Hyderabad delivery centre — the engineering engine behind global programmes
Agentic AI, contact center AI and automation engineering pods in Hyderabad running build, cutover and 24×7 hypercare for US and European enterprises — under onshore architecture leadership and a single accountable delivery model.
Our India centre is a delivery engine, not an arbitrage play. Pods are staffed with platform-certified engineers on Amazon Connect, Genesys Cloud, NICE CXone, Five9, Kore.ai and Salesforce, and they work inside the client's repositories, cloud accounts and change process rather than in a parallel offshore backlog. The follow-the-sun model is what makes weekend cutovers, overnight regression runs and 24×7 hypercare practical: US and European architecture leadership sets the design and acceptance criteria; Hyderabad executes against it while the client's business day is closed.
Delivery footprint
Primary delivery centre — engineering pods, QA, LLMOps and managed run
Platform-certified engineers and data/integration specialists
Architecture, programme leadership and client accountability
- Coverage
- India · APAC delivery coverage · Middle East support
- Hours & languages
- IST engineering with overlap into US ET and European CET; 24×7 managed run. Languages: English, Hindi, Telugu.
What regulation changes here
These are the regimes that shape design decisions in India — not a compliance brochure, but the constraints we engineer against from the first workshop.
Consent, purpose limitation and breach-notification duties mapped for programmes processing Indian personal data, with data-principal request handling wired into the platform.
Offshore pods work on redacted or synthetic data by default; production data access is role-scoped, logged, and granted only where the client's residency terms permit it.
Named engineers, MFA and client-managed SSO, jump-host or VDI access where required, and quarterly access recertification.
Change management, code review, secrets handling and incident response aligned to the client's control framework; documentation available under NDA.
Evidence cluster
Production programmes with measured outcomes, delivered under the constraints above.
18% lift in right-party contact for a global BPO — agentic outbound collections
32% forecast-accuracy gain for a top-10 BPO — AI-driven workforce management
From 3% sampled QA to 100% coverage across a mid-market BPO — AI quality operations
62% faster MTTR on P1 incidents at a global tech firm — AIOps + agentic response
Access provisioning from 3 days to 11 minutes at a Fortune 500
Security questionnaires, controls documentation and named client references are available under NDA.
Research for this market
- Agentic AI for BPO Providers — A Practical Guide for Contact Center and Back-Office Outsourcers
A practical guide to agentic AI for contact center and back-office BPOs. Covers portfolio strategy, gain-share commercial models, agent-assist and autonomous voice, back-office IDP, QA and coaching — with the client-security, multi-tenant governance and delivery patterns BPOs need to protect and grow revenue.
- The AI operating model for enterprise scale
Pilots are cheap; portfolios are hard. This guide is how top-quartile enterprises structure the CoE, product squads, platform team and safety function that turns AI from a series of demos into a compounding capability.
- The BPO AI Margin Playbook
Seat-based BPO economics are compressing. This playbook is how AI-first BPOs stop the compression, expand margin on the book they already own, and win the AI-heavy RFPs their clients are now writing — without giving away the value in the pricing sheet.
Partner ecosystem in region: AWS · Microsoft · Genesys · NICE CXone · Kore.ai · Five9 · Salesforce.
India — questions buyers ask
- Where is Pronix.ai's India delivery centre?
- Hyderabad, Telangana. It is our primary engineering centre for agentic AI, contact center AI and automation delivery, covering build, QA, LLMOps and 24×7 managed run for US and European clients.
- How does offshore delivery stay accountable to a US or European programme?
- One accountable delivery model: a US or EMEA architect and delivery lead own the design, the acceptance criteria and the go-live decision, and the Hyderabad pod executes against them inside the client's repositories, cloud accounts and change process. There is no separate offshore backlog and no hand-off document between the two.
- Can offshore engineers access production or regulated data?
- By default they work on redacted or synthetic data. Where production access is required and permitted by the client's residency terms, it is role-scoped to named engineers, delivered through client-managed SSO with MFA and jump-host or VDI access, logged, and recertified quarterly.
- What does the follow-the-sun model change in practice?
- Cutovers and regression runs happen while the client's business day is closed, hypercare tickets raised at 2am local are worked immediately rather than queued, and a two-week sprint gets roughly one and a half business days of extra engineering time per calendar day of elapsed schedule.