Every list of the top AI consulting companies in India is either a directory that charges for placement or a vendor’s own blog. This one is written for a promoter running a ₹20 to 500 Cr business who has been told to do something with AI and wants to know who to call. AgentJi is last on the list. Read the last column first.
Eight kinds of firm, and what each one is for
| Firm | Who it suits | Typical engagement | What you get | Where it falls short for a ₹20-500 Cr promoter-led business |
|---|---|---|---|---|
| Accenture | Groups with a programme office, usually already on SAP or Oracle | Multi-year programmes; strategy, platform and change in one contract; teams of dozens | A global method, a bench, and a name the board recognises | Minimum engagement larger than most promoter-led IT budgets. The team that sells is not the team that builds. Nobody on the account knows your stores in-charge. |
| Deloitte (and the other Big Four) | Businesses with a regulator, an investor or an IPO in view | Advisory and risk: AI strategy, governance, controls; some build through the consulting arm | A strategy document, a governance framework, and audit-grade credibility | The deliverable is usually a document. Building is subcontracted or left to you. Fees are set for enterprises; a ₹100 Cr plant is a small account. |
| Fractal | Large consumer, financial and retail enterprises with data already in a warehouse | Multi-year analytics and AI programmes on enterprise data, with a dedicated team | Mumbai-founded, in business since 2000; deep data-science benches and products of its own | Built for enterprises with large, clean data. A plant on Tally and registers is below the scale the model is priced for. |
| Tredence | Enterprises in retail, consumer goods and industrials wanting data engineering and AI together | Data platform build, then AI use cases on top; delivery from Bengaluru with onshore account teams | Founded 2013, several thousand staff; strong on data engineering and keeping models running | Assumes a data platform exists or is budgeted. The first six months are plumbing. Mid-size Indian promoters are not the target customer. |
| LeewayHertz | Companies with a defined application to build and someone in-house to specify it | Fixed-scope development: proof of concept, MVP, custom AI application; now part of The Hackett Group | Developers who build what you specify, including agents and generative AI applications | You must know what to build. They build and hand over; running it, and deciding what it should have been, stays with you. |
| Appinventiv | Businesses that want an app or a product with AI inside it | Scoped product builds from Noida; mobile, web and AI; 1,600-plus staff by its own count | A delivery organisation that ships software to a specification | A product shop, not an operations partner. It is not set up to answer what should run in your plant. |
| Boutiques and independent consultants | Owners who want one experienced person they can call | Advisory by the day or month; sometimes a small build | Attention, judgement, and a fee that fits | Depends entirely on the one person. Little bench, no guarantee, and when the build needs five people it stalls. |
| AgentJi | Promoter-led businesses, ₹20 to 500 Cr, on Tally, Excel and registers, that want something running in 30 days | A plant visit, a written roadmap with the saving per agent, then AgentJi builds and runs the agents for a monthly fee; weekly brief every Monday | Working agents inside the systems you have, a saving agreed in writing, and a firm that keeps working at no charge for up to 90 more days until it is met | Small and young, based in Kolkata; the first engagement notes with client numbers are due 90 days after go-live, so judge it on the live board, not on history. Not the firm for a 1,000-user ERP rollout or a group-wide data platform. |
Descriptions are from each firm’s own published material, October 2026; headcounts and ownership change.
What the lists leave out
The team that sells is not the team that builds. The partner who meets the promoter hands over to a delivery team the promoter never chose. Ask who will sit in the plant, by name.
Most AI consulting ends in a document. A roadmap deck is the cheapest thing to produce and the easiest to bill. Ask what will be running 30 days after signing, and what happens if it is not.
Nobody guarantees the saving. Read the contract for the word “target”. If the fee does not move when the saving is missed, the risk is yours.
Our view, stated plainly
If the business is above ₹500 Cr, has a programme office and data already in a warehouse, call Accenture, Fractal or Tredence; the scale fits. If a regulator or an IPO is the reason, Deloitte or another Big Four firm gives the signature the merchant banker wants, and AgentJi will build the controls underneath it. If a product is the goal and the specification exists, a dev shop is the cheaper route.
If the business runs on Tally, Excel and registers, and the question is what should run in the plant and who will keep it running, that is what AgentJi does. Judge it on the live board, not on this page.
See AI consulting and roadmap: a plan you can sign, then the people who build it.