AgentLens — Know if your AI features are actually workingShare Dashboard

AI Feature Intelligence<br>Your AI features<br>look fine. They're not.

AgentLens shows you what's actually happening inside every AI interaction — for every customer — before it becomes a churn conversation.

ai-report-gen has a 54% abandon rate.<br>It's been that way for 6 weeks. Your uptime monitor showed green the entire time.<br>See the Product view →

3 accounts are in silent AI struggle.<br>2 renew in under 90 days. They haven't raised a support ticket. They're just quietly giving up.<br>See the CS view →

You doubled investment in ai-report-gen.<br>Based on click volume. Those clicks were retries. Your users were telling you something was wrong.<br>See the Product view →

Request early access →Free tier available · No credit card required · SDK ready Q3 2026

Why existing tools miss this<br>Your current stack wasn't built for AI features

Product analytics (Amplitude, Mixpanel)<br>Track clicks and funnels. When a user clicks your AI feature and gets a bad output, they log one event: a click. The abandon, the frustration, the silent decision to stop trusting it — invisible.

Observability tools (Datadog, New Relic)<br>Monitor infrastructure and uptime. They told you everything was green for 6 weeks while 54% of ai-report-gen interactions were ending in abandonment. Uptime is not quality.

CS platforms (Gainsight, ChurnZero)<br>Track logins, NPS, support tickets. Forthright Analytics logged in every day for 3 weeks after silently giving up on your AI features. Their health score showed green. They renew in 31 days.

Yes, you can configure these tools to track some of this. But they aggregate across all customers. AgentLens is account-level by design — because the customer who churns isn't in your averages.

How AgentLens works<br>One SDK. Two views. Zero blind spots.

Install the SDK<br>One npm package. Wrap your AI calls. Takes 10 minutes. Works with OpenAI, Anthropic, or any custom model.

Interactions captured in real-time<br>Every AI interaction logged instantly — input fingerprint, output quality signals, latency, and what the user did next. No raw prompts or outputs stored.

Your teams get the right view<br>Engineering sees feature quality and regressions within hours. CS sees per-account health, silent struggle flags, and QBR briefs every morning.

Real-time for engineering. Daily digest for CS.<br>Alerts that match how each team works

Engineering alerts — real-time<br>The day 8 prompt update that collapsed ai-report-gen quality? AgentLens would have fired an alert within 2 hours — not 6 weeks later when a customer finally complained. Quality threshold breaches, abandon rate spikes, and latency degradation surface the moment they happen.<br>🔴 Fires within 2 hours of threshold breach

CS digest — every morning<br>Every morning, your CS team sees exactly which accounts had AI struggles overnight, which health scores changed, and which renewals need attention today. No manual report pulling. No Salesforce queries. Just the accounts that need action — ranked by urgency.<br>📬 Delivered to Slack at 9am daily

6 accounts monitored·2,251 interactions tracked·£61k ARR at renewal risk<br>Built for SaaS teams who ship AI features and want to know if they're actually working.