AI automation of lead processing from Calendly and follow-up through Gmail

Budget: 3000 UAH Deadline: 3 days

Welcome! The Business Atlas team is ready to implement your project for setting up AI automation for processing leads from Calendly. The Make platform is more than sufficient for this scenario: it has native stable modules for all the specified services and works flexibly with OpenAI prompts. In my experience, I have completed over 50 successful projects in the UA/EU markets, where delegating lead generation and analytics to visual platforms significantly reduced Time-to-Market without compromising quality.
Our vision for the technical implementation of your specifications:
•Integration and CRM logic (Make): When a call is booked in Calendly, the Make scenario instantly creates a lead card in ClickUp with the status New Lead. We will set up the entire range of basic statuses from New Lead to Closed.
•Transcript analysis and AI module: After you manually add the Zoom/Otter transcript to ClickUp, Make will intercept the update and send the text to the OpenAI API. The AI will generate a brief summary of the conversation, determine the lead status, and update the card in ClickUp (for example, to AI Review or Hot Lead).
•Creating Draft Email in Gmail: Based on the meeting analysis, OpenAI will formulate a personalized response, and Make will create the draft in your Gmail. The email will not be sent automatically under any circumstances—you will be able to review and edit it before sending.
•Smart Follow-up emails: We will embed the history of previous summaries in ClickUp. Subsequent follow-up emails will be generated by the AI considering the context of the previous conversation and the client's responses, rather than on a strict timer.
Relevant experience from my portfolio:
•Smart AI newsletters: We developed systems for the marketing agency IronSoft and the German brokers Generation Tech Partnerth, where AI prepares deep contextual emails for clients.
•Meeting analysis and CRM: We have experience creating AI assistants that analyze transcripts of online meetings, structure data, and guide clients through the status funnel.
Estimated timelines and costs for MVP:
Overall implementation time: 2.5 – 3.5 weeks.
Estimated cost: $2,500 – $4,500 turnkey (depending on the volume of contextual data and the final number of scenarios for follow-up).
Are you ready to discuss the details of the technical task in private messages? Expand

Budget: 27000 UAH Deadline: 14 days

So, we have experience with similar AI automations for CRM, lead processing, emails, and statuses. For the budget, I would aim for 45,000 UAH, and for the timeline - 10-14 working days for the first stable version with draft checks in Gmail.

Look, there’s a nuance here - Make is sufficient for the MVP and the first working implementation, as long as the logic of the emails doesn’t grow into a large system of rules. For a more stable version, I would keep Make as the integration layer, while the AI analysis, lead memory, status checks, and rules for follow-up emails would be moved to a small manageable module. This reduces the risk of scenarios breaking due to atypical customer responses.

We can do it this way:
> Calendly creates a lead in ClickUp
> after adding the transcript, AI analysis of the application and conversation is triggered
> a brief summary, lead status, and next action are formed
> a draft email is created in Gmail, without automatic sending
> follow-up emails are formed considering the customer’s response and the context of the conversation
> ClickUp statuses are updated according to the rules New Lead, Call Completed, AI Review, Waiting Reply, Hot Lead, Proposal Sent, Follow-up Later, Closed.

To assess more accurately, I need 2 clarifications =)
> Is there already a ready structure in ClickUp with statuses and fields, or does it also need to be designed?
> Should customer responses in Gmail be tracked only in one email thread, or do all new emails from this contact also affect the status and next text?

Similar cases from Ingello:
> https://business.ingello.com/fractal - similar logic of AI agents and process automation
> https://business.ingello.com/forma-crm - relevant to CRM logic, statuses, and working with leads
> https://systems-fl.ingello.com/ua - briefly about our approach to system development for FLH

!!Important!! I would not implement automatic email sending in the first stage. Better drafts, AI decision logs, and manual confirmation - this is safer for sales and the domain's reputation. Expand

Budget: 27000 UAH Deadline: 14 days

Good day! I can help with such a scenario. I have already worked with automations through Make, OpenAI, Gmail API, and CRM systems, so the logic is clear.

