AI Automations

Automate the work nobody should be doing by hand.

We map where your hours actually go, automate the expensive ones, and report the result as hours returned per month and the headcount cost you did not have to add. If a workflow will not pay for itself, we say so before we build it.

What is included

Four places the hours usually hide.

Lead handling that never sleeps

Enquiries captured, qualified, routed and logged the moment they arrive, at 2am on a Sunday as reliably as Tuesday morning. Nothing sits in an inbox waiting for someone to notice it.

Reporting that assembles itself

Numbers pulled from ad platforms, analytics and your sheets into one place on a schedule. The half day a month somebody spends rebuilding the same report goes back to them.

Content and creative pipelines

Drafting, resizing, versioning and scheduling handled by a workflow rather than a person copying between six tabs. A human still approves; a human no longer assembles.

Internal operations

Onboarding checklists, invoice chasing, CRM hygiene, data entry between systems that were never designed to talk to each other.

How we work

Hours in, hours out.

Audit the hours

We map where time actually goes, task by task, with the frequency and the person doing it. Most teams are surprised by what tops the list.

Automate the expensive ones

Not everything should be automated. We build the workflows where the hours saved justify the build and the maintenance, and leave the rest alone.

Measure the hours returned

The baseline is hours per month before. The result is hours per month after, and the headcount cost you did not have to add.

The measurement is deliberately boring. Hours per month before, hours per month after. It is the only number that decides whether an automation was worth building.

Honesty

When not to automate.

A workflow costs money to build and money to maintain. If a task takes twenty minutes a month, automating it is a hobby, not an investment.

We look for tasks that are frequent, rule based, and currently done by someone whose time is worth more than the task. Everything else stays manual, and we will tell you that during the diagnosis rather than after the invoice.

Pricing

Priced after the diagnosis, never before.

Quoted per project against build complexity, with maintenance priced separately and stated upfront. Third party API and platform costs are yours and are passed through at cost.

We price in INR and USD.

Questions

Before you message.

What tools do you build on?

Whatever fits the job and your existing stack. Often n8n for orchestration, with the APIs you already pay for. We do not sell you a platform licence you do not need.

Do we need technical people to run it?

No. Workflows are handed over documented, with a plain English runbook for what to do when something breaks. Where it makes sense we keep a maintenance retainer.

What happens when a platform changes its API?

Things break. That is why maintenance is quoted separately and honestly rather than pretended away. A workflow with no owner becomes a liability within a year.

Is this just chatbots?

No. Most of the value is in unglamorous plumbing between systems. A language model is used where judgement or drafting is genuinely needed, not because it is the fashionable component.

How do you price it?

Per project, against the complexity of the build, quoted after the diagnosis. If the hours saved do not clear the build cost inside a sensible window, we will tell you not to do it.

Tell us what is eating your week.

A short message is enough to start. We will tell you whether it is worth automating before anyone talks about scope.