Recruitment Agency
“When intelligence took over the research, the recruiters got their time — and their edge — back.”
🚀 Key Results at a Glance
| ⏱️ Time Saved | 📈 Leads Obtained | 🎯 Generate High-Priority Leads | 💰 Efficiency Gain |
| 50–60 hrs → 40 mins | 1,000+ per run | ~20% top-tier | 98–99% faster |
🏢 The Client
Little Birdy Careers is a fast-growing recruitment firm specializing in real estate, construction, technology, professional services, and hospitality. As their client base expanded, so did the pressure on their small business-development team to keep the pipeline full — without burning out.
⚠️ The Challenge
Little Birdy’s team was manually combing through LinkedIn to find hiring companies and decision-makers. The process was slow, inconsistent, and impossible to scale. Hours each week went into repetitive research instead of relationship-building.
The key problems were clear:
- Time drain: 10–12 hours per rep per week lost to manual research.
- Inconsistent data: Missing contact info and outdated job posts.
- Growth bottleneck: Manual systems couldn’t scale with company ambitions.
🤖 The Modern Agentic Solution
Modern Agentic built a custom AI-powered lead generation system that automated everything from data sourcing to scoring.
1. Smart Targeting
The system pulled live data from LinkedIn, filtering for:
- U.S. companies under 200 employees
- Active job postings within the last week
- Target industries like real estate, tech, and hospitality
2. AI Enrichment
The AI enriched each lead with:
- Key decision-makers (C-suite, VP, Director)
- Company summaries and industry tags
- Verified LinkedIn and email data
3. Lead Scoring & Prioritization
Leads were automatically ranked by:
- Seniority, industry fit, data completeness, and hiring activity
- Grouped into High, Medium, and Low Priority tiers
4. Instant Reports
Within minutes, Little Birdy received exportable CSVs with full metadata, scores, and transparency behind every ranking.
⚡ The Impact
The results were dramatic. What once took an entire week of manual work was now completed in under an hour.
In one run, the system generated 1,000+ qualified leads, including nearly 200 top-priority targets ready for outreach.
The sales team immediately re-focused on building relationships, accelerating deals, and driving revenue — instead of digging through LinkedIn.
📈 Business Outcomes
- 99% reduction in lead research time
- 10x increase in qualified lead volume
- Shorter sales cycles and faster conversions
- Scalable system ready to support future growth
💡 The Takeaway
By partnering with Modern Agentic, Little Birdy Careers turned lead generation from a manual bottleneck into a competitive advantage.
Their AI-driven workflow now powers growth, efficiency, and precision — proving how agentic automation can transform recruitment in the modern era.
Tools Used: LangChain, Tavily, OpenAI, Supabase, RapidAPIDigital PR Agency
“Automation learned the brand voice — and gave the team their voice back.”
🚀 Key Results at a Glance
| ⏱️ Time Saved | 💬 Response Rate Boost | 🔗 Workflow Integration | 🤖 Personalization |
|---|---|---|---|
| Several hours/week | +25% | Native to Slack | AI-generated from meetings |
🏢 The Client
Luxn is a fast-growing digital PR agency helping brands build visibility and credibility through earned media and thought leadership.
As the team scaled, client meetings and outreach volume surged — but manual follow-ups were slowing them down. Maintaining personalized communication with prospects and media contacts became time-consuming, inconsistent, and difficult to manage at scale.
⚠️ The Challenge
Luxn’s team faced three key challenges that hindered their client and prospect engagement:
- Delayed follow-ups: Drafting personalized responses after every meeting took hours each week.
- Generic messaging: Without automation, follow-ups risked losing the personal touch that defines Luxn’s brand voice.
- Workflow disruption: Managing outreach outside Slack created friction in their daily communication flow.
They needed an intelligent, integrated solution that could automate follow-ups, preserve personalization, and fit seamlessly into their existing Slack-based workflow.
🤖 The Modern Agentic Solution
Modern Agentic designed a custom AI-powered email follow-up agent using Zapier and Slack, tailored specifically to Luxn’s communication patterns and client engagement workflow.
The system automated the entire post-meeting follow-up process with precision and personality.
1. AI-Generated Follow-Ups from Real Conversations
After each client or journalist meeting, the AI analyzed call transcripts to automatically draft personalized follow-up emails that reflected tone, intent, and context — ensuring relevance and authenticity.
2. Direct Slack Delivery — No Branding, No Friction
Each draft was delivered directly to a dedicated Slack channel, allowing Luxn’s team to review, edit, or send instantly — with no third-party branding or unnecessary tools.
3. Seamless Slack Integration
Living entirely within Slack, the system kept follow-up management aligned with Luxn’s core workflow, making it easy for the whole team to stay on top of next steps and communications in real time.
⚡ The Impact
The results were immediate.
Luxn’s team reclaimed several hours each week that were previously lost to manual drafting and email management.
Prospect and client response rates increased by 25%, thanks to the more timely and personalized nature of the follow-ups. The Slack integration ensured that no message was missed — keeping the entire agency aligned, responsive, and efficient.
📈 Business Outcomes
- Time Efficiency: Saved multiple hours weekly on manual follow-ups.
- Improved Engagement: +25% increase in email responses.
- Integrated Workflow: Fully native to Slack — no context switching.
- Consistent Brand Voice: Personalized, on-brand communication at scale.
💬 Testimonial
“The email follow-up agent has been a game-changer for our business.
It’s saving us time, improving our client engagement, and seamlessly integrating with the tools we already use.
I’m really impressed with how customizable and effortless it is to manage.”
— James, Founder of Luxn
💡 The Takeaway
By partnering with Modern Agentic, Luxn transformed one of its most repetitive, time-consuming tasks into an intelligent, automated workflow.
The result: more personalized outreach, faster responses, and zero workflow disruption.
This project showcases how Modern Agentic’s agentic AI systems help digital agencies like Luxn scale smarter — combining automation and authenticity to strengthen relationships and drive measurable growth.
Tools Used: Zapier, Slack, OpenAI, FathomHealthTech Startup
“Automation rebuilt the pipeline — precision rebuilt the pace.”
🚀 Key Results at a Glance
| ⏱️ Time Saved | 📈 Productivity Gain | 🎯 Outreach Accuracy | 🔒 Privacy Assurance |
|---|---|---|---|
| 1 hour per 80 contacts → minutes | ~10x faster contact prep | More accurate executive targeting | 100% PHI-free workflow |
🏢 The Client
Leaf Guardian is a healthtech startup focused on helping hospitals reduce pressure injuries through intelligent monitoring and prevention tools. As the company prepared to expand its hospital partnerships, its outreach process became a growing operational challenge.
⚠️ The Challenge
Before automation, Leaf Guardian’s lead generation process was entirely manual.
Team member Gyo spent roughly one hour compiling hospital contact data for just 80 records, manually pulling information from databases, copying details into Excel, and verifying email accuracy by hand.
This slow, repetitive workflow made it difficult to scale outreach, limited the team’s capacity for relationship-building, and created inconsistent data quality across their pipeline.
🤖 The Modern Agentic Improvement
Modern Agentic collaborated with Leaf Guardian to redesign their lead generation system for speed, accuracy, and compliance — removing the manual bottlenecks without compromising data integrity.
The refined solution introduced targeted improvements:
- Dramatic Time Savings: Reduced a process that once took an hour for 80 records to just minutes.
- Higher Contact Accuracy: Improved targeting of hospital executives using fresher, verified information.
- Privacy-First Design: Built with healthcare compliance in mind, ensuring no sensitive or protected health information was ever used.
- Scalable Workflow: Created a foundation the Leaf Guardian team can expand as the company grows and adds new hospital partners.
⚡ The Impact
With the new system in place, Leaf Guardian can now generate accurate hospital executive contact lists nearly 10x faster than before.
The improved workflow frees up valuable time for strategic outreach, relationship management, and preparing pilot programs with key hospitals — instead of repetitive data collection.
These refinements also allow the startup to operate more efficiently as a small team, ensuring that every hour spent contributes directly to growth and impact.
📈 Results
- ~10x faster contact preparation
- Improved accuracy and consistency in outreach data
- Fully compliant, privacy-first automation
- System ready to scale as hospital partnerships expand
💡 The Takeaway
By partnering with Modern Agentic, Leaf Guardian transformed its manual lead generation process into a fast, precise, and privacy-compliant workflow.
