Practical notes from the engineers who build agents, copilots and AI products.
Collections voice agents make compliant reminder calls, negotiate only within rules you set, send payment links mid-call and log promise-to-pay outcomes, freeing collectors for the accounts that need judgement. Here is what works, the conduct rules and how to run it.
A booking voice agent checks live availability, books, reschedules and confirms by SMS during the call, in the caller's language, and hands off when a request is out of scope. Here is how it works for hospitals, clinics and salons, what it changes for the front desk and what to watch.
Deflection counts customers who gave up before reaching a person; resolution counts problems solved. Measure auto-resolution by intent, CSAT on AI-handled conversations and escalation reasons, and the number that goes on the board will be one the CFO and the customer both believe.
An AI discovery sprint costs $3,250 or ₹2,00,000 at Eazyware: a fixed price for ten working days, credited against your next build. That figure buys a decision, not a prototype. Where a vendor quotes materially more, the difference is almost always scope.
A customer service agent resolves tickets by reading the customer's account, acting within policy and escalating with context, not by pointing at FAQs. Here is how one is built, how it is launched safely and what resolution actually looks like on a dashboard.
Zero downtime needs feature switches, rehearsed rollbacks, business sign-off per slice and cutovers outside critical windows. Plan it as many small reversible switches rather than one event, keep old and new running side by side with data in step, and have a business owner decide go or no-go on written criteria.
Zero egress means models, vector stores and logs inside your network, with private-first routing and no public fallback for sensitive data. It is enforced by network policy, not by a vendor contract, and done properly it covers inference, retrieval, observability and the developer tooling around them.
Clients own code, infrastructure, prompts and weights on payment; our pre-existing tools are licensed inside the deliverables. Nothing we build for you is rented back to you, nothing lives only in our accounts, and the handover pack is designed so another team could run and change the system without calling us.
Expect fixed prices in USD, overlap hours, a named lead, weekly demos and ownership of everything delivered. A good Indian AI partner runs the engagement on your calendar: a shared window every US morning, decisions made in the weekly demo, and code, prompts, models and infrastructure handed over in your accounts.