Agentic CRM
Intelligent Customer Automation

Traditional scoring uses rigid point systems – website visits = 5 points, email opens = 2 points. Our agents analyze intent signals holistically – what they're reading, how they're engaging, firmographic fit, past similar customer profiles, market timing. It's contextual and adaptive. A lead might score high despite low email engagement if other signals suggest strong buying intent.

Yes. All leads flow into one intelligent system that normalizes data, identifies duplicates, and routes to the right nurture sequence. A referral might skip qualification and go straight to engagement. A cold web lead might get a different nurture path than a LinkedIn inbound. One agent, many pathways.

The agent watches engagement patterns - is this person researching, comparing, or just browsing? Are they repeating the same questions (confused) or diving deeper (serious)? Time of day, frequency, and content consumed all factor in. If readiness signals are weak, the agent keeps nurturing rather than wasting sales time on premature leads.

Timing and personalization are everything. The agent tracks previous interactions, knows what resonated, and times follow-ups strategically. Instead of "checking in," it says something like "I noticed you read our case study on X – here's something similar from Y." It's relevant, not robotic. Cadence varies by engagement level too.

Collaboration, not replacement. The agent handles qualification, scoring, and nurturing – freeing reps to focus on closing. When a lead is sales-ready, the agent briefs the rep with all context (what they've engaged with, what questions remain, best timing). Reps close faster with better intel; the agent multiplies rep productivity.