this possible—surfacing trends across a rep’s last 10 calls, rather than focusing on a single anecdote.

What Top Performers Do Differently

From his experience at Gorgias and Lever, Bullard identified three patterns that consistently show up in high-performing reps:

1. Curiosity – Asking sharp, market-aware discovery questions that show domain knowledge.
2. Credibility – Bringing clear expertise early in the conversation so buyers trust their perspective.
3. Relevant demos – Connecting every feature back to a buyer’s specific priorities instead of product-dumping.

These traits echo the balance of art and science in sales—where automation handles CRM updates and sentiment analysis, and reps focus on building relationships.

Spotting Deal Risk Early

Bullard shared the leading indicators his teams track to avoid late-stage surprises:

• Multi-threading: Engaging multiple stakeholders in mid-market deals is non-negotiable.
• Calendar momentum: Real next steps scheduled, not just promises.
• Quantified problems: Clear ROI tied to the customer’s goals.
• Team involvement: Stronger close rates when solutions consultants and exec sponsors join.

Spiky.ai supports this by surfacing deal health insights from calls, giving leaders an aggregated view of risks across the pipeline.

Forecasting with Objectivity

Forecasting, Bullard noted, requires clear definitions. For example:

• Commit = confirmed signing date, access to decision-makers, implementation call booked.
• Most likely = positive momentum but risk factors remain.

Using frameworks like MEDDIC and AI tools like Spiky.ai helps remove subjectivity and ensures everyone speaks the same forecasting language.

Key Takeaways

1. Selling AI requires education and commercial teaching, not just features.
2. Mass call scoring unlocks scalable coaching without losing personalization.
3. Top reps combine curiosity, credibility, and relevant demos to win.
4. Leaders must track deal risk signals early—multi-threading, ROI proof, and real next steps.
5. Forecasting needs objective categories supported by AI-driven insights.

Final Thought

As Bullard put it, curiosity and credibility win deals—but only if leaders can scale coaching and spot risk before it’s too late. Tools like Spiky.ai bring structure, visibility, and real-time insights, so revenue teams can adapt faster and close smarter.