dcAI builds an AI-powered lead scoring workflow from a single prompt. Every inbound lead is scored for ICP fit, enriched with firmographic data, and routed to the right rep — in seconds, automatically.
Traditional lead scoring uses static rules: if title contains "VP" and company size > 100, score = 80. These rules are brittle, go stale, and miss nuance. They require constant maintenance by RevOps. And they still can't tell you whether a lead's intent signals match your actual ICP.
Form submission, HubSpot webhook, Typeform, or API — dcAI listens on any inbound source.
Claude evaluates company size, industry, title, tech stack, intent signals, and firmographic data against your ICP definition — producing a 0–100 score with reasoning.
Hot leads → AE Slack + HubSpot owner assigned. Warm leads → SDR sequence enrolled. Cold leads → nurture drip. All automatic.
| Lead | Company | Title | Score | Tier | Action |
|---|---|---|---|---|---|
| Sarah K. | Stripe (500–1k) | Head of RevOps | 91 | HOT | AE assigned · Slack alert |
| James M. | Shopify (1k–5k) | Senior Engineer | 64 | WARM | SDR sequence enrolled |
| Priya T. | Freelancer (1) | Developer | 22 | COLD | Nurture drip added |
| Marcus L. | Databricks (5k+) | VP Engineering | 97 | HOT | AE + founder alert |
✦ Unlike static rules, dcAI's AI scoring adapts to context — a "Developer" at Stripe scores higher than a "VP" at a 1-person startup, because it understands your ICP, not just titles.
Describe your ideal customer in plain English in the workflow prompt — e.g. "B2B SaaS companies with 50–500 employees, VP+ title, in fintech or healthtech." dcAI uses this as the scoring rubric.
dcAI can call Clearbit, Apollo, LinkedIn, and ZoomInfo APIs as enrichment steps in the workflow. Bring your own API keys.
Yes — dcAI logs the AI reasoning for each score in the AuditLog, so you can review and refine your ICP definition.
It can — or it can feed scores into HubSpot/Salesforce native scoring fields. You stay in control of where the score lives.