Turn Your GCC into an AI Delivery Engine
GCCs are sitting on AI mandates from HQ, talented engineering teams, and a backlog of POCs that stalled before production. We help you ship the ones that are ready.
POC Graveyard
Strong demos, nothing running in production
HQ Mandate
Pressure to show AI ROI without a clear roadmap
Governance Gap
IT and Legal won't approve without audit logs and escalation rules
Deployment Expertise
Engineers who can build a working demo but haven't shipped a production agent
The GCC AI Moment
GCCs are being asked to lead enterprise AI transformation for the parent company. That's not a burden, it's a real opportunity to reframe the GCC from cost center to the team that shipped something HQ couldn't. The ones making it work aren't running more POCs. They've built a clear path from use case selection to something that's actually running in production.
The gap isn't talent or ambition. It's the experience of getting a model past the CISO, through legal review, and into a monitored production environment. That's the gap we fill.
70%
of enterprise AI POCs never reach production. Governance gaps and deployment complexity are the two main reasons.
90 days
to move a validated POC into a monitored, production-ready agent with a full audit trail.
3–5x
ROI improvement when teams pick 2–3 use cases and ship them fully before expanding the program.
Our Three-Layer Approach for GCCs
Every GCC engagement runs through the same three layers. It's designed for GCCs that have to answer to HQ for both results and risk.
Layer 1: Advisory & Governance
Before anything gets built, we help you prioritize. Not every POC deserves to go to production. We work with GCC leadership to find the 2 or 3 use cases with the clearest path to ROI for the parent company, then build the governance framework that HQ legal, IT security, and compliance will sign off on.
- • Use case prioritization mapped to parent company business goals
- • AI policy and risk framework for multi-BU GCC operations
- • Center of Excellence structure: roles, ownership, and how decisions get made
- • Data governance and cross-border controls your legal team can actually approve
Layer 2: Build & Integrate
We build for production, not demos. Every agent we deploy connects to the enterprise stack your team already runs: SAP, ServiceNow, Workday, Salesforce. Everything runs inside the approval framework we set up in Layer 1, and your GCC team keeps full visibility and control.
- • Agents for IT ops, finance, HR, and support functions
- • Human review built in for decisions that need it
- • Integration with the enterprise systems the GCC already runs
- • Full audit trail and decision logging for parent company reporting
Layer 3: Operate & Scale
We handle monitoring, tuning, and incident response so your team isn't babysitting production. Monthly ROI reporting gives you the numbers you need to justify budget and headcount with HQ.
- • Agent performance monitoring and prompt tuning
- • Automated retraining when accuracy starts to drift
- • Monthly reporting on throughput, accuracy, and cost savings
- • Expansion planning: use case 2 starts while use case 1 is already in production
High-Value Use Cases by GCC Function
The highest-ROI AI use cases in a GCC aren't always the most technically interesting. They're the workflows your team handles hundreds of times a week without much variation.
IT & IS Operations
AIOps Incident Agents
Triages infrastructure alerts, checks runbooks, resolves L1 incidents on its own, and escalates L2 issues with the full context already attached. Your on-call engineers stop waking up for things that didn't need a human.
IT Knowledge Base Q&A
Staff type a question in plain English and get an answer from internal docs, SOPs, and system guides. Most tier-1 service desk tickets get answered before they're even submitted.
DevOps & Deployment
CI/CD Pipeline Agent
Monitors code commits, triggers builds, runs test suites, and gates deployments based on quality thresholds. If post-deploy metrics degrade, it rolls back automatically and opens an incident with the diff attached.
Production Monitoring Agent
Watches error rates, latency, and service health across environments, correlates anomalies with recent deployments, and pages the right team with context already attached. Engineers arrive at the problem, not the search.
Finance & Accounting
AP Automation Agents
Reads invoices, matches them to POs, flags anything that doesn't line up, and posts approved transactions. Exceptions go to a human. Everything else moves on its own.
Reporting Copilots
Pulls data from ERP and BI tools, writes the period-close commentary, and drafts the management narrative for the period-close pack. Finance leaders review and sign off rather than building from scratch.
HR & Talent
Recruitment Screening Agents
Reviews applications, ranks candidates against role criteria, schedules interviews, and keeps applicants updated. HR spends time on conversations, not coordination.
Onboarding Automation
Kicks off provisioning tasks across IT, payroll, and facilities the moment an offer is accepted. New hires show up with their accounts active and orientation materials already in their inbox.
Analytics & BI
Natural Language Data Querying
People ask questions in plain English and get answers from your data warehouse. No ticket to analytics. No waiting two days for a query.
Automated Report Generation
Weekly ops reports, monthly scorecards, board pack drafts: assembled and sent without anyone building them by hand.
Customer & Internal Support
Tier-1 Deflection Agents
Handles the repeatable queries that clog the queue: account status, policy questions, password resets. Support agents get to work on cases that actually need them.
Escalation Routing
Reads incoming cases, classifies by type and urgency, routes to the right team, and pre-fills context so the receiving agent isn't starting from zero.
POC-to-Production Accelerator
Most GCCs don't have a POC problem. They have a production problem. Getting from a working demo to something your parent company will approve and fund is harder than the demo. Here's how we do it.
POC Audit (1 week)
We go through your existing POCs and rank them: production viability, integration complexity, and business impact. You come out knowing what to ship first and what to put on hold.
Governance Sprint (2–3 weeks)
We build the controls, audit logs, escalation rules, and approval workflows your parent company's legal and security teams need to say yes. Nothing gets to production and then gets pulled back.
Production Deployment (6–8 weeks)
We build, connect to your systems, and go live with monitoring in place from day one. Your team works alongside us throughout so they own it when we're done, not after a handoff doc.
Operate & Report (ongoing)
Monthly reports on performance and cost savings, formatted for HQ. The kind of numbers that get the next phase approved.
AI Agent Use Cases for GCCs
GCC functions run on repetitive workflows that cross three or four systems and happen dozens of times a day. That's exactly where agents do their best work.
IT Incident Triage Agent
Watches infrastructure alerts, checks runbooks and recent change logs, and handles L1 incidents on its own. When something needs a human, it escalates with everything the on-call engineer needs already attached. Mean time to resolution drops without adding staff.
Finance Close Agent
Pulls data from ERP, works through the intercompany reconciliation, flags entries that need a controller's review, and writes up the period-close summary. What used to take a team two days takes a few hours.
Talent Acquisition Agent
Reviews every application against the role requirements, sets up interviews, keeps candidates updated, and hands hiring managers a ranked shortlist. Time to shortlist goes from weeks to days.
Let's figure out what your GCC can actually ship in the next 90 days
Whether you're trying to rescue a stalled POC or make the case for a larger AI program, start with a direct conversation about what you have today and what's realistic in the next 90 days.
Schedule a GCC AI Assessment