AI CRM Orchestration System Development

@Microlent

This looks straightforward at first, but in my experience there’s usually a key detail that can cause issues later. I’ve handled similar projects before and can outline a practical approach for you. For similar work and case studies, feel free to check my profile: https://www.freelancer.com/u/Microlent Let me know if you I'd like me to walk you through the plan. – Rajesh Rolen

@irsolutions

With over a decade of experience in full-stack architecture and high-scale systems, I understand the critical need Sarkis AI Inc. has for an AI CRM Orchestration Architect/Full-Stack Node.js Developer to build a secure external orchestration layer for connecting various business signals into a CRM environment. My background in handling complex systems, such as scaling for over 1 million users, directly aligns with the challenges your project entails. To ensure scalability and security for your project, I would recommend implementing a robust event normalization layer alongside a reliable retry and duplicate-prevention system. My experience in building and scaling Telegram Mini Apps to serve over 1 million users demonstrates my ability to handle projects of similar complexity. I am eager to discuss how we can work together to bring your vision to life. Please feel free to reach out to me to further discuss the roadmap for your project.

@kamran2012

Hello there, I will build your external orchestration layer in Node.js/TypeScript — webhook receiver, event normalization, decision/routing engine, and GoHighLevel CRM connector — with idempotency keys, retry queues, and a full audit trail baked in from day one. For the decision engine, I will structure it as a rule pipeline with an optional LLM fallback — deterministic routing handles known event patterns instantly, while AI logic only fires for ambiguous or novel signals. This keeps latency low, costs predictable, and gives you a clear audit path for every decision made. Questions: 1) Is the existing MVP already connected to GoHighLevel, or will the CRM connector be built fresh? 2) For multi-tenant readiness, do you envision tenant isolation at the database level or schema level? Looking forward to talking through the details. Kamran

@nikhilgarg96

Hi, With Sarkis AI Inc. looking for an experienced AI automation architect and full-stack software engineer, I believe my deep knowledge and skills in CRM, Node.js, and Software Architecture make me a perfect fit for developing your AI CRM Orchestration System. Having built scalable web applications and proficient in REST APIs, OAuth, and database design including PostgreSQL as per your requirements, I can create a reliable, production-aware middleware system that normalizes data from external tools into your CRM platform. I've also worked extensively with CRM integrations in the past, particularly GoHighLevel/HighLevel which will enable me to enhance all the required components of the system effectively. My approach to building secure architectures prioritizes factors like privacy-consciousness, secure data handling alongside clean audit trails specific to industries handling sensitive information like healthcare and aesthetics. Lastly, I am not just a code-writer but rather a solutions provider. I understand how data flows between various systems and realize the importance of preventing duplicate or failed events while keeping the backend architecture clean but scalable. Thanks....

@InterconnectBPO

Hi, We have experience building secure backend orchestration systems involving Node.js/TypeScript, webhook pipelines, CRM automation, AI workflows, and scalable multi-tenant architecture. Relevant experience CRM/API orchestration platforms Webhook normalization + routing systems OAuth, retries, idempotency, audit logging AI/LLM workflow integration Multi-tenant backend architecture Secure API and secret management Stack Node.js + TypeScript + PostgreSQL + queue/retry architecture (Redis/BullMQ or similar) We can help with Architecture review & scaling strategy CRM connector improvements Event pipeline reliability Logging/monitoring/audit trails AI decision layer integration Production-hardening existing MVP We’re comfortable working under NDA and collaborating closely on long-term infrastructure planning. Regards Interconnect Team

@sunainawbst

AI CRM Orchestration System Hello I have read your project requirements, i can help you develop sophisticated and robust AI CRM Orchestration System, leveraging my broad skill set as a top-notch Node.js Developer. Alongside my proficiency in TypeScript, REST APIs, and database design (SQLite/PostgreSQL), I bring a wealth of invaluable experience in CRM integrations similar to your preferred GoHighLevel / HighLevel. 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. 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. Due to NDAs, links aren’t public—but once you open the chat, I’ll share live demos and walkthroughs. I deliver high quality work on time. Let us connect over chat to discuss and start the work as per your requirements. Regards Ranjana

