Illustrative case study
Shared Services Automation Returns 1,200 Hours Per Quarter
Hypothetical composite scenario
Northwind Shared Services · Professional Services
DeepSpeed AI identified, built, and governed automations that gave shared services leaders measurable time back while satisfying legal and audit requirements.
This page is a composite example built to illustrate the type of engagement, workflow, and outcome targets a team may pursue. It does not describe a named customer deployment.
- Process mining
- LangChain
- Azure OpenAI
- ServiceNow
- Power Automate
Challenge
A 200-person shared services team processed vendor onboarding, contract routing, and reporting by hand. Legal demand for audit trails meant automation felt risky, yet leaders needed hours back immediately.
Approach
- Ran an AI Workflow Automation Audit across finance, procurement, and legal to map candidate processes with time-on-task evidence.
- Built governed automations that generated draft emails, routed approvals, and logged every prompt, response, and decision inside ServiceNow.
- Launched enablement sessions and dashboards so leadership could see hours returned and exception queues under control.
Outcomes
- Automation backlog prioritized by ROI, risk, and compliance readiness.
- First three pilots deployed with audit trails and human-in-the-loop approvals.
- Vendor onboarding cycle time dropped from 9 days to 3 days without additional headcount.
1,200 hrs
Quarterly hours reclaimed across finance and procurement
3.4x ROI
Return on the first wave of automation pilots
98%
Compliance checklist completion captured automatically