Practical notes from the engineers who build agents, copilots and AI products.
Modernise the enterprise layer and replace only at the edges. A manufacturing estate is not one system, and the components age at different rates. Wrapping the ERP while replacing shop-floor clients and spreadsheets is usually the right shape; replacing everything at once is the recognisable failure mode.
Manufacturing AI compliance splits across three zones. On the shop floor, worker personal data under the DPDP Act and network segmentation govern what leaves the plant. In enterprise systems, customer confidentiality on drawings governs what reaches a model. Exported machinery brings the EU AI Act.
Modernise incrementally in almost every case. A SaaS platform has paying tenants on live contracts and no maintenance window, so a full replacement means running two products at once. Replacement is right only when the runtime itself is unsupportable or the tenancy model cannot be retrofitted at any sensible cost.
Hire in Bangalore when AI is a permanent capability with years of roadmap behind it. Use an agency when you need a specific system shipped on a date. The city has the deepest AI talent pool in India and the fiercest competition for it, so a first hire typically takes three to six months to become productive.
No single regulation governs AI in SaaS. You inherit obligations from your customers: India's DPDP Act, UK and EU GDPR, the EU AI Act for certain uses, sector rules that reach you through regulated clients, and contractual commitments in your DPA. Architecture, not policy documents, is what satisfies them.
A scoped AI project for a Delhi NCR business runs from ₹2,00,000 for a ten-day Sprint Zero to ₹28,00,000 and upwards for a full platform. Eazyware's published prices apply nationally: the drivers that move your number are data condition, integration count, deployment mode and how often the system must be right.
Mumbai has India's deepest concentration of financial services and a comparatively thin pool of applied AI engineers, most of whom are already inside banks or funds. Hire when AI is a standing capability and you can pay Mumbai rates. Use an agency when a regulated system has to ship to a supervisory date.
Choose on evidence, not proximity. Ask every Delhi NCR shortlist for a system running in production, the evaluation numbers behind it, a written price and a contract that hands you the code, prompts and infrastructure. A firm that cannot produce all four in one meeting is selling a pilot.
Decide by the shape of the work. A single defined system is an agency job; a standing platform that changes every month is a hiring job. In Hyderabad the deciding factor is rarely budget, it is whether your offer can win against the captive centres in HITEC City and the Financial District.