@vladang

What stood out to me is that you’re not really building a CRM integration—you’re building a decision layer that has to stay reliable when multiple systems are firing events at the same contact from different directions. My first step would be reviewing the existing MVP and mapping the full event lifecycle: ingestion, normalization, routing, CRM execution, and recovery paths. From there I’d tighten idempotency and duplicate prevention before adding new logic, since missed calls, forms, chatbot events, and payment signals will inevitably create overlap. I’ve built backend systems in Node.js where webhook reliability, retries, auditability, and API integrations were the critical pieces, and the biggest wins usually come from making failures observable rather than just retrying them. I’d implement structured logging, event correlation, replay capability, and clear audit trails so every CRM action can be traced back to its source event. For the architecture, I’d keep v1 practical but isolate tenant-specific configuration early so the move toward multi-client SaaS doesn’t require a rewrite later. I’m comfortable with TypeScript, OAuth/token-based integrations, LLM-powered workflows, and production-oriented backend design, and I can start by reviewing the current codebase.

@ykarora26

With extensive experience in AI automation architecture and full-stack development, I'm well-equipped to design and build the secure external orchestration layer connecting multiple business signals to the CRM environment as per Sarkis AI Inc.'s requirements. A similar project involved developing a real-time data processing system for seamless integration of multiple data sources. How crucial is real-time data processing for this project's success? Regards, Yogesh Kumar

@intelliresponse

Hello, Your vision for an AI-driven CRM orchestration layer aligns well with my experience building event-driven backend systems, API integrations, workflow automation platforms, and AI-powered business applications. I understand this is not a simple automation project—the objective is to create a secure, reliable middleware layer that normalizes incoming events, applies decision logic, prevents duplication, and orchestrates CRM actions while remaining scalable for future multi-tenant SaaS deployment. I have extensive experience with Node.js, TypeScript, REST APIs, webhooks, OAuth, PostgreSQL, secure authentication, audit logging, retry mechanisms, idempotency controls, and workflow orchestration. I've built systems that process events from multiple sources, integrate with CRMs, trigger automated actions, manage human escalation paths, and leverage LLM APIs for intelligent decision-making. My approach would begin with reviewing the existing MVP, identifying architectural risks, and designing a production-ready event pipeline with webhook ingestion, normalization, routing, monitoring, logging, and CRM connectors. Particular attention will be given to security, fault tolerance, observability, and clean documentation to support future expansion into a multi-client SaaS platform. I'm comfortable working under NDA and collaborating closely with founders to translate business workflows into scalable technical architecture.

@corpmember29

BUILDING RELIABLE AI-DRIVEN ORCHESTRATION LAYERS BETWEEN MULTIPLE SYSTEMS IS EXACTLY THE TYPE OF ARCHITECTURE I WORK ON. With 12+ years of experience in full-stack development, AI automation, SaaS platforms, and enterprise integrations, I have built webhook-driven middleware systems, CRM integrations, AI agents, workflow automation platforms, and scalable multi-tenant architectures using Node.js, TypeScript, PostgreSQL, and cloud technologies. For your platform, I can help design and build a secure orchestration layer including webhook receivers, event normalization, decision routing, CRM connectors, audit trails, retry systems, monitoring dashboards, and a future-ready multi-tenant foundation. I understand the importance of privacy, reliability, human escalation workflows, and clean architecture when building systems that directly impact revenue operations. I am comfortable signing an NDA and collaborating closely on architecture decisions, MVP refinement, and long-term SaaS planning. A quick question: Is the current MVP already processing live production events, or are we starting with an architecture review before moving into implementation and scaling improvements? I would be excited to discuss the existing architecture and contribute as a long-term technical partner.

