CodeGeeks Solutions

AI-Native CRM System

k3x system case

Challenge

SMB sales teams in US financial services run a high-touch inbound funnel that generic CRMs were never built for: applications and bank-statement packages, 25+ outbound calls per file, and follow-ups chased by hand. Leads went cold between human touches, and operators had no way to query or act on their data without learning the software.

K3X came to us with the idea for something different: one system that could read and update records, draft and send email and SMS, run unattended on events and timers, and always pause for a human before anything reached a customer.

Solution

We built K3X as a CRM with AI agents at its core. Operators talk to an assistant on every page to find records, create them, or draft follow-ups in plain language. Agents work in the background on their own — picking up a new lead, replying to an inbound email, nudging a stalled deal, or running on a schedule.

Claude powers the reasoning behind all of it. Agents qualify leads, prepare briefings ahead of calls, draft email and SMS in the company's voice, and keep the pipeline moving without anyone updating records by hand. Nothing reaches a customer without a person approving it first.

Outcomes

Incoming applications turn into structured records on their own, without anyone retyping them. Follow-ups and deal updates that once depended on someone remembering to act now happen automatically, and reps work the CRM by asking for what they need instead of learning where everything lives.

95%

Orchestration coverage

~8x

Faster application intake

42

Gain in operational speed

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