What we deliver
AI Transformation & Agentic Automation
HQ wants India to lead AI. Meanwhile the centre still runs large numbers of manual finance, HR, risk and operations processes. We map the costliest workflows, prove automation on one in weeks, and scale it into a governed, multi-function programme.
Make the India centre the place AI actually ships
What the GCC actually needs
Most GCCs are asked to "lead AI" while still absorbing manual work transferred from HQ and vendors. The gap is rarely ambition. It is a lack of measured, production-grade automation that risk and audit teams will sign off.
Who buys it
Where it fits
Typically t+6 to t+18, t+12 to t+36, mature relative to launch. See the lifecycle.
How it's fulfilled
Delivered by Scutiger engineers using our agentic delivery model.
What we deliver
Process discovery that ends in numbers
We interview process owners, mine tickets and logs, and rank the 20 highest-cost manual workflows by volume, effort, error rate and automation fit. The output is a costed backlog, not a maturity slide.
A working PoC in weeks
One workflow, e.g. reconciliation, invoice exceptions, onboarding queries or L1 incident triage, is automated end-to-end with agents, evals and human checkpoints. Savings are measured against the baseline.
From PoC to programme
Proven patterns roll out function by function on a shared platform with audit trails, so the tenth automation is cheaper and safer than the first.
What this covers
- Finance: reconciliation, reporting, invoice exceptions
- HR: onboarding, policy and employee-support agents
- Procurement: supplier onboarding, contract extraction, RFPs
- Engineering: coding agents, test generation, incident triage
- Risk: evidence collection and controls testing
- Security: alert triage and investigation assist
- Customer ops: agent assist, QA, conversation analysis
- Legal: contract review and obligation extraction
- Data: metadata generation and pipeline debugging
- IT helpdesk: autonomous L1/L2 resolution
Engagement shape
Fixed-scope process discovery plus one PoC, priced as a single package. A successful PoC converts into a programme with quarterly outcome targets.
Questions about ai transformation
Where do GCCs usually start with AI automation?
In functions with high volume, clear rules and measurable cycle times: finance reconciliations, invoice exceptions, HR onboarding queries and L1 IT or security triage. These pay back fastest and build the audit trail that riskier use cases need later.
How long does a discovery and PoC take?
Discovery typically takes two to three weeks. The PoC on the top-ranked workflow follows in four to six weeks, measured against a baseline taken during discovery.
Will automation reduce the headcount our GCC business case relies on?
It changes what headcount does. Most GCCs use automation to absorb new global mandates without proportional hiring, rather than to cut existing teams. We model both scenarios so HQ and the India leadership agree on the story before rollout.
How do you keep agents safe in regulated processes?
Every agent runs behind evals, permission boundaries and human checkpoints, with a full audit trail. See our security and AI governance service for the control plane we deploy alongside automation.
Talk to us about ai transformation
Tell us your stage, city and timeline. Our team has set up and scaled GCCs for global enterprises, and we'll come to the call with a view on your centre.
We reply with proposed call slots within one business day.