Applicant to onboarding
AI organizes applicant information against predefined job requirements. HR reviews the evidence, arranges interviews and records the human hiring decision before onboarding tasks begin.
SYSTEM 05 / HR & Employees
A better employee journey, by design.
AI HR & Employee Operations
Coordinate recruiting, onboarding, employee support and offboarding while HR retains employment judgment.
Illustrative workflowZN / HR
A
APPLICATION / ILLUSTRATIVE
Potential,
with a process.
Human decision point
AI organizes evidence.
Your team makes the hiring decision.
Documents Accounts Training
Application01 / 07
Example, not client data
01 / THE MANUAL WORK
Employee experience depends on scattered reminders and records.
Candidate communication, document collection, leave requests and training tasks sit across inboxes. HR repeats policy answers while missing steps create avoidable delays.
- 01Slow candidate communication↗
- 02Incomplete onboarding↗
- 03Repeated policy questions↗
- 04Inconsistent offboarding↗
Ownership boundary: HR manages the employee lifecycle. Operations manages the jobs, tasks and projects employees perform. Operational SOP execution stays in Operations; employee training and HR policy guidance stay here.
02 / WORKFLOW DEMONSTRATION
One trigger. A connected sequence.
The actual rules, approvals and integrations are designed around your operation.
END-TO-END / AI HR & Employee Operations
- 01Applicant→
- 02AI extracts information→
- 03Predefined requirements checked→
- 04Human reviews→
- 05Interview scheduled→
- 06Hiring decision→
- 07Onboarding→
- 08Documents / training / accounts→
- 09Employee support→
- 10Offboarding
03 / AUTOMATION PROJECTS
The work we can take off your hands.
Custom workflows for this business function, with clear ownership and controlled exceptions.
- 01
Recruiting workflows and candidate screening assistance
↗ - 02
Candidate communication and interview scheduling
↗ - 03
Hiring workflows and onboarding
↗ - 04
Employee document collection and employee records
↗ - 05
HR requests, attendance and leave workflows
↗ - 06
Employee training and HR knowledge assistant
↗ - 07
HR policy / SOP Q&A
↗ - 08
Performance workflows and employee communications
↗ - 09
Offboarding and access-removal coordination
↗
Real project examples
Illustrative implementation scopes, not client case studies.
Employee support and leave
A permission-aware assistant retrieves current HR policy sources. Deterministic eligibility and routing rules prepare leave requests for the designated approver.
Offboarding checklist
An approved departure event creates document, equipment and access-removal tasks. Responsible teams confirm completion and unresolved actions return to HR.
04 / SYSTEM ARCHITECTURE
Intelligence inside a dependable system.
A governed path from the business event to the approved system update.
01Business event→
02AI understands→
03Rules / approval→
04System action→
05Recorded result→
APIs and webhooks connect your existing software. Validated records, explicit permissions and exception routes support every action.
05 / CONTROL MODEL
Different work. The right kind of control.
AI where context matters
Organize applicant evidence and retrieve approved employee policy information.
↗Workflows where certainty matters
Apply predefined requirements, record permissions, interview calendars and lifecycle checklists.
↗People where judgment matters
Make hiring and performance decisions, approve leave exceptions and handle sensitive HR requests.
↗06 / BUSINESS IMPACT
Better economics. More dependable work.
Success is measured against your current process and agreed operating goals.
More HR capacity
Reduce interview coordination, document chasing and policy lookup.
Faster employee response
Keep candidates and employees informed at each lifecycle stage.
Fewer missed steps
Track onboarding, training and offboarding across responsible teams.
Consistent employee records
Update approved employee information with permission-aware access.
07 / HOW WE IMPLEMENT
From operating problem to working solution.
- 01
Audit
Map the current process, systems, constraints and owners.
- 02
Prioritize
Compare business value, feasibility and risk.
- 03
Design
Define triggers, rules, AI tasks, approvals and handoffs.
- 04
Build
Connect existing systems with controlled integrations.
- 05
Test
Validate real scenarios, edge cases and recovery paths.
- 06
Launch
Release with training, documentation and monitoring.
- 07
Optimize
Review outcomes and improve the next cycle.
08 / INTEGRATIONS
Connect the software already carrying the work.
Compatibility depends on APIs, permissions and data quality. Tool names describe implementation options, not partnerships.
HR / applicant tracking systemsGoogle Workspacen8nOpenAI APIClickUp / mondayAPIs / webhooksPostgreSQL / Supabase
09 / FAQ
Before the work goes live.
Does AI decide who gets hired?
No. AI organizes information against documented requirements. Accountable people make hiring and employment decisions.
Can employees access confidential records?
Retrieval and actions use role-based permissions. Sensitive or unsupported questions route to HR.
Who owns employee work assignments?
Operations owns job, task and project assignment. HR owns employee records, attendance, leave, training and the employment lifecycle.
NEXT / YOUR HR & EMPLOYEES
Where is your business
still running manually?
We’ll map the process and identify where AI automation can create the most value.
Get an AI Automation Audit