About Beta Flow
I’m Daisy Sokerova. I’m the product and operations person teams bring in when they don’t have one: usually the first, often the only.
Most recently I was the sole product function at a climate-tech platform, where I took a UK energy compliance product from consultancy spreadsheets to a demo-ready platform in six weeks, wrote 60+ product specifications in five months, and built the QA framework across an eight-stage data pipeline from nothing.
I work best where the domain is complex, regulated, or hard to specify: the situations where the difficult part is establishing what is actually true before anything gets built.
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Where I’ve worked
More than ten years in B2B SaaS and startups: adtech and programmatic media, mobile content and monetisation, location data, carbon measurement and supply chain emissions, and most recently carbon accounting and UK energy compliance.
The first half of that was client-facing: account leadership, client services and enterprise delivery. That is where the habit of starting from the customer’s actual problem comes from, and why I am sceptical of a roadmap nobody outside the building has asked for.
Compliance is the deepest domain I have worked in, but the pattern underneath it is not sector-specific. Complicated rules, incomplete data, and a team that needs to ship something defensible. That shows up in fintech, healthtech and logistics as readily as it does in sustainability.
Why Beta Flow exists
I kept seeing the same pattern inside growing SaaS teams. The problem was rarely a lack of effort. It was scattered context, unclear ownership, decisions stuck in conversation, and useful work caught between product, operations, delivery, QA, documentation, and adoption.
Beta Flow is a way to bring structure to that middle ground without making the team heavier. The aim is simple: make the right work easier to decide, build, hand over, use, and improve.
A lot of how that gets done now is AI-supported, and worth being specific about.
What that looks like.
- Product judgement
- Turning unclear ideas, customer signals and specialist requirements into decisions the team can act on.
- Operational structure
- Putting ownership, documentation, QA rhythm and workflow clarity around work that has to keep moving.
- Delivery pragmatism
- Adding enough structure to make progress visible and repeatable, without tipping into process theatre.
If the work feels messy,start with a practical next step.
Services are structured around embedded support from one day a week, a focused triage when the problem is unclear, and workflow sprints for a single piece of work that needs shaping. Available for new work from September 2026.