When Proced.ai reached Encircle, the platform already had a working MVP, but critical bugs, incomplete features, and infrastructure limitations prevented it from being production ready. The challenge was to stabilize three interconnected products while continuously supporting active users.
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- Case Study
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- Proced.ai: Transforming an MVP into a Scalable SaaS Platform
Proced.ai: Transforming an MVP into a Scalable SaaS Platform
Technology
Next Js, Electron Js, React js
Role
Full Stack Developement
Domain
Productivity
Product Vision
Build a scalable AI powered workflow documentation platform that enables teams to effortlessly capture, organize, and share standard operating procedures across web, browser, and desktop experiences.
The Challenge
Stabilizing an Unfinished Multi Platform Product
Key Points
MVP was unstable across multiple products.
Core documentation workflows frequently failed.
Platform required simultaneous maintenance across web, extension, and desktop applications.
Infrastructure was not designed for secure production scaling.
Missing collaboration and workspace management capabilities.
Key Challenges Faced
Critical issues in document editor, exports, image uploads, subscriptions, and onboarding.
Chrome Extension suffered from CSS conflicts, unreliable recording, and broken URL capture.
Desktop application experienced recording, audio, and video generation failures.
Incomplete multilingual implementation caused inconsistent UI.
Folder hierarchy, workspace management, permissions, and document organization were unreliable.
Branding settings were not consistently retained.
Shared staging and production environments created deployment and security risks.
Required maintaining three interconnected applications without disrupting existing users.
Encircle Approach
Stabilizing and Scaling a Multi Product SaaS Ecosystem
Solution: End to End SaaS Platform Modernization
Encircle focused on stabilizing the entire SaaS ecosystem by rebuilding the platform’s architecture, strengthening infrastructure, improving product reliability, and delivering the missing collaboration features required for enterprise scale growth.
Centralized Platform Architecture
- Rebuilt the PostgreSQL architecture across 32 interconnected Prisma models.
- Separated production and staging environments for databases, AWS S3, and Stripe.
- Implemented secure server side feature access for Free, Solo, Team, and Enterprise plans.
- Improved overall maintainability with modular application architecture.
Streamlined Product Experience
- Stabilized TinyMCE document editor.
- Fixed PDF, DOCX, video export, image upload, and duplicate step functionality.
- Redesigned onboarding with workspace creation and invitation workflows.
- Built multi workspace support with nested folders, permissions, and role based access.
- Implemented branding customization including logos, templates, headers, footers, pagination, and signatures.
- Standardized multilingual support for a consistent user experience.
Technical Highlights
- Stabilized the Next.js web application.
- Improved the Manifest V3 Chrome Extension by resolving CSS injection, recording, and tab switching issues.
- Enhanced the Electron desktop application with reliable recording, narration, and session management.
- Added integrations for Slack, Jira, GitHub, Notion, Google Drive, and SharePoint.
- Maintained and enhanced three interconnected applications in parallel without interrupting active users.
The Results
From Unstable MVP to Enterprise Ready SaaS
Proced.ai successfully evolved from an unstable MVP into a secure, scalable, and production ready SaaS platform capable of supporting enterprise customers and future product expansion.
Efficiency Improvements
Resolved 100% of critical platform blocking issues across document management workflows.
Improved stability across web, Chrome Extension, and desktop applications.
Reduced deployment risks by isolating production and staging infrastructure.
Standardized multilingual experiences across the platform.
Increased maintainability through modular architecture and centralized infrastructure.
Business Outcomes
Successfully transformed the MVP into a production ready SaaS platform.
Achieved feature parity with leading workflow documentation platforms.
Increased platform reliability, improving customer confidence and product adoption.
Enabled secure enterprise collaboration with workspaces, permissions, and branding customization.
Established a scalable technical foundation for future AI capabilities and enterprise growth.