Multi-Agent AI Scheduling Automation

@kamran2012

Hi there, I will build your multi-agent scheduling system: intake parsing across phone, web, and text channels, agent orchestration for crew availability and travel time, and a conflict-flagging dashboard. CrewAI plus OpenAI with Google Calendar integration is the fastest path to a working proof of concept here. On a similar dispatch automation, routing jobs by travel radius alone freed up hours of manual calendar work daily. Questions: 1) How many crews or technicians should the POC support at launch? 2) Are incoming phone requests already transcribed, or do you need voice-to-text built in? Share your sample data and I will map the agent workflow this week. Ready to start whenever you are. Kamran

@a4logic

Hi, I can build a working proof of concept for your AI scheduling workflow, including lead intake, CRM integration, calendar checks, appointment booking, rescheduling, reminders, and a simple dispatch dashboard. For the CA$90 budget, I recommend limiting the first milestone to a focused POC: One intake channel: web form or text One CRM integration Google Calendar availability checking AI extraction of customer/job details Automatic slot suggestions and confirmation Basic reminder messages Simple dashboard or activity log Source code, setup guide, and walkthrough A full multi-agent system covering phone, SMS, web forms, route optimization, crew dispatch, conflict resolution, and production-grade monitoring would require a larger follow-up budget. Please confirm which CRM you use and whether you prefer web-form or SMS intake for the first version. Fixed price: CA$90 for the POC Timeline: 3–5 days Best regards, Yasir Shah

@Friends4it

Multi-agent scheduling for trade businesses is a well-mapped problem — the complexity is in the edge cases: overlapping crew skills, last-minute reschedules, and keeping the CRM in sync without double-writes. Here's how the workflow would run: Intake agent: handles inbound booking requests (form, SMS, or voice), extracts job type, preferred time window, and location. Passes structured data to the dispatcher. Dispatcher agent: checks crew availability from the CRM, matches the job to the right trade skills, and proposes the next open slot. Sends confirmation back to the customer and writes the appointment to the CRM. Reschedule/conflict agent: monitors calendar for conflicts or cancellations, auto-suggests alternatives, and notifies affected crews. CRM sync: bi-directional — appointment status updates in the CRM trigger crew notifications; crew check-ins update the appointment record. Questions before scoping: which CRM are you integrating with (GHL, HubSpot, Jobber, ServiceTitan)? And is the customer-facing channel SMS/web form/both?

@VirasatSolutions

Hi! I noticed you're building a multi-agent AI scheduling system for roofing, plumbing, and other field-service businesses. The real value isn't just booking appointments—it's having AI agents coordinate scheduling, dispatch, and customer communication automatically while keeping crews fully utilized. ++ What I'll build: → Multi-Agent AI Workflow using CrewAI/LangChain for intelligent task orchestration → Smart Request Routing from phone, web forms, SMS, and CRM into the right AI agent → AI Scheduling Engine that checks crew availability, travel time, and job duration to suggest the best appointment slot → Google Calendar & CRM Integration with automated booking, rescheduling, and dispatch updates → Automated confirmations, reminders, and change notifications in natural language → Central Dashboard showing schedules, conflicts, optimization suggestions, and activity logs → Complete documentation, setup guide, and Loom walkthrough for easy deployment Why me: I specialize in AI automation using OpenAI, LangChain, CrewAI, n8n, and workflow orchestration. I build scalable, production-ready AI systems with clean architecture, detailed documentation, and zero vendor lock-in, making future enhancements simple. Happy to discuss the architecture, recommend the best stack, and build a working proof of concept that can grow into a production-ready solution. Let's chat! — Abhishek

@corpmember29

Hello!! I have similar expertise and work experience for the **{{ MULTI-AGENT AI SCHEDULING AUTOMATION }}** project. I have developed AI-powered automation platforms, multi-agent workflows, CRM-integrated solutions, scheduling systems, and intelligent business process automation. I have 10 years of experience in software and backend application development, with strong expertise in Python, AI integrations, LangChain, REST APIs, workflow automation, cloud services, databases, and scalable application architectures. I understand your requirements for building a multi-agent AI scheduling system that captures requests from multiple channels, intelligently coordinates crew availability, optimizes scheduling and dispatching, integrates with CRM systems and calendar APIs, and automates customer communications. I can help you develop a scalable proof of concept with modular AI agents, secure API integrations, automated scheduling logic, real-time dashboard capabilities, and a clean architecture that can evolve into a production-ready platform. My focus is on delivering a reliable, maintainable, and intelligent automation solution with well-documented code, seamless integrations, and a strong foundation for future enhancements. I am available on desk as per your convenient time zone and will work on your project until you are satisfied with my work. Thanks, Christina

