Data intelligence for recruitment agencies
Your CRM holds more useful data than you're using and less than you assume. Meanwhile your consultants run the same searches as every other agency. Data Intelligence covers both problems: working out who you should be talking to, and making what you already know usable. Either can stand alone, and both start the same way, with a look at what your data actually holds.
Know who to target
Target lists built from who you've actually converted
You're fishing in the same pond as everyone else, your consultants lose hours each week to manual research, or you're entering a sector with no contacts. The prospects you want often sit in industry databases, public records and specialist sources your current tools can't reach.
- Company intelligence. Target lists built from what has actually converted, not generic firmographics.
- ICP modelling. Four signals from your converted clients (industry, company size, relevant job titles and engagement history) turned into a working model.
- Prioritised output. Every company marked as worth acting on, holding some value or flagged for your team to review.
- Lookalike expansion. AI-powered identification of companies matching your best client profile.
- CRM data enrichment. Filling gaps in the company and contact records you already hold.
- Bespoke research. Custom workflows to answer specific questions about your target market.
Not every gap can be filled. We tell you upfront where coverage is likely to be strong and where it isn't.
Ask questions of your own data
AI data warehouses for recruitment agencies
Most CRMs hold more useful data than anyone is using, and less than most people assume. Before any AI layer goes on top, the real question is what the CRM contains, what it's missing and where the missing data lives instead.
We build data warehouses that connect your CRM and other business data sources to an AI reasoning layer. Non-technical staff ask plain English questions and get answers grounded in your own data. For example: which clients have gone quiet in the last year, or which sectors are producing your best margins.
Access is built with proper governance from day one, not bolted on afterwards: tiered permissions, multi-factor authentication and audit trails.
The work doesn't stop at a chatbot. Done properly, it's a foundation you can keep building on, from using AI outputs in your own client-facing work through to running your own agents on the same data.
Who this is for
Agencies whose team is doing manual research instead of billing, whose CRM data has gone quietly out of date, or who want AI working on their own data and not a generic chatbot.
Frequently asked questions
What is an AI data warehouse for a recruitment agency?
A central store that connects your CRM and other business data to an AI layer, so your team can query it in plain English with proper access controls.
What's the difference between data enrichment and data intelligence?
Enrichment fills gaps in records you already hold. Data intelligence is the wider work: deciding who to target, enriching the data and making your own data queryable.
Is our data secure?
Access is tiered, protected by multi-factor authentication and logged with audit trails.