Discover & Audit
We analyzed the sourcing workflow, research sources, candidate signals, and the criteria used to identify strong matches.
RECRUITMENT & STAFFING
How an AI Research Agent Doubled Sourcing Capacity Without Growing the Team
A national recruitment firm automated candidate research, profile enrichment, and outreach drafting freeing recruiters to focus on conversations and placements.
EXECUTIVE SUMMARY
The Big Picture
The firm's recruiters were spending nearly half their week researching candidates and personalizing outreach.
Finding the right people required searching across multiple sources, reviewing profiles, gathering context, and writing tailored messages. This created a major challenge before recruiters could even start meaningful conversations.
Autogility Systems built a custom AI research agent that continuously sources, enriches, scores, and prepares candidate profiles helping the team double its sourcing capacity without adding more sourcers.
CLIENT PROFILE
National Recruitment Firm
The firm specializes in mid-to-senior-level placements across technology, finance, and operations.
With 22 recruiters managing a continuous pipeline of active roles, candidate research and outreach personalization were taking up a significant part of the team's time.
The goal was simple: increase sourcing capacity without increasing the sourcing team.
Founded
Not Publicly Available
Headquarters
United States
Employees
22 Recruiters
Industry
Recruitment & Staffing
Focus
Talent Acquisition
Customers
Mid-to-Senior Roles
PROJECT OBJECTIVES
Goals & Objectives
Five priorities focused on increasing sourcing capacity while reducing manual research.
Scale Candidate Research
Research more candidates without adding more sourcing staff.
Reduce Manual Research
Remove repetitive searching and profile research from recruiters' workloads.
Improve Candidate Quality
Deliver enriched and relevant candidate profiles for faster review.
Personalize Outreach
Create tailored outreach without spending 15–20 minutes on every message.
Build Talent Pipelines
Continuously develop candidate pools for recurring roles.
The Challenge
Recruiters Were Spending Too Much Time Researching
Finding the right candidate required hours of searching, profile review, enrichment, and outreach preparation.
Recruiters were spending 40–50% of their week on research and personalization, time that could have been spent speaking with candidates and closing placements.
45%
AVG Time Spent Before Autogility
Our Blueprint
Building an AI Sourcer That Works Continuously
We mapped the firm's sourcing process, identified where the most time was being lost, and built an AI agent around the tasks that could be automated.
Custom AI Implementation
We built an AI research agent to source, enrich, score, and prepare personalized outreach for qualified candidates.
Integration & Training
We connected the system with calendars and CRM workflows, then tested it across real-world scenarios before launch.
The Platform
Research More. Search Less.
The AI agent takes care of the time-consuming work behind candidate sourcing.
It researches candidates across multiple sources, enriches profiles with relevant context, scores potential matches, and prepares personalized outreach, all before the recruiter steps in. Recruiters receive structured candidate profiles ready for review and action.
Capacity
2X
Sourcing
Research
80%
Time Saved
Core capabilities
Core capabilities
Multi-Source Candidate Research
Research candidates across multiple relevant sources automatically.
Profile Enrichment, Scoring & Outreach
Add context and score candidates & prepare tailored Outreach
ATS Auto-Population
Send enriched candidate profiles directly into the ATS.
Measurable Outcomes
Impact Metrics & Key Results
Clear improvements in sourcing capacity, research efficiency, and candidate engagement.
Performance vs. Industry Avg
Advisor Time Reclaimed
2X SOURCING CAPACITY
The AI agent continuously handles research and preparation work.
2X
More Showings Booked
Candidate Research
45%
Profile Enrichment
30%
Outreach Preparation
25%
The Shift
Here’s What Actually Changes When Your
Sales Process Is Automated with Autogility
See how AI sales automation removes bottlenecks, improves follow-up, and creates a more reliable path to revenue
Manual Way
-
Recruiters searched for candidates manually
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Profiles were researched one at a time
-
Outreach took 15–20 minutes per candidate
-
Candidate data varied between recruiters
-
Every new role started with a fresh search
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With Autogility Systems
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AI researches candidates across multiple sources
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Profiles are enriched and scored automatically
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Personalized outreach is drafted for review
-
Candidate data is delivered consistently
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Talent pipelines are continuously maintained
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CTA: Book A Free Strategy Call
PROBLEM SOLVING
Challenges & Resolution
01
Resolved
Manual Candidate Research
The Challenge
Recruiters were spending a large part of every week searching across multiple platforms for suitable candidates.
Our Resolution
The AI agent now researches candidates continuously and delivers structured profiles ready for review.
02
Resolved
Time-Consuming Outreach
The Challenge
Personalizing every outreach message took 15–20 minutes per candidate.
Our Resolution
The AI drafts personalized outreach using relevant career details and recruiter-approved messaging.
03
Resolved
Starting From Scratch
The Challenge
Every new role often required the sourcing process to begin from zero.
Our Resolution
The system continuously builds talent pipelines for recurring roles, creating a pool of pre-researched candidates.
FAQ
What Most Businesses Want to
Know Before Getting Started.
A few common questions around AI automation, implementation, timelines, and what this can actually look like inside your business.
Can AI research candidates across multiple sources?
Yes. The AI can research candidates across relevant professional sources and compile the information into structured profiles.
Will recruiters still review candidates?
Yes. The AI handles research and preparation, while recruiters review candidates and make the final decisions.
Can AI personalize recruitment outreach?
Yes. The system can use relevant candidate details to draft personalized outreach for recruiter review.
Can the AI integrate with an ATS?
Yes. Enriched candidate profiles can be automatically delivered into the ATS, reducing manual data entry.
Case Studies
Where AI Starts Creating Real
Business Impact
Every custom automation we build is designed around one outcome “Measurable Impact”. Here's
what happens when the right AI systems are implemented in the right businesses.
E-Commerce
7-Figure DTC Skincare Brand
71% of Customer Support Tickets Resolved Automatically with AI
Deployed a custom AI support agent trained on the full product catalog, FAQs, and policies. Integrated with helpdesk platform, built smart escalation routing, and added proactive post-purchase communication flows to reduce inbound volume.
71% OfTickets Auto-Resolved
3 MinutesAverage First Response Time
28 HoursReclaimed by the Team Each Week
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Home Services
Business Process Automation · AI Workflow Automation
From Quote to Booking: One Automated Workflow Across Four Locations
A multi-location home services company with four separate manual processes, an overwhelmed admin team, and an owner fielding daily operational problems. After automation, admin hours dropped 78%, quote-to-booking fell from 3 days to 5 hours, and the business saved $67K annually.
78%Admin Hours Saved
Under 5 HoursFrom Quote to Booking
$67KAnnual Overhead Saved
