AI Coaches that sit behind your client-facing team.
The biggest revenue leak in most companies isn't acquisition — it's what happens between an inbound conversation and a closed, kept commitment. A great front line converts; an overwhelmed one loses people quietly. AI Coaches give every client-facing team member real-time support — the right script, the right answer, the right next step — trained on your business's own patterns. The human always runs the conversation; the AI just makes them faster and sharper.
How this shows up in the work.
Live call & chat assist
Real-time support during inbound conversations — the right script, the right answer, surfaced at the right moment. The human stays in control; the model just removes the fumble.
Objection handling & recall
Plan-acceptance and deal support during high-stakes conversations: financing options, the objection that came up last time, the detail your rep would otherwise have to dig for.
Post-conversation follow-through
Drafted follow-ups, next-step prompts, and the nudge that stops a warm lead from going cold in a busy inbox. Decision-support, never auto-sent without a human.
Trained on your patterns
Tuned on your real calls, your real wins, your real language — with consent. The result coaches like your best person on their best day, not like a generic call-center script.
What we believe about AI in the conversation.
AI should make humans better, not replace them. The autonomous-receptionist pitch is a category mistake in trust-heavy work — people want a human voice, especially when the stakes are high. The right tool sits behind the human.
A generic coach is worse than no coach. A tool that sounds like a template gets ignored or, worse, makes your team sound canned. That's why this is trained on your patterns and not bought off a shelf.
Privacy is the line. Coaching that routes your conversations and customer data to a third-party cloud for convenience is a risk we won't take on your behalf. Sensitive audio is processed where it can be controlled.
Ship-status: in development. The architecture is defined, and we're assembling training data with early partners; first deployments are planned for our partner cohort. It is not generally available yet — and we'll publish performance data only once we have real, measured deployments to point to. We'd rather tell you that than dress up a roadmap as a product.