DeepSpeed AI identified, built, and governed automations that gave shared services leaders measurable time back while satisfying legal and audit requirements.
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 hrsQuarterly hours reclaimed across finance and procurement
- 3.4x ROIReturn on the first wave of automation pilots
- 98%Compliance checklist completion captured automatically
DeepSpeed AI deployed narrative insights that helped retail executives act on data in minutes while giving operators clear direction.
Challenge
Regional directors spent Monday mornings stitching together sales, supply chain, and customer sentiment updates. Leaders wanted one narrative briefing with anomalies, root cause, and owners.
Approach
- Interviewed executives and operators to define the three questions every briefing must answer.
- Connected narrative AI to governed Snowflake data with retrieval augmented prompts, anomaly detection, and confidence scoring.
- Delivered morning briefings in Microsoft Teams with one-click routing to task owners and store managers.
Outcomes
- Executives received a single briefing covering sales velocity, supply risk, and customer signals.
- Store managers got direct assignments with context and expected actions.
- Analytics team reclaimed 20 hours per week once manual reporting stopped.
- 10x fasterTime for executives to spot and act on anomalies
- 35%Increase in on-time store follow-through
- 0Number of spreadsheets required each Monday
DeepSpeed AI delivered a governance framework, tooling guardrails, and monitoring that let a global bank scale AI with confidence.
Challenge
Innovation teams were piloting AI copilots, but legal and compliance had no unified policy, prompting ad-hoc approvals and delays.
Approach
- Facilitated governance workshops with legal, risk, and engineering to codify policy pillars, approval workflows, and review cadences.
- Implemented prompt guardrails, access tiers, and logging directly in the AI tooling using private Azure OpenAI endpoints.
- Published monitoring dashboards in Datadog and ServiceNow GRC to track usage, exceptions, and retention.
Outcomes
- Organization-wide AI policy ratified by legal and communicated to business units.
- Centralized approval process reduced pilot lead time from 10 weeks to 3 weeks.
- Quarterly governance council established with automated reporting and evidence collection.
- 70%Reduction in time to approve new AI pilots
- 100%Pilots logging prompts, responses, and reviewer actions
- 6 weeksTime from kickoff to governance launch