London Seminar Programme 2026

In this session, we uncover why recruiters so often abandon their own ATS — and what that really costs in speed, placements, and revenue. We’ll show how messy, outdated data slows teams down, drives them back to LinkedIn, and silently kills opportunities. Why do so many recruiters still start on LinkedIn — even though their ATS should be their most valuable asset?
In this session, we dive into one of the most common (and costly) challenges recruitment agencies face today: messy, outdated, and under-used ATS data. We’ll unpack how poor data quality silently slows down placements, increases time-to-fill, weakens client relationships, and pushes recruiters away from their own systems.

Through concrete, real-world examples, you’ll discover how automatic data cleaning, enrichment, and real-time signals can fundamentally change the way agencies work with their ATS. You’ll see how these approaches restore trust in data, surface hidden opportunities, and turn an existing ATS into a true commercial engine — faster, smarter, and aligned with how recruiters actually operate.

Finally, we’ll show how daidalo makes this possible in practice: working quietly in the background of your existing tech stack to continuously clean, enrich, and activate your ATS data. You’ll see how agencies use daidalo to move from static databases to living systems that automatically stay up to date, generate commercial signals, and support recruiters without changing how they work.

Session sponsor: