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Built for long-cycle enterprise deals in pharma, biotech, and regulated manufacturing. We connect your CRM, data, knowledge, and workflows into a system your team actually uses.
Not generic prompting. We set up the data, memory, workflows, and guardrails — then train the team to use it. Works best when sales cycles are long, buyers are technical, and stakes are high.
10+ years closing six- and seven-figure enterprise deals into pharma, biotech, and manufacturing. Long cycles, technical buyers, and regulated environments are normal in this work.
#1 global seller at a multi-billion-dollar SaaS company in 2024 and 2025. Over 200% of quota in 2024. Presidents Club five consecutive years. Sandler trained. MEDDPICC certified. AI only helps when it fits the real buying motion — that background is why these systems work.
I built the connected AI sales system described below, plus the plugin, MCP tooling, intelligence pipelines, and supporting workflows used every day across the sales cycle. RunSales is where I help other teams set up that same kind of working infrastructure.
Connected systems for real enterprise selling, not a pile of prompts taped together.
The system only works if it matches the real sales motion. We map it to your deal stages, buying process, approvals, methodology, and the way your team actually sells.
We connect CRM data, enrichment, filings, hiring signals, engagement history, SharePoint or docs, and internal playbooks so the AI works from the same context your team does.
We build the workflows around the work that actually matters: account evaluation, signal detection, deal analysis, call prep, follow-ups, research, next steps, and team-ready briefs.
Drafted emails, LinkedIn messages, campaign plans, one-pagers, conference workflows, and cadence-ready content grounded in account context instead of generic prompts.
We set up approved tools inside Claude with read-only data access, whitelisted actions, auditability, and safer workflows for teams that cannot afford sloppy automation.
Your team should not lose deal memory every time a new chat starts. We turn account folders, notes, research, and team knowledge into a usable AI memory layer.
We do the setup, train the team, and adapt the system to real usage so adoption sticks after launch instead of dying as a pilot.
We keep it simple: understand the sales motion, connect the system, launch it with the team.
> mapWe map your sales motion, tools, knowledge sources, approvals, and the workflows that are still too manual. That gives us the real system scope.
> connectWe wire up the data, knowledge, prompts, workflows, and guardrails so the system can evaluate accounts, surface signals, draft work, and support the team in context.
> launchYour team gets trained on the live system, we tune it against real deals, and we stay close until the workflow is actually being used.
Real proof from systems we built for complex enterprise selling. Client-linked work stays anonymized where needed.
We built a packaged AI sales system for the enterprise team at a multi-billion-dollar SaaS company serving regulated industries. It was built for long-cycle selling into pharma and biotech and connected CRM data, regulatory data, financial filings, hiring signals, engagement data, and internal account knowledge into one working system.
Used across the full end-to-end sales cycle for pharma and biotech accounts: signal detection, account evaluation, deal analysis, call prep, outreach drafting, campaign creation, conference prep, and a secure plugin plus MCP layer inside Claude.
Built a multi-source intelligence layer that ingests account signals, normalizes entities, ranks accounts, drafts outreach, and turns scattered research into usable action.
Pulled together CRM history, web research, regulatory data, financial context, and hiring signals so the team could spot timing, prioritize accounts, and move faster with better context.
Built a public FDA data platform and MCP server with daily-refreshed regulatory data, normalized company resolution, and production documentation.
A concrete example of turning messy public data into a usable system for operators and AI clients.
Other systems shipped
We also build the surrounding operator layer: briefings, campaign systems, conference workflows, competitive monitoring, and reusable content pipelines.
Executive briefings and territory monitoring
Recurring briefings that pull recent signals, account context, and next actions into one operator-ready view for the day.
Campaign and conference systems
Systems that draft campaign plans, conference guides, outreach assets, and sales content from reusable playbooks and source material.
Send the workflow and tools you are working with. We'll tell you what we'd connect first.
Same folder structure, data pipelines, and workflows we set up for clients — as a step-by-step guide for individual AEs.
Send the workflow your team needs help with. We'll tell you what we'd connect first and whether a call makes sense.
welf@runsales.ai