We run agents on LangGraph / CrewAI / our own framework — does this work?

Yes. The instrumentation is OpenTelemetry-based, so it sits underneath whatever orchestration framework you use.

What does "human-in-loop escalation" mean concretely?

A queue UI where flagged agent runs land for review, an approve/reject/edit interface, and a feedback loop that updates the eval set.

What about prompt injection?

Output schema enforcement + tool allowlists + escape-hatch prompts cover the common cases. Adversarial coverage is an add-on.

Services·automation

One-time engagement

Agent Ops

Keep your agent from burning $400 in a loop overnight.

For teams running multi-step agents in production. We build the trace inspector, failure replay, guardrails, budget caps, and human-in-loop escalation that keep agents from going off the rails. Two weeks to instrumented; four weeks to defensible.

from $7,500

3–4 weeks

LangSmithBraintrustOpenTelemetryTemporalInngest

Talk to Sage Have a question first?

Deliverables

Concrete artifacts you keep.

Every line below ships during the engagement. No “TBDs”, no slide-deck hand-waving — working code, written docs, and dashboards your team owns.

Tracing layer (OpenTelemetry-based, vendor-portable)

Replay tool — re-run any historical agent step with new code

Budget caps: per-run, per-user, per-day

Guardrails: max steps, allowed tools, output schema enforcement

Escalation UI + Slack/PagerDuty hooks

Runbook for the 5 most likely failure modes

What you walk away with

The outcome, not just the output.

Every agent run traced, replayable, and searchable
Per-run + per-day budget caps that actually fire
Guardrails for tool use, output format, recursion depth
Human-in-loop escalation with a real UI
On-call alerting when agents misbehave

Timeline

How the engagement runs.

1Week 1

Trace + replay

OpenTelemetry instrumentation, trace storage, replay tool. Every step searchable by user, time, tool, error.

2Week 2

Guardrails + budgets

Per-run / per-day budget caps. Tool allowlists. Output schema enforcement. Recursion / step limits.

3Week 3

Escalation + alerting

Human-in-loop queue UI, Slack/PagerDuty integration, on-call rotation hooks, runbooks for common failure modes.

4Week 4

Hardening + handoff

Load testing, failure injection, adversarial replay. Final handoff with on-call training session.

Sample deliverables

See the artifact, not the marketing.

Real shape, redacted content. Pick a tab to preview what ships.

Sample Audit Report

Twelve-page audit excerpt: scope, methodology, findings ranked by impact, and a prioritized fix list. Redacted.

Request after intro call

Sample provided after intro call · ask sage@sageideas.dev

How we reduce risk

Money-back if you're not happy in week 1

Reset the engagement before momentum builds. No invoices to dispute, no awkward email.

Async-first, weekly demos, no surprises

You see exactly what shipped each week. No status meetings to attend, no reports to chase.

Code is yours from day 1 — no lock-in

Your repo, your infra, your accounts. We work in your stack. You can take the work in-house at any time.

“Cut our flake rate from 12% to 0.4% in three weeks. The eval suite caught two regressions on day one of running in CI.”

Engineering LeadHead of Platform · Series B SaaS · 60 engineers

FAQ

Common questions

We run agents on LangGraph / CrewAI / our own framework — does this work?: Yes. The instrumentation is OpenTelemetry-based, so it sits underneath whatever orchestration framework you use.
What does "human-in-loop escalation" mean concretely?: A queue UI where flagged agent runs land for review, an approve/reject/edit interface, and a feedback loop that updates the eval set.
What about prompt injection?: Output schema enforcement + tool allowlists + escape-hatch prompts cover the common cases. Adversarial coverage is an add-on.

Ready to scope Agent Ops?

A 30-minute call to confirm fit, scope, and timeline. No pressure, no slides.

Talk to Sage All services

Average reply: 3 hours, business days