Q2-FY26 · Nitan Rakesh
We've also had solid traction in our AI archetypes including AI ops, modernization, and data. 42% of TCV wins in Q2 are led AI with further room to expand this metric.
MPHASIS / language trends
Read confidence between the lines.
Mphasis · tone and specificity signals across the available quarters.
Research layer active
Language signals
What changed in management language.
tracked
Q2-FY26 · Nitan Rakesh
In the first half of FI26, we won approximately 1.3 billion of TCV, which is more than the full year TCV wins in FI25. On a last 12 month basis, we have now closed over 2 billion in TCV.
Q2-FY26 · Nitan Rakesh
This naturally means that there is certain amount of delinkage between revenue growth and headcount growth which again we've been seeing for the last few quarters.
Q2-FY26 · Arvan Vishwanathan
Our focus for the last 12-18 months really has been on strengthening our propositions, creating this repeatable construct through the IP platform, embedding it into our propositions, running multiple MVPs with customers to validate this thinking.
Q4-FY26 · Nitin Rakesh
AI does not primarily create value by upgrading systems. It creates value by upgrading work.
Q4-FY26 · Nitin Rakesh
We are also seeing a decisive move from experimentation to scale deployment.
Q4-FY26 · Nitin Rakesh
The pass through to clients is very measured and structured... a meaningful portion of the productivity gain has to be used and offered in additional automation or AI layers.