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SOLUTION

AI Sales Automation

Research, qualification, and follow-through automated so sellers spend their time in conversations.
THE POSITION

Sales productivity is mostly a data and follow-up problem.

Pipeline quality suffers when research is manual and follow-up depends on memory. CRM hygiene degrades and forecasting follows.

We automate the preparation and the paperwork around selling while keeping the human relationship untouched.

CAPABILITIES

What the engagement includes

01
Account research

Public and internal signals compiled into a briefing.

02
Qualification

Consistent scoring against your actual ICP definition.

03
Follow-up orchestration

Next steps drafted and scheduled, never sent unreviewed.

04
CRM hygiene

Notes, stages, and contacts kept current automatically.

SYSTEM ARCHITECTURE

How the system runs end to end

REFERENCE FLOW
01
Signal

A lead, event, or intent trigger is captured.

02
Research

Account and contact context is assembled.

03
Qualify

Fit scored against defined criteria.

04
Prepare

Briefing and draft outreach produced.

05
Record

CRM updated with structured outcomes.

TECHNOLOGY

Typical stack

TypeScript Python Salesforce HubSpot PostgreSQL OpenAI
OUTCOMES
More selling time

Preparation stops consuming the calendar.

Cleaner pipeline

Forecasts rest on current data.

Consistent qualification

One definition applied to every deal.