For VP of Engineering

Know what your team shipped. Fix what's costing you.

Your team is building AI features faster than you can track them. Oculis gives you a live inventory of every agent across every environment — with cost, health, performance, and error data in one place.

“I need to know what my team built, how it's performing, and where we're wasting money.”

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What You'll See

The dashboards you'll open every week.

Oculis ships with four views that matter to an engineering lead: inventory, performance, cost, and incidents.

Agent Inventory

Every agent your team has deployed — prod, staging, dev, or running on a laptop — catalogued with its host, last-run timestamp, framework, and owner.

Find shadow agents nobody told you about
Tag by team, service, environment, or product
Export a CSV for your next architecture review

47 agents found 12 yours · 23 other teams · 12 untagged

research-assistantyour team

invoice-classifieryour team

data-pipeline-v2untagged · laptop-7d4e

support-triageproduct team

+ 43 more

Performance & Latency

See where agents are slow, failing, or eating retries. Percentile latency, success rate, and error breakdowns per agent — from the last hour, day, or month.

p50/p95/p99 latency per agent & per model
Error classification: timeouts, rate limits, context overflow
Retry overhead quantified as wasted tokens + dollars

research-assistant

94%

invoice-classifier

67%

support-triage

99%

content-drafter

42%

Success rate · last 7 days

Cost Per Agent

Know which agent is costing $3,000 a month — and whether that's justified. Get optimization recommendations with projected savings before you touch code.

Model-swap suggestions with dollar-denominated savings
Duplicate agent detection (two teams doing the same job)
Cache hit rate per agent — find the ones that should cache more

Save $420/mo on research-assistant

Switch to claude-3-haiku for 87% of runs. Quality delta: <2%.

Duplicate: summary-v1 + summary-v2

Running on same input, different team. Consolidate to save $180/mo.

Incident Routing

When an agent breaks, Oculis knows who to page. Wire alerts to on-call schedules, Slack channels, or webhooks — with cooldowns and escalation so your team isn't drowning in noise.

Route by agent owner, team, or severity
Cooldowns prevent the same alert firing 50 times
PagerDuty + on-call integration (coming soon)

CRITICAL 2 min ago

invoice-classifier · 12x failure spike

Errors: rate_limit (87%), timeout (13%) · Runs: 234

Routed to samson@selaware.ai · #alerts-ai

Acknowledge Open run trace

What You Can Do

From insight to action in one loop.

Four moves that Oculis unlocks for engineering leadership.

Audit every agent

Run a quarterly review with a single CSV export. Retire what's not being used. Consolidate what's duplicative.

Cut 30% of AI spend

Apply the model-swap recommendations Oculis surfaces. Typical first-month savings for teams running $5k+/mo in LLM calls.

Catch failures in minutes

Your classifier broke at 2am. Oculis paged the right engineer before the on-call inbox filled with customer complaints.

Build with confidence

Ship AI features knowing you'll see cost spikes, failures, and anomalies before your customers do. No more surprises on the invoice.

Related Capabilities

The platform pieces that matter for you.

Want the deep-dive? Jump to the capability sections most relevant to engineering leadership.

Ready?

See Oculis in your stack.

30-minute demo. Bring your team. We'll install the collector on a test host and find your first shadow agent together.