From Inbox Backlog to Instant Answers: How an AI HR Assistant Cut Manual Work by 70%

Policy-aware, citation-backed answers that also do the work. We delivered an AI HR assistant that cut manual tickets by 70% and rolled it out in 18 weeks with zero downtime.

INDUSTRY
SaaS
COUNTRY
USA
COLLABORATION MODEL
Dedicated Team
TEAM SIZE
5
TECH STACK
HTML5, CSS, JS, Bootstrap, Python, PostgreSQL
SERVICES
AI/ML Development, Web Application Development
WHEN
2024
SHARE
ai-hr-assistant-case-study-automation

An AI HR Assistant that cuts manual work by 70% – without changing your channels

Real HR automation isn’t a chatbot with nice manners. It’s a policy-aware assistant that answers with receipts and executes the update in Teams/Slack or the web portal you already use. Think of it as strapping a twin-turbo to your shared HR inbox.

People Ops was drowning in repetitive questions (leave balances, payslips, benefits). Compliance pressure was rising: new legislation meant answers needed to be right now and audit-ready.

Data pinballed across HRIS, payroll, and LMS, and too much of it was re-keyed by hand. Employees expected consumer-grade speed, but the existing FAQs couldn’t handle company-specific policy nuance.

Our approach was straightforward and conservative: build a policy-tuned assistant on your own handbook and regional labor codes, add retrieval with citations so every answer points to its source, and wire least-privilege connectors into HRIS/payroll/ticketing so the bot can both answer and complete the admin.

-70%
Manual HR Tickets
50%
Faster Day-one Admin
0.8 pts
Increased in CSAT

Employees stay in Teams/Slack or the web portal, SSO handles access, and every action is logged for audit.

No new app, no rewrite – just an “Ask HR” entry point where work already happens.

The outcome was measurable and steady. Because responses carry timestamped sources, auditors and employees see the same truth, and HR specialists get their time back for the work that needs judgment rather than copy-pasting policy.


HTML5 icon
HTML5
CSS icon
CSS
JS icon
JS
Bootstrap icon
Bootstrap
Python icon
Python
PostgreSQL icon
PostgreSQL

Retrieval

Azure Cognitive Search
Custom Embeddings

Backend

Python FastAPI
Azure Functions
PostgreSQL audit store

Integrations

Workday
UKG
ServiceNow
Okta SSO

In our delivery practice, the work moves fastest when we treat the handset as production: set edge budgets: latency, battery, offline before tuning anything. Map every field to FHIR up front so integration turns into configuration, and validate against a physical reference to earn clinical trust. Ship as an SDK and roll out via MDM so you can pilot, stage, and roll back- laying the rails for whatever you build next.

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