Data Isn't Valuable. Decisions Are.

01 /The Concept

The website is a placeholder. The product isn’t live. But Writ has already raised $3.8M – which is either a sign of strong investor conviction or a very good pitch deck. Probably both.

The startup is building a business intelligence platform – "the way it should be."

Data has always been framed as a source of competitive advantage. Yet despite the arrival of AI, most companies still make decisions the same way they did decades ago, using the same BI tools and dashboards. The problem is that dashboards by themselves create no value. The value comes from the person who looks at the dashboard and draws a conclusion.

With business conditions changing faster than ever, that loop – look at dashboard, form opinion, decide – needs to run more frequently. But there's also an opportunity: knowing which past decisions were made on what data, and what outcomes they produced, makes future decisions faster and better. That's exactly where AI can help.

Writ's concept is straightforward: a next-generation dashboard platform built for the AI era, with two defining properties. First, it should be proactive – surfacing recommended decisions and actions for different teams rather than waiting to be queried. Second, it should track outcomes – recording what decisions were made on the basis of what data, and whether they worked.

Classic dashboards are communication tools. They show data; that's it. The question Writ is trying to answer is how to apply AI to cut the distance between data and decision.

02 /Why It Matters

A while back, a post on X captured the insight well: "A non-obvious thing I learned building dashboards for senior executives – they don't actually want dashboards. When I showed them charts with toggles and filters, they didn't know where to look or what to do. They wanted ready-made insights, presented as simply as possible."

That observation inspired a broader post about product design – the idea that users don't want to reason; they want to be handed the answer. But in Writ's case, no generalization is needed. The tweet points directly at what Writ is attempting: moving business intelligence from data visualization to data-driven decision support.

Decision support systems do exist, but they've historically been complex and expensive. AI makes them simple, accessible, and mass-market. The idea is clearly in the air – other startups are moving in the same direction.

A [recent review](/review/vovremja-bystro-i-djoshevo) covered Flawless, a platform that reduced dashboard-staring by proactively monitoring systems and alerting the right person when something went wrong. It raised $3.2M, then rebranded to Eversync and leaned into full business process automation – which is the same concept: automate the routine, bring humans in only when the situation is genuinely novel.

Triple Whale, [covered here](/review/luchshe-okazatsja-poseredine), built data-driven decision support specifically for e-commerce operators and has raised $52.7M.

Fora, [covered previously](/review/pust-i-menshe-no-zato-dorozhe), built an AI assistant for C-suite executives with the same north star: shrink the gap between data analysis and a decision. Their pitch is "spend 30 seconds deciding instead of 30 minutes studying." They've raised $3.8M.

And Astronuts, [covered recently](/review/proshhe-prodat-matrjoshku), tracks engineering team performance metrics – but its real value is in surfacing insights on what to change and which AI tools can help. The platform includes those tools too. Astronuts is early and currently going through Techstars.

03 /Opportunities

The general direction: build simple, accessible, mass-market decision support systems powered by AI to displace traditional BI platforms.

The BI market itself is already large – nearly $30B in 2023, projected to grow to $55B by 2032. But it may grow faster than that, driven by a new generation of platforms that don't just visualize data but actually support decisions. More capable tools usually expand the market rather than just stealing share from incumbents.

Apparently this view isn't unique. Otherwise Writ wouldn't have closed a seed round on the basis of a placeholder website and a stated direction.

What industry or function currently relies on traditional dashboards to make decisions? What data do those dashboards show? What decisions do people make from them? Which of those decisions could be automated with AI? The more tractable starting point is defining that line clearly: which decisions are routine enough to automate end-to-end, and which require a human in the loop because the cost of an error is too high. That’s a product design question, but it’s also a sales question – and getting it right determines whether the platform earns trust or erodes it.