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PromotEdge International

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AI automation · Documents, CRM and follow-ups · USA and Canada

AI automation agency for businesses in the USA and Canada

PromotEdge International is an international strategy, technology, marketing and design company. We build AI automation for businesses in the USA, Canada and other markets, taking repetitive work out of operations, sales, marketing and HR. Our delivery team is in India, and every automation runs in tools you own.

Hours back for your team, with a person checking the output where a mistake would cost you.

In short

We build software that does the repeated tasks your staff do by hand, with AI handling the parts that need reading or judgment. Start with one process that costs real hours.

AI automation services we offer

Most companies begin with one of the first four.

01

Process automation

Hand-offs, approvals and data entry between your systems, so a task moves on without someone copying it.

02

CRM automation

Leads captured, enriched, assigned and followed up in the CRM you already use.

03

Marketing automation

Email and message flows triggered by what a lead or customer does, written in your voice.

04

HR and HRMS workflows

Onboarding steps, leave requests and document checks handled inside your HR system.

05

Document processing

Invoices, forms and contracts read and filed, with a person checking anything unusual.

06

Operations capacity

Reports, reminders and status updates that run themselves, so your team handles more without new hires.

Brands we have worked with

  • Fine Organics
  • Weichai
  • Novozymes
  • Dozco
  • SANY
  • Prezent
  • Honest AI
  • SCENNE
  • Sara International
  • Vega MPS
  • Desi Machine Pvt. Ltd.

Work delivered from India. Results are shared one to one, under NDA.

See all clients

  • Since 2015
  • Round the clock, as per your location
  • 4 pillars
  • We travel to our clients every 3 to 4 months
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How we work

  1. 01

    Tell us the goal

    A rough note through the form on what you sell and what needs to change.

  2. 02

    We study your market

    How people find you today, where inquiries get lost, then a call in your working day.

  3. 03

    A written plan

    The work, who does it and how it is measured. Nothing starts until you approve it.

  4. 04

    The work starts

    Our team in India does the work, with calls set in your working hours.

  5. 05

    Reports and visits

    Every number we report shows its source and date range, and we travel to our clients every 3 to 4 months.

Common challenges

Why AI automation projects disappoint, and what we do about it

These are typical situations, not results from a named client.

A broken process gets automated

If the manual steps are muddled, the automation repeats the muddle faster. We fix the process on paper before we build anything.

Data ends up somewhere it should not

Know where your data goes before you send it anywhere. OpenAI, for example, says it does not train on business data by default on its business plans and API. We tell you which services see your data, and keep personal data to the minimum.

Errors spread at machine speed

One wrong rule can touch a thousand records by lunch. A person approves outputs during the pilot, and alerts fire when results look unusual.

Nobody owns it after launch

An automation with no owner fails quietly. We name who on your side owns each one, and write down how it works.

Staff work around it

People keep doing a task by hand when they do not trust the tool. We build it with the staff who do the work today, so they help shape it.

You get locked in

If we built it on accounts we control, leaving would be hard. Automations run in your accounts, with your API keys, and the notes stay with you.

How we work

How an AI automation project runs

  1. 01

    Map the process

    We watch how the task is really done, step by step, and count the hours it takes.

  2. 02

    Pick one target

    We choose the process with the clearest return, and agree what success means in hours or errors.

  3. 03

    Build a pilot

    A working version runs on real data, in your tools, with a person approving each output at first.

  4. 04

    Check it hard

    We test odd cases and bad inputs, and log every decision so you can see why it did what it did.

  5. 05

    Roll out and hand over

    Once the numbers hold, the checks loosen where it is safe, and your team gets a simple guide.

  6. 06

    Look after it

    Models, tools and your processes change, so we review each automation on a schedule.

What AI automation is

AI automation means software that does a repeated task your staff do by hand, such as reading documents, updating a CRM, sending follow-ups or routing requests, with AI handling the parts that need reading or judgment. The aim is staff hours back, fewer mistakes and faster replies.

Not sure where AI fits yet? Start with AI consulting services. Start with one process that costs real hours, and prove it there before automating anything else.

For a business in India, see PromotEdge's AI automation services.

Cost

What AI automation costs

There is no public price list, because the cost follows the job.

What affects the cost

  • How many processes you automate
  • How many systems they connect to
  • How closely a person must check the output

How we price

AI service fees are separate, and we estimate them before you commit. You see the scope and the fee in writing before work starts.

Questions buyers ask us

  • Your data stays in your systems and in the AI services you approve, under your accounts. We list every service that will see it before we start. What we build for you belongs to you. It becomes yours on final payment.

  • We do not publish a price list. The cost depends on how many systems the process touches, how messy the data is and how much checking the output needs. The running costs of AI services are separate, and we estimate them for you before you commit.

  • A focused pilot on one process can usually be built and tested in weeks. Larger work that spans several systems takes longer.

  • Usually not. Most automation connects the tools you already have, such as your CRM, HR system, email and spreadsheets. We say plainly if a tool is the real problem.

  • Look for work that is repeated often, follows rules most of the time, and costs real staff hours, such as data entry, routing requests and follow-ups. Leave anything rare, risky or sensitive until the first automation has proved itself.

  • Against the number agreed at the start: hours saved, errors avoided or reply time. We measure before and after on the same task, and report it in plain words.

  • Yes. Our delivery team is in India, and the work happens in your tools, over the internet, and the people who know the process are yours, so we work closely with them. We travel to our clients every 3 to 4 months, and our working day runs through your night, so changes can be ready by your morning.

  • Our website coding team, led by Avijit Bhattacherjee on front end and back end, builds automations, with Raju Barui, a backend developer, and Rima Shaw, Senior Account Manager, as your day-to-day contact. They use licensed tools and software. We are available round the clock, 24x7, as per your location.

Tell us what is not working

A real person reads every message and replies.

Guides on this topic

  • Guides

    AI automation examples a business can use this quarter

    AI automation means a tool does a repeated task for you, using an AI model for the parts that need reading or writing. This guide gives examples from the tool makers' own public libraries, and says where each one helps and where it goes wrong.

    2026-11-12
  • By industry

    AI use cases in manufacturing that pay back

    Manufacturers are among the heaviest users of industrial AI, but payback varies by plant. This guide describes use cases that companies have published about themselves, and gives a way to test each one against your own numbers.

    2026-11-12
  • Guides

    AI workflow automation: where to start and what to skip

    Most useful business automation is a workflow, a fixed path with a model on the steps that need language. This guide explains the difference from agents, where to start, what to skip and how the tools count their usage.

    2026-11-12
  • Guides

    How to automate business processes with AI, step by step

    Automating a process with AI is mostly a matter of order: choose well, write it down, build small, check hard and measure. This guide gives seven steps, with the public sources behind the advice.

    2026-11-12
  • Comparisons

    n8n vs Zapier vs Make: which automation tool fits

    Three tools come up whenever businesses compare automation platforms. This guide sets them side by side using each vendor's own published facts, shows why their prices do not line up, and says what to check for your case.

    2026-11-12

All our services

Four kinds of work. One plan.

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