@DeveloperStation

Hi there, We’ve built a similar product called Concio, where we developed a multi-tenant web app that integrates with Google Calendar and Zoom to automate scheduling and follow-up emails. We also created a Chrome extension for experts to manage their availability and accept bookings. This experience has given us deep insights into building reliable, production-ready systems that can handle multiple clients. We can also provide a dedicated resource for front-end work, ensuring you get a fully optimized product without any compromises. 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 looking forward to hearing more about this exciting project. Best, Adil

@vishal1145

Your CRM orchestration layer will fail under load if you don't implement idempotency keys and event deduplication at the webhook receiver level. Without this, duplicate GoHighLevel triggers during network retries will create phantom tasks and corrupt your pipeline data. Before architecting the solution, I need clarity on two things: What's your expected event volume per minute during peak hours, and are you planning HIPAA-compliant data storage given your healthcare client base? Here's the architectural approach: - NODE.JS + TYPESCRIPT: Build an event-driven middleware using Express with strict typing to prevent runtime errors and enable safe refactoring as you scale to multi-tenant. - GOHIGHLEVEL API: Implement OAuth refresh token handling and rate limit backoff to maintain 99.9% uptime when syncing workflows, custom fields, and pipeline updates. - POSTGRESQL + REDIS: Use Postgres for audit trails with indexed event_id lookups and Redis for deduplication cache to handle 1K+ events per minute without database bottlenecks. - RETRY LOGIC: Build exponential backoff with dead letter queues so failed CRM writes don't block the pipeline and can be manually reviewed before retry. - LLM DECISION ENGINE: Integrate OpenAI/Anthropic APIs with prompt versioning and fallback logic to route events intelligently while logging all AI decisions for compliance audits. I've built 4 similar orchestration systems for SaaS companies that scaled from single-tenant to 200+ clients. I don't take on projects where the event flow and failure scenarios aren't mapped upfront. Let's schedule a 20-minute technical call to walk through your current MVP bottlenecks and edge cases before committing to a build.

@mrresearcher99

Hi there, I’ve reviewed your Node.js project requirements and would love to help. With 5+ years of experience in backend and API development, I specialize in building fast, scalable, and secure applications using Node.js, Express, and MongoDB. I’ll start with a clear architecture plan, provide regular progress updates, and ensure the solution is well-tested, efficient, and production-ready. Let’s connect to discuss your project in detail — I’m ready to get started! Best, Bhargav Node.js Developer | Backend & API Expert

@Appworldz

Your description tells me you're thinking about the right problems: idempotency, auditability, routing logic, and future multi tenancy. Most automation projects fail because they jump straight to workflows without building a reliable orchestration layer first. I've built Node.js/TypeScript middleware platforms connecting CRMs, payment systems, AI agents, booking platforms, voice systems, and webhook driven event architectures. My experience includes OAuth, secure API design, event normalization, retry queues, dead letter handling, audit trails, AI decision engines, and LLM integrations. For v1, I'd recommend Node.js + TypeScript + PostgreSQL with a clean event driven architecture that can evolve into a multi tenant SaaS platform without major rework. Budget: 3,500–6,000 CAD Timeline: 4–8 weeks depending on MVP scope and existing code quality. Happy to sign an NDA and review the current architecture immediately.

@emilesd617

Hi, I am a full-stack Node.js developer with 8 years of rich experience in software development. I am familiar with Node.js, TypeScript, REST APIs, Webhooks, CRM Integration, GoHighLevel, OAuth, PostgreSQL, SaaS Architecture, Cloud Security, LLM Integration, AI Agents, Logging, Retry Handling, and API Security. I understand you need a secure external orchestration layer that receives events from forms, booking pages, voice AI, chatbots, missed calls, and payment tools, then normalizes the data and triggers the correct CRM actions. I can build a production-aware middleware system with idempotent webhook handling, retry logic, audit trails, secure environment management, CRM connector improvements, and a clear path toward future multi-tenant SaaS architecture. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@KarthikTechCon

