Finding your way through a world run on data.

The rights exist on paper. Our job is making them usable. Often the work begins with a question rather than a request: you suspect something about how a system is making decisions, but you can't yet see it. We help you think through what would actually answer that, then shape it into precise requests designed to bring back what's needed, from a single well-aimed subject access request to a coordinated effort across a whole affected group that can show how a system works across a lot of people at once.

Access is only the start. The same body of rights lets you correct inaccurate data, object to how it's used, and, where a decision has been made about someone by an automated system, contest it and ask for a human to look again. We work across that full range, and we're honest that a request won't always resolve a situation, though it's often the way to understand it and the basis for what comes next.

We also pursue rights when they aren't honoured. Where a response is inadequate, ignored, or an organisation is mishandling data, we assess where it falls short and press for what's owed, extending, where needed, to complaints to the organisation or regulator and the evidence to support a legal case.

The same requests, at any scale, produce data that has to be handled: tracked, organised, and made sense of. And most organisations hold far more besides, from casework and records to the information that moves between systems. We design how that work runs, so it's repeatable and stays with the team rather than one person, built with lightweight tooling you can own, with documentation and training that keep it in your hands.

This often matters most where an organisation is already doing the work but has outgrown the spreadsheets and inboxes holding it together. As caseloads grow, or the same kind of request comes round again, we design systems that fit how you actually work.

These tools are becoming part of how organisations work, and the useful question is how to do it well. We help you work out where AI and automation fit in your processes, run the data protection impact assessments new tools call for, and set up the policies, guidance and working practices that let a team use them with confidence.

We come to this from years of scrutinising automated systems, so we know where their faultlines tend to be. We treat adoption as a question about the whole system: what a tool touches, what it changes, and what needs to be in place around it. The result is plain, practical guidance a team can follow, and the governance to keep it on track as the tools change.