AI for sales and revenue, across 6 workflow patterns.

Given a deal in progress, the pattern drafts the first version of a proposal or quote: scope description, pricing pulled from the rate card or product catalog, terms drawn from approved templates, and any context the sales rep has captured in their notes. Sales rep edits and finalizes. The pattern compresses the 2-4 hours typically spent on proposal first drafts into something closer to ten minutes of review, and reduces the time deals sit waiting on a document the rep hasn't gotten to yet.

Continuously cleans and enriches the records inside the CRM: standardizes formats, deduplicates contacts and companies, fills missing fields from public sources, flags stale records, and maintains relationship links (who works where, who reports to whom) as people move. The pattern's job is to keep the CRM trustworthy without burdening reps with data entry. SMBs with neglected CRMs typically see the system flip from a frustration to a useful tool within 60 days of this pattern going live.

Watches activity across the systems where leads show up — website visits, content downloads, email opens, support inquiries, product trial signups — and produces a continuously updated score per lead: how likely they are to be a fit, how engaged they are, what they appear to be interested in. Surfaces high-scoring leads to sales in priority order and flags accounts where engagement patterns suggest active buying intent. Replaces the gut-feel triage of marketing-qualified leads with something measurable.

Before a scheduled customer or prospect meeting, generates a concise briefing document for the person taking the meeting: who's on the other side, what their company has been doing recently, what the relationship history with them looks like, what was discussed in prior meetings, what's currently outstanding. Replaces the 15-20 minutes of frantic research that most reps either do badly or skip entirely. Lands in the rep's morning email or calendar event so they read it before the meeting, not during it.

Continuously watches signals across the customer base — usage patterns, support ticket trends, NPS responses, payment behavior, key contact changes — and flags accounts where renewal risk is rising. Outputs a ranked list to the customer success team with the evidence behind each flag, so the team can intervene early rather than discovering the problem 30 days before renewal. The pattern's value comes from catching the slow churn signals (declining logins, champion leaving) months before they show up in renewal conversations.

For firms that respond to formal RFPs, RFIs, or tenders, the pattern turns a 200-question vendor questionnaire into a first-pass completed response in hours rather than days. Works by maintaining a structured library of approved answers, security artifacts, and case studies, then matching incoming RFP questions to the right answer with appropriate customization. A human reviewer goes through the result before submission. Compresses the most time-consuming part of competing for procurement-led deals.