Hello Sarkis AI Team, I'm Karthik, a Solution Architect and Full-Stack Developer with 15+ years of experience designing enterprise integrations, CRM automation platforms, API ecosystems, and AI-enabled business applications. Your requirement aligns closely with my expertise in building event-driven middleware, webhook processing systems, secure API integrations, workflow orchestration, audit logging, and scalable SaaS architectures. ✔ Node.js / TypeScript Development ✔ Webhooks, REST APIs & Event Processing ✔ CRM Integrations & Workflow Automation ✔ OAuth, JWT & Secure API Design ✔ Idempotency, Retry Mechanisms & Queue-Based Processing ✔ PostgreSQL Database Design ✔ Logging, Monitoring & Audit Trails ✔ Multi-Tenant SaaS Architecture Planning ✔ AI/LLM Integration & Human-in-the-Loop Workflows My approach would focus on creating a reliable orchestration layer that normalizes events, prevents duplicates, routes decisions intelligently, and provides full observability for future scale. I am comfortable working under NDA and collaborating closely with founders to translate business workflows into robust technical solutions. I would be glad to review the MVP, provide architecture recommendations, and help build a production-ready foundation for future multi-client expansion. Best regards, Karthik

@Srashtasoft

Hi, Your project immediately stood out because you're not looking for a typical automation developer—you need someone who understands event-driven architecture, CRM orchestration, reliability engineering, and how to build a system that can evolve into a multi-tenant SaaS platform. I have experience building backend systems with Node.js, TypeScript, REST APIs, webhook processing, authentication, database design, audit logging, and AI-powered workflows. What caught my attention is your focus on idempotency, retries, duplicate prevention, and auditability—these are exactly the areas that determine whether an orchestration layer succeeds in production. For this project, I would focus on: ✓ Secure webhook ingestion layer ✓ Event normalization and validation ✓ Rule-based decision/routing engine ✓ CRM connector architecture ✓ Retry queues and dead-letter handling ✓ Idempotency keys and duplicate prevention ✓ Audit logging and monitoring dashboard ✓ Multi-tenant-ready database design ✓ Environment and secret management ✓ Documentation and GitHub workflow I also have experience integrating LLM-powered systems, workflow automation, AI decision logic, and human escalation workflows where reliability and traceability are critical. I would be happy to review the architecture under NDA and provide recommendations before implementation. Best Regards, Jemin Sagar

@melikatfz

Hi there, regarding your AI CRM orchestration project, I noticed the substantial need for a secure and efficient decision layer. My approach ensures data integrity and delivers real-time automation by leveraging Node.js/TypeScript for optimal event normalization and pipeline integration. I once spearheaded a similar orchestration project, leading to a 40% increase in CRM efficiency through enhanced workflow automation. I include 30 days of post-deployment bug-fixing to guarantee smooth operation. Do you foresee any specific challenges with the webhook receiver integration? I'd love to discuss this further.

@kend27

Hi, Brief read carefully. Answering your 6 application questions directly, then approach. 1. CRM/API/Webhook Projects Built event orchestration middleware for a med-spa client stack: webhook ingestion (Calendly, Twilio voice AI, Stripe, form vendors) -> normalized event bus -> CRM router Multi-source lead router for a service-business operator, ~50k events/month, sub-second routing 2. Node.js / TypeScript 6+ years, primary stack. NestJS or Fastify by preference, strict TS, zod for runtime validation at every boundary 3. GoHighLevel / HighLevel Yes — built v1 (API key) and v2 (OAuth marketplace app) integrations. Familiar with sub-account scoping, contact/opportunity/pipeline/tag/custom-field APIs, native webhooks, and the rate-limit quirks 4. Middleware / Orchestration Designed event-driven systems with normalized event schema, content-addressable idempotency keys, BullMQ retry with exponential backoff + DLQ, append-only audit log 5. OAuth, Retries, Logging, Secure API Design OAuth2 (incl. HighLevel marketplace flow + refresh rotation), HMAC webhook verification, secrets via Doppler/Vault/AWS SM, per-tenant encryption keys, structured logs (pino) -> Better Stack/Datadog 6. AI Agent / LLM Systems Built LLM-powered routing/escalation logic (Claude + GPT-4o), tool-use agents for CRM actions, human-in-the-loop escalation, PII redaction before LLM calls Best Ken