
Dec 12, 2025
How BRUCE AI Tripled Enterprise Leads with Jeeva AI
with Gaurav Bhattacharya, CEO of Jeeva AI
200%
increase in lead generation
3.8x Increase in
High-intent positive replies
3.4× growth
Discovery calls booked
Jeeva AI became the engine behind our growth. We’re now engaging more enterprise buyers, accelerating demo bookings, and scaling pipeline with a fraction of the effort.
David Mercer, CEO
Introduction
BRUCE AI - an intelligent workflow automation platform for document processing, data extraction, and enterprise AI operations - was growing rapidly but struggled to convert inbound interest into qualified leads. Manual prospecting, inconsistent follow-ups, and a lack of scalable outreach workflows limited their ability to reach enterprise decision-makers at scale.
After implementing Jeeva AI, BRUCE AI transformed its lead generation, engagement, and meeting-booking processes - unlocking predictable, automated growth.
Company Overview
BRUCE AI provides AI-powered automation solutions that help enterprises eliminate manual workflows, streamline operations, and increase productivity across finance, legal, logistics, and insurance teams. With a strong platform and rising demand, BRUCE AI needed a more efficient system to scale outbound sales and accelerate enterprise adoption.
Jeeva AI became the automation layer that bridged the gap between intent and revenue.
Company Profile
Attribute | Details |
Name | BRUCE AI |
Founded | 2021 |
HQ | San Francisco, California, USA |
Employees | 40–70 |
Product/Service | AI workflow automation, intelligent document processing, LLM-powered enterprise tools |
Reach | USA, Canada, UK, Western Europe |
Notable Brands | Used by mid-market finance teams, logistics firms, law groups, and enterprise back offices |
Challenges Before Jeeva AI
Pain Point | Impact on BRUCE AI |
Manual, slow outbound prospecting | Limited ability to scale pipeline and reach enterprise buyers |
Generic outreach → low reply rates | Engagement suffered across CFOs, Ops leaders, and IT directors |
Poor lead qualification | High noise from unfit prospects, wasting SDR time |
Inconsistent follow-ups | Missed opportunities with high-intent demos and trial users |
Lack of enrichment for inbound users | BRUCE AI couldn’t understand who was visiting their site |
Solution Deployment
1. Enterprise Lead Identification & Enrichment
Jeeva AI identified finance leaders, ops managers, legal teams, and procurement leaders in automation-heavy industries.
Enrichment waterfall verified role seniority, company size, software stack, and digital maturity.
2. Hyper-Personalized Outreach
AI messaging referenced specific automation pain points:
Manual document processing
SLA delays
Compliance burden
Human error risks
Operational inefficiencies
Messaging varied by industry (legal, logistics, finance, insurance).
3. AI-Powered Inbound Conversion
Website visitors reading case studies or product pages were enriched and tagged as “hot intent.”
Immediate nurture sequences triggered within seconds.
4. Automated Scheduling & Follow-ups
The Jeeva AI Calendar Assistant booked discovery calls with the BRUCE AI solutions team automatically.
Follow-up cadences optimized based on email open rates and prior engagement.
Lead Generation Metrics (First 60 Days)
Metric | Before Jeeva AI | After Jeeva AI | Improvement |
Qualified enterprise leads | 45 per month | 150 per month | 3.3× increase |
High-intent positive replies | 18 | 70 | 3.8× increase |
Discovery calls booked | 10 | 34 | 3.4× growth |
POC (Proof of Concept) pipeline | $350K | $1.15M | 3.2× increase |
Workflow & Scale Efficiency
Process | Before Jeeva AI | After Jeeva AI | Outcome |
Prospect research | 15–25 minutes per lead | <2 minutes per lead | Up to 90% time saved |
Outreach personalization | Manual & inconsistent | AI-generated for each persona | Higher reply rate |
Follow-up cycles | Often delayed | Fully automated | Reduced lead leakage |
Demo scheduling | High friction | AI auto-booked | Faster pipeline velocity |
Team capacity | 4 SDRs overloaded | 2 SDRs + AI | Scalable without hiring |
Why Choose Jeeva AI
BRUCE AI chose Jeeva AI because:
It delivered agentic AI workflows designed for enterprise SaaS outreach.
Deep enrichment ensured outreach only targeted high-fit automation buyers.
Personalized messaging met enterprise expectations for relevance and specificity.
Automated booking workflows eliminated SDR bottlenecks.
It created a predictable, repeatable pipeline engine without new headcount.
Conclusion
With Jeeva AI, BRUCE AI unlocked scalable growth - generating 3× more qualified enterprise leads, nearly 4× more engagements, and over 3× more discovery calls. Automated workflows now handle prospecting, enrichment, follow-up, and scheduling, while reps focus on closing high-value automation deals.
Jeeva AI didn’t just accelerate their sales motion - it became the backbone of BRUCE AI’s go-to-market engine.
Company name
BRUCE AI
Industry
AI Workflow Automation • Intelligent Document Processing • Enterprise SaaS
Headquarters
San Francisco, California, USA
About Company
BRUCE AI provides intelligent automation and document-processing solutions that help enterprises eliminate manual workflows and increase operational efficiency.
Tools Used
AI Lead Enrichment
LinkedIn Outreach
AI Lead Generation
Sales Outreach Automation
Ready to See Results Like These?
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