iTechNotion Private Limited

AI agents that carry out routine work

iTechNotion describes itself as an AI-native development studio that designs, builds and runs AI agents. Its agents are aimed at sales, customer support, human resources, operations and finance. The company says its agents answer customers, qualify leads and process invoices around the clock, and it presents the aim as an AI workforce that does the work rather than one that only advises on it. Clients can start with one pre-built agent or commission a custom one for their own workflow.

A catalogue of ready-made agents

The studio lists a set of pre-built agents. One writes and schedules a client's LinkedIn posts in the client's own voice, replies to direct messages and engages with comments. A content and SEO agent researches topics, drafts articles, adds search optimisation and publishes to WordPress or Webflow. A sales agent reads inbound enquiries, researches the company that sent them and books meetings on a representative's calendar. Other agents cover marketing output, customer support, HR and finance, with the finance agent taking on routine bookkeeping. The company says its pre-built agents can be deployed in two to six weeks.

Three ways to engage

The studio offers three levels of engagement. A single-agent sprint covers one agent and one workflow, takes four to six weeks, includes weekly demonstrations and ends with a month of tuning after launch, and the client owns the code. A multi-agent platform coordinates several agents across a department's workflow, with custom integrations, memory, an evaluation suite and an admin panel. The enterprise rollout is the largest option for organisations that want the whole arrangement built and managed across their operations.

Language models, retrieval and voice

Beyond prebuilt agents, the firm builds custom AI software, including large language model systems and retrieval systems that search and reason over a client's own documents and data. It uses vector stores and evaluation suites, describes its systems as model-agnostic, and says the client owns what is built. It also builds AI voice agents that answer calls, qualify leads and book appointments in a way the firm describes as natural sounding.

Integrations, governance and strategy

The studio connects its agents to enterprise systems such as SAP, Oracle, Salesforce and NetSuite. The company says its governance features include audit logs, single sign-on and an on-premises option for buyers with procurement requirements. Strategy work starts with a short audit that identifies a client's three most promising AI opportunities, and the audit ends with a fixed-price plan that sets out the expected return.

Track record and scale

The company says it has worked with founders, chief executives and operations leaders at more than 590 companies, and that it has 15 years of delivery behind its work. Its own case examples describe agents that produce sales meetings and content output for clients, with the figures presented as the company's own claims rather than independent results.