For CIOs, CTOs and heads of AI

Find the work your centre should automate before it hires for it

HQ says India should lead AI, while the centre absorbs manual work from HQ and vendors. This scan estimates where automation fits in the functions you're moving, and where to prove it first.

  • Manual processes arriving faster than automation capacity.
  • AI pilots that never reach production.
  • Engineers waiting weeks for cloud access and pipelines.
  • No baseline to prove automation value to HQ.

Free tool · for CIOs, CTOs and heads of AI

AI Automation Opportunity Scan

An indicative range of capacity that automation could free up across your functions, and the best first PoC.

Headcount per function in your India centre (planned or current)

Capacity automation could free up

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On a 30-minute call we turn this into a costed discovery and PoC scope.

Assumptions and sources

The percentages are our planning ranges, not industry benchmarks. They come from the kinds of workflows in each function that are typically rules-heavy and high-volume enough for agents with human checkpoints. They exist to decide where discovery should look first. Real figures come from measuring your workflows against a baseline during discovery.

"Capacity freed" means full-time-equivalent effort that automation could absorb. Most GCCs redeploy it to new global mandates rather than reducing headcount.

The suggested first PoC is the function with the largest upper-bound opportunity. In practice we also weigh data access, process stability and risk appetite.

What we do for CIOs, CTOs and heads of AI

Our team has set up and scaled GCCs for global enterprises. Scutiger has built production software since 2014, and we use agentic AI in our own delivery every day.

Turn this into a costed discovery and PoC scope

Thirty minutes with a team that has set up and scaled GCCs. Bring your numbers and we'll bring the market data.

We reply with proposed call slots within one business day.