AI Copilot SaaS MVP Build

@augurstech

A Warm Hello! We are readily available to start working on this project! I have read your job posting and confident to provide you multi-tenant AI-powered platform with subscription logic, secure integrations, and a daily insight engine requires clean architecture from day one — especially if it’s meant to scale beyond MVP. We can dedicate a senior full-stack engineer (with AI/LLM support from our in-house specialist) to take this from specification to production within your 3–4 month window. Understanding the Core Objective The heart of this product is: A daily AI-generated business briefing that transforms raw financial data into clear, actionable insights for small-business owners. Everything else — authentication, ingestion, billing — must support that reliably and securely. We will design the system so the AI layer is modular, traceable, and evolvable (so you can expand into forecasting, benchmarking, email drafting, etc. later). We are ready to start immediately and commit senior-level attention through the full 3–4 month cycle. Looking forward to building your AI Business Copilot into a production-grade SaaS. Best regards, Ana

@Microlent

Hello, I can take your lean SaaS MVP from specification to production with a clean, scalable multi-tenant architecture and a robust AI briefing engine at its core. Here’s how I’d approach it: Architecture & Stack • Backend: Node.js (TypeScript) or Python/FastAPI with PostgreSQL • Redis for caching, job queues, and scheduled daily briefings • Strict tenant isolation via scoped queries + middleware enforcement • JWT + secure session handling with Google OAuth • Stripe subscriptions with webhook-driven access control • CI/CD pipeline with environment-based secrets and staged deployments AI “Business Copilot” Engine • Financial ingestion layer for CSV parsing and lightweight API connectors • Normalized expense schema for LLM-ready summaries • Prompt templates structured around cost trends, anomalies, and savings signals • Scheduled daily job generating briefings per tenant • Caching + audit logging of generated briefings Gmail Integration • OAuth 2.0 connection stored securely • Token refresh management • Modular integration layer ready for future AI email replies I’ve built LLM-powered dashboards and SaaS platforms with OAuth, billing, and structured AI pipelines designed for production scale. Let’s discuss expected tenant volume and briefing frequency to size infrastructure correctly. Best regards, Jenifer

@AwaisChaudhry

Hi there, I understand you want a lean, production-grade multi-tenant SaaS MVP that delivers a daily AI business briefing fed by financial data, with secure sign-in, Gmail hooks, and a scalable stack that can grow post-MVP. I’ll build a clean, test-covered architecture using a stack like Node/TypeScript or Python/FastAPI with PostgreSQL and Redis, plus a robust CI/CD pipeline and RBAC. The MVP will: multi-tenant onboarding with email/password and Google sign-in, Gmail OAuth hook, CSV or lightweight API data ingestion, an OpenAI-based briefing that highlights expense patterns and cost-savings, Stripe self-serve billing, and isolated tenant data. Deliverables include production-ready code in a cloud account, meaningful git commits and a README, and a quick architecture handover. I’ll structure the work in clear milestones with automated tests and security reviews. What’s the priority for data import formats first (CSV vs API) and how strict is the data schema for expenses? How many tenants do we plan to support at MVP launch? Do you have preferred OpenAI model, token limits, and privacy constraints? Are there audit/monitoring requirements for LLM prompts? What is the target uptime and disaster recovery plan? Will you require SSO for enterprise customers later? How do you want billing to handle proration? Any must-have analytics beyond the daily briefing? Do you prefer a single monorepo or service split? Best regards, Muhammad Awais

@OutsourceMan

⭐⭐⭐⭐⭐ Hello Valuable Client, CnELIndia, led by Raman Ladhani, is well-positioned to deliver your AI-powered SaaS MVP from spec to production within your 3–4 month timeline. We will design a multi-tenant architecture with secure email/password and Google OAuth sign-in, ensuring complete tenant data isolation. Our team will implement CSV and lightweight API ingestion for financial data, powering daily AI business briefings via an LLM like OpenAI. Stripe integration will handle self-serve subscriptions with automated access control. We follow test-driven development with clean, scalable code in Node/TypeScript or Python/FastAPI, using PostgreSQL and Redis. CI/CD pipelines, environment-based secrets, and cloud deployment will ensure production readiness. Raman will provide architecture documentation, source code handover, and knowledge transfer sessions to guarantee your team can extend and maintain the platform. This approach ensures your core objective—actionable daily business insights—is delivered reliably and securely.

