Hire without the chaos
Applications that feel like conversations. Resume extraction means less repetitive typing. Route to the right hiring manager automatically.
The old way vs ioZen
The old way
- 47-field application form
- Retype everything from resume
- High abandonment, lost talent
- Manual sorting by role
- Candidates wait, no updates
With ioZen
- Conversation, not interrogation
- Upload resume, AI extracts data
- Higher completion, better candidates
- Auto-route by role/department
- Visual pipeline, track every candidate
Hiring at a growing company
Priya runs HR at a 40-person tech company hiring for three roles at once. She shares ioZen application links in each job posting. Candidates upload their resume, the bot extracts their info and asks role-specific questions. By Friday, Priya has a board with 22 candidates sorted by role, each one with a full profile she can review in seconds. No spreadsheets. No copy-pasting from PDFs.
What the candidate sees
A conversation that respects their time
IntakeBot
Thanks for your interest! Which role are you applying for?
Senior Frontend Developer
IntakeBot
Great. Can you upload your resume? I'll pull your details from it so you don't have to retype everything.
📎 resume_carlos_dev.pdf
IntakeBot
Got it. I see 4 years with React and TypeScript. Have you worked with Next.js or server components?
Yes, my last two projects were Next.js apps. I can share links to both.
IntakeBot
That would be great. And one more thing: what's your earliest available start date?
The numbers
What changes when applications are conversational
Application completion
Time to review
Candidate quality score
The full pipeline
From job posting to interview
Candidate applies
Clicks link in job post
Resume extracted
AI pulls key details
Profile created
Contact + application saved
Card on board
Sorted by role
Routed to manager
Right department, right person
Candidate applies
Clicks link in job post
Resume extracted
AI pulls key details
Profile created
Contact + application saved
Card on board
Sorted by role
Routed to manager
Right department, right person
Right candidate, right hiring manager
Applications route directly to the team that's hiring
flowchart TD
%% Main nodes
A["🤖 <b>IntakeBot</b><br/><small>Collects information</small>"]
B{"Routes based<br/>on answers"}
C["<b>Engineering</b><br/><small>Tech Hiring Board</small>"]
D["<b>Design</b><br/><small>Creative Board</small>"]
E["<b>Other Roles</b><br/><small>General Board</small>"]
%% Connections
A --> B
B --> C
B --> D
B --> E
%% Styling
classDef intakeBot fill:#c96a35,stroke:#c96a35,color:#fff,stroke-width:2px
classDef router fill:#f5f5f4,stroke:#e7e5e4,color:#44403c,stroke-width:2px
classDef destination fill:#fff,stroke:#e7e5e4,color:#44403c,stroke-width:1px
classDef highlighted fill:#fef3ec,stroke:#c96a35,color:#44403c,stroke-width:2px
class A intakeBot
class B router
class C highlighted
class D destination
class E destination ⚡ Why this matters
Top candidates disappear in 10 days. When HR screens every application before forwarding, your best people have already accepted offers elsewhere.
Tech Hiring Board
Engineering candidates tracked by your tech leads
Applied
2Carlos Martinez
4 yrs React · Next.js
FrontendEmily Chen
6 yrs Python · AWS
BackendScreening
1Carlos Martinez
4 yrs React · Next.js
FrontendAlex Rivera
2 yrs Go · Docker
BackendInterview
1Jordan Lee
5 yrs Full Stack
SeniorOffer
0Applied
2Carlos Martinez
4 yrs React · Next.js
FrontendEmily Chen
6 yrs Python · AWS
BackendScreening
1Carlos Martinez
4 yrs React · Next.js
FrontendAlex Rivera
2 yrs Go · Docker
BackendInterview
1Jordan Lee
5 yrs Full Stack
SeniorOffer
0What's included
Resume extraction
Upload PDF, AI pulls name, experience, skills
Position selection
Conditional questions by role type
Smart screening
AI follow-ups on experience claims
Auto-routing
Route to hiring manager by department
Hiring pipeline
Visual board: Applied, Interview, Offer
Candidate profiles
Full history in one place