The Simple Guide to Custom AI Recruitment Agents + Avatars

A 30-day plan to help HR Recruiters rapidly adopt the use of AI without major external investment!
Recruitment is a Costly Game
My first real career job was back in 1896 working for a recruitment company, yes, I really am that old! While the platforms I make use of (like Indeed) are slick and work well for general roles, high-level roles deserve a different class of treatment. Back in the day, I saw how rich headhunting could be for agencies. Constant churn meant that placements who were disgruntled about how they were onboarded meant we could grab them back and recycle them every 12 months. We made a fortune attracting them by selling advertising campaigns in the Sunday Times, where there was a 10-page supplement. I don't think this even exists today, thanks to LinkedIn. Yet there's still a lot of costly time spent administering campaigns, managing reviews, communications with talent, and onboarding them, especially where, in this day and age, we need compliance and security and deep-level checks to see if what was on the CV is for real!
The Future Role of AI Agents in HR
HR teams across industries are increasingly turning to AI-powered custom agents and avatars to streamline recruitment workflows, elevate candidate experiences, and reduce the time and cost of onboarding new hires. By designing AI agents tailored specifically to their organisational needs, HR departments can automate labour-intensive tasks, deliver personalised candidate journeys, and efficiently track and report on recruitment metrics, all while maintaining a human-centric experience. Yes, there are many platforms, like Indeed, that can help automate, but you are limited to who is in their candidate pool, and you can face significant advertising costs to get to the top of searches. Tactics matter. If you use a mass advertising platform, then you are competing with every other similar company. It is always better to find and attract candidates who are not on the market, and they are probably the best ones.
- No ongoing license or support fees
- Seamless integration with your internal systems (ATS, HRIS, etc.)
- Rapid iteration and enhancement
- No Advertising
- Reduced dependency on agencies and their fees.
- Greater data privacy and control
- Candidate Sourcing: Automate profile matching and shortlist candidates from platforms like LinkedIn.
- Interview Scheduling: Eliminate the back-and-forth of coordinating calendars.
- Pre-screening & FAQs: Use agents to answer candidate questions and conduct first-stage filtering.
- Onboarding Guidance: Help new hires complete forms, access policies, and navigate systems.

- Prioritise tasks with high ROI and easy implementation.
- Start with high-impact but low-effort tasks like pre-screening or FAQ responses.
A systems-based approach ensures AI agents are mapped to real HR workflows.
- Identify repetitive or time-consuming tasks such as screening, interview setup, and onboarding orientation.
- Use workflow diagrams to visualise how AI agents fit in.
- AI Model: Use a secure GPT model (e.g., OpenAI via Azure) to keep data inside your infrastructure.
- HR Tools: Integrate with your ATS (Greenhouse, Lever), communication platforms (Slack, Teams), and automation platforms (Zapier, Power Automate).
- Candidates interact with your agent directly via email, LinkedIn, or chat.
- Agent answers queries, collects application data, and initiates the next steps.
- Agent helps new hires complete onboarding modules and forms.
Your agent should not only interact but also intelligently track and report on performance.
- Custom Tone & Persona: Ensure your agent reflects your culture as friendly, professional, and inclusive.
- AI Avatars: Get your key personalities created as digital twins to deliver personal videos to quickly build trusted relationships. Find out how you can get this done as a simple service at www.mirrormeai.com.
- Smart Conversations: Equip the agent to conduct basic interviews, evaluate answers, and escalate promising candidates.
- Onboarding Guidance: Automate next steps for new hires, access setup, documentation, and policy explanations.
- Performance Tracking: Build dashboards using Excel/Python to track time-to-hire, candidate engagement, and onboarding completion rates.
LinkedIn is a massive candidate pool, but it's designed for manual interaction. What if your AI agent could act like a human recruiter?
- Source Candidates: Use Python scripts to find profiles on LinkedIn matching job criteria.
- Initiate Conversations: Send customised outreach messages.
- Manage Interviews: Coordinate times and send reminders.
- Track Outcomes: Update your ATS and generate real-time reports.
This can save 2–4 hours per recruiter per day and ensure consistent, branded communication. Where to Start (Without Hiring Consultants)
Where are the reps bogged down? Where do clients get stuck or delayed?
Prospecting on LinkedIn, onboarding new users, or post-sale check-ins are great starting points.
Tools now exist that let you build your own AI agent in-house, no coding required, no expensive platform lock-ins.
Measure time saved, increase in satisfaction scores, and account growth over 30–90 days.
Find an Early Adopter to Trial the Creation of an AI HR Agent
AI agents are not just tech, they’re transformative tools for the modern HR team. They free your staff to focus on high-impact tasks like interviewing, culture fit, and employee development.