The collaboration demonstrates how agentic AI can empower lean healthtech teams to scale faster — saving time, improving data quality, and allowing innovators like Leaf Guardian to focus on what matters most: improving patient outcomes.
Tools Used: LangChain, OpenAI, LangSmith, ZeroBounceHardware Engineering Startup
“We taught machines to find opportunity — so humans could focus on building the future.”
🚀 Key Results at a Glance
| ⏱️ Time Saved | 🏙️ Regional Focus | 🎯 Data Accuracy | 📊 Lead Volume Growth |
|---|---|---|---|
| 85% reduction in manual research time | South Florida high-rises (10+ stories) | 92% verified accuracy | 6–8x increase in qualified leads |
🏢 The Client
Hank Robotics is pioneering drone-powered exterior glass cleaning, revolutionizing high-rise maintenance by improving safety, efficiency, and cost-effectiveness.
As the company expanded across South Florida, it needed a scalable, intelligent way to identify ideal target buildings and pinpoint the key decision-makers responsible for maintenance and operations.
⚠️ The Challenge
Hank Robotics’ growth was constrained by a manual, fragmented prospecting process. The sales team relied on time-intensive searches through property databases, Google Maps, and LinkedIn to identify leads — often ending up with incomplete or outdated contact data.
Key challenges included:
- Low output: Only ~25 usable leads per week.
- Data silos: Ownership, management, and operator info scattered across platforms.
- Repetition: Hours of redundant research across markets.
- Lack of depth: Single-contact leads limited sales reach and slowed deals.
The company needed an AI-driven system capable of unifying multiple data sources and delivering verified, multi-contact property intelligence.
🤖 The Modern Agentic Solution
Modern Agentic built a custom AI-powered lead generation engine that merged data from real estate databases, public records, and AI search MCPs into a single, cohesive workflow.
Instead of a static contact list, the result was a dynamic relationship map for each building — connecting property details to verified contacts across every layer of decision-making.
How It Works (Simplified):
- Data Fusion: Aggregated information from multiple real estate databases, commercial registries, and public datasets.
- AI Tooling: Used proprietary agents to structure, validate, and enrich each record.
- Web Search MCPs: Queried the open web to fill gaps in ownership, management, and contact hierarchies — ensuring up-to-date accuracy.
- Automation Pipeline: Standardized and formatted all outputs into ready-to-use lead files aligned with Hank Robotics’ outreach workflow.
This combination of AI automation and multi-source intelligence transformed what used to take hours of research into a streamlined, data-rich operation.
⚡ The Impact
Within the first 90 days, Hank Robotics’ outreach capability expanded dramatically — both in volume and precision.
| Metric | Before Modern Agentic | After Modern Agentic | Improvement |
|---|---|---|---|
| Weekly Lead Volume | ~25 leads/week | 150–200 leads/week | 6–8x increase |
| Contact Accuracy | ~60% | 92%+ verified accuracy | +32 points |
| Research Time per Lead | 20 minutes | 3 minutes | 85% reduction |
The sales team now receives structured, verified datasets covering South Florida’s most relevant high-rises — complete with contact hierarchies and metadata — allowing them to prioritize outreach confidently and efficiently.
📈 Business Outcomes
- Integrated Intelligence: Unified data from disparate property databases and web sources.
- Massive Time Savings: Over 40 hours per month freed from manual research.
- Data Reliability: Consistent, validated contacts across management, ownership, and operations layers.
- Scalable Expansion: Framework easily extends to new metro markets and property classes.
- Operational Focus: Sales team now spends more time building relationships, not collecting data.
💡 The Takeaway
By combining AI-driven automation, database integration, and web search MCPs, Modern Agentic helped Hank Robotics build a scalable, intelligent pipeline for high-rise lead generation.
The result is a faster, smarter, and more accurate prospecting engine — one that eliminates data silos, streamlines research, and empowers Hank Robotics to expand its drone-cleaning technology across the skyline with confidence.
Tools Used: LangChain, LangSmith, OpenAI, BrightData