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in PHP, Python, Website Design, Graphic Design, HTML, Node.js, Full Stack Development, SaaS and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@webperfection123

Hi, I have extensive experience in building SaaS applications, and I can help you develop a secure multi-tenant web app that meets your core objectives. For your project, I recommend leveraging Node.js with PostgreSQL and integrating Stripe for subscription management. This stack will allow you to create a clean, test-covered architecture while efficiently managing user data and AI-generated insights. I have a proven track record of shipping SaaS products, and I’m confident in delivering the end-to-end application as required, complete with source code and documentation. Let’s connect to discuss your vision further! Best Regards, Priyanka

@kamran2012

Hey, I will build the AI Copilot SaaS MVP with multi-tenant user management (email/password + Google OAuth), financial data ingestion, the daily AI-generated briefing engine, Gmail OAuth hooks for future modules, Stripe subscription management, and CI/CD deployment, on Node/TypeScript with PostgreSQL, Redis, and the OpenAI API. For tenant isolation, I will enforce row-level security directly in PostgreSQL rather than relying on application-layer filtering alone. RLS policies on every table guarantee that one tenant's financial data cannot leak to another even if a query bug slips through, critical when processing expense records through an LLM. Questions: 1) Should briefings be pre-computed overnight and cached, or generated on-demand when the user opens the dashboard? 2) For financial ingestion, is CSV sufficient for the MVP, or do you have a specific accounting API (Plaid, Xero) in mind? 3) Do you have a cloud provider preference (AWS, GCP, or other) for deployment? Looking forward to potentially working together. Thanks, Kamran

@sunainawbst

✅AI Copilot SaaS MVP Build Full-Stack | Lovable AI Expert | AI Development | AI Chatbot | Game Development ✅ Hi, Thank you for considering this opportunity! I bring extensive experience in full stack development and implementing custom solutions powered by LLMs, conversational AI, and intelligent automation. Recently I have been working on Lovable AI for developing a gaming platform using it, complete with chat-based agent logic, expressive front-ends, and backend integrations. In other project, implemented a fully automated AI agent system for intelligent meeting creation using ElevenLabs Conversational AI and Gemini (via a custom agent brain). The flow integrates voice interaction, natural language processing, location precision, and frontend. Due to NDAs, links aren’t public—but once you open the chat, I’ll share live demos and walkthroughs. Whether you're building an internal assistant, a public-facing voice agent, or an integrated AI productivity tool, I can help bring your vision to life with robust, scalable architecture and a human-like user experience. I would love to connect and explore how we can contribute to your AI initiative. PS - Please pan the budget for now and discuss over chat. Regards,Srishti

@divumanocha

Hi, As someone who has been a top-rated expert on Freelancer.com for more than 12 years, I have the breadth and depth of skills you're looking for to develop your AI Copilot SaaS MVP. With proficiency in Node.js, Python, and Ruby on Rails, among others, I can align with your tech preferences and create a clean, test-covered architecture that will scale beyond the initial MVP phase. My track record includes successful deliveries of multi-tenant user management systems with secure authentication using leading solutions like Google OAuth. Additionally, I have the expertise in financial data ingestion and insights generation via databases like PostgreSQL and lightweight APIs. This skillset ideally matches your requirement for analyzing and briefing financial data with actionable suggestions. One area where I believe my experience stands out is in creating an environment that values data security and integrity. As proved by my past work with Stripe and creating secure cloud deployments with CI/CD, secrets management, and role-based access controls. Thanks....

