Problem

• Candidate details were scattered across many job sites
• There was no single place to see where each candidate stood
• Coding tests had to be arranged by hand on outside platforms
• Scheduling interviews meant endless back-and-forth emails
• Little visibility into where candidates stalled or dropped out
• Recruiters were spending more time on admin than on judging talent.

Solution Exploration

• Hiring more recruitment coordinators to handle the admin
• Building a fully custom hiring system from scratch
• Adding AI automation to the tools the team already used

How Dezoko Helped

• One candidate inbox: Applications from every job site were collected automatically into a single hiring pipeline.
• Smart stage tracking: AI placed each candidate in the right stage, such as Applied, Code Test, Technical Round, Leadership Round and Hired.
• Hands-free coordination:
  • At the Code Test stage, candidates automatically received their test links.
  • At the Technical Round stage, candidates received personalized emails with a link to book their own interview slot.
  • For the Leadership Round, booking links matched leaders' availability, with no manual coordination.
  • Once hired, candidate details were passed to internal systems and the CRM automatically.

Real-Time Analytics and Control

• Number of candidates at each stage
• How well each sourcing channel converts, and the quality of its candidates
• Time spent at each step of the hiring process
• Interview delays and drop-offs
• Productivity for each recruiter

Key Outcomes

• Every job site now feeds into one central hiring process
• Recruiters spend 40 percent less time on administrative tasks
• Candidate response and scheduling time improved by 60 percent
• Live insights replaced manual reports and guesswork
• Candidates get faster, more consistent communication

How We Built It

We added AI automation to RisApp's existing hiring setup in four connected parts:

One Home for Every Candidate

• Every applicant, whatever job site they came from, lands in one central candidate database.
• Details are tidied up so every record follows the same format.
• New applications are brought in automatically on a regular schedule.
• The system keeps track of each candidate as they move from stage to stage.
• It stays fast and reliable as hiring volumes grow, and makes reporting easy.

Personal Replies, Drafted in Seconds

• Our AI drafts replies to candidates using RisApp's own job descriptions, company policies and FAQs.
• Each reply is personalized to the candidate and the role they applied for.
• For niche technical roles the tone was sometimes slightly off, so we added a recruiter approval step before those replies are sent.

Interviews That Schedule Themselves

• When a candidate reaches the Code Test stage, their test is sent automatically through HackerRank or RisApp's own test system.
• When a candidate moves to the Technical Round, the system sends:
  • An email with a short candidate summary
  • A booking link showing interviewer availability
• After booking: The candidate's status updates and recruiters are notified in Slack.
• Result: Scheduling time dropped by 60%.

Live Hiring Dashboards

• Every candidate interaction is recorded and shown on easy-to-read live dashboards.
• Leaders can see at a glance:
  • Where candidates drop out at each stage
  • How long each stage takes
  • Which sources lead to the most hires
  • How productive each recruiter is

What We Learned Along the Way

• Automatic resume scoring:
  • We first tried having AI score every resume against the job description.
  • It struggled with unusually formatted resumes and flagged too many weak matches.
  • We switched to clear screening rules and a human shortlist, with AI writing a short summary of each candidate.
• Fully automatic replies:
  • We also tried letting AI answer every candidate question on its own.
  • Without enough context, the replies felt generic and sometimes missed the mark.
  • We moved to AI-prepared drafts that recruiters review and edit before sending.
• What worked well from the start:
  • Automated coding tests
  • Interview scheduling linked to calendars and Slack
  • Live hiring reports
  • AI reply drafts based on RisApp's own information

Built With

• AI: OpenAI
• Candidate data: Google BigQuery
• Automation and hosting: Google Cloud
• Dashboards: Looker Studio
• Coding tests: HackerRank
• Scheduling: Google Calendar, Calendly

Business Impact

• Average hiring time cut by 6 days
• 40% less manual effort for the recruitment team
• Leadership gets real-time visibility into hiring
• Recruiters review AI drafts, so replies stay high quality
• The system handles growing hiring volumes while keeping costs efficient