Ship AI features your margins can survive.
Your AI features are now part of your product — and part of your cost of goods sold. Obsivara traces every model call behind every feature, attributes cost to the tenant that generated it, and flags reliability regressions before your customers file tickets.
What saas teams are up against.
AI COGS is eating gross margin
Every AI feature you ship adds inference spend that scales with usage, not revenue. Without per-feature and per-tenant attribution, you can't tell which customers are profitable — or which feature is quietly burning 40% of your model budget.
AI features fail differently
A broken AI feature doesn't throw a 500 — it returns something plausible and wrong. Traditional APM says everything is green while your churn-driving failure mode goes completely unmeasured.
Multi-tenant blast radius
One tenant's runaway agent loop or oversized prompt can degrade latency and spike costs for everyone. You need tenant-level isolation in your observability, not just in your database.
Where Obsivara goes to work in saas.
Per-tenant AI cost attribution
Break down every token and every model call by customer, feature, and plan tier. Know your true AI gross margin per account and price your AI add-ons from data, not guesswork.
AI feature reliability SLOs
Set health thresholds on your AI-powered features — summarization, search, copilots — and get alerted when quality, latency, or error rates drift below what your SLA promises.
Model swap economics
Compare candidate models against your real production traffic. See exactly what switching a feature from a frontier model to a smaller one saves — and what it costs you in quality.
Usage-based billing evidence
Back your AI usage metering with an auditable trace record. When an enterprise customer disputes their AI usage bill, show them the exact calls, tokens, and timestamps.
The features that matter most for saas.
SOC 2 questionnaires now ask how you govern AI subprocessors. Obsivara gives you a complete inventory of every model, provider, and data flow behind your product — with audit trails of every workflow change — so security reviews that used to stall enterprise deals close in days, not quarters.
Questions
Obsivara traces every LLM call and attributes token spend to the tenant, feature, and plan tier that generated it. You get per-customer AI cost breakdowns from day one — so you can price AI add-ons from real data, catch runaway usage before it spikes your COGS, and make evidence-based decisions about model selection.
Yes. Obsivara connects via its SDK, the OpenTelemetry (OTLP) protocol, or direct integrations with providers like OpenAI and Anthropic and frameworks like LangChain. Most SaaS teams are fully instrumented within a single sprint. See the full list at obsivara.com/connect.
Obsivara gives you a complete, auditable inventory of every model, provider, and data flow behind your AI features — including a versioned change history. This documentation is exactly what enterprise security reviews and SOC 2 AI-subprocessor questions ask for, and it's generated automatically rather than assembled by hand.