Case Study: How a UK Recruitment Agency Reduced Time-to-Hire by 60% with AI

For recruitment agencies across the United Kingdom, time-to-hire is one of the most critical performance metrics. Every day a role remains unfilled costs both the agency and its client money, productivity, and competitive advantage. This case study examines how a Glasgow-based recruitment agency transformed its hiring workflow using AI-as-a-hire from Struan.ai, achieving a remarkable 60% reduction in time-to-hire within just three months.

The Challenge: A Growing Agency Struggling with Scale

The agency in question specialises in placing mid-level professionals across finance, technology, and engineering sectors throughout Scotland and the North of England. With a team of twelve consultants handling approximately 200 active roles at any given time, the firm had grown steadily over five years. However, that growth had begun to expose serious inefficiencies in their recruitment process.

Before engaging with Struan.ai, the agency faced several interconnected challenges:

• Average time-to-hire had crept up to 38 working days, well above the industry benchmark of 25 days
• Consultants spent an estimated 12 hours per week on administrative tasks such as CV screening, interview scheduling, and candidate communication
• Client satisfaction scores had dropped by 15% over the preceding year due to slow turnaround
• The firm was losing competitive pitches to larger agencies with more sophisticated technology stacks

The agency's managing director noted that the team was spending far too much time on repetitive tasks and not enough time building relationships with candidates and clients — the core of what makes a recruitment agency successful.

The Solution: AI-Powered Recruitment Workflows

After evaluating several options, the agency chose Struan.ai's AI-as-a-hire model, which allowed them to deploy intelligent automation without the need for a full-time technology hire or expensive enterprise software licences. The implementation focused on three key areas.

Automated CV Screening and Shortlisting

Struan.ai deployed an AI agent trained to parse incoming CVs against job specifications. The system analysed skills, experience levels, qualifications, and even soft indicators such as career trajectory and role relevance. Rather than replacing human judgement, it created a prioritised shortlist for each consultant, flagging the top 15% of candidates for immediate review and categorising the remainder.

Within the first fortnight, consultants reported saving between 6 and 8 hours per week on initial screening alone. The AI consistently identified strong candidates that might otherwise have been overlooked in manual reviews of large applicant pools.

Intelligent Interview Scheduling

One of the most time-consuming elements of the recruitment process is coordinating interview times between candidates, hiring managers, and sometimes panel members across different organisations. Struan.ai's scheduling agent integrated with the agency's existing calendar systems and candidate communication platforms to automate this entirely.

The agent handled availability checking, time zone considerations for remote interviews, reminder emails, and even rescheduling requests — all without consultant intervention. This alone eliminated an average of 3 hours per consultant per week.

Candidate Engagement and Follow-Up

Keeping candidates engaged throughout a lengthy hiring process is essential to reducing drop-off rates. The AI agent managed personalised follow-up communications at key stages: application acknowledgement, pre-interview preparation materials, post-interview feedback timelines, and offer stage updates.

Candidate feedback surveys showed a 28% improvement in satisfaction with communication during the hiring process after the AI system was deployed.

The Results: Measurable Impact Across the Board

After a 90-day implementation and optimisation period, the agency recorded the following results:

• Time-to-hire reduced from 38 to 15 working days — a 60% improvement that placed them well below the industry average
• Consultant productivity increased by 35%, with each recruiter handling 28% more active roles without additional overtime
• Client satisfaction scores recovered to 92%, the highest level in the agency's history
• Candidate drop-off rates fell by 40%, attributed to faster processes and improved communication
• Revenue per consultant rose by 22% in the first full quarter following implementation

The financial impact was substantial. The agency estimated that the AI deployment generated an additional £180,000 in placement fees over six months, against a total investment of approximately £12,000 in Struan.ai services during the same period.

Key Lessons for Other Recruitment Agencies

Several important insights emerged from this engagement that are relevant to other SMB recruitment firms considering AI adoption:

1. Start with the biggest time sinks. CV screening consumed the most consultant hours and offered the clearest ROI. Tackling it first built confidence in the technology across the team.
2. Maintain the human element. AI handled the administrative burden, but all final decisions on candidate suitability remained with experienced consultants. This preserved the agency's reputation for quality and personal service.
3. Measure relentlessly. The agency tracked time-to-hire, consultant hours, and client satisfaction weekly from day one, enabling rapid adjustments to the AI configuration.
4. Communicate the change to clients. Several key clients were briefed on the new technology, and the improved speed and candidate quality became a selling point in new business pitches.

Why AI-as-a-Hire Works for Recruitment

The recruitment sector is particularly well-suited to AI automation because so much of the process involves pattern matching, scheduling, and communication — tasks where AI excels. However, many smaller agencies cannot justify the cost of building in-house AI capabilities or subscribing to enterprise recruitment platforms designed for firms ten times their size.

Struan.ai's model bridges this gap. By providing AI capability on a flexible, scalable basis, agencies can access the same productivity gains as their larger competitors without the overhead. The Glasgow-based agency in this case study was able to compete — and win — against national firms with significantly larger technology budgets.

Looking Ahead

Following the success of the initial deployment, the agency has expanded its use of Struan.ai to include market mapping for new sector expansions and automated reference checking. They project a further 20% improvement in overall operational efficiency over the coming year.

If your recruitment agency or professional services firm is looking to achieve similar results, explore our case studies to see how Struan.ai helps UK SMBs hire AI rather than hire for AI.