From Project Win to AI-Assisted Product Engineering: How We are Building a Compliance Management System
Published on June 25, 2025
Introduction:
In our last blog (From Unknown Territory to Project Win), we walked you through our journey of exploring the problem space, submitting a distinctive proposal, and ultimately earning the client’s confidence—paving the way for a meaningful strategic partnership built on trust, innovation, and domain expertise.
Now, as we move from the thrill of winning the project to the heart of actual execution, this blog takes you behind the scenes of how that initial vision began taking tangible form. We’ll share how we transformed early requirements into a structured, information flow-first system — through thoughtful rediscovery sessions, a complete Figma-led UX redesign, and the conversion of requirement notes into a detailed BRD (Business Requirements Document) and user stories using home-grown AI Bots. All of this came together under a carefully structured Agile plan that ensured consistent delivery and collaboration.
What we learned early on is something every product team eventually faces—winning a project is only the starting line. The true work begins in translating that vision into a practical, scalable solution while staying in sync with stakeholders, managing complex workflows, and ensuring meaningful value delivery in every sprint.
The start to now: From Discovery to Agile Development
Discovery: Rebuilding the Foundation
Securing the project was a significant milestone, but our top priority post-win was clear: to revalidate and enrich the existing requirements through a focused Discovery phase. The client had shared a Business Requirements Document (BRD) and preliminary Figma designs from their previous collaboration. With our initial review, we found opportunities to strengthen the project scope where an additional clarity and refinement would set the project up for greater success. We approached the Discovery phase not as a formality, but as a critical opportunity to rebuild the foundation. One of our early recommendations was to initiate a full Figma redesign, guided by an information flow-first mindset.
At the heart of this process were in-depth discussions with the startup’s subject matter expert. These conversations helped us unpack the real-world challenges, expectations, underlying complexities, and nuances behind the product idea. We prioritized an information-first approach: How does information flow across users, systems, and business units? What should the user journey feel like? This allowed us to move beyond surface-level requirements and understand the ecosystem the product needed to support.
To bridge the gap between the product’s vision, investor expectations, and market needs, we conducted collaborative workshops that brought product owners and our engineering leads to the same table. These sessions not only sharpened the roadmap but also uncovered opportunities for differentiation through intelligent, information flow/user-driven features.
One of the most complex, yet rewarding challenges was structuring a taxonomy for over 800 forms. Our goal was to make form discovery effortless — ensuring that the right user could find the right form at the right time. Beyond ease of access, we focused on creating smart workflows that reduced manual effort, minimized turnaround times, and embedded compliance through semi-automated audit trails.
Equally critical was our deep dive into information governance. We mapped out strategies to support a multi-client, multi-tenant architecture with the flexibility to scale across multiple regions. Every compliance detail, from cross-functional approval flows to local regulatory variations, was thoroughly examined. Integration touch points, audit trail mechanisms, and regional security standards were factored into the architecture from the ground up. Scalability wasn’t treated as an afterthought; it was woven into every decision we made.
Based on everything we uncovered; we didn’t just revise the BRD, we reimagined it. The new version moved away from being a static functional spec and evolved into a strategic blueprint that captured business value, process intelligence, and long-term scalability. We restructured the document to centre around information-first functional flows and interconnected user stories, ensuring each requirement clearly traced back to a business goal. This structure enabled a much more effective development plan, allowing our Agile teams to prioritize features based on value and priorities.
Security considerations, performance specifications, integration requirements, and scalability were explicitly outlined. Traceability was built into the document, ensuring that both business and technical teams had a shared language for what success looked like—across each sprint and across the entire product lifecycle roadmap.
Figma Redesign: User Experience Innovation
With the foundational work from Discovery complete, our focus turned towards rethinking the user experience—starting with the Figma redesign. We approached this not just as a visual exercise, but as a deep functional exploration of how users engage with a complex Compliance Management System. We began by mapping out detailed information flow vs user journeys and functional flows. By breaking down the system into its individual processes and sub-processes, we were able to understand the specific tasks, challenges, and decision points that the users would encounter. This allowed us to design interfaces that didn’t just look good, but actively enhanced productivity.
Our redesign introduced a fresh UI approach tailored to enterprise standards, while still rooted in the practical needs of compliance management. We focused on reducing cognitive overload, simplifying data entry, and embedding contextual cues that guide users intuitively through complex workflows. To bring this to life, we applied modern design principles like progressive disclosure—simplifying the user experience by showing relevant information at the right time and pre-configuring common settings. The result: a cleaner, smarter, and more responsive interface that meets the demands of compliance operations without overwhelming the user.
