Diagnosis
We map the floor: CRM behavior, follow-up rules, call patterns, admin drag, manager expectations, and where brokers lose time.
Beverly Hills, California
Sales floor automation that gives salespeople superpowers.
digi-DEX builds agent systems around high-ticket sales teams. DEX keeps the CRM clean, remembers every prospect, analyzes buyer psychology, creates tasks and reminders, prepares brokers before meetings, drafts follow-up, and completes admin work around the sales floor.
How we work
The work begins with the sales floor, not a generic AI demo.
Agent architecture
We design the agent layer around memory, tasks, reminders, appointments, drips, materials, approvals, and the systems your team already uses.
Optimization
We improve the system as more calls, objections, buyer patterns, CRM gaps, and operational evidence appear on the floor.
The range
From one useful agent to a sales-floor operating layer.
Voice interface
AI that can answer, place, summarize, and route calls when voice is the right channel.
Workflow agents
Agents that turn conversations into CRM updates, tasks, reminders, appointment actions, and approved follow-up.
Sales floor automation
A full execution layer around brokers: deep memory, psych-state briefs, drips, materials, and admin work completed around the sale.
What we build
Agent systems for the work that surrounds every serious sale.
Voice AI can be part of the system. The real value is the operating layer behind it: memory, workflow, CRM action, reminders, materials, and follow-through.
CRM hygiene
Turn call activity into clean records, current profiles, next steps, task ownership, and a sales floor that can actually trust its CRM.
Deep prospect memory
Remember prior interactions, stated motivations, objections, sensitivities, commitments, and the psychological state going into the next meeting.
Automatic execution
Create tasks, reminders, appointment actions, pending drafts, drip logic, and broker admin work from what was said on the call.
Sales materials
Generate prospect-specific recaps, meeting notes, objection sheets, decision aids, and follow-up materials that match the individual buyer.
What runs underneath
Every conversation becomes structured, useful work.
A single call does not just get summarized. It updates the CRM, preserves the prospect's psychology, creates the promised work, and prepares the broker for the next conversation.
Prospect
I am interested, but I still need to talk this over with my wife.
Broker
That makes sense. I will send you the comparison sheet and call you before your Thursday meeting.
Prospect
Send the conservative option first. I do not want anything aggressive.
Agent system
Noted: risk sensitivity, spouse influence, Thursday meeting, comparison sheet promised.
01CRM cleanedProfile, intent, objections, and next step updated
02Task createdComparison sheet and pre-meeting call assigned
03Brief preparedSpouse influence, risk posture, and prior promise surfaced
8.4Drip tailoredConservative materials queued for review
Our standard
A serious agent system should make the floor more disciplined every week.
We do not begin with a demo. We begin with the sales process, the CRM, the follow-up rules, the buyer psychology, and the administrative work that keeps brokers from spending enough time selling.
Built around the floor
The system follows the way brokers sell, managers coach, and prospects decide. The sales floor is not reorganized around generic software.
Memory before messaging
Every action starts from authorized context: what happened, what was promised, what the buyer cares about, and what should happen next.
Automation with control
DEX can draft, queue, remind, and create work while preserving human approval where client-facing judgment still matters.
Improved after launch
The system gets sharper as the sales floor produces more calls, more patterns, more objections, and more operational evidence.
Selective by design
We work where automation can change the operating quality of the floor.
A useful agent system depends on real sales motion: calls, CRM behavior, follow-up discipline, management expectations, approval boundaries, and the patterns that separate a live opportunity from dead noise.
If the floor can benefit from an execution layer around the brokers, we will explain what should be built and why. If voice AI is part of that system, it serves the system. It does not define it.