Hemant Lamba Named Chief Business Officer At Aionos

Aionos has appointed Hemant Lamba as chief business officer, with global responsibility for the company's growth and business strategy.
- Company: Aionos
- Role: Chief business officer, global
- Previously: CEO, Inetum Solutions
- Remit: Sales across all regions and industries, enterprise clients, alliances and partnerships
What Hemant Lamba Has Been Hired To Do
Sell the whole company rather than parts of it. The brief covers sales across every region and industry, enterprise client relationships, and alliances and partnerships, and the stated intent is to bring the full portfolio to clients as a single offering rather than as separate practices.
That is a structural job as much as a commercial one. Where industry expertise, platforms and delivery sit in different parts of a business, the account team usually sells whichever is nearest.
The Record
More than 30 years in technology services and large-scale digital transformation. Most recently at Inetum as chief executive of Inetum Solutions, leading an organisation of 7,000 people and building a next-generation services business that combined sector expertise with AI-led propositions.
Before that, senior leadership roles at Infosys, Accenture, IBM and Cognizant, running strategic sales and large deals and leading turnarounds and growth across Europe, North America and Asia-Pacific. It is a record built on the large enterprise deal, which is the shape of business the new employer is chasing.
Why The Timing Reads
Aionos framed the appointment around a shift it says is under way in its market: organisations moving AI out of pilots and into production, with demand growing for what the company calls enterprise-grade, AI-native services. The company said Lamba has built and scaled global technology businesses and earned the trust of enterprise leaders across geographies, and will lead growth, deepen client and partner relationships and take the company into new markets.
Lamba's own framing was narrower and more operational: that enterprises moving from experimenting with AI to embedding it need partners who can make it work inside the business, securely and at scale.
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