Скачать или смотреть Benefits of HR Workflow automation using AI

Through this video, we will learn benefits and reasons for doing hr workflow automation using AI

My Prompt : I have created three different ai agents called application bot,evaluation agent and scheduler agent in order to automate Hr workflow. So please help me build a simple ROI calculator model where I can plug in company’s hiring volume and HR costs to see tailored savings and revenue impact from this project. That way,I’ll have numbers specific rather than general industry averages.

Reply from AI : Got it — you want a *custom ROI calculator* that takes in your company’s hiring volume and HR costs, then outputs savings and revenue impact from your AI agents (application bot, evaluation agent, scheduler agent). Let’s design a simple but flexible model you can plug numbers into.

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🧮 ROI Calculator Framework

1. *Inputs (Company-specific)*
**Hiring volume per year**: number of hires (e.g., 500 hires/year).
**Average HR cost per hire**: includes recruiter time, interview scheduling, admin (e.g., $3,000/hire).
**Time saved per hire by AI agents**:
Application bot: hours saved in screening.
Evaluation agent: hours saved in assessment.
Scheduler agent: hours saved in coordination.
**Average HR hourly cost**: cost of HR staff per hour (salary ÷ working hours).
**Revenue impact per faster hire**: optional — value of filling a role earlier (lost productivity avoided).

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2. *Formulas*

*Total HR cost (baseline)*
\[
\text{Baseline Cost} = \text{Hiring Volume} \times \text{HR Cost per Hire}
\]

*Time savings per hire (AI impact)*
\[
\text{Total Hours Saved} = \text{Hiring Volume} \times (\text{App Bot Hours} + \text{Eval Agent Hours} + \text{Scheduler Hours})
\]

*Cost savings from automation*
\[
\text{Cost Savings} = \text{Total Hours Saved} \times \text{HR Hourly Cost}
\]

*Revenue impact (optional)*
\[
\text{Revenue Impact} = \text{Hiring Volume} \times \text{Days Faster per Hire} \times \text{Daily Value of Role}
\]

*ROI*
\[
\text{ROI} = \frac{\text{Cost Savings} + \text{Revenue Impact} - \text{AI Project Cost}}{\text{AI Project Cost}}
\]

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3. *Example Calculation*

Suppose:
Hiring volume = 500 hires/year
HR cost per hire = $3,000
HR hourly cost = $50/hour
Time saved per hire = 2 hrs (application bot) + 1 hr (evaluation agent) + 1 hr (scheduler) = 4 hrs
AI project cost = $100,000
Revenue impact per faster hire = $500

*Baseline Cost* = 500 × $3,000 = $1,500,000
*Total Hours Saved* = 500 × 4 = 2,000 hrs
*Cost Savings* = 2,000 × $50 = $100,000
*Revenue Impact* = 500 × $500 = $250,000
*ROI* = (100,000 + 250,000 – 100,000) ÷ 100,000 = *2.5 (250%)*

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In the example we walked through, the *cost savings from automation* came out to:

*Total Hours Saved* = 500 hires × 4 hours saved per hire = *2,000 hours*
*HR Hourly Cost* = $50/hour
*Cost Savings* = 2,000 × $50 = *$100,000*

👉 So, in a nutshell, the *direct HR cost savings* from your AI agents in that scenario would be **$100,000 per year**.

Further prompt from me : ok list down 5 major reasons why companies should take this seriously and start implementing such a project

Reply from AI : *Quick Answer:* Companies should take AI-driven HR automation seriously because it reduces costs, accelerates hiring, improves candidate experience, enhances decision-making, and strengthens competitiveness.

🚀 5 Major Reasons to Implement AI in HR Workflows

**Cost efficiency**: AI reduces repetitive manual tasks like screening, scheduling, and document handling. This directly lowers HR operational costs and frees recruiters to focus on strategic work.
**Faster hiring cycles**: Automated application bots and scheduling agents cut down time-to-hire by eliminating bottlenecks. Filling roles faster reduces productivity loss and revenue leakage.
**Improved candidate experience**: AI tools provide timely communication, smoother scheduling, and personalized assessments. This enhances employer branding and helps attract top talent.
**Data-driven decision-making**: AI evaluation agents analyze candidate data more objectively, reducing bias and improving quality of hire. HR leaders gain insights into workforce trends and hiring effectiveness.
**Competitive advantage**: With 80% of decision-makers believing AI adoption is necessary to stay competitive, companies that implement it early gain a strategic edge in talent acquisition and retention.

⚠️ Risks & Considerations
**Bias in algorithms**: AI must be trained carefully to avoid perpetuating discrimination.
**Human touch**: Over-automation can erode personal connection if not balanced with human oversight.

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