Before we recommend AI to a customer, we run it ourselves. Converge uses AI across marketing, sales, and operations every day. None of it is exotic. Each use case started with a task that ate hours every week and data we already had. Here is where AI earns its keep inside Converge, and where it could do the same for you.
Every Meeting Feeds Every Project
Our customer calls and internal meetings run on Zoom. AI captures the transcript, writes a summary, and files it on the matching customer record in our CRM. That summary then becomes context for the work itself. When someone picks up a proposal, a support ticket, or a follow-up email, the AI already knows what the customer said, what we promised, and what is still open. Nobody re-asks a question the customer answered last week, and project knowledge no longer lives in one person's notebook.
Marketing Built on One Source of Truth
Every Converge blog post, newsletter, webinar promotion, and social calendar starts as an AI draft. That only works because we gave the AI a governed foundation first: our brand voice, approved product messaging, proof points, and competitive positioning, packaged as reusable instructions. The AI drafts on brand, and a person edits and approves. The result is a small team that keeps a weekly blog, a monthly newsletter, and monthly webinar campaigns on schedule.
Proposals That Write the Quote
Sales proposals start from meeting context and our product and licensing rules. AI assembles product selection, pricing, renewal terms, and options into a clean proposal for the rep to review. Then the proposal does double duty. Because it is structured, AI derives the Deal and Quote records directly from it, including line items, SKUs, and terms, and builds them in our CRM to our field standards. Reps stop retyping the same numbers into three systems, and the quote always matches what the customer actually saw.
Operations Without the Busywork
Our operations team, led by Brad Hassell and [KATHLEEN FULL NAME, TITLE], uses AI where process meets paperwork. Brad's team uses it to build a weekly operations review that pulls ticket, project, and meeting activity into one view, so meetings focus on decisions instead of status updates. AI also produces our weekly vendor pipeline report and drafts first-pass findings for engineering process reviews from customer questionnaires and PDM vault exports. [KATHLEEN: INSERT 1–2 EXAMPLES, e.g., order processing, renewals, onboarding.] Every output is a draft. A person approves anything that leaves the building.
What These Workflows Have in Common
Each one follows the same method we use with customers: Organize, Distill, Integrate. We organized the data first: CRM records, transcripts, brand standards, and pricing rules. We distilled it into knowledge the AI can reason over. Then we integrated it into the tools our team already opens every day. Nobody had to learn a new platform, and nothing goes out the door without human review.
Use Our Playbook
We built these workflows to run our own business. Now we help engineering and manufacturing teams replicate them, one workflow at a time. Start with the process that costs your team the most time each week, and we will show you what AI can do with the data you already have.
Book a free AI Discovery Workshop with the Converge team.
