AI-Tech Connect: AI That Actually Drives Revenue: From Activity to Billings

AI-Tech Connect: AI That Actually Drives Revenue: From Activity to Billings

Artificial intelligence is no longer a future concept for recruitment businesses. The question is no longer whether AI has a place in recruitment, but where it delivers genuine commercial value.

In this AI-Tech Connect session, Manu Vanderveeren, Co-Founder of Spott, explored where AI is already improving recruiter performance, where expectations are running ahead of reality, and how recruitment technology is likely to evolve over the next 12 months.

The biggest takeaway was simple. AI delivers the greatest value when it supports revenue-generating activity across the entire recruitment workflow, rather than acting as another disconnected tool.

Business development remains the biggest opportunity

Despite rapid advances in AI, business development remains one of the least developed areas for recruitment technology.

Many agencies still rely on spreadsheets, standalone prospecting tools and manual processes to identify opportunities and manage client outreach. AI is beginning to help identify buying signals and automate outbound activity, but much of today's functionality simply enables recruiters to do more of the same activity at greater scale.

The bigger opportunity lies elsewhere.

As AI takes over repetitive prospecting tasks, recruiters can spend more time developing stronger client relationships, nurturing key accounts and identifying strategic opportunities. Future systems are likely to help recruiters prioritise the right organisations, uncover new contacts within existing target markets and recommend when to engage clients based on meaningful business signals.

Rather than replacing relationship building, AI has the potential to make it more effective.

Smarter search delivers faster placements

Candidate search is one of the areas where AI is already creating measurable value.

Traditional Boolean search remains highly effective when databases are well structured and consistently tagged. However, recruitment databases also contain large amounts of valuable information hidden within interview notes, emails and recruiter conversations.

Semantic search allows recruiters to search this unstructured information alongside traditional database fields.

The strongest results come from combining both approaches. Structured filters narrow the search while AI analyses contextual information that would previously have been impossible to find.

This enables recruiters to identify candidates based on career aspirations, relocation preferences, specialist expertise or other details that rarely exist as structured fields.

For agencies operating in highly specialised markets, this creates significant efficiency gains and helps surface candidates who might otherwise remain hidden.

AI works best when it has context

Many recruiters already use AI tools to draft emails, write candidate summaries or generate responses.

The challenge is that standalone AI tools rarely understand the full context surrounding a candidate, client or vacancy.

An AI assistant operating within the ATS or CRM has access to previous conversations, candidate history, client relationships and job information. This allows communications to become more relevant, personalised and consistent without requiring recruiters to continually copy information between multiple systems.

The more context AI has, the more useful it becomes.

Screening can become faster without losing quality

AI is proving particularly effective when managing high volumes of inbound applications.

Instead of manually reviewing hundreds of CVs, recruiters can allow AI to identify the strongest candidates while filtering out clearly unsuitable applications. This enables consultants to focus their time where it adds the greatest value.

Interest is also growing in AI voice technology for initial screening conversations, although adoption remains limited.

For high volume recruitment this may become an increasingly practical solution, particularly where faster response times improve the candidate experience. For specialist and executive recruitment, however, relationship building is likely to remain firmly led by recruiters.

Clean data is becoming a commercial advantage

One of the strongest themes throughout the discussion was the importance of data quality.

AI can only perform as well as the information available to it.

Many agencies still operate databases containing outdated candidate records, incomplete company information and inconsistent tagging. AI is now making it possible to enrich these records automatically by updating profiles, identifying job changes, adding missing information and improving data quality without manual effort.

Better data supports better search, better matching, stronger business development and ultimately better commercial outcomes.

For recruitment leaders investing in AI, maintaining a clean database is becoming a competitive advantage rather than simply an administrative task.

Presentation still depends on the client

Although AI can now generate candidate summaries, shortlist reports and formatted CVs within seconds, there is no universal approach to presenting candidates.

Some clients continue to prefer straightforward emails, while others value structured reports or branded documentation.

The technology is capable of producing multiple presentation formats, but the most effective approach remains the one that aligns with each client's preferences.

AI should reduce administration while allowing recruiters to retain flexibility in how they deliver their service.

The future is integrated rather than fragmented

Today's recruitment technology often consists of multiple disconnected products handling sourcing, outreach, note taking, matching and reporting.

The direction of travel is towards a single intelligent platform where these capabilities work together.

Rather than moving between different systems, recruiters will increasingly interact with one AI assistant capable of understanding previous activity, learning from recruiter decisions and supporting multiple stages of the recruitment workflow.

The recruiter remains responsible for building relationships, making commercial decisions and delivering expert advice. AI increasingly becomes the operational engine supporting those activities behind the scenes.

For recruitment businesses, the real opportunity is not simply automating individual tasks. It is creating connected workflows that reduce administration, improve decision making and give recruiters more time to focus on the work that drives billings.

Speaker: Manu Vanderveeren - Co-Founder, Spott

For more information about Spott, visit their Partner page here.