Case study
How an IT recruitment agency automated candidate outreach
An AI Recruiter that runs on the data the agency already has, with mission-level priority controls for urgent client deadlines.
Up to 2,000
candidates contacted per month under the base plan
24-48 hours
turnaround on priority missions for urgent client roles
Zero ATS
required: AI Recruiter runs on existing Excel data
Overview
An IT-focused recruitment agency with U.S. leadership and an India-based delivery team supports more than ten global enterprise clients, along with a long tail of small and mid-sized customers, holding preferred-vendor status on several accounts. Every week brings double-digit IT job orders for OPT, H1B, Green Card, and citizen candidates, and the agency competes on the speed and quality of its submissions. The hard part: they were running this entire motion without an ATS. Candidate data was scattered across Excel files, local drives, and individual recruiters’ inboxes, and most of the outreach was still happening by hand.
Rather than buy and roll out a full ATS, the agency partnered with Squirrels.ai to deploy an AI Recruiter that runs on top of the data they already have. Recruiters map their existing Excel candidate lists to specific job descriptions, upload them to Squirrels.ai, and the AI Recruiter takes over outreach across phone, email, and SMS. The agent qualifies interest, answers candidate FAQs, books meetings directly into recruiter calendars, and reports every interaction back through a real-time dashboard. Urgent client roles can be flagged as priority missions that compress outreach into a day or two.
Client at a glance
Industry
IT-focused recruitment and staffing
Job volume
Double-digit IT job orders per week
Customer base
10+ global enterprise clients plus numerous small and mid-sized clients, with preferred-vendor status on several
Operating model
Recruitment team distributed across India, with U.S. leadership and account management
Talent focus
IT roles for OPT, H1B, Green Card, and citizen candidates
Talent focus
IT roles for OPT, H1B, Green Card, and citizen candidates
Use case deployed
AI Recruiter for outreach, FAQ handling, and meeting booking
The challenge
The agency was meeting client expectations through sheer effort, but the operating model had real ceilings as job volume grew.
Recruitment without an ATS
A previous ATS deployment had been discontinued, and the team had never replaced it. Candidate profiles lived across Excel sheets, recruiter laptops, job portal exports, and miscellaneous folders. There was no single source of truth, and every new job order kicked off a manual scramble to figure out which candidates in which file might match. The team knew they had strong candidates in their database; they just could not move on them fast enough.
Manual outreach dominating the workday
Once a recruiter identified a shortlist of qualified candidates, they still had to chase each one personally: call, leave voicemail, send an email, follow up by text, answer the same FAQs about pay rate, location, and benefits, and try to nail down a screening time. With double-digit weekly job orders and dozens of candidates per role, recruiters were spending most of their day on outreach rather than submissions, screening, and client management.
Urgent client deadlines without surge capacity
Preferred-vendor relationships often come with tight turnaround expectations. When a client opened a critical role, the team needed to engage a large candidate pool within 24 to 48 hours, which is essentially impossible to do well manually. The agency was leaving submissions on the table simply because they could not reach enough candidates fast enough.
Additional constraints
- Sensitive candidate data, including visa status and personal contact information, required strong data isolation, NDAs, and compliance assurances.
- Any new system had to work with Excel uploads as the primary candidate-data path; an ATS rollout was not on the near-term roadmap.
- Recruiters needed transparent reporting to track AI performance and continue to own the candidate relationship.
- Pre-assessment and candidate-job fit had to remain a human judgment call; only outreach to already-qualified candidates was being automated.
The solution
Squirrels.ai deployed an AI Recruiter that fits the agency’s actual workflow rather than asking them to change it. Recruiters keep ownership of candidate selection, and the automation kicks in the moment outreach begins.
AI Recruiter on top of Excel uploads
There was no waiting for an ATS rollout. Squirrels.ai accepted the agency’s existing Excel candidate-data path as a first-class input. A recruiter shortlists qualified candidates for a given job description, uploads the list, and the AI takes over from there. When the agency does eventually adopt an ATS, the same platform can switch to API sync without changing the recruiter workflow.
