Introduction
For decades, Wipro, like other Indian IT services firms, has earned most of its revenue by selling people: engineers and specialists billed by time or through fixed-price projects. Generative and agentic AI threaten that model because AI can do more of the work with fewer people. At the same time, Wipro has built a suite of AI platforms under Wipro Intelligence, including WEGA (an agent-native AI delivery platform) and WINGS (AI agents for IT run operations), and industry analysts have recognised Wipro as a leader in "services-as-software", where outcomes are delivered by software and agents rather than headcount. The question asks whether Wipro should package Wipro Intelligence platforms as outcome-priced services-as-software instead of selling people-based projects. I'll clarify, analyse the market, define vision and roadmap, prioritise, plan execution, set KPIs and manage risk.
Business model questions are about who captures value. Explain how revenue, cost and risk shift under each model, then recommend where and how fast to move, rather than an all-or-nothing switch.
Step 1
Clarify the Strategic Goals (3-4 minutes)
- Goal: Protect and grow revenue as AI reduces effort, improve margins and differentiate from peers.
- Scope: Services where outcomes are measurable and repeatable: IT service desk, infrastructure operations, application maintenance, testing, finance and accounting operations, claims and customer service.
- Time horizon: Three to five years.
- What "outcome-priced" means: Pricing per outcome (per ticket resolved, per invoice processed, per claim settled) or gain-sharing on savings, rather than per person or per hour.
- Constraints: Existing contracts, client procurement habits, revenue recognition and Wipro's need to show steady quarterly results.
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