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ā¢ 1d
š Is Your Customer Support Team Spending Too Much Time on Repetitive Tasks?
Customer enquiries, delayed responses, manual ticket handling, and disconnected systems can slow down business operations.
I build AI Business Assistant solutions using n8n, AI Agents, and API integrations.
Here's what the solution can automate:
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Customer enquiry classification and response drafting
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Priority-based routing and escalation
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Ticket creation and tracking
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CRM updates and team notifications
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Human-in-the-loop approvals for complex cases
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Integration with existing business tools
The goal: Faster response handling, less repetitive work, and better operational visibility.
I've built working AI assistant and customer support automation demonstrations and am available for custom implementation and subcontracting projects.
Are you a business owner, operations manager, or automation agency looking to automate customer support?
š© DM me with your requirements. I'll share a relevant workflow demo and discuss a fixed-price implementation.
#n8n #AIAgents #CustomerSupportAutomation #BusinessAutomation #AIIntegration
For the human-in-the-loop approvals on complex cases, what decides when a ticket gets escalated: a confidence score from the classification step, or rules like keywords and customer tier? That threshold is usually where these n8n flows either save time or create review noise.
ā¢ 7h
Great question! I prefer a hybrid escalation approach rather than relying solely on AI confidence scores.
The workflow can combine:
Confidence-based routing: Low-confidence classifications are flagged for human review.
Rule-based escalation: Critical complaints, refund disputes,...
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Most inbound bottlenecks aren't caused by low lead volumeāthey happen during triage.
When inquiries roll into a Google Sheet or CRM, operations teams often waste 10ā15 minutes per submission reading through messy paragraphs, deciphering budget mismatch, and manually deciding who gets an immediate call vs. a standard rate sheet.
Instead of adding a bulky CRM add-on, I documented a lightweight 3-step automation pipeline built inside Make:
Intake & Extraction: An active listener triggers immediately upon a new submission, extracting core variables: client scope, target deliverables, timeline, and stated budget.
Context-Aware Evaluation (Gemini 2.5 Flash): The payload passes through an AI evaluation node with strict guardrails:
Evaluates budget against minimum agency criteria.
Assigns a triage score: Hot (immediate priority), Warm (nurture), or Cold (disqualified/template reply).
Generates a strict 15-word operational summaryāno long paragraphs.
Determines an automated next step (e.g., routing to an account lead or flagging for asynchronous follow-up).
Data Return & Clean Pipeline: Appends the structured classification directly back to the master operational tracker, keeping the sheet filterable and clean.
The outcome: The sales and operations team can filter the entire board by priority status in two clicks, cutting first-touch response time to minutes without manually reading every single submission.
Iāve documented the full scenario map, execution logic, and data schemas below.
Curious how other agency operators and automation leads here handle their lead enrichment layerāare you doing AI scoring at the form level, or later in the CRM pipeline?:
For the budget gate, I'd keep an unstated budget separate from one explicitly below your minimum. Does the Make route ask for clarification when the amount or currency is missing, so a potentially suitable lead doesn't fall into Cold by default?
Connecting order intake to the vendor workflow.
This TechFoundry IMS demo shows a purchase order feeding a vendor order, followed by date checks, vendor notification, and planning updates. A practical example of the AI and automation workflows we build into business software.
Watch the vendor order demo:
https://www.youtube.com/watch?v=vASYJhdLpZw
#AI #Automation #SoftwareDevelopment #Procurement
This is a customer support chatbot that help users to sell their products online.
User will chat with on your website.
It collect leads on your behalf gather detail in a google sheet.
It will even create meeting add to your Google calendar. It is useful for you as an individual, an entrepreneur, as somebody delivery services or product.
I use my niece boutique as a reference.
Tools:
Ai Agent, Ai chat model, memory, code tools, Google sheet and Google calendar.
Ai Agent: as Ai agent you it a task, it will use several tools at it's disposal to respond and act based on the system prompt.
Ai chat model: respond to all the chats.
Memory: you give your agent memory so that it can remember everything read understand and interpret it.
Code tool: It return the days of the week.It gather information about people that are chatting even see them as potential buyers or not.
Google sheet: It record every sales.
Google calendar: You use Google calendar to book an appointment with your customers
