Felix has launched an AI workflow platform for legal, insurance and accounting teams, and disclosed USD $1.7 million in pre-seed funding led by XYZ Venture Capital.
The London-based company aims to replace ad hoc use of generative AI with structured workflows that produce the same result from the same input and record each step in an audit trail. The system is already in use at large legal, finance and insurance firms.
The launch comes as professional services firms grapple with growing use of generative AI outside formal systems. Lawyers and other advisers increasingly use general-purpose tools for drafting, summarising and checking work, but that can leave firms with limited oversight of how outputs were produced and what risks entered the process.
Felix is targeting that problem by shifting users away from open-ended prompts and towards defined process flows. Users can describe a process in natural language, and the platform converts it into a workflow that can combine multiple AI models, handle documents and run repeatedly under the same logic.
Founder background
Felix was founded by Tomas Scavnicky, who previously created legal workflow automation business Parrot. Parrot was acquired by FileVine, and Scavnicky has argued that the next stage of AI adoption in professional services depends less on raw model performance than on whether firms can embed the technology into processes that can be reviewed and controlled.
The system is designed for sectors where decisions have legal, financial or regulatory consequences. In those settings, firms often need to show how a result was reached, who reviewed it and where human judgement was applied.
According to Felix, the platform lets organisations build in human checkpoints while moving routine parts of a process into software. It can also help firms capture know-how that would otherwise sit with individual staff members or across scattered documents and systems.
One early user cited by Felix is Advocate, a New York-based risk management firm. Advocate used the platform to clear a backlog of more than 65,000 mortgage insurance policies in three weeks, a task that would have taken more than 10 years to complete manually, according to the company.
Funding plans
The pre-seed round included angel investors described as current and former leaders and founders from Amazon, Apple, Palantir, Flexport, Yelp and Midjourney. Felix will use the funding to expand the product and grow across legal, insurance and accounting.
The business has also changed its name from Script.so. The rebrand reflects a shift from a narrower automation product to a broader workflow platform aimed at multiple professional services sectors.
The debate around AI in legal technology has often centred on the quality of large language models and the risk of inaccurate output. Felix is instead focusing on consistency and traceability, arguing that unpredictable variation between prompts can make AI difficult to supervise in law firms and other regulated environments.
That reflects a broader divide in the market. Some suppliers continue to market AI tools as assistants for individual workers, while others are trying to embed AI in repeatable business processes with clearer governance and defined review points.
Tomas Scavnicky set out that argument in comments released by the company. “AI has made it easier to work faster as individuals, but it hasn’t solved how work gets done across a business. In professional services, you need consistency, accountability and control. Felix turns AI from something experimental into something you can actually run your operations on. In law, that matters. You’re not relying on black box outputs, and your clients get both the service and the confidence they expect,” he said.
Matej Vetrak, Co-founder and CTO of Felix, also emphasised the company’s focus on team processes rather than individual productivity. “Most tools today help individuals move faster. What’s missing is coordination. Felix allows teams to capture their expertise and turn it into systems that run consistently, with humans involved where it matters. That’s how you scale quality in environments like law,” he said.
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