Case Study: Wanderly & CodeWithSense
From Manual, Tedious Recruitment Flows to Agentic AI in Four Months
Estimate ProjectClient Background
Wanderly
Wanderly (wanderly.us) is a US-based platform connecting travel nurses and healthcare professionals with job opportunities nationwide. The platform aggregates listings from staffing agencies, lets nurses compare offers transparently, and helps recruiters manage placements. A two-sided marketplace serving both healthcare workers and the agencies that place them, Wanderly is a NATHO member operating out of Miami, Florida.
$200K
Annual engineering investment via CWS
4
Roles placed: AI, design, DevOps, mobile
4 mo.
Time from kickoff to first AI deployment
1
Agentic AI recruitment system shipped
The Challenge
Business Challenge
Wanderly's recruitment workflow was manual at every step. Nurses discovered jobs on the site but applied through static forms. Document collection happened over email and phone. Recruiters managed candidate pipelines through manual, disconnected processes. The platform had the right market position - transparent job listings for travel nurses - but lacked the technical infrastructure to scale. When Wanderly approached CWS, they had no technical leadership in place and needed to move fast: someone who could lead AI strategy and also build, not just advise.
Project Scope
Project Goals
- Place a senior AI architect to lead technical strategy from week one
- Staff design, DevOps, and mobile engineering roles in a single engagement
- Build CoRecruit: an agentic AI system to automate the recruitment pipeline
- Replace manual document collection with automated workflows
- Improve nurse-to-job conversion through proactive matching rather than passive search
- Ship production-ready AI within the first four months
How We Solved It
Key Challenges & Solutions
No Technical Leadership in Place
Challenge
Wanderly needed a Chief AI Architect immediately - someone who could shape the AI roadmap, make architecture decisions, and also build. Finding a senior engineer who could lead and execute at pace was critical.
Solution
CWS placed a Chief AI Architect in the first week of engagement, with full ownership of the AI initiative - technical strategy, architecture, and hands-on delivery. The role has since expanded toward a CTO function as the engagement scales.
Manual Recruitment Pipeline
Challenge
Every step of the recruitment funnel required human intervention. Nurses applied, recruiters chased documents by email, and pipeline status was tracked manually across disconnected tools. At scale, this was a hard ceiling on growth.
Solution
CWS built CoRecruit - an agentic AI recruitment system that automates candidate outreach, document collection, status tracking, and follow-up. Routine recruiter tasks are now handled by the system, freeing the team to focus on relationships.
Low Nurse-to-Job Conversion
Challenge
Nurses came to the site and browsed jobs, but the passive search model meant many left without applying. Conversion was low because the platform waited for nurses to act rather than guiding them.
Solution
CoRecruit shifts the model from passive search to active matching - proactively surfacing relevant opportunities to nurses based on their profile and preferences, reducing friction between interest and application.
Shipping at Startup Speed
Challenge
Wanderly needed visible momentum quickly. Long engineering timelines would have delayed impact on a business already losing efficiency to manual processes.
Solution
CWS assembled a focused four-person team - AI architect, designer, DevOps engineer, Flutter engineer - and shipped CoRecruit to production within four months of the engagement starting.
Outcomes
Key Results
CoRecruit Deployed in 4 Months
Wanderly's first major AI system - an agentic recruitment engine - went from concept to production in under four months from engagement start.
Recruitment Pipeline Automated
Manual document collection, recruiter follow-up, and status tracking replaced by AI-driven workflows. The Wanderly team now handles relationships, not admin.
Full Technical Team Assembled
Chief AI Architect, designer, DevOps engineer, and Flutter engineer placed in a single engagement - giving Wanderly an immediate cross-functional delivery team.
Active Nurse Matching
CoRecruit proactively surfaces relevant jobs to nurses rather than waiting for them to search - improving conversion from browse to application.
Ongoing and Scaling
Four months in, the engagement is accelerating. CoRecruit is the foundation for Wanderly's next phase of product development.
Our Approach
Why CodeWithSense?
Immediate Technical Leadership
We placed a senior AI architect in week one who could lead strategy, design systems, and build - not just consult.
Full Team, Not Just a Hire
Design, DevOps, mobile, and AI leadership placed in one engagement. Wanderly got a working delivery team, not isolated contractors.
AI-First Delivery
CoRecruit was the engagement's first major output - built from the ground up as an agentic system, not retrofitted onto an existing product.
Speed to Production
Four months from kickoff to deployed AI product. We work like a startup, not a consulting firm.
More Work
Related Case Studies
Ready to Build Your Next Big Thing?
Whether it's AI development, scalable web solutions, or expanding your team - let's turn your vision into reality.
Work with us