
Interview to published: draft questions with AI, extract the problem, solution and numbers from the transcript, and write it in the customer's own voice.
AI for the work that faces customers: proposals that get approved, replies that sound human, and the judgment to know when a person must take over.
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Interview to published: draft questions with AI, extract the problem, solution and numbers from the transcript, and write it in the customer's own voice.

Turn a pile of inbound leads into a ranked list: build a short scorecard, let AI score every lead, sort into hot, warm and cold, and call the top first.

Use AI to read a complaint calmly, draft a reply that acknowledges before it explains, pick the fix yourself, and log patterns so problems stop repeating.

Transcribe the call, extract CRM fields with one prompt, and send the recap the same day. Cut after-call admin from twenty minutes to five, no dropped follow-ups.

Three AI sessions before any pitch: a ten minute buyer brief, objection rounds against a skeptical AI buyer, and out loud rehearsal. The full workflow with prompts.

Cold emails barely get replies. The AI workflow that fixes it: two minutes of prospect research, a four sentence draft under 120 words, follow-ups that add value.

Build it from the client's own words: extract discovery notes, structure around their problem, price in three tiers, and run the skeptical finance director test.

Acknowledge before you answer, leash the AI to facts you can promise, build templates from your best replies, cool down the angry ones, and keep one human gate.