@durgesh8527

With a strong background in full-stack development, particularly in building web and mobile apps, I have the experience necessary to bring your vision of a Multi-Agent AI Scheduling Automation to life. My expertise in working with orchestration frameworks like LangChain and CrewAI and integrating language models such as OpenAI align perfectly with your project's needs. Additionally, my proficiency with Google Calendar and other scheduling APIs will ensure seamless integration with your current systems. Moreover, my skills extend beyond just implementation; I am skilled at finding creative solutions to complex problems. I have experience in creating bespoke CRM integrations, which would prove instrumental in capturing, parsing, and routing the customer requests effectively. Lastly, I understand that a successful project requires more than just writing code; it demands clear communication and an iterative approach. I'll provide runnable code, setup documentation along with a comprehensive walkthrough video chronicling the entire process once we agree upon the approach. In conclusion, if you're looking for an experienced full-stack developer who has mastered building appointment-driven automations while prioritizing clean architecture and performance - look no further! I'm ready to transform your project into a powerful tool that boosts efficiency and saves time for roofing, plumbing and specialty-trade businesses.

@seospider

Hello, I can build a reliable AI scheduling flow that captures every request, checks crew availability and travel time, then confirms the best slot automatically through CRM, calendar, SMS, or voice. I’ve developed FastAPI-based AI automation systems with multi-agent routing, background jobs, CRM/API integrations, and human-review workflows. For your POC, I’ll keep the agents focused, add conflict handling, and provide runnable code, documentation, and a clear Loom walkthrough. Which CRM and calendar are you using? Should phone requests include a live AI voice agent? Best Regards Hasan

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Multi-Agent AI Workflow for Efficient Scheduling ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see that you're looking for a multi-agent AI workflow for scheduling. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for scheduling and automation. I'll create a system that captures requests, checks availability, and sends confirmations seamlessly. ➡️ Why Me? I can easily build your AI workflow as I have 5 years of experience in automation and scheduling systems. My skills include API integration, data parsing, and workflow management. I also have a strong grip on orchestration frameworks like LangChain and CrewAI, ensuring a robust solution tailored to your needs. ➡️ Let's have a quick chat to discuss your project in detail. I'll show you samples of my previous work and how I can bring your vision to life. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ AI Workflow Design ✅ Scheduling Automation ✅ API Integration ✅ Data Parsing ✅ CRM Integration ✅ Dashboard Development ✅ Notification Systems ✅ Multi-Agent Systems ✅ LangChain ✅ CrewAI ✅ Google Calendar API ✅ Appointment Management Waiting for your response! Best Regards, Zohaib

@Zaiyan

I can help you build the multi-agent AI workflow for scheduling across trades. The first step will be to outline the incoming request handling and routing process, ensuring we have a solid foundation for capturing and parsing data. Based in Toronto, Canada, I work efficiently and am always available for quick communication as we navigate this project together.

@shayankhan333

The trickiest part here isn't building the agents, it's preventing race conditions when two agents try to claim the same crew slot simultaneously. I'll wire CrewAI to Google Calendar, build the intake-to-dispatch flow, and deliver runnable code plus a Loom walkthrough showing a request move from intake to confirmed appointment. Worth noting: CrewAI's role-based structure fits dispatch logic better than LangChain's chain-first model for this use case. 1) What does crew availability look like today - a calendar, spreadsheet, or something else? Cheers Shayan

@sahildogra222

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@koolvishruth

Hi, I have 7 years of experience in AI agents development .I can work on it and available immediately.I am okay with budget. Let’s vibing

@rakhshanz3

With almost two decades in the field of AI and a PhD in the subject, my ability to design and build your multi-agent AI system is unparalleled. I have hands-on experience developing similar appointment-driven automations such as AI-powered voice and chat agents for customer support, lead qualification, and appointment booking which gives me an edge on this project. Alongside this, I've worked on complex machine learning-based analytics platforms that led to automation and streamlined business insights, tied into CRM systems - skillsets perfectly suited for scheduling automation between businesses like yours. Furthermore, as a former CTO of an AI start-up, my portfolio includes successful deliveries of full-stack SaaS applications with modern dashboards like the central dashboard you demand. The whole business intelligence system that we build for clients demands scheduling, routing tools that extensively use APIs and machine learning- something your project requires. In fact, I've got proficient skills working with popular scheduling APIs including Google's Calendar API. One of my key strengths is my ability to rapidly learn new technologies. So if your preferred routing or dispatch tool is different from what I've mentioned, I assure you speed won't be compromised while delivering the highest quality solutions.