This redesign was a truly collaborative effort. We maintained a close feedback loop with the startup team, the SME, and VC stakeholders. Regular design review sessions became a cornerstone of our process, helping us incorporate valuable feedback early and often. This continuous collaboration helped us ensure that the evolving designs stayed aligned with user expectations and real-world usability.
The AI-assisted Discovery Conversion
BRD Generation Through Conversational AI
We used our proprietary conversational AI bot to streamline the conversion of requirements into a comprehensive Business Requirements Document (BRD). This AI-first approach went beyond process efficiency—it redefined how we approached software development from the ground up.
By positioning AI as a core participant rather than just a supporting tool, we unlocked a more adaptive and high-quality development process—one that could respond quickly to evolving requirements. Traditionally, the discovery phase involves stakeholder interviews, document reviews, and manual synthesis of insights into a BRD. Our AI bot transformed this into a conversational and intelligent experience, accelerating the process while improving accuracy.
BRD to User Stories Definition using AI
Translating a BRD into meaningful, developer-ready user stories is a task that usually demands nuanced human interpretation. However, this process can sometimes lead to inconsistencies—missing edge cases, incomplete acceptance criteria, or variations in format that slow down development planning. To solve this, we used our in-house AI Bot to automatically convert approved BRD content into structured user stories. Each story came complete with a clearly defined Definition of Done, helping our Agile teams maintain consistent standards across every sprint.
Development Excellence: AI-Assisted Intelligent Code Review and Analysis
As we moved into development, maintaining code quality was paramount. Traditional peer reviews, while essential, can be uneven in quality, time-intensive, and sometimes overlook subtle but high-impact issues. Our AI-assisted code review system added a critical layer of consistency and depth to this process. With the ability to analyze every code commit across multiple dimensions like quality, security, performance, and maintainability, our AI reviewer ensured that every line of code met enterprise-grade standards.
Testing Revolution: Automated Test Case Generation
Traditional testing approaches often struggle to keep up with the complexity of modern applications. They tend to miss critical edge cases while demanding significant manual effort for repetitive test scenarios. To streamline this, we’ve adopted BrowserStack’s AI-powered test case generation. By using inputs from our BRD and user stories, the tool automatically generates relevant test cases.
Sprint-Based Development with Structured Reviews
We initiated and implemented a disciplined sprint-based development model, carefully tailored to meet the demands of enterprise-grade software delivery. Each sprint runs on a two-and-a-half-week cycle and is structured to deliver demonstrable, working functionalities by the end of the cycle.
Every sprint kicks off with a detailed planning session involving our development team, the startup’s product owners, and key stakeholders. Features are prioritized based on a combination of business value, priorities, technical dependencies, and critical roadmap milestones—ensuring that each sprint moves the product meaningfully forward.
Execution is anchored in proven Agile practices—daily standups, continuous integration, and thorough testing are integral to every cycle. We use project management tools to track progress in real time, offering full visibility into sprint status, blocker resolution, and quality benchmarks. This level of transparency has been key in maintaining stakeholder alignment and sustaining VC confidence throughout development.
Regular Sprint Reviews and Stakeholder Engagement
At the end of each two-and-a-half-week sprint, we conduct structured sprint review sessions. These reviews feature live demonstrations of newly developed features, discussions on technical decisions and trade-offs, a review of automated test results, and an overall assessment of progress.
The startup team remains closely involved in these sessions—actively providing product feedback, validating business logic, and suggesting refinements where needed. This ongoing collaboration ensures development stays aligned with the product vision, while continuously integrating stakeholder input throughout the development cycle.
Milestone-Based Strategic Reviews
In addition to our regular sprint reviews, we hold structured milestone-based reviews that align with key points on the startup’s product roadmap. These reviews take place monthly and are designed to provide a broader, more strategic view of product evolution against the planned roadmap and architectural direction.
Each milestone review brings together venture capital partners, startup leadership, and our senior technical team. We showcase progress across multiple sprints, highlight how different modules are coming together into an integrated system, and evaluate how the project is tracking against long-term roadmap goals.
Conclusion:
The journey from securing the project to executing development successfully required more than just technical capabilities—it called for fresh thinking around how we gather requirements, approach design, and engage stakeholders. By leveraging AI for BRD and user story generation, applying an information flow-first design mindset, and following a structured Agile delivery model, we created a development experience that not only met but exceeded stakeholder expectations—resulting in a robust and scalable solution.
The use of AI Bots in generating BRDs and user stories wasn’t simply a productivity choice—it marked a shift in mindset. We see artificial intelligence not just as a support function, but as a strategic partner in building scalable, intelligent, and future-ready software.
While we’re still in the early stages of developing the Compliance Management System, initial feedback has been encouraging. What started as a tool to manage compliance is already being seen as a strategic platform—one that has the potential to reshape how organizations approach and execute compliance at scale.
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