Track what happens after deployment.
AI agencies ship fast and lose visibility faster. Superhawk tracks implementation milestones, post-deploy adoption, model performance, and the signals that say “ready for phase 2” — across every client engagement.
From deployment to expansion. Nothing lost in between.
Implementation milestones, tracked
Every deployment phase tracked per client. Stalls caught within hours. FDE and CSM share one view.
8
Phases
<4h
Stall detect
FDE + CSM
Views
Post-deploy adoption signals
API call volume, error rates, model eval pass rates, user adoption curves. Not just 'is it live' but 'is it working.'
14
Metrics
60s
Refresh
6+
Sources
Phase 2 readiness detection
Usage scaling, new use cases emerging, team expansion signals. Superhawk drafts the 'ready for phase 2' conversation.
11
Signals
21d
Avg lead
2x
Conv. lift
Built for the agentic stack.
Native integrations with LangSmith, Langfuse, Arize, and Datadog LLM Monitoring. Trace analysis, silent failure detection, and latency monitoring — so you know when a deployment is drifting before your client does.
3x
Fewer handoff gaps
42%
Faster implementation
2x
More phase-2 conversions
100%
Client engagements tracked
See Superhawk for AI agencies.
Track every client engagement from deployment through phase 2 — and never lose visibility again.