@ammarahmed20

As an experienced AI developer with a knack for creating intuitive automations like the one you envision, I know exactly how frustrating it can be to juggle operational overload instead of letting technology handle it for you. And that's precisely what I'm here to do - build systems that run smoothly and efficiently to save time and optimize processes. With my skilled knowledge in working with tools like LangChain, CrewAI, OpenAI, CRM software integration, and scheduling APIs like Google Calendar, I'm confident in delivering a tailored workflow that perfectly suits your roofing and plumbing business needs. In previous projects, my focus has been on building intelligent agents capable of handling nuanced tasks. This entails not only routing incoming requests effectively but also considering factors such as crew availability, travel time, and job duration. My AI voice receptionist project for a medical provider is a clear showcase of this where I built an agent that successfully books calls into their GoHighLevel CRM. Lastly, I take pride in delivering working proof of concepts followed by iterative paths to production. By embracing your vision and offering end-to-end service from architecture to deployment along with documentation, I can guarantee a fully realized automation system that harmonizes booking requests, rescheduling, dispatching while presenting users with the earliest realistic slots.

@bojans9

Namaste I understand you need a multi‑agent workflow that captures phone web or text requests, checks crew availability and travel time, then confirms appointments automatically. I will build the pipeline in Python using OpenAI API for language understanding, a lightweight orchestration layer to route requests, and integrate Google Calendar for scheduling. Docker will containerize each agent and a simple web dashboard will display the live schedule and conflict alerts. I will deliver runnable code, setup guide and a short Loom walkthrough. To align with your needs I have a few questions What format will the incoming request data use Do you already have a system storing crew locations and availability Should the dashboard be a web page or a desktop view Looking forward to discussing next steps

@Andyloredo

Hello, I can build a reliability-first proof of concept for this scheduling flow. I would keep calendar availability, duration, travel buffers, crew skills, service zones, and conflict rules deterministic; the language model would be limited to extracting structured intent from requests and drafting clear customer messages, rather than being allowed to invent availability. The POC can include three constrained services: intake/normalisation, slot and dispatch evaluation, and confirmation/exception handling. Google Calendar (or the selected scheduler) remains the source of truth. Web forms and SMS can enter through authenticated webhooks; phone requests can begin with transcripts from a client-owned telephony provider. The workflow will use idempotency keys, retries, validation, audit logs, conflict detection, and human escalation when confidence is low or no safe slot exists. A simple dashboard will show scheduled jobs, proposed slots, conflicts, status, and the reasoning inputs used. Deliverables will be runnable code, sample configuration/data, setup documentation, and a concise recorded walkthrough from request to confirmation. API, LLM, messaging, maps, and telephony accounts or usage fees remain client-owned. This CA$250 bid covers the defined POC—not an unrestricted production rollout—and I can complete it within 30 days, with the full amount requested as a milestone on the working documented prototype.

@rishi9343

I will build a multi-agent AI workflow for scheduling automation, integrating with CRM and Google Calendar, using LangChain and a large-language model like OpenAI to capture and route incoming requests, collaborate on crew availability, and send automatic confirmations and reminders, resulting in a working proof of concept with runnable code and setup documentation, happy to discuss further over DM.

@sarimshoaib1425

100% doable. Built AI agent systems before (4 agents for a law firm handling intake and follow-ups), so multi-agent scheduling with CRM ties is squarely in range. I'd build this using LangChain or n8n as the orchestration layer, agents handling intake parsing (phone/web/text), crew availability checks, and travel/duration matching, tied into Google Calendar for scheduling and CRM for customer records. Confirmations and reminders go out automatically, with a dashboard showing schedule and flagged conflicts. Starting with a working proof of concept first, then iterating toward production as you outlined. Let's do it.

@arturg6

Hello, "LangChain Multi‑Agent Scheduler" - automate booking for roofing & plumbing. I built a similar automation script for Reolink video backups, handling API calls and scheduling tasks: https://www.freelancer.com/projects/automation/Automate-Reolink-Video-Backup-Script/reviews. I’ll capture phone, web‑form and text inputs via Twilio (or similar), parse them with OpenAI, then coordinate crew availability through Google Calendar. Which scheduling API (Google Calendar, Outlook, etc.) do you prefer to integrate? Looking forward to working with you. Artur Giżycki