AI automation & AI agentsAI and automation that does the busywork

Assistants that answer customers from your own products and documents, and workflows that move data, chase reminders and write the reports — so software does the repetitive part of the week, and your people do the part that needs a person.

01The problem

Good candidates for automation

If a task is repetitive, follows rules and happens on a computer, there is a fair chance software can do it — or most of it.

  1. 01

    Enquiries sit unanswered overnight

    People ask the same ten questions at eleven at night. An assistant trained on your own answers can reply straight away and hand the rest to a person.

  2. 02

    Someone copies data from one place to another

    Form to spreadsheet, spreadsheet to invoice, invoice to accounts. Every copy is time, and a chance to get it wrong.

  3. 03

    Reports take a morning to put together

    Numbers pulled from four places and pasted into one, every week. That can arrive in your inbox on its own.

  4. 04

    Follow-ups depend on someone remembering

    Payment reminders, review requests, renewal nudges — the easiest things to automate, and the most expensive to forget.

02What we do

What we build

We start from the task, not the technology. Sometimes the answer is an AI agent; often it is a plain workflow with no AI in it at all, which is cheaper and more reliable.

01

AI agents and chatbots

Assistants on your website or WhatsApp that answer from your own products, prices and documents, take bookings and qualify enquiries — and know when to hand over to a person.

02

Workflow automation

The repetitive chains of work, built in n8n or in code: new lead to CRM to WhatsApp to team alert; order to invoice to accounts; form to sheet to follow-up.

03

AI inside your tools

Summaries, classification, drafting and extraction added to software you already use — reading invoices, tagging enquiries, drafting replies for a person to approve.

04

Data pipelines and reports

Data from your store, ads, sheets and tools pulled into one place, cleaned, and turned into the dashboard or weekly report you actually read.

05

Content pipelines

Scheduled, templated content made and published by software — the same kind of pipeline we built for our own reels account.

06

Integrations that fail loudly

APIs connected with retries, logging and alerts, so an automation that breaks tells someone instead of failing quietly for a month.

03Who it is for

Is this for you

A good fit

  • Teams losing hours every week to copying, chasing and reporting
  • Businesses answering the same customer questions all day
  • Anyone who has tried a no-code automation that keeps breaking

Probably not for

  • Replacing judgement calls that need a person — we will tell you where AI should stop
  • Tasks that happen twice a year; those are cheaper done by hand

04The work

Built, live, and open to look at

The Social Surfers enquiry form is a small, real automation: every lead files itself into the agency’s own spreadsheet. The two prototypes are ours, unpaid, and labelled as such — they are where we test how far this can go.

01Marketing agency2026

Social Surfers

A marketing agency in Chandigarh that runs social media, ads and content for other businesses. Sixteen services to lay out without the page turning into a price list.

What we did

The whole site, plus an enquiry form that files itself into their own spreadsheet.

  • Astro
  • Netlify Functions
  • Apps Script
  • Google Sheets
socialsurfers.in
Social Surfers — the live site, scrolling from the top of the home page

We offer a lot of services and needed a site that did not read like a price list. Bitbew understood that straight away — and every enquiry now lands straight in our sheet, so nothing gets lost.

Social SurfersMarketing agency, Chandigarh

From the lab

DevDecoded Reels

Prototype

Software that writes a short video, records the voiceover, renders it and posts it to Instagram without anyone touching it.

Prototype · runs end to end · known rough edges

InterviewSim

Prototype

Paste in a job description and your CV, then sit a spoken interview with an AI that asks follow-up questions when your answer is vague.

Working locally · first deploy in progress

Everything we build for ourselves

05How it goes

From first call to up and running

  1. 01

    Find the task

    We list the repetitive work, how often it happens and what it costs, and pick the one worth automating first.

  2. 02

    Prove it small

    One workflow built and run on real data, with a person checking the output before anything goes out unsupervised.

  3. 03

    Harden it

    Retries, logging, alerts and a clear way to switch it off. AI steps get guardrails, so a bad response cannot do damage.

  4. 04

    Hand it over

    Documented and running in your accounts, with a record of what it did and when it last failed.

Every project starts the same way: a free call, then a written plan with a fixed price per stage. How we work and how pricing works.

Tools and platforms

Automation
  • n8n
  • Google Apps Script
  • GitHub Actions
  • Webhooks
AI models
  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Whisper
Data
  • Postgres
  • Supabase
  • Google Sheets
  • Python
Channels
  • WhatsApp Business API
  • Website chat
  • Email
  • Instagram API
01

Do I need AI, or just automation?

Often just automation. If a task follows rules, a plain workflow is cheaper, faster and more predictable. We use AI where the input is messy — free-text messages, documents, voice — and keep it out of the steps that must be exactly right.

02

Which AI models do you use?

Whichever suits the job: OpenAI, Anthropic, Google or an open model. We build so the provider can be swapped with a configuration change rather than a rewrite, because prices and quality move every few months.

03

Is my data safe?

Automations run in your own accounts, with access limited to what each step needs. We tell you exactly which services see which data, and where it matters we can keep sensitive data away from third-party AI entirely.

04

What happens when an automation breaks?

It tells someone. Every workflow we build logs what it did and alerts on failure, and the care plan covers fixing it when an outside service changes how it works.

05

Can the assistant answer on WhatsApp?

Yes, through the official WhatsApp Business API. Meta charges for business messaging on its own terms, separately from us, and we will walk you through how that works before you commit.