In your case, everything can be set up so that after booking in Calendly, a lead is automatically created in ClickUp. Then, after adding the transcript, AI will analyze the conversation, create a short summary, determine the lead's status, and prepare a draft email in Gmail for your review before sending. The follow-up can also be made "smart" — taking into account the context of the conversation and the client's responses.

Just let me know:
— Is ClickUp already set up for this process?
— Will you be working only through Gmail?
— Will the communication be in English?

Regarding the timeline — approximately 1–2 weeks.
I see the budget starting from $750, depending on the details and the number of scenarios, but we need to discuss it in more detail first. Expand

Budget: 20000 UAH Deadline: 30 days

I will set up flawless AI automation for your funnel based on Make, ClickUp, and OpenAI, implementing token-optimized analysis of long transcripts with strict output of responses into Gmail drafts.

How do you plan to transfer text from Otter to ClickUp (via direct webhook or by copying into a custom text field), and how will the linking of Gmail Thread ID be implemented in the logic of Make so that subsequent AI follow-ups go into the current email thread with the client rather than creating new separate emails?

I will send the estimated budget for building the scenario architecture, operational limits for your volume of leads, and the timeline for launching the MVP in personal correspondence.

Budget: 27000 UAH Deadline: 10 days

Sergiy, greetings
The brief is very clear - and that's a plus right away, it shows that you have already thought through the process well, rather than just looking for AI automation.

I have just worked with similar logic (AI + communication automation and lead processing), so I will speak as specifically as possible.

Quickly on your brief:
- Make vs custom
For the MVP, Make is more than enough. This will allow you to quickly assemble a working system and test it on real leads without unnecessary development. If the volume increases later or the logic becomes more complex (many branches, complicated follow-up), then it makes sense to move AI processing to a separate service.
- Draft instead of auto-send
I fully support this. It is much safer and gives control over quality. Plus, you can add simple logging logic: why the AI generated that specific response and based on which data - this is very helpful when scaling.
- Follow-up by context
Here the key is not just timers, but updating the lead's context before each interaction. Otherwise, the system starts to live separately from reality.

To accurately assess the scope, I need to clarify two points:
- How many leads on average come through Calendly per month?
- Is there already a ready structure in ClickUp (statuses/fields), or does it need to be designed from scratch?

Essentially, this is no longer just automation, but a small agent system - and it is very important to correctly assemble the architecture from the very start. Expand

Budget: 2000 UAH Deadline: 7 days

Hello, I worked on an AI CRM system for Lead Generation with automatic follow-up through Make.com + OpenAI for a SaaS startup - 90% conversion of leads into customers, processing 500+ leads per month.

I’m curious if you plan to use different AI prompts for different types of leads or one universal prompt for all customer categories?

I suggest we get in touch; I will provide you with a free technical consultation and we can outline a development plan + I will tell you about my team!

Budget: 13000 UAH Deadline: 7 days

Good day.
I am ready to take your project into work.
I can develop such automation for you using n8n.
Message me privately, and we will discuss all the important details and find the best solution for you.

Budget: 5000 UAH Deadline: 3 days

Good day! We can help with AI automation of the workflow: Calendly → ClickUp → AI analysis → Gmail drafts → follow-up logic. We implement: — lead creation in ClickUp — AI summary and analysis of transcripts — lead qualification and statuses — draft emails in Gmail via AI — follow-up scenarios based on the context of the conversation — CRM workflow and automatic status updates. For such a scenario, Make is well-suited as an orchestration layer in conjunction with OpenAI API, ClickUp, Gmail, and Calendly. We are ready to discuss the workflow logic, status structure, and MVP for the start.

Budget: 7000 UAH Deadline: 10 days

Hello! My name is Nikita. I have been implementing AI solutions in paid advertising and automating marketing processes for over 2 years, working with Google Ads, Meta Ads, and TikTok Ads.
✅What you get when working with me:
— AI-enhanced advertising strategy instead of chaotic launches
— automation of analytics and control of project economics
— systematic scaling based on data and AI tools
📈I work with projects of various scales and use AI for faster analysis of results, finding growth points, and optimizing advertising processes without unnecessary costs.
I am ready to discuss your tasks and offer a practical plan for implementing AI in your project's advertising.

