Practice · Operations & Shared Services
From ticket queues to exception queues.
Shared services were built to centralize manual work. The next operating model removes it: agents running order-to-cash, procure-to-pay, and service workflows end to end, with your team owning the exceptions worth human judgment — and the cost curve finally detached from transaction volume.
What we run
The processes that fill a shared-service center's day.
Order to Cash
Order intake, billing, collections, disputes, and cash application run continuously — touchless through the routine, escalating only what needs a decision.
Procure to Pay
Requisition to payment with intelligent matching, fraud screening, and embedded controls — the high-volume work agents take over first.
HR & Employee Services
Onboarding, queries, and case management resolved by agents with policy knowledge — people handle the cases that need empathy or exception.
IT Service Operations
Incident triage, request fulfillment, and access management automated end to end, with AIOps watching the estate around the clock.
Master Data Management
Vendor, customer, and material data created, validated, and maintained by agents against governed rules — the substrate everything else depends on.
Service Management & GBS Design
The target operating model for a Lights-Out shared-service organization: what agents run, what people own, and how the handoff is governed.
The economics
Cost detached from volume. Quality detached from headcount.
Labor-arbitrage shared services bought a discount on manual work. Autonomy removes the work. The result is a function that scales with guardrails rather than recruitment — and a team redeployed from processing to governing.
One integrated offering · The agents that run it
Run by agents. Engineered with you.
The operating model and the agents are one deployment, not two. The same team that designs your Target Operating Model puts these agents on the runbook, operate them with you through the autonomy ramp, and transfer ownership when the function runs itself — outcome-priced, with every action on the Evidence Ledger. Built to leave.
Start the conversation
A one-hour briefing. Your function, mapped to the stack.
We come with a point of view on where autonomy pays in your operation — and where it does not.