Software companies spent 2026 selling a short list of AI products: chatbots, document assistants, workflow automation, and agents. The names change from one website to the next. The underlying offer is usually one of those four. This note is about what is actually on the market, and what a business should ask before it treats a demo as a delivery plan.
InsideTech Softwares builds these features inside software, websites, and mobile apps from Jaipur. We do not train foundation models. The comparison below is about the work a company can buy, not about research labs.
What competitors are putting on the first page
Open a dozen software-company sites and the AI menu looks similar.
- Chatbots and support assistants. A window on the website, sometimes WhatsApp, that answers from a script or from company documents.
- Document AI. Pull fields from invoices, forms, or PDFs, then hand the result to a person.
- Workflow automation. A repeated office step — classify, draft, route — with a model in the middle.
- Agents. Software that can take several steps, call tools, and keep going. This is the phrase most often stretched past what the product does.
Those are real product types. They are also easy to advertise with a screenshot. The gap between firms is not the vocabulary. It is whether the feature sits inside the system the business already runs, and whether a person still approves anything that touches a customer, money, or a private record.
The current technology, without the poster language
Most commercial builds in this market use the same ingredients.
- A model reached through an API, not a model the vendor trained from scratch.
- Retrieval over the client’s own documents when the answer has to come from a source.
- An application around that call: login, permissions, a screen, and a log.
- An API into the CRM, help desk, or database that already holds the record.
Python is common for the AI portion. PHP, Laravel, Node.js, or WordPress still carry the business software and the website. Android, iOS, Flutter, or React Native carry a phone app when the job is on a phone. A firm that lists every one of those tools on a homepage is describing a shelf, not your project. The useful question is which two or three this product needs.
Where the market overclaims
Three patterns show up often enough to treat them as a buying risk.
- An agent that is a chatbot. If the system cannot call your tools, keep state, and stop for approval, it is an assistant. That can still be worth buying. It is not an autonomous operator.
- A city page with no office. “AI company in Jaipur” is a search phrase. It is not proof of a team in Jaipur. Ask for the address you can visit.
- A metric with no client. Project counts, percentage savings, and “500 apps shipped” are not a case study. A case study names the work and, when the client agrees, the client.
What to buy instead of a category
Start from the job. A support queue needs a chatbot with a handover to a person. A pile of PDFs needs retrieval and drafting, with the source shown next to the answer. A repeated back-office step needs automation. A multi-step task that must stop for a human needs an agent with an approval step, not a promise that the software will run the company.
If the product is a portal or a phone app, the AI feature should share accounts and data with that product. A separate demo that cannot see the system of record will be rebuilt later.
A practical filter before you shortlist
Ask every vendor, including us, the same four questions.
- Which documents or records is the model allowed to see?
- Which actions can it take alone, and which wait for a person?
- What do we look at to know an answer was wrong?
- Does this live in the website, the web app, or the mobile app we already plan to run?
Firms that can answer those questions are selling implementation. Firms that can only name a model are selling a tour of the market.
If you want that conversation against a real workflow, start with the job, the system you already use, and whether the first release is software, a mobile app, or an AI feature inside one of those.