Capgemini Finalises WNS Acquisition to Lead in Agentic AI Operations
Capgemini has completed its USD 3.3 billion acquisition of WNS, positioning the combined company as a leader in Agentic AI-powered Intelligent Operations. The deal is built to rework end-to-end processes with AI agents, platform automation, and industry-specific workflows.
The acquisition was announced in July 2025 at USD 76.50 per WNS share, excluding net financial debt. To fund the transaction, Capgemini issued €4.0 billion in bonds in September. WNS will be consolidated into Capgemini's accounts from October 17, 2025.
Leaders' View
Aiman Ezzat, CEO of Capgemini: "By combining Capgemini's global reach, strategy and transformation capabilities, technology and AI leadership with WNS's industry expertise and platforms, we are uniquely positioned to help our clients reinvent their business processes end-to-end."
Keshav R Murugesh, CEO of WNS: "The next wave of transformation will be driven by intelligent, domain and industry-centric operations, delivering efficiency and agility through hyper-automation for superior business outcomes."
Why this matters for Operations
- Agent-first workflows: Expect AI agents to take on triage, decisioning, and handoffs across finance, customer ops, risk, and supply chain.
- End-to-end accountability: One partner across strategy, data, platforms, and managed services simplifies governance and improves time-to-value.
- Industry depth: WNS's domain platforms combined with Capgemini's tech stack should accelerate use-case rollout in BFSI, healthcare, travel, logistics, and retail.
- Outcome orientation: More contracts will tie fees to KPIs like cost-to-serve, cycle time, NPS, and first-contact resolution.
Where Agentic AI will hit first
- Order-to-Cash: Agent-led credit checks, promise-to-pay, dispute coding, and dunning across systems.
- Procure-to-Pay: Touchless invoice processing, 3-way match exceptions, supplier onboarding, and catalog hygiene.
- Customer Operations: Intent detection, guided resolution, knowledge synthesis, and proactive outreach.
- Claims, KYC, and Compliance: Document understanding, case triage, risk scoring, and audit trails with policy guardrails.
- Supply Chain: ETA risk alerts, stock rebalancing decisions, and automated supplier follow-ups.
What changes for clients
- Platform consolidation: Fewer point tools, tighter integration across RPA, LLMs, decision engines, and data platforms.
- Controls and guardrails: Stronger model governance, prompt security, PII controls, lineage, and human-in-the-loop checkpoints.
- Data readiness becomes the bottleneck: Clean interfaces, policy-mapped datasets, and event streams will determine rollout speed.
- Pricing models evolve: Expect a blend of subscription, usage, and outcome-based fees; plan budgeting accordingly.
Action checklist for Operations leaders
- 30 days: Map your top 10 process pain points with clear KPIs; confirm data access, system owners, and compliance constraints.
- 60 days: Launch 2-3 agent pilots with tight scopes and sharp success criteria; define escalation rules and exception budgets.
- 90 days: Standardize prompts, policies, and monitoring; stand up an AI ops control tower for observability, rollback, and audit.
- Contracts: Push for outcome clauses tied to measurable targets and transparency on model updates and data use.
- People: Upskill team leads on agent orchestration, data quality, and change management to avoid stall-outs.
Scale and context
Capgemini now operates with a workforce of about 350,000, including 180,000 employees in India. It reported 2024 revenues of €22.1 billion, placing it as Europe's second-largest IT services company after Accenture.
This move extends Capgemini's expansion path following deals including Cloud4C and Delta Capita, widening its mix of cloud, data, and industry platforms for AI-led operations.
Useful links
Your membership also unlocks:
