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PromotEdge International

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AI agents · Tasks that vary case by case · USA and Canada

AI agent development company for the USA and Canada

PromotEdge International is an international strategy, technology, marketing and design company. We build AI agents for businesses in the USA, Canada and other markets: software that works through a multi-step task using your tools, within limits you set. Our delivery team is in India.

Software that does the task and hands over to a person when it should.

In short

An AI agent decides its next step, acts through your tools such as the CRM, email or database, and stops when the job is done or a person is needed. For a task that runs the same way every time, ordinary automation is simpler.

AI agent services we offer

Each agent gets one clear job, a fixed set of tools and a person to report to.

ServiceWhat you get
Research agentsGather and summarize information on a lead, a supplier or a market, with sources listed.
Operations agentsWork through tickets, orders or requests, and pass anything unusual to a person.
Sales and CRM agentsPrepare follow-ups, update records and flag deals that have gone quiet.
Internal knowledge agentsAnswer staff questions from your own documents, and say where each answer came from.
Tool and system connectionsSecure links to the systems an agent needs, with read-only access wherever writing is not required.
Monitoring and logsA record of every step and decision, with alerts when an agent behaves oddly.

Part of our AI automation work.

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

What goes wrong with AI agents, and how we handle it

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

Someone hides instructions in the input

An email or a web page can carry text that tells an agent to do something else. OWASP lists prompt injection as the first risk for AI applications. We limit what each agent can reach, and keep a person on any action that matters.

Wrong answers sound confident

A model can state something false in a calm, certain tone. Agents cite their sources and pass low-certainty cases to a person.

The agent loops and runs up costs

An agent stuck on a task can repeat itself for hours. Step and spending limits stop it, and alert someone.

Access creeps wider

It is tempting to give an agent admin rights to save time. Each tool stays on the narrowest access, reviewed when the job changes.

Nobody reads the logs

Logs only help if someone looks. We set a review rhythm and alerts, and name who on your side owns the agent.

How we work

How we build an AI agent

  1. 01

    Define one job

    We write down what the agent does, what it must never do, and when it must stop and ask.

  2. 02

    Choose the tools and limits

    Each tool gets the least access the job needs, with spending and step limits.

  3. 03

    Build and test with bad inputs

    We try to trick it, confuse it and feed it wrong data before any customer or colleague sees it.

  4. 04

    A person in the loop

    Early on, a person approves each action that changes data or reaches a customer.

  5. 05

    Watch and adjust

    We read the logs, fix what goes wrong, and widen what it may do only when the record supports it.

What an AI agent is

An AI agent is a program that uses a language model to decide its next step, then acts through tools such as your CRM, email or database, and repeats until the job is done or it needs a person. That makes it more flexible than a fixed automation, and also harder to control, so the limits matter as much as the model.

Agents suit tasks that vary from case to case, such as researching a lead, triaging a support ticket or preparing a report from several sources.

If the agent is for a business in India, see PromotEdge's AI agent development page.

Cost

What an AI agent costs

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

What affects the cost

  • How many tools the agent uses
  • How much testing the task needs
  • How closely a person must check it

How we price

Model and hosting costs are separate, and we estimate them before you commit.

Questions buyers ask us

  • It stops, logs what happened and passes the case to a person, as long as the limits are set well. We review those cases, fix the cause and test again. You can switch any agent off at once.

  • At every point where the agent changes data, spends money or speaks to a customer, at least at first. As the record builds up, some checks can move to sampling. The ones that carry real risk stay.

  • An automation follows fixed steps. A chatbot holds a conversation. An agent decides its own next step towards a goal and uses tools to act. Many projects mix all three.

  • Only if the set-up is right. The agent runs under your accounts, reaches only the data its job needs, and uses AI services you have approved. We list every service that will see your data before we start.

  • Our website coding team, led by Avijit Bhattacherjee on front end and back end, builds agents, with Raju Barui, a backend developer. Our delivery team is in India, and we travel to our clients every 3 to 4 months. 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 agent examples: what agents do well, and where they fail

    AI agents are software that pursues a goal by choosing its own steps and using tools. This guide gives public examples, says where agents do well and where they fail, and lists the controls that reduce the risk.

    2026-11-12
  • Comparisons

    AI agents vs chatbots: what is the difference, and which does your business need?

    "Chatbot" and "AI agent" are used as if they meant the same thing, and vendors have an interest in the confusion. They are different tools for different jobs: one converses, the other completes tasks. This guide explains how each works, where the line sits between a scripted bot, an AI assistant and an agent, which fits which business job, what each costs to run, and how to start without over-building. It is written for owners and operations leads at companies in the USA and Canada. PromotEdge International builds both AI agents and chatbots with its technology team in India; we name no client example here because none is approved for publication yet.

    2026-11-08
  • By industry

    AI for car dealerships: BDC, phones and follow-up, within the consent rules

    The dealership that answers first usually sells the car, and no BDC can answer every lead, call and chat in the first minute at eight in the evening. That is the job AI does well in a dealership: the first reply, the after-hours chat, the phone answered and routed, the appointment set and confirmed, the service reminder sent. It does the job badly when it is allowed to guess a price or a payment, or when it calls and texts people who never agreed to hear from a machine. This guide covers where AI helps, the rules on calls and texts, how to deploy it without inventing a number, and how to measure it. It sits under our main guide to digital marketing for car dealerships. It is general information, not legal advice.

    2026-11-08
  • Guides

    How to build an AI agent: tools, steps and the traps

    Building an agent is easy to start and hard to make safe. This guide gives the steps, the three main build routes, and the traps that catch most first attempts.

    2026-11-12

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Four kinds of work. One plan.

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