AI for CRM

A CRM is only as useful as the data entered into it — and most sales teams don't have time to enter it well. We add an AI layer on top of your existing CRM (Zoho, Salesforce, HubSpot, or a custom-built system) that scores leads automatically, drafts follow-up messages, flags duplicate or stale records, and summarizes call notes into structured fields.

Nothing about how your team uses the CRM changes. The AI layer works in the background and surfaces its output inside the same screens they already use.

Lead scoring is usually the first thing we turn on, because it's the fastest to prove out — the model ranks incoming leads against the deals that actually closed in your history, not a generic scoring template, so the ranking reflects what your business has actually seen work.

From there, most teams add auto-drafted follow-ups (a message your rep reviews and sends, not one sent automatically on their behalf) and duplicate detection that catches near-matches your CRM's built-in dedupe logic misses — same company, slightly different spelling, different contact.