Technology health checks, 12-month transformation roadmaps and ongoing technology leadership for recruitment agencies, with no vendor bias.
You don't know if your tech is earning its keep, or where AI actually fits, for your recruitment agency. Independent advice, based on what actually works for your business. Three ways to work with us, depending on how much support you need.
Technology Health Check in 1 Day
Most clients identify 8 to 12 improvements. Implementing a couple usually pays for the audit itself.
12-Month Technology Transformation Plan
Current state assessment, a phased 12-month roadmap from quick wins through to full transformation, and an implementation playbook with vendor shortlists, timelines and budgets. This includes designing workflow automation where it removes real cost or friction, not just recommending tools.
Fractional CTO / Strategic Technology Partner
Strategic Advisory: 1 day a month plus on-call support, for teams executing the roadmap themselves who want expert validation along the way.
Hands-On Partnership: 2 to 3 days a month, we actively project manage and implement alongside you, not just advise.
Fractional CTO: 5 to 8 days a month, full technology leadership including board attendance and M&A due diligence, for PE-backed or high-growth businesses.
Most audits point somewhere specific: a CRM that's become the bottleneck, a database that's gone quietly out of date, or a case for the full 12-month roadmap. You'll know which, and why, by the end. From here, most clients either bring us in to deliver the roadmap, or move to an ongoing retainer so we guide execution as it happens. Nothing from this stage goes to waste either way.
Most CRMs hold more useful data than anyone's actually using, and less than most people assume. Before any AI layer goes on top, the real question is what the CRM actually contains, what it's missing, and where that missing data lives instead.
We build data warehouses that connect a client's CRM, and other business data sources, to an AI reasoning layer, so non-technical staff can ask plain English questions and get answers grounded in their own data. Access is built with proper governance from day one: tiered permissions, multi-factor authentication and audit trails, not bolted on after the fact.
The work doesn't stop at a chatbot. Done properly, it's a foundation the client can keep building on, from using AI outputs directly in their own client-facing work, through to running their own agents on top of the same data.