Cord AI Agent
Cords AI Agent automated and coordinated the entire hiring process - from candidate outreach to interview scheduling - by combining multiple AI tools into one seamless experience.
Role:
Sr. Product Designer
Service Provided
UX Research, Wireframing, UI Design, AI Tool Design
The goal
I am consolidating all the AI tools I’ve developed into a single, intelligent AI recruitment agent designed to manage the end-to-end hiring process - including outreach, scheduling, messaging, tracking, and interview coordination. The agent allows companies to either generate a job description with AI assistance or upload an existing one. From there, it leverages advanced candidate profiling and filtering capabilities to identify and engage only the most relevant, high-quality candidates - avoiding the inefficiencies of mass outreach. Once matched, the AI agent autonomously initiates contact, schedules interviews, and manages application status updates. Human involvement is only required for final decisions on whether to move candidates forward or decline them - both of which are supported by AI-generated personalized messages. This solution reduces manual recruiter workload by up to 70% while significantly improving the precision and effectiveness of talent acquisition.
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How it was achieved
Unifying AI Tools into a Single Hiring Agent
As part of our mission to streamline the hiring process, I was the sole designer and led the end-to-end design process for a new AI Agent - a centralized system that integrates all the AI capabilities I previously designed, including:
AI Messaging for candidate communication
AI Summaries for candidate insights
AI Role Repositioning to refine job-to-candidate fit
Bringing these tools together under one intelligent agent allowed us to manage the entire hiring workflow - from outreach and scheduling to candidate messaging, pipeline tracking, and interview coordination - with minimal human input.
The key design challenge was to create a cohesive user experience across disparate AI functions while ensuring the system remained transparent, controllable, and trustworthy for recruiters. I designed a unified interface that clearly communicates agent actions, gives users granular control, and makes automation feel like augmentation.
This AI Agent has not only reduced time-to-hire but also dramatically improved recruiter efficiency and candidate experience by turning scattered AI features into one seamless, autonomous system.
Challenge 1: Fragmented AI Experiences
Problem:
Each AI tool (messaging, summaries, repositioning) had its own interface, logic, and interaction patterns. Users were overwhelmed by tool-switching and unclear boundaries between features.
Solution:
I reframed the tools not as separate utilities but as capabilities of a single intelligent assistant. Through design workshops and user interviews, I identified common workflows and built a cohesive model where the AI Agent acted as a proactive teammate. I introduced a centralized control panel and conversation thread that unified actions, reduced context switching, and gave users visibility into all AI-driven tasks in one place.
Challenge 2: Balancing Automation with Control
Problem:
Automating outreach, messaging, and coordination raised concerns around accuracy and loss of human oversight, especially in high-stakes hiring processes.
Solution:
I implemented a “review and approve” layer that let users fine-tune AI actions before execution (e.g., editing outreach messages or adjusting scheduling preferences). I also designed contextual transparency indicators - showing users what the AI was doing, why, and what data it was using - so they felt in control, not sidelined. Over time, we added personalization toggles and confidence thresholds to adapt to different recruiter preferences.
Challenge 3: Connecting Disparate Workflows
Problem:
Tasks like outreach, scheduling, and interview coordination often live in different systems or stages of the funnel, making it hard for the AI to act seamlessly across them.
Solution:
I mapped out the end-to-end hiring journey and identified integration points where the AI Agent could step in with minimal friction. I collaborated closely with engineering to design APIs and triggers across ATS, calendar, and messaging systems. From a UX perspective, I designed an orchestration view - a timeline showing past and upcoming AI actions - so users could track progress and intervene when needed.
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The Result
The launch of the AI Agent transformed what was once a fragmented hiring experience into a cohesive, AI-driven workflow. By centralizing outreach, messaging, scheduling, and coordination, the Agent acted as an always-on hiring partner, automating repetitive tasks while keeping recruiters in control.
Key outcomes included:
74% reduction in manual recruiter tasks related to outreach and scheduling
2x faster response times from candidates due to real-time, AI-personalized follow-ups
Improved candidate experience, with smoother handoffs, consistent communication, and less back-and-forth
Higher team adoption, thanks to a unified UX that made AI tools feel intuitive and assistive, not intrusive
The AI Agent didn’t just automate tasks - it orchestrated the hiring process end-to-end, helping teams scale hiring efforts without scaling complexity. Recruiters could focus more on decision-making and candidate engagement, while the Agent handled the coordination behind the scenes.
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