An AI-driven self-service tool for 33M EU companies
An AI-powered product that turns complex CSRD/ESRS legislation into a clear, actionable roadmap tailored to each company’s operations.
Project
Background
Companies across the EU are legally required to comply with the CSRD to report environmental and social impact, governance and how it's integrated in their business strategy. Yet, most SMEs lack the expertise, time and internal resources to interpret the ESRS requirements (sustainability standards) and turn them into actionable work.
The 2025 Omnibus update adjusts thresholds and timelines for some companies, but expectations from investors, customers and regulators remain.
CSRD Simplified
Details
CSRD Simplified is designed as a self-service product that translates regulatory complexity into a prioritised, company-specific roadmap - without requiring legal or sustainability expertise.
It's an AI-powered B2B tool helping Sustainability and Compliance Managers understand what to report and how to take action to improve impact.
Solution
Impact
With CSRD Simplified, organisations move from guessing to knowing.
Clarification of applicable reporting standards
Clarification of current impact and level of compliance
Reduces stress and confusion.
Actionable roadmap with real-time updates when CSRD changes.
Strengthens trust with investors, customers and partners.
Target group validation
Reporting standards of 1,200 data points
Overwhelmed Lina - a synthetic user
By clustering sources incorporating interviews, opinions and pain points I defined a synthetic persona with an LLM and Figma Make.
A tool eliminating user frustrations & pains
How Might We provide a solution with essential features for resource constrained companies in reporting impact?
Initial overwhelm.
The compliance crisis. Lina is faced with stacks of technical documents outlining CSRD rules. The sheer volume and ambiguity of the requirements makes her paralysed.
Evaluating options.
Lina tries to manually map existing data to requirements, leading her to the realisation of the immense time and cost involved and fear of misinterpretation.
Easy integration & quick win.
Lina finds that a CSRD Simplified subscription means a fast setup, easy onboarding and a reasonable price tag.
Self-service certainty.
The AI-agents resolve Lina's issues instantly in facing complex requirements and reporting standards.
Efficiency & advocacy.
Proactive roadmap updates when CSRD changes, turns Lina into a confident manager with a future-proof plan.
An agentic ecosystem evolves
Having built 47 wireframes of questions to map merely the basics of a double materiality and gap analysis, I realised this surely is a user abandonment situation. It will take too long to fill out the online form.
I came up with the idea of a dynamic, progressive questionnaire managed by an AI-agent asking only relevant and necessary questions based on company onboarding - a 15-20 minute commit.
From this revelation I developed the entire enterprise grade agentic ecosystem in Lovable.
Launching a waitlist website
The difficulty of landing interviews with very busy target managers, made me change strategy. I launched a waitlist site for my non-existing product and immersed myself in vibe-coding to build the beta.
Main objectives:
find targets to interview
get survey feedback
create some industry buzz
gain product traction
CSRD Simplified - beta
An AI-powered self-service SaaS-tool with features alleviating distress and pressure on Compliance and Sustainability Managers.
Tracks the ESRS requirements that apply for the company, based on industry, operations, type of impact and size.
Explains the requirement standards in plain, simple language.
Provides premium functions of insights and an actionable real-time updated roadmap when legislation changes - if a change applies to the company at all.
"Deep Space" Design System
Orchestrated, WCAG optimised and vibe-coded by me in Lovable.
Trade offs and product thinking
Rather than building a full scale data management service, I focused on removing the first barriers: not knowing what to report and how to fix impact with a lack of resources.
My initial idea was to implement an aggregator for the thousands of consultants and data management service platforms out there, with a top-3 recommendation matched with company specific operations and impact. But it didn't solve the initial problems of confusion, the lack of a clear future proof action plan nor allocating the finances for consultancy. The solution needed to be an alternative to costly services.
The Omnibus addition to the CSRD had me re-think strategy, target group for one. However, SMEs still benefit from reporting in line with the full ESRS scope to standout in the market and thereby disclose a higher level of transparency to attract investors and customers.
Future development could entail automated data collection from various departments of a company and training AI on other regulations and frameworks for scalability. But for now, my focus lies with the MVP.
Learnings
Purpose AI with what it does best - analyse massive amounts of data and complex text
Simplicity and clarity beats comprehensiveness in early-stage tools
It's never too late to pivot strategy.
Being a solo designer and developer, wearing all the hats, means fast paced exponential learning.
My Contribution
All of it. I'm a one woman band in this ongoing end-to-end project.