Enterprise AI consulting · Mumbai, India
Enterprise AI that ships to production.
I help Indian enterprises move from AI pilots to dependable, secure AI in daily work — generative AI assistants, private LLMs on your own servers, AI inside your intranet, ERP and CRM, and the governance that keeps it safe. Two decades of enterprise software experience, now focused on making AI pay for itself.
of Indian organisations have already implemented agentic AI, and close to 50% more plan to within 12 months.
Source: IDC InfoBrief sponsored by UiPath, reported Aug 2025projected AI technology spending in India by 2028, growing about 38% a year.
Source: IDC, reported Dec 2025of Indian organisations cite the lack of skilled in-house IT talent as the top risk when implementing AI agents.
Source: IDC–UiPath, 2025What I deliver
Enterprise AI consulting services
Pick one area or engage end-to-end. Every engagement starts with business value, not with a model.
AI strategy & readiness assessment
Map processes, data and systems; find the 5–10 use cases with the clearest ROI; produce a costed 90-day roadmap your board can approve.
Generative AI & LLM applications
Copilots for sales, support, HR and operations built on GPT, Claude, Gemini or open models — integrated with the tools your teams already use.
RAG knowledge assistants
“Chat with your documents” — policies, SOPs, contracts and manuals answered with citations, respecting each user’s access rights.
Private & self-hosted AI
Run open-source LLMs on-premise or in your own cloud when data cannot leave the building — ideal for banking, government and healthcare.
AI in intranet, ERP & CRM
Bring AI search, summaries and assistants into your intranet, ERP, CRM and approval workflows — including our own Creative Social Intranet.
AI governance, security & DPDP
Usage policies, model risk reviews, prompt-injection safeguards, audit logs and alignment with India’s Digital Personal Data Protection Act.
Method
From idea to production in five steps
Discover
Workshops with business owners; audit of data, systems and security constraints.
Prioritise
Score use cases on value, feasibility and risk; agree success metrics.
Pilot
A working proof of value with real users in 4–6 weeks.
Scale
Harden, integrate, optimise cost and speed, train teams.
Govern
Monitoring, evaluation, guardrails and continuous improvement.
Use cases
Where enterprise AI pays off first
| Function | AI use case | Typical benefit |
|---|---|---|
| Customer support | AI assistant on web & WhatsApp with hand-off to agents | Faster first response, 24×7 coverage |
| Sales & marketing | Lead qualification, proposal drafting, personalised content | More time selling, consistent messaging |
| Finance | Invoice and document extraction, reconciliation, anomaly alerts | Fewer manual entries and errors |
| HR & internal comms | Policy Q&A bot on the intranet, onboarding assistant | Fewer repetitive HR queries |
| Operations & procurement | Vendor onboarding, CapEx/OPEX approvals, report summaries | Shorter approval cycles |
| Leadership | Natural-language dashboards and board-pack summaries | Quicker, better-informed decisions |
Why work with me
An enterprise builder, not a slide-deck AI advisor
- 20+ years in enterprise software — portals, intranets, approval workflows and e-commerce for corporates, banks and government.
- Performance & UX first — AI features that are fast, intuitive and adopted, not abandoned after the demo.
- SaaS-to-self-hosted expertise — keep sensitive data on infrastructure you control.
- Vendor-neutral — OpenAI, Anthropic, Google, Microsoft or open-source, chosen on fit and cost.
- Builder’s team behind me — delivery through Creative Web Mall India Pvt. Ltd.
- Hands-on with applied AI — mentor of a World Robot Olympiad team whose AI-powered trash sorter won a Gold badge at the 2024 Nationals.
FAQ
Enterprise AI consulting — common questions
What does an enterprise AI consultant do?
An enterprise AI consultant identifies where AI can create measurable value, chooses the right models and architecture, builds or oversees a pilot, integrates it with existing systems such as ERP, CRM and intranet, and sets up the security and governance needed to run it at scale.
How much does AI consulting cost in India?
Cost depends on scope. A focused AI readiness assessment is a short, fixed-fee engagement; a production pilot is typically priced per use case; ongoing support is a monthly retainer. You get a written estimate after a free discovery call.
Can we use AI without sending our data to the cloud?
Yes. Open-source large language models can run on your own servers or private cloud, so documents and customer data never leave your environment. This is often the right choice for banks, government bodies and healthcare organisations.
How long does it take to launch a first AI use case?
A well-scoped pilot with real users usually takes four to six weeks, followed by hardening and rollout. Most of the time goes into data access, integration and user adoption, not the model itself.
Which AI models and platforms do you work with?
I am vendor-neutral: OpenAI GPT, Anthropic Claude, Google Gemini, Microsoft Azure AI and open-source models such as Llama, Mistral and Qwen, plus orchestration frameworks and automation platforms. The choice is based on accuracy, cost, latency and data-residency needs.
Do you work with companies outside Mumbai?
Yes. I am based in Mumbai and regularly work with clients in Navi Mumbai, Thane and Pune, and remotely with organisations across India and abroad.
Related
Keep exploring
Free 30-minute AI readiness call