@extreamcode

Hi, Bringing an AI Business Copilot from concept to a scalable SaaS MVP requires more than just coding; it demands an understanding of business nuances and secure multi-tenant architecture. With extensive experience building full-stack SaaS products using Node/TypeScript and Python/FastAPI paired with PostgreSQL and Redis, I’m confident in delivering your solution. I’ll architect a clean, test-covered codebase supporting your core features: daily AI-generated financial insights, secure OAuth logins, Gmail integration hooks, Stripe subscriptions, and cloud deployment with robust CI/CD and role-based controls. I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. A typical timeline for a complete MVP with comprehensive testing and documentation would be 3 to 4 months. Could you specify which LLM provider you prefer or if you need recommendations tailored to your budget and scale? Thanks, Asad

@Julian29

Hola, he revisado cuidadosamente sus requisitos y puedo ofrecerle un MVP SaaS multiusuario con gestión segura de usuarios, enlaces OAuth para Gmail, ingesta de datos financieros, informes comerciales diarios generados por IA e integración de suscripciones con Stripe. >>> Multilingüe (inglés y español) <<<< **** Puede seguir el progreso del proyecto mediante el rastreador. Dispongo de 40 horas semanales **** Cuento con más de 10 años de experiencia en desarrollo full-stack y he lanzado con éxito aplicaciones SaaS escalables con integraciones complejas. Le proporcionaré 2 años de soporte continuo gratuito y código fuente completo, trabajaré con metodología ágil y le ayudaré desde cero hasta la implementación en la nube y la producción. La arquitectura será limpia, con pruebas cubiertas y escalable, utilizando su stack preferido (Node/TypeScript, Python/FastAPI o Rails) con integración con PostgreSQL, Redis y LLM a través de OpenAI. Me encargaré del aislamiento de los usuarios, la implementación de CI/CD y la documentación adecuada, con orientación para la configuración y la entrega. Me comprometo a entregar un MVP sólido que cumpla con todos los criterios de aceptación y facilite la expansión de futuras funciones. Espero con interés su respuesta. Gracias.

@einnovention

With a project as intriguing as building an AI Copilot SaaS MVP, I believe my firm Einnovention is perfectly primed to bring your vision to life. With 248 successfully completed projects and a consistent 4.9/5 rating on Freelancer, our team of 25+ experienced developers, including myself, has consistently delivered high-quality, scalable, and innovative solutions that have secured trusting long-term partnerships with clients worldwide. As for the technicalities, we're well-versed in all the areas you've specified – multi-tenant user management, Gmail connection via OAuth 2.0, financial data ingestion and analysis, Stripe integration for subscription management – you name it. We pride ourselves in clean architecture and thorough testing that scales beyond the MVP phase, ensuring your product is built solidly for the long haul. Moreover, while we have hands-on experience with several stacks like Node/TypeScript and Python/FastAPI (our oeuvre includes Flask & Django), we believe in adopting tools relevant to the project's intrinsic needs for optimal productivity and are adaptable enough to work alongside PostgreSQL, Redis and LLM providers like OpenAI. In short - we can create something great together with complete transparency, clear milestones and impeccable delivery. Let's get started!

@corpmember29

{{{ I HAVE CREATED SIMILAR APPS BEFORE AND I CAN SHOW YOU }}}. I have 10+ years of experience in full-stack development and can deliver a multi-tenant SaaS MVP that provides small-business owners with an AI “Business Copilot.” The app will include secure email/password and Google OAuth login, Gmail OAuth hooks, CSV/API financial data ingestion, AI-generated daily briefings highlighting expense patterns, and Stripe-based subscription management. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PUBLISHING ON STORES. Deliverables include production-ready cloud deployment with CI/CD, role-based access control, PostgreSQL/Redis integration, test-covered source code in Git, setup documentation, and a short architecture handover. Acceptance criteria ensure each tenant’s data is fully isolated, financial uploads generate accurate AI briefings, and Stripe locks/unlocks premium features correctly. I eagerly await your positive response.

@designysoft

Hello, Hope you are doing well. I have 12+ years of full-stack experience building scalable SaaS and AI-driven web apps. I can deliver your multi-tenant “Business Copilot” MVP end-to-end secure auth (email + Google), financial data ingestion, LLM daily briefings, and Stripe subscriptions—on a clean, scalable cloud stack within 3–4 months. I’ll isolation, CI/CD deployment, and readiness for future modules like Gmail integration. Full source, tests, and documentation included. Best Regards,

