Most businesses run on invisible manual work.

Someone copies form responses into a sheet. Someone updates the CRM from email. Someone tags tickets by hand and compiles a report nobody reads. Spread across people and tools, the work is invisible — but it's slow, costly, and error-prone.

We find that work, map it, and replace it: n8n or Zapier where a visual tool fits, AI agents where the task is fuzzy, custom apps where it needs its own screen. The goal isn't "AI transformation" — it's giving your team back hours every week.

Before / after

What changes when the busywork is wired up

Today
FormsWhatsAppSheetsCRMEmailInvoicesAdsReports

Eight tools that don't talk. Every handoff waits on someone to copy, paste, and remember.

With automation
FormsWhatsAppSheetsInvoicesCRMEmailAdsReportsAutomationBUILT BY US

The same eight tools. One layer moving work between them, in seconds, unprompted.

How it works

How one AI automation works, end to end

Something kicks it off, an AI step makes the call, your systems update themselves, and the right person gets pinged — every time, in seconds, with no one copying anything by hand.

Inputs
  • Form submitted
  • WhatsApp message
  • Enquiry email
  • Payment received
  • Lead from an ad
The automation
  • Read and classify it
  • Decide the next step
  • Draft it or do it
Outputs
  • Reply sent
  • CRM updated
  • Invoice raised
  • Team pinged
  • Report filed

Each job your team does by hand becomes one of these flows. It runs by itself, and a person only steps in when a real decision is needed.

From systems we run
12
client WhatsApp groups
watched by one AI helper
48×
a day, chats checked for to-dos
so no promise gets forgotten
4,433
documents sorted
for a transport company, in one go
0
messages sent without you
you approve every one

These numbers come from automations we run today, for ourselves and our clients. Before we build yours, we check how much time it will save. If it isn't worth it, we tell you.

Built by us

Software we’ve actually shipped

Most automation shops stop at connectors. We come from a 15-year engineering background, so when the job needs real software, we build it — and have.

Fashion Studio

An AI image studio for a clothing brand — generates on-brand campaign visuals at scale, with no photoshoot per collection.

Product Studio

Turns plain product photos into clean, consistent catalog images automatically — built for a live WooCommerce store.

Insights Dashboard

Turns Search Console and Analytics data into plain-English answers: what's working, and what to do next.

Plus custom WooCommerce plugins and internal apps — catalog generator, marketing dashboard, COD and product-table tools — shipped for Motivate Box.

Capabilities · 07

What our AI automation services build

Workflow automation

Your processes mapped and automated end to end, across your existing stack.

n8n, Zapier, Make & Pabbly

The right tool per workflow — self-hosted control, breadth, visual logic, or flat-rate runs.

AI agents

Agents for one job each — sorting tickets, drafting replies, checking new leads, research.

WhatsApp automation

AI chatbots, auto-replies, and follow-up flows on the channel everyone actually opens.

Business process automation

Reshaping how work flows through your team, not just single tasks.

Custom internal tools

Dashboards, portals, and apps when no ready-made tool fits.

AI into existing systems

Summarise, sort, and draft inside your current CRM or helpdesk.

Real use cases · 03

AI automation examples from work we run every day

These aren't mock-ups. Each one runs for us or for a client right now, and each started as a job someone was doing by hand.

WhatsApp groups that turn into a follow-up list

runs for 12 clients

Client work happens in WhatsApp groups, and promises made there get forgotten. An agent reads every group. When someone tags it on a message, the follow-up is logged in your CRM or a Google Sheet within half an hour, with the context attached. At night it reviews the whole day and catches what nobody tagged. At 9:30 every morning you get a numbered list of who needs chasing, with the message already drafted. Reply "send 1, 3" and they go out. Nothing is sent until you say yes.

Group chat AI logs it 9:30 digest You approve

Paperwork sorted for a transport company

4,433 files in one run

A Kolkata transport company had scanned every bilty, proof of delivery and stamped bill since 2025 into one flat folder, with names like "10531 POD". The AI reads each file, works out the docket number, firm, document type and client, and files a copy where it belongs. Originals stay untouched. The same data feeds a trip dashboard covering 546 trips this financial year. The day it went up, it showed 69 deliveries still missing proof and 159 trips waiting on payment. Before that, staff kept the pending list by hand.

Bilty scans Delivery proofs Stamped bills AI reads docket Sorted folders Trip dashboard

Client updates that write themselves

runs on its own

We run ads for several clients, and every one of them wants to know the moment a campaign goes live. A small script checks each ad account every 30 minutes. When a new campaign starts, or a paused one is switched back on, it drafts a short update for that client's WhatsApp group and waits for a yes. The same pattern works for an order dispatched, a payment received or stock running low. Anything that changes in one system can become a message in another.

Campaign live Script spots it Draft update Client group
Guardrails · 03

Can you trust AI automation with customer messages?

Nothing goes out without a yes

Drafts wait for approval. You can send, edit, skip or schedule each one. Auto-send stays off until the drafts have proven themselves.

Every change is written down

Each automation gets a log of what it does, where its data lives and what changed. If something breaks, we can trace it and roll it back.

It only touches what it needs

Each agent gets the smallest set of tools for its job. Sensitive setups run on hardware we control, and passwords never sit in a chat or a document.

The stack · 22

Tools we build automations on

n8n Zapier Make Pabbly Claude OpenAI WhatsApp API Wati Zoho Bigin Zoho Books TeleCRM HubSpot Google Sheets Apps Script Notion Telegram OneDrive Meta Ads WooCommerce Supabase Next.js Cloudflare

We choose the tool for each job. If a cheaper tool does it well, we tell you.

Process · 04

How we work

1

Discovery Weeks 1–2

We map how you work now, spot what's worth automating, estimate the payback, and pick the first two or three to build.

2

Build Weeks 2–5

Workflows built, connected, and tested. Agents built and checked. Small apps scoped and built.

3

Launch Week 6

Handover, documentation, monitoring set up, and team training.

4

Iterate Month 2+

More workflows, fine-tuning, and monitoring so a broken flow doesn't fail silently. Optional retainer to keep building.

Engagements · 03

Three ways to work with us

Automation audit

We map your processes, list what to automate, and rank it into a clear plan. Run it in-house or bring it back to us. Best for teams with an operations lead who needs direction.

Automation project

We scope, build, and hand over a set list of workflows or a custom app. Fixed timeline, fixed list of what you get. Best when you already know what to automate.

Ongoing retainer

New workflows, agent fine-tuning, small app upgrades, monitoring, and support each month. Best for teams who keep finding new things to automate.