We build, run, and maintain AI automation pipelines — n8n, Make, Zapier, Claude, ChatGPT — connected to your CRM, WhatsApp, email, and payment systems. Repetitive tasks that take hours? Automated in minutes.
No vague "AI automation" promises. Here's every tool in our stack — what it does, what we use it for, and how it connects to your existing business systems.
Each workflow below is a proven automation template we've built and run on DMAT's own systems. Every one is customisable to your business, your CRM, and your customer journey.
Every lead from Meta CTWA, Google Forms, or website contact form is automatically captured, tagged, and entered into CRM with full context — name, source, timestamp, interest. Zero manual data entry.
Segment-based WhatsApp campaigns. Send batch launch announcements, follow-up reminders, and course updates to thousands — fully automated via Interakt.
Claude or GPT-4o generates Telugu captions, social media posts, email newsletters, and course descriptions from a single brief — then posts automatically.
When a student pays on SuperProfile, they instantly receive course access link, WhatsApp welcome, and are enrolled in CRM email sequence — in under 30 seconds.
Razorpay / SuperProfile payment confirmation triggers automatic invoice generation, receipt email, and upsell sequence — hands-free revenue operations.
Bespoke AI agents trained on your FAQs, course content, or product docs. Handles Telugu WhatsApp queries, qualifies leads, and escalates to human when needed.
Every automation below is live on our own systems right now. Not hypothetical. Not demo accounts. Real workflows processing real data, every day.
10K+ Meta CTWA leads coming in daily — no system to capture, tag, or follow up. Team manually copying lead data into sheets. High drop-off because responses took hours.
After payment, students waited hours for course access. Manual process: check payment → send WhatsApp → add to CRM → email receipt. Missed payments, delayed access, angry students.
Writing Telugu social media content took 2-3 hours per post. Different formats needed for Instagram, Facebook, and LinkedIn. Inconsistent tone and brand voice across platforms.
All 3 automations are live on DMAT's own systems. We built and tested these on ourselves before offering them to clients. Same pipelines, customised to your tools and team.
Every automation project follows the same disciplined process. We don't start building until we fully understand your current workflow — because automating a broken process just creates faster chaos.
Understand your current manual workflow — every step, every tool, every bottleneck. We document exactly what's happening before deciding what to automate.
Choose the right tools (n8n vs Make vs Zapier), design the pipeline architecture, map all API connections, and create the automation blueprint before writing a single node.
Build the automation in n8n / Make. Test with live data, handle edge cases (failed payments, duplicate leads, API timeouts), add error notifications, and run stress tests.
Go live on production. Telugu walkthrough training session for your team — how to monitor, pause, restart, and understand what the automation is doing at any moment.
APIs change. Platforms update. Workflows break. We monitor your automation 24/7, fix issues before they impact your business, and upgrade pipelines as your needs grow.
Every automation project starts with mapping your current workflow. In 20 minutes, we'll identify your top 3 manual bottlenecks, recommend the right tool stack — n8n, Make, Claude, Interakt — and estimate how many hours per week you'll get back.