@Fazeennazar

Hi, I’m very interested in building your AI Copilot SaaS MVP and have experience delivering full-stack multi-tenant applications with LLM integrations. I would structure the app with a clean, test-covered architecture using Node/TypeScript or Python/FastAPI paired with PostgreSQL and Redis for scalable data and session management. Multi-tenant user management will support secure email/password login and Google OAuth, with strict data isolation between accounts. Gmail OAuth integration hooks will be implemented from day one, enabling future AI-driven email suggestions while keeping the first release focused on financial briefings. Financial data ingestion via CSV upload or lightweight APIs will feed the LLM to generate daily, actionable expense insights per tenant. Stripe integration will allow self-serve subscription management with plan enforcement, ensuring premium features are locked if payment lapses. I’ll deliver production-ready deployment with CI/CD, environment-based secrets, and role-based access control, along with Git source code, tests, README, and a short architecture handover document. I’m confident I can deliver the MVP over three-to-four months, meeting all acceptance criteria and providing a scalable foundation for future modules. Thanks.

@badarmadni927

Could you please share any existing design mockups or specifications for your multi-tenant web app? Understanding the vision behind your “Business Copilot” will help streamline the development process. With over 6 years of experience in full-stack development, I specialize in creating robust SaaS applications. I have a solid track record of implementing multi-tenant architectures and integrating services like Gmail OAuth, Stripe, and various data processing methods. My expertise with Node/TypeScript and PostgreSQL will ensure a scalable solution. I will provide a reliable CI/CD pipeline, ensuring seamless deployment and a clean architecture that supports future growth. Additionally, I prioritize writing test-covered code to guarantee quality and reliability. I look forward to discussing your project further and exploring how I can contribute to your vision. Best Regards, Badar madni

@DeveloperStation

Hi, We’ve built several LLM-powered products, including a financial assistant that analyzes user-uploaded CSV files and generates actionable insights. We also developed a multi-tenant product that uses AI to summarize meeting notes and send personalized emails, which aligns closely with your requirement for a daily briefing. For your project, we can leverage our expertise in financial domain knowledge and combine it with AI to deliver a truly valuable product. We’ve also integrated Stripe for multiple payment models, including subscriptions, one-time payments, and pay-as-you-go. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit for your needs. I’m eager to learn more about your exciting project. Best regards, Adil

@JijoThomas2020

Hi! I’m a senior full-stack AI software developer and can take your multi-tenant Business Copilot SaaS from spec to production. I’ve built financial invoice/expense systems where OCR + LLM services extract and normalize data and generate actionable insights directly aligned with your daily AI briefing goal. I can deliver: - Multi-tenant auth(email/password + Google OAuth) with strict tenant isolation - Gmail OAuth hook(ready for future reply suggestions) - CSV/API ingestion, normalized expenses, daily AI briefings(scheduled jobs + explainable insights) - Stripe subscriptions(Checkout + webhooks + premium gating on payment status) - Production setup: tests, RBAC, CI/CD, secrets, cloud deploy Preferred stack (MVP-fast): FastAPI + Postgres + Redis/worker + React + OpenAI(LLM layer abstracted). Thank you, Jijo

@sagarjain4010

Hello I’m a senior full-stack developer and have built multi-tenant SaaS apps with Stripe billing, Google OAuth, background jobs, and LLM-powered features. I’d structure this using Node/TypeScript or Python (FastAPI), PostgreSQL for strict tenant isolation, Redis for scheduled briefing jobs, and OpenAI for generating insights. Clean architecture from day one so we don’t need to rewrite after MVP. ✔For the MVP, we would: - Build secure multi-tenant auth (email/password + Google OAuth) - Add Gmail OAuth connection with future module expansion in mind - Implement financial ingestion (CSV first, API-ready structure) - Design a reliable AI briefing pipeline with structured prompts - Integrate Stripe with proper subscription control + feature gating - Deploy to cloud with CI/CD, env-based secrets, and RBAC ✔I’d like to clarify a few things - How detailed should the AI briefings be — short executive summary or deeper breakdown with metrics? - Do you expect real-time processing, or is a scheduled daily job acceptable? - Are you targeting a specific region first (for tax formats, currency handling, compliance)? Happy to discuss and suggest the best solution. I deliver quality work and am available for a quick call to clarify everything. Thanks Sagar