Applied AI for Enterprise Outcomes

Challenge

Manual document processing is slow, error-prone, and expensive. Information buried inside PDFs, emails, and scans creates bottlenecks.

Solution

• •Agents that classify documents, extract fields, and validate with business rules
• •Route exceptions, request missing info, and coordinate approvals with humans in the loop
• •Write back to systems of record, log decisions, and monitor quality

Value

Lower processing cost, higher accuracy, faster cycle times, and fewer backlogs.

Challenge

Alert noise overwhelms on-call teams. Diagnosis is slow because context is scattered across tools. Teams rely on scarce SMEs to find root cause.

Solution

• •Agentic AI workflows that investigate every alert and deliver root cause findings with evidence
• •Pull logs, metrics, traces, recent changes, and runbooks to surface likely root cause
• •Deliver investigation reports in Slack, recommend next steps

Value

Drastically improve MTTD & MTTR metrics with out-of-the-box integration with observability tools.

Challenge

Buyers don't trust isolated demos. It's hard to show measurable value quickly inside real customer workflows.

Solution

• •Deploy AI agents in customer cloud — specialized in integration, data access, and connectors
• •Forward-Deployed Engineers tailor the use case to real workflows with agentic AI
• •Instrument outcomes and deliver an executive-ready value report with ROI

Value

Shorter sales cycles, higher win rate, and faster deal closure.