A demo, not a tool
It works in a meeting but not in daily work. We build inside the tools people already use.
Home / Technology / AI integration
AI integration · Apps and workflows · USA and Canada
PromotEdge International offers AI integration services for businesses in the USA, Canada and other markets. We connect the AI model your company approves to your apps, CRM, documents and workflows, with access controls, testing and cost checks, so AI features do real work inside your existing software. Our delivery team is in India.
AI features inside the tools your team already uses, with your data kept under control.
In short
Most companies do not need a new AI product. They need AI inside the software they already have: a summary in the CRM, a search over their own documents, a draft reply in the help desk. We build those connections, safely.
One feature, or AI across several tools.
| Service | What you get |
|---|---|
| Use-case review | Where AI would save time in your tools, and where it would add risk. |
| Model choice | The model and provider your company can approve, compared on fit, data terms and cost. |
| AI in your apps | Summaries, drafting, classification and extraction built into your own software. |
| Search over your documents | Answers drawn from your own files and knowledge base, with sources shown. |
| Workflow connections | AI steps added to the flows between your CRM, email, forms and other tools. |
| Access and data controls | What the AI can read and do, limited by role, with logs. |
| Testing | A set of real examples to check answers before launch and after every change. |
| Cost and usage monitoring | Usage and spend watched, with limits and alerts, so you see spend before the bill. |
Part of our software development company work.
Brands we have worked with
Work delivered from India. Results are shared one to one, under NDA.
We use these details only to reply to you.
Rather talk now?
A rough note through the form on what you sell and what needs to change.
How people find you today, where inquiries get lost, then a call in your working day.
The work, who does it and how it is measured. Nothing starts until you approve it.
Our team in India does the work, with calls set in your working hours.
Every number we report shows its source and date range, and we travel to our clients every 3 to 4 months.
Typical situations, not results from a named client.
It works in a meeting but not in daily work. We build inside the tools people already use.
Nobody knows what the AI may read. We agree the rules and enforce them in code.
Wrong answers go unnoticed. A test set and human review where it matters catch them.
Usage grows faster than expected. We set limits and watch spend from day one.
One task where AI saves real time, and how you will know it worked.
What the AI may see, what it must never see, and the provider terms that apply.
Working in one tool, tested on real examples from your team.
Access limits, logging, a human check where errors are costly, and spend limits.
Wider use, with answers and costs reviewed as people use it.
AI integration connects an AI model to the software and data your business already runs on, so it can summarise, draft, sort, extract or answer inside your normal work. The model comes from a provider your company approves, under that provider's business terms, and the integration controls what it sees and does.
The value is in the connection, the controls and the testing, not only the model. For AI that runs whole multi-step tasks across your tools, see our AI automation page. For connecting tools without AI, see our API integration services page.
There is no public price list, because the cost follows the job.
AI model usage and any tool fees are separate and paid by you, on your own provider account. You see the scope and the fee in writing before work starts.
A use-case review, help choosing a model, AI features built into your apps, search over your own documents, workflow connections, access controls, testing, and cost and usage monitoring.
Yes. For larger companies we work within your approved providers, security review and access rules, and build logging and controls your IT team can audit.
The one your company approves. We compare options on fit, data terms and cost, and build so the model can be changed later.
That depends on the provider's terms for your account. We check those terms with you before any data is connected, and limit what the AI can see.
Our website coding team, led by Avijit Bhattacherjee on front end and back end, builds AI integrations, with Raju Barui, a backend developer. We are available round the clock, 24x7, as per your location, and we travel to our clients every 3 to 4 months.
A real person reads every message and replies.
Adding AI to software you already run is mostly a design and control problem, not a model problem. This guide covers the patterns, the data and security questions, testing, model changes and how to measure the result.
Four kinds of work. One plan.