Systems | Development | Analytics | API | Testing

[Finance Demo] - AgentSpot Use Case - Virtual Card Spend Oversight

Manually cross-validating virtual card data across disconnected systems was a constant pain, until the procurement team built an AgentSpot agent to do it automatically. This video showcases a Virtual Card Intelligence agent that pulls PO and requisition data from Google Drive, cross-validates it against Spend Flow, flags expiring cards and utilization risks across 30/60/90 day bands, and sends personalized Slack outreach to card owners. Plus a full 9-tab Excel report covering KPIs, expiry, utilization, and reconciliation. The best part? This is all done in just 4-5 minutes.

[Finance Demo] AgentSpot Use Case - Procurement Automation: PR Approvals & Virtual Card Management

The procurement team at ThoughtSpot built two AgentSpot agents to tackle manual, time-consuming workflows — and the results speak for themselves. Agent 1 – Coupa PR Approval Nudger: Automated purchase requisition reminders that once took hours of manual chasing in Coupa and Slack. Approval cycle time dropped from 6.62 days to 2.8 days. Agent 2 – Virtual Card Intelligence: Cross-validates PO and requisition data against Spend Flow to surface budget leakage, flag expiring cards, and send personalized Slack outreach to card owners. All without manual audits.

[AgentSpot Showcase Series] Using AgentSpot to Automate Weekly Customer Status Updates

Every week, ThoughtSpot Engagement Manager MJ Densmore used to spend up to an hour per customer manually pulling notes, digging through Slack, and checking Salesforce — just to write a status update. Now, AgentSpot does it all automatically, pulling from meeting notes, Slack messages, and support cases to generate a concise summary she can review and send in minutes. Watch to see how a quick, single prompt does the work of a full hour.

The Smarter Safety Net: Modernizing User Acceptance Testing (UAT) with AI

Every engineering leader knows the scenario: sprint tickets are closed, unit coverage shows green across the board, API pipelines pass without a hitch, and the build is tagged "ready for release." Yet, the moment the software reaches actual business users, reality hits. A multi-tier approval workflow breaks on a regional tax calculation. An enterprise customer encounters friction during a custom bulk checkout.

Outsourcing the IT department doesn't remove the governance problem, it relocates it

A business owner decides to stop managing IT internally and hire an outside provider instead. The thinking is straightforward: technology decisions were eating time nobody had, and a specialist can handle it better anyway.

Live Demo | Build a Reliable Data Foundation for Enterprise Analytics & AI

See how Astera turns data preparation and analytics into a conversational experience. Ask questions in plain language, prepare and analyze data, and turn the results into live dashboards without manually building every step. Astera brings structured and unstructured data into a governed data warehouse, then lets teams explore it through natural language. Every chart is traceable to its source, transformation steps, and underlying logic, so teams can validate how each answer was produced.

Build Invoice Automation Workflow with AI Agents | Astera ReportMiner

See how Astera ReportMiner uses AI Agents to build invoice automation workflows without the time consuming manual configuration. Upload your invoice requirements, and the Agent builds the workflow for extraction, transformation, validation, and delivery to your preferred destination. It shows each step as it works, so your team can review and verify the process before deployment. Once approved, the workflow can be scheduled to run unattended.

Building an Agentic SOC on a Stream

Modern Security Operations Centers (SOCs) are transitioning towards agentic architectures. Traditionally, SOCs relied on rigid, rule-based automation and high human effort. We built an Agentic SOC powered by AI agents that don't just follow rigid, hardcoded rules, but also autonomously investigate, reason, and act like human analysts.

Kong and Straiker: Runtime Security and Agent-Level Control for AI Agents

Kong AI Gateway already gives platform teams a central place to route, observe, and enforce policy across AI traffic. Security teams working alongside those platform teams often need another set of answers: Which agents are connected? Which attack paths actually succeed against them? What happened across the full session or tool chain? And if an agent is compromised, can its next action be stopped before it reaches an enterprise system? The integration is designed to be complementary.