CRM AI Integration

Your CRM Gets Smarter.
Your Reps Get Their Time Back.

We embed AI directly into your CRM so your sales team spends time selling instead of writing emails, updating fields, and guessing which deals are worth chasing this week.

14 day delivery
Non-destructive integration
Full source code

What We Build

AI features that surface inside the CRM your team already uses every day so adoption is immediate and training time is near zero.

Predictive lead scoring that ranks inbound leads by conversion likelihood
One-click email drafting in each rep's voice from deal context and history
Deal health scoring that surfaces at-risk opportunities before they go cold
Automatic activity summarization after calls, emails, and meetings
Next best action recommendations surfaced inline in the deal view
Natural language search across all contacts, deals, and notes
Salesforce and HubSpot native integration via official API and webhook layer
Custom CRM AI layer for bespoke systems built on PostgreSQL or MySQL
Churn risk alerts when customer engagement signals drop below threshold
Meeting transcript ingestion with CRM field population from call recordings
Territory and segment analysis to surface expansion opportunities in existing accounts
Manager dashboards with AI-generated pipeline commentary and forecast confidence

Measured ROI

3 hrs

Email Time Saved

Sales reps reclaim 3 hours per week by using AI drafts instead of writing prospecting and follow-up emails from scratch

5x

Lead Qualification Speed

AI lead scoring lets reps prioritize the top 20% of leads in seconds instead of manually reviewing every inbound contact

18%

Win Rate Improvement

Teams using deal health scoring and next best action recommendations see win rates climb by 18% in the first quarter

60% better

CRM Data Quality

Automatic activity logging from calls and emails improves CRM data completeness by 60% without adding rep workload

Tech Stack

Salesforce / HubSpot API
CRM layer
OpenAI GPT-4o
AI backbone
Node.js
Integration runtime
PostgreSQL
Enrichment store
Webhook Gateway
Event ingestion
Redis
Draft cache
Resend
Email delivery
Datadog
Pipeline monitoring

14 Day Build Timeline

Day 1 to 2

CRM Audit and Use Case Prioritization

Map your current CRM data model, identify the highest-value AI use cases for your sales motion, and define the integration architecture.

Day 3 to 4

API Connection and Data Pipeline

Establish the CRM API connection, set up webhook listeners for deal and contact events, and build the data enrichment pipeline.

Day 5 to 8

Lead Scoring and Email Drafting

Train the lead scoring model on your historical conversion data, build the email drafting interface, and wire both into the CRM UI.

Day 9 to 10

Deal Intelligence and Alerts

Build deal health scoring, next best action logic, and churn risk alerting with configurable thresholds per team and segment.

Day 11 to 12

Activity Summarization and Search

Implement call transcript ingestion, automatic field population, and natural language search across the full CRM dataset.

Day 13 to 14

Deploy and Team Onboarding

Ship to production, run a live onboarding session with the sales team, deliver documentation, and begin 30-day support window.

Fixed Project Price

$5,000

14 day delivery • Full source code • 30 day support

Basic integrations from $2,500 • Enterprise from $15,000

Book a Free Discovery Call

See a Related Project We Built

We built a custom CRM from scratch for a services business and embedded AI lead scoring and deal intelligence directly into the interface at launch.

Read the Case Study

Frequently Asked Questions

Free Estimate in 2 Minutes

50+ products shipped$10M+ funding raised2-week delivery

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