Budget: 27000 UAH Deadline: 10 days

We have a practically ready similar AI-CRM automation that can be quickly adapted for Calendly - ClickUp - Gmail; we can discuss the details here right now, I am available ))
Make is sufficient for the MVP if the scenarios are neatly divided into lead reception, transcript analysis, draft email creation, human verification, and status updates in ClickUp.
For stable follow-up logic, I would suggest Make - OpenAI API - Gmail drafts - custom fields in ClickUp, and keeping the transition rules in ClickUp or a separate settings table.
Approximately 10 working days and 42,000 UAH for the first working version with tests on 3-5 lead examples.
An important nuance is that the AI should not just write text but return a structured result with status, risks, a brief summary, the next step, and a draft email in Gmail.
From your side, access to Calendly, ClickUp, Gmail, Make, OpenAI API, a real lead example, 1-2 transcripts, and rules for when to consider a lead as a Hot Lead or Follow-up Later is needed.
I would like to clarify 2 points - should the system automatically account for client responses from Gmail through incoming emails, and should the system itself assign tasks to the manager in ClickUp after each status.
Similar logic cases Ingello
https://business.ingello.com/vorfahr - AI automation and process management
https://business.ingello.com/fractal - agency logic and decision-making scenarios
our FLH landing
https://systems-fl.ingello.com/ua Expand

Budget: 27000 UAH Deadline: 21 days

Good day. I understood the task — Calendly connects with ClickUp, after the call the Otter/Zoom transcript is manually inserted, AI creates a summary plus classifies the lead status plus generates a draft email in Gmail, each subsequent follow-up iteration considers the transcript plus the previous client response instead of a timer. The pipeline ends with a draft in Gmail, not an automatic sending — this is correct for quality control.

Regarding the stack — Make will handle the MVP, but there should be two architectural solutions. The first — processing the transcript and generating the summary plus draft should be done through a separate backend endpoint on FastAPI that Make calls as a webhook, rather than trying to do a full prompt inside Make's HTTP action. Make is good for orchestrating events, but poor for nuanced prompt engineering plus retry/fallback logic. The second — lead statuses (New Lead, Call Completed, AI Review, Waiting Reply, Hot Lead, Proposal Sent, Follow-up Later, Closed) should be kept in ClickUp as the single source of truth, with Make only updating the status field via the ClickUp API at each transition. This avoids desynchronization when Make remembers one state, while ClickUp has long had another.

Specifically regarding the draft email — I write a prompt separately for the first draft (based on the Calendly form plus transcript) and separately for the follow-up draft (where prior_response from the client plus the history of previous emails is added). Tone, style, sign-off — are parameterized in the prompt profile, so you can adjust them without reworking the logic. To switch between drafts within the same lead, I keep lead_state in a ClickUp custom field.

A technical nuance — the Gmail Drafts API has a quota of 250 draft creations/day for free and requires OAuth with robust refresh-token handling. In a Make-only approach, this is fragile; in a custom backend using python-google-api-client, it is stable.

Relevant experience — I have been building LLM integrations with OpenAI/Anthropic for three years, and my current side project is precisely about similar CRM-like logic with ScoringPipeline plus DraftGeneration plus FollowUpHandler. RAG plus prompt engineering plus pipeline orchestration has been my main focus for the past year.

Estimated timeline for MVP — 2-3 weeks, with an emphasis on the quality of prompts and error handling, as this is usually where such automation breaks down. If there is access to 5-10 real transcripts plus examples of how you would write follow-ups — it will be faster and of higher quality to adjust. Expand

Budget: 20000 UAH Deadline: 14 days

I see that you need not just a Calendly → ClickUp integration, but specifically an AI-driven follow-up system where emails are generated based on the context of the call, rather than a template timer. It is critical to correctly build the AI logic for analyzing transcripts and lead statuses so that follow-ups appear natural and relevant.

I have worked with similar automation workflows through Make.com + CRM + AI tools: I built AI qualification flows, automated lead routing, lifecycle email automation, and CRM pipelines. I also implemented end-to-end systems where AI analyzes lead data and triggers personalized communication scenarios.

For this project, I would suggest the stack:
Calendly + ClickUp + Make + OpenAI API + Gmail drafts.

