Alongside AI started with a short discovery sprint to map the sales process, the target customer profile, priority service lines, and where reps were losing time, reviewing existing outreach, proposals, account plans, call notes, and approved marketing materials. From there the work was mapped into three parts — signal intelligence, account-specific messaging, and sales-asset generation — with an early decision to keep the system grounded in approved internal knowledge and public company sources rather than a generic chatbot. The team then selected and organized data sources: internally, prior proposals, product documentation, FAQs, sales collateral, and compliance-approved language; externally, 10-Ks, investor presentations, earnings transcripts, press releases, and executive interviews. With the knowledge base in place, they built the first workflows — target account research, trigger analysis, account planning, outreach drafting, proposal support, objection handling, and meeting prep — then tested them with a small group, comparing AI output against what experienced reps produced and tightening prompts, review steps, and source requirements. The final phase was rollout and training. A first usable version took four to six weeks, with fuller integration running eight to twelve.