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A new enquiry arrives. How many manual steps happen before that person can become your customer?
Someone reads the message.
Copies details into the CRM.
Checks availability.
Sends a reply.
Remembers to follow up.
That’s a useful place to start with AI automation.
Here’s what a connected workflow could look like:
📩 A website or email enquiry comes in.
🧠 AI extracts the request and flags missing information.
🔄 The workflow creates or updates the CRM record.
📅 The customer receives the appropriate next step, such as a booking link.
👤 Unclear requests are passed to your team for review.
One important design choice: let AI interpret the message, and use clear rules for actions, approvals and pricing. Decide what should happen when information is missing or an integration fails.
You can start with one repetitive process, test it, and expand from there.
I build workflows using n8n, APIs and AI to connect the tools businesses already use.
What’s one task you wish your business could handle automatically?
Comment with:
• The task you keep repeating
• The tools you currently use
I’d love to hear your idea and help you think through a practical workflow.
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From packed boxes to a shipment the client can track.
This TechFoundry IMS demo reuses box details, retrieves UPS rates, creates shipping labels, and keeps tracking connected to the client order. A practical example of the AI and automation workflows we build into business software.
Watch the client shipping demo:
https://www.youtube.com/watch?v=8ohniU08JAA
#AI #Automation #SoftwareDevelopment #Shipping
I like that the shipment stays tied to the client order instead of living in a separate carrier tab. When box details get edited after the UPS rate is retrieved, does the system re-quote before creating the label, or lock the original rate? I'd be curious how you handle that mismatch on the tracking side.
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A simpler way to build workflows.
Otoma. AI turns plain-language instructions into working automations, helping finance and operations teams handle repetitive tasks while staying in control.
You need a strong starting point for a sales-tech brand without trying too hard.
A generic SaaS template won’t work in this case.
What you need are:
• Sales-focused product UI
• Personalized outreach with follow-up and reply intelligence
• Pricing, testimonials, FAQs, and integrations
• CMS for blog posts, feature pages, and case studies
• Clear paths to demos and trials
That’s how we designed Avina, our new Framer template.
Built for AI sales products, outbound automation tools, and sales-focused SaaS products.
Avina is designed around a real outbound sales journey.
So visitors understand quickly.
Check the link in the comment.
What I like here is the focus on the actual sales journey, not just the visual design. For AI sales tools, showing how outreach, follow-ups, and reply handling connect to real outcomes can make a big difference. Curious how you approached that in Avina?