Yes, Make is sufficient for this scenario, including:
— webhook integrations
— AI transcript analysis
— draft creation in Gmail
— conditional follow-up logic
— ClickUp status automation.

I particularly like your approach with draft emails instead of auto-send — this is better for quality control.

Approximately:
— timeline: 7–14 days depending on the complexity of the AI logic and the number of scenarios
— budget: ~$700–1400

Question: do you plan to use OpenAI only for email generation, or also for lead scoring / intent detection based on the transcript? Expand

Budget: 7000 UAH Deadline: 4 days

Hello!

I am a no-code automator, specializing in automations through the Make.com service. I have practical experience in implementing automations using ClickUp, Calendly, Gmail API, and OpenAI.

For your project, Make.com is quite sufficient; the automation will consist of several scenarios, and the emails will be generated as drafts that can be reviewed and edited before sending.

The estimated timeframe is 3-4 days.
The cost is 7000 UAH.
Feel free to reach out if you're interested!

Budget: 10000 UAH Deadline: 1 day

Hello!

We are dZENcode – a full-cycle digital solutions development company: from design and programming to integrations and post-release support. We take on projects from scratch and also engage in the refinement of existing solutions.

We can create AI automation for you based on this scenario.

Which stage needs to be automated first? Is a review and correction of the draft needed before sending?

You can find detailed information about our services and rates on our website: Freelancehunt
Take a look – after that we can discuss the details and agree on the next step.

⚠️ After clarifying all the details, we will determine the scope, the suitable format of cooperation: task-based, outsourcing, or outstaffing, and the final cost.

Why projects with us are guaranteed to reach release:
💎 10+ years providing IT services;
🔥 90+ in-house specialists;
🚀 250+ public reviews since 2015;
⚙️ We support the product according to SLA after launch;
✅ We work under NDA and a contract with the company! Expand

Budget: 6000 UAH Deadline: 14 days

Hello! I am ready to implement automation for Calendly + ClickUp + OpenAI + Gmail through Make.

Budget: 777 UAH Deadline: 10 days

Sergiy, hello)

I would be happy to complete your task, the only thing I would recommend is to develop it based on n8n on your VPS server, as it will be easier to scale automations to meet your business needs in the future, having your own prepared infrastructure.

Also, in your business process, I can already point out a very weak spot, namely "after the call we manually add the Zoom/Otter transcript to ClickUp," so I suggest discussing the possibility of implementing this automation as well, if it is technically feasible.
To ensure that your specialists' experience with this automation is limited to checking the draft and sending the email.

I would be happy to discuss this project in private messages.

Budget: 2000 UAH Deadline: 3 days

Hello! I have carefully reviewed your project and am ready to start working. I guarantee quality and timely execution.

Budget: 10000 UAH Deadline: 3 days

Hello, Serhiy!

I have experience with all the services mentioned.
For follow-ups, I implemented a similar scheme in agents: where not only the text is formed based on the context, but also the time of sending is extracted from the context.

We can start today.
The development duration is 3 days.
The cost is 10,000 UAH.

If we start today, I will aim to finish by tomorrow.

Budget: 6000 UAH Deadline: 3 days

Hello. I have extensive practical experience in automating business processes and integrating CRM systems, so this task is very familiar and understandable to me. The stack you proposed is ideal, and the capabilities of the Make platform will be more than sufficient to implement such logic. We will break the scenario into several stages where lead creation will occur instantly after booking, and AI analysis will only be triggered after the transcript is added to the task. For generating emails, we will set up system prompts in OpenAI so that the artificial intelligence takes into account the context of the conversation and creates drafts in Gmail through the appropriate module instead of sending them directly. We will tie the follow-up logic to the analysis of statuses in ClickUp so that reminders are relevant and based on previous communication. In terms of timelines, the implementation and testing of all scenarios will take about 3 days, and the estimated budget will be 6000 hryvnias. From your side, a paid Make plan and an active OpenAI API balance will be required for stable operation. Please let me know if you already have a configured workspace in ClickUp with the necessary fields for transcripts, or if the structure of lead cards also needs to be designed from scratch.