Kiro Agent: three production deployments that actually shipped
Spot employee matching, incident management, product ops. AI agents in production — not demos.
By Eldridge Morgan on
Less than 5% of enterprise AI pilots reach production at scale. The demo impresses everyone, then the agent quietly dies in staging. Kiro Agent is our production runtime that bridges that gap. Three real deployments:
1. Spot employee matching
A staffing firm matching contractors to positions in real-time — across skills, availability, location, rate, and compliance. Too complex for static rules, too fast-moving for human review.
The Kiro agent streams postings, scores candidates against multi-dimensional criteria, surfaces ranked matches with reasoning. Approval gate before anything reaches the client.
Matching time: 4 hours → 12 minutes
Recruiter capacity: 3x more placements per head
Scales with job volume. Runs 24/7.
2. Incident management
An enterprise SaaS provider drowning in P2/P3 incidents. Engineers triaging more than resolving.
The Kiro agent ingests PagerDuty alerts, correlates with recent deployments and known issues, classifies severity, routes with full context. For P3s, drafts resolution based on similar past incidents.
Triage time: 45 min → 3 min
P3 auto-resolution: 40% (with human approval)
MTTR: 60% reduction
3. Product operations
A product team synthesising feedback across Intercom, NPS, Slack, and support tickets — weekly, not quarterly.
The Kiro agent clusters by theme, identifies emerging patterns, produces a structured brief linked back to source tickets.
