CRM Salesforce Automation

Enterprise CRM Ecosystem

Unified Salesforce CRM with AI-powered lead scoring, automated multi-channel follow-ups, and predictive pipeline analytics — driving $2.4M in tracked pipeline and 98% team adoption for a B2B SaaS company in Denver, CO.

Delivered & Live in Production
Pipeline Leads Analytics
Live
Lead 24
Meridian Corp
Atlas Industries
Vantage Group
Qualified 18
Beacon Health
Forge Dynamics
Crestline Tech
Proposal 12
NovaPeak Ltd
Summit Advisors
Ironbridge Co
Won 9
Pinnacle SaaS
Orion Ventures
Ridgeline Inc
Total Pipeline Revenue
$2.4M
 Production dashboard — client data anonymized for display
$2.4M Pipeline Revenue
340% ROI Achieved
98% Adoption Rate
45% Close Rate Increase

Before & After

Before Rivan.ai
Lead response time 18 hours
Data entry time 60% of day
Close rate 14%
Pipeline visibility None
Monthly revenue $180K
After Rivan.ai
Lead response time 12 min
Data entry time 8% of day
Close rate 20.3%
Pipeline visibility Real-time
Monthly revenue $425K

The Challenge

Prism Solutions, a B2B SaaS company based in Denver, CO, had their customer data fragmented across 5 different tools — a legacy CRM, two spreadsheet systems, a standalone email platform, and a support ticketing tool. Nothing talked to each other. Sales reps were spending 60% of their time on manual data entry instead of actually selling, and lead response time had ballooned to an average of 18 hours.

They'd already burned through two CRM implementations in three years, and both times the team abandoned the system within a month and went back to spreadsheets. Their Sales Director was understandably skeptical about trying again.

Our Solution

We didn't just install Salesforce — we rebuilt Prism's entire sales motion from the ground up. We started by sitting with each sales rep individually to map their actual workflow, not the one in the process docs nobody followed. From there, we built a unified Salesforce CRM with an AI lead scoring engine that analyzes 40+ behavioral and firmographic signals to prioritize the right leads at the right time. Automated multi-channel follow-up sequences handle the first touch across email, SMS, and calls — cutting response time from 18 hours to 12 minutes. Predictive pipeline analytics give leadership real-time visibility into deal velocity, risk signals, and revenue forecasts.

AI Lead Scoring

Machine learning model that scores and prioritizes leads based on 40+ behavioral and firmographic signals, surfacing the hottest opportunities first.

Automated Follow-Ups

Multi-channel drip sequences triggered by lead behavior across email, SMS, and calls — ensuring every lead gets a response within minutes, not hours.

Pipeline Analytics

Real-time dashboards with predictive forecasting, deal velocity tracking, and risk signals that flag stalling opportunities before they go cold.

Data Unification

MuleSoft-powered integration layer that creates a single source of truth connecting marketing, sales, and support data from all 5 legacy systems.

Mobile CRM

Full-featured Salesforce mobile app for field sales with offline sync, voice-to-CRM notes, and one-tap deal updates from anywhere.

Smart Alerts

AI-triggered notifications for deal risks, engagement drops, and upsell opportunities — pushed directly to Slack and mobile in real-time.

Tech Stack

Enterprise-grade Salesforce ecosystem with custom AI integrations and real-time analytics infrastructure.

Salesforce Apex Lightning Python TensorFlow Heroku MuleSoft Tableau Twilio SendGrid

Project Timeline

Mar 2024
Discovery & Sales Audit
Spent two weeks embedded with the Prism sales team in Denver. Sat with each of the 12 reps individually, mapped every tool, spreadsheet, and workaround. Documented 5 disconnected data sources and identified the exact friction points killing their close rate.
Apr — May 2024
Architecture & Data Model
Designed the unified Salesforce data model, MuleSoft integration architecture, and AI scoring pipeline. Built the lead scoring prototype and validated it against 6 months of historical deal data to confirm predictive accuracy.
Jun — Sep 2024
Build & Iteration
Developed the full Salesforce instance with custom Lightning components, deployed the AI scoring engine on Heroku, built all automation workflows, and integrated Twilio/SendGrid for multi-channel follow-ups. Bi-weekly demos with the sales team to iterate on UX.
Oct 2024
Phased Rollout & Training
Rolled out to the sales team in two waves — power users first, then the full team. Conducted hands-on training sessions and created custom video walkthroughs. Hit 98% adoption within 30 days, with zero reps going back to spreadsheets.
Nov 2024
Final Delivery & Optimization
Delivered Tableau analytics dashboards, completed knowledge transfer documentation, and tuned the AI scoring model based on first month of live data. Handed over full system ownership with 30-day post-launch support.

Client Feedback

Honestly, I was skeptical about another CRM migration. We'd burned through two implementations in three years and both times my team ended up going back to spreadsheets within a month. The Rivan.ai team didn't just install Salesforce — they rebuilt our entire sales motion from the ground up. They sat with each rep individually to understand their workflow. The AI lead scoring alone paid for the project in the first quarter. My team actually WANTS to use this system, which is something I never thought I'd say about a CRM.

RT
Rachel Torres Sales Director, Prism Solutions — Denver, CO

Project Verification

Upwork Contract Fixed-Price Project
Completed
Contract Title Enterprise CRM Ecosystem
Client Location Denver, CO, USA
Budget $62,000
Duration Mar — Nov 2024
5.0
"They didn't just build a CRM — they fixed our entire sales process. Adoption hit 98% in 30 days."
Project Completion Summary Verified delivery milestones
Delivered On November 8, 2024
Project Duration 8 months
Milestones Hit 10 / 10
Sprints Completed 8 sprints
Post-Launch Issues 0 critical
ROI Timeline First quarter
Payment Verified Top Rated Plus Enterprise Client

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