Built with FlutterFlow
DOER Business: AI Productivity Suite for Small Teams
InfiniteUp Agency
3 collaborators
DOER Business
Case Study: DOER Business – AI for SMEs, Built in FlutterFlow
Client: InfiniteUp Ltd.
Industry: SaaS / SME Automation
Platform: DOER Business
Status: Trial Phase (Pre-Revenue)
Tech: FlutterFlow, Firebase, OpenAI APIs
Project Overview
InfiniteUp built DOER Business—a platform that gives small businesses their own AI-powered business team. The goal was to democratize enterprise-level automation using no-code tools, making it accessible to entrepreneurs around the world.
DOER Business was built entirely in FlutterFlow, integrated with OpenAI Assistants API, and connected to Firebase for real-time backend management.
Scope of Work
Full-stack app development in FlutterFlow
Integration with OpenAI Assistants API for multi-agent AI functionality
Firebase setup for authentication, data handling, and task tracking
Strategic architecture and prompt engineering for AI flows
QA, iteration, and user feedback loops with 5,890+ trial users
Core Features
Multi-Agent AI Teams Instead of one assistant, DOER provides users with a team of AI agents (CEO, Sales, Legal, CRM, and COO), each with a clear business function.
Sales Strategy Flow Users input a business name. The system pulls contextual data via the Google Maps API, generates a custom sales pitch using OpenAI, and tracks follow-up tasks through Firestore.
Real-Time App Logic All logic, reminders, and task flows are managed via FlutterFlow's Action Trees and Firebase backend.
Why FlutterFlow?
FlutterFlow enabled rapid iteration, strong UI/UX development, and direct control over API logic. It offered key benefits like:
Code ownership with exportable Flutter code
Scalable architecture for real-world products
Clean integration with Firebase and REST APIs
Efficient collaboration between global team members
Team & Workflow
Led by Barrett Nash, the team included:
Backend/API lead for Firestore and OpenAI logic
UI/UX expert for FlutterFlow builds and user flows
QA and feedback management for real-world trials
The project was executed across multiple time zones with daily standups and ongoing iteration.
Results (as of June 2026)
5,890 active users across 117 countries
68.6% engagement rate, averaging 2m 52s per session
681,000 total events
Zero paid ad spend
Zero paying users to date
Pricing and onboarding flows in testing
The platform remains in its pre-revenue phase. Traction was achieved entirely through organic distribution.
Roadmap
Improve onboarding and trial-to-paid flow
Launch DOER Partner Network to support global distribution
Enable user-created AI assistants
Expand automation features for task routing and CRM updates
Learning & Impact
This case study was featured in a University of Calgary course on digital entrepreneurship. It showcases how no-code and AI can come together to build a full-featured SaaS platform from scratch.
Takeaways
No-code tools like FlutterFlow can deliver real, scalable products
AI agents perform better when designed as a team, not a monolith
Full lifecycle delivery—from architecture to testing—is critical to product success
Early-stage platforms benefit from clear iteration and transparent status updates
Interested in working with InfiniteUp?
Book a complimentary discovery call with InfiniteUp's Barrett Nash to share your product ideas.
DOER Business being developed inside FlutterFlow
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Posted May 6, 2025
Launched MVP for a generative AI platform that delivers automated briefings, task lists, and strategy insights. 5,890 active users across 117 countries, 68.6% engagement rate, zero paid ad spend. Pre-revenue, built entirely in FlutterFlow.
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Timeline
Jun 1, 2024 - Ongoing