- Human-in-the-loop mapping: recruiters continue to map candidates to job descriptions before outreach begins, so the AI only contacts people who have already been vetted.
- Multi-channel sequences: the agent runs a configurable phone, email, and SMS cadence across the candidate pool, with auto-stop the moment a candidate responds.
- Real-time FAQ handling: the agent answers candidate questions about pay rate, location, work type, benefits, and visa-related details in real time from the uploaded knowledge base, instead of escalating every question to a human.
- Self-service meeting booking: interested candidates receive a calendar link and book a screening directly with the right recruiter.
- Reusable mission templates: campaigns can be cloned across similar roles, so the team is not rebuilding outreach configuration for every new requirement.
Mission-level priority for urgent roles
- Priority missions: critical client roles can be configured to run aggressive, compressed outreach within the first 24 to 48 hours, so the agency hits tight preferred-vendor SLAs.
- Concurrent capacity: calls, emails, and SMS run in parallel across multiple lines, allowing the team to reach up to 2,000 candidates per month on the base plan.
- Adjustable cadences: lower-priority roles can run on more relaxed timelines, so the team is not contacting candidates more aggressively than the role warrants.
Real-time dashboard and reporting
- Live stats on total candidates contacted, interested versus uninterested, meetings scheduled, and meetings completed.
- Full conversation logs across all channels so recruiters can review candidate responses before a screening call.
- Campaign-level analytics that show which mix of phone, email, and SMS is driving the most meetings.
- Clear visibility for agency leadership into AI Recruiter ROI versus equivalent manual recruiter effort.
Data privacy and compliance
- NDAs are executed up front, and candidate data is held under ISO-certified controls with strict data isolation.
- Production candidate data is never exposed across customer environments.
- Outreach honors candidate response signals automatically: once someone says no, they are off the cadence.
- Pilot-first rollout: the agency started with a focused multi-week pilot before committing, validating fit on real job orders.
Results and impact
With the AI Recruiter live, the agency turned a fragmented, mostly manual outreach motion into a structured engine that runs 24/7 against the data they already had.
What changed in the business
- Recruiters do recruitment work. Hours that used to be spent dialing, leaving voicemails, and answering pay-rate questions now go into candidate screening, submissions, and client conversations.
- Urgent roles get a real surge capacity. Priority missions let the team compress outreach across hundreds of candidates into a 24 to 48-hour window, which used to be physically impossible manually.
- Existing candidate data finally gets used. Excel sheets and locally-stored profiles that previously sat dormant are now flowing into active outreach campaigns instead of waiting for an ATS that may never get bought.
- Consistent candidate experience. Every candidate hears the same accurate answers on pay, location, benefits, and visa-related questions, regardless of which recruiter owns the role.
- Transparent performance reporting. Leadership can see exactly how many candidates were contacted, how many were interested, and how many meetings were booked, without compiling spreadsheets manually.
- A bridge to ATS adoption. When the agency does eventually adopt an ATS, the AI Recruiter switches from Excel uploads to API sync without disrupting recruiter workflows.
- Compliance and trust stay protected. NDAs, ISO-certified data handling, and strict data isolation give enterprise clients confidence in how their candidate pipelines are managed.
Why Squirrels.ai
Squirrels.ai deploys AI agents that handle calls, emails, and texts at scale, trained on a company’s own scripts, FAQs, and SOPs. For this agency, the platform delivered:
- An AI Recruiter that worked with existing Excel candidate lists rather than requiring an ATS purchase.
- Priority mission controls so urgent client roles get compressed, high-intensity outreach within 24 to 48 hours.
- Concurrent calling, email, and SMS capacity for up to 2,000 candidates per month on the base plan.
- Real-time dashboards and conversation logs that give recruiters and leadership full visibility into every campaign.
- Enterprise-grade compliance: NDAs, ISO certification, and strict data isolation across customer environments.