Building an AI research layer that prepares sales managers before every call.

The entry project was a new sales funnel built in ThriveCart and optimized for high-ticket B2B SaaS buyers. It covered landing pages, payment processing, and integration with the email platform EverMed was using at the time.

The funnel proved the engagement worked. From there, every subsequent system built on the operational foundation created by that first project.

Pipedrive was already the CRM, but it was configured generically. The pipeline stages did not reflect the actual buyer journey, pharma-specific context was missing, and reporting did not give leadership a clear view of sales health.

We rebuilt the configuration around how EverMed actually closes pharma deals: custom stages, custom fields for therapeutic area, company size, regulatory context, and reporting that made pipeline health visible at a glance.

Calendly integrated directly with Pipedrive so booked calls automatically created opportunities with the context sales managers needed before the conversation started.

Drip handled basic email well, but EverMed needed more sophisticated B2B nurture sequences. We migrated the account to ActiveCampaign and used the move to rebuild engagement intelligence rather than simply copy campaigns across.

Smart signals now fire when prospects open three or more emails in a row, watch webinar replays, visit high-intent pages, or cross engagement-score thresholds. Those signals can notify sales in Slack or promote leads into the right pipeline motion.

The marketing team stopped guessing which leads were warming up. The signals told them.

A niche B2B SaaS selling into enterprise pharma cannot rely on one generic path. Different buyer types, content interests, and engagement levels need different journeys.

We built 10+ automated funnels covering separate segments of EverMed's market. Each funnel knows what content to send, what triggers to listen for, and what action to take when engagement signals fire.

Together, the funnels create personalized journeys for prospects who may take months to reach buying readiness.

EverMed sends case studies, white papers, and product documents throughout the sales process. Without tracking, sales managers had no visibility into which prospects actually read what.

We integrated DocSend across the sales document library. Managers can now see which prospects opened which documents, how long they spent on each page, and which sections they returned to.

Follow-up changed from generic check-ins to specific conversations based on the content each prospect actually engaged with.

This is the system that changed how sales operations work at EverMed. When someone books a call, automated research begins in parallel across Apollo, Cause.iq, the prospect website, recent press, job postings, and LinkedIn activity.

The system looks for contact details, company data, five-year financial patterns, hiring signals, digital transformation indicators, strategic initiatives, and communication style from recent LinkedIn posts and comments.

All of that compiles into a structured intelligence brief delivered to the sales manager's Slack within minutes. Estimated time saved: 3+ hours per lead, or roughly 15–30 hours per week for managers handling five to ten leads.

The bigger impact is consistency. Every call now starts with the same depth of context, regardless of which sales manager handles it.

We centralized analytics across Pipedrive, ActiveCampaign, DocSend, and website activity into Google Sheets, then visualized the operational view through Looker Studio.

Real-time dashboards show pipeline velocity, email engagement trends, content consumption patterns, and conversion rates by source. The founder and sales leadership can see what is working without asking anyone to pull reports.

Pipedrive and ActiveCampaign needed bidirectional sync so contact updates in one system reflected in the other automatically. Lead-score changes in ActiveCampaign update Pipedrive pipeline stages, while deal-stage changes in Pipedrive trigger appropriate email sequences.

The two platforms now operate as one connected system instead of two separate databases requiring manual reconciliation.

EverMed runs internal work through Pipedrive's project module. Without reporting visibility, leadership did not know what was getting done across the team without asking for manual updates.

We built automated weekly reports delivered to Slack showing tasks closed by each manager, tasks open, and completion velocity. Leadership gets visibility without chasing updates, and managers can see their performance in context.

This work crossed from sales operations into product fulfillment. EverMed's pharma customers upload large volumes of video content, including medical training, product demonstrations, and research presentations. The content team previously had to process, transcribe, categorize, and organize that content manually.

We automated the processing pipeline. Videos are transcribed automatically, AI analysis extracts topics, identifies speakers, counts speaker turns, and categorizes content by theme. Everything organizes into structured Google Sheets that make the content library searchable and manageable.

The content team's work shifted from manual transcription to quality review of automated outputs. Capacity expanded without adding headcount.

This is the part most agencies skip. They install tools. We architect systems.