AI DevOps engineer — plans, executes, verifies, owns the receipt

The AI DevOps engineer
that proves its work.

SnapFlow turns a plain-English request into a governed, verified, reversible infrastructure change — provisioning, deploys, monitoring, incidents. It does the repetitive ~95%. Your team keeps ownership and the final say.

Not another assistant that hands you a script. SnapFlow runs the change, proves it worked against your real cloud, and bills only for what it delivered.

Request early access ↗ See how it works
Mission receipt · #M-08213 ✓ Verified
Frozen (escrow)$18.40
Charged$14.20
Refunded$4.20
Provisioned redis-staging-cluster, sg-0a13ff, iam-role-cache — 3 resources, verified against AWS
Verification: proved against cloud
Hash: sha256:9f2a…e71c

The gap

AI can write the infrastructure.
It can't be trusted to run it.

Every real change forces the same five questions: what should change, where, what could break, how do we roll back, and who gets paged. Today those answers live in one senior engineer's head, a wiki nobody trusts, and a 2 a.m. Slack thread.

"Here's a script"
is where most AI coding tools stop. They don't run it safely, prove it worked, price it fairly, or own the outcome.
Trust vs. scale
you're left choosing between automation you can't trust and manual toil that won't scale.
Intent → receipt
SnapFlow closes the gap: a plain-language request in, a verified, reversible change out — with a receipt.

One system, end to end

Plan → deploy → verify → monitor → rollback.
One vocabulary, one audit trail.

Point tools cover one slice — provisioning, or monitoring, or incident response. SnapFlow runs the whole lifecycle of a change as a single governed mission, so verification feeds settlement, monitors feed auto-rollback, and incidents write their own postmortems. The integration is the product.

Intent
→
Cortex plans
→
Pre-flight gate
→
Human approval
(if risky)
→
Isolated execution
Proof-carrying verify
→
Deliver-based settlement
→
Tamper-evident receipt
→
Post-deploy watch
→
Auto-rollback on incident
A state machine, not a loose agent. The plan locks into a durable checkpoint. Every step advances predictably and survives restarts — what makes a run auditable, and safe to bill against.
Verification is the gate that charges. A mission counts as done only when the result is proven. Everything else is refunded or partially charged. Trust is enforced structurally, not promised.

Why it's defensible

Five things most AI ops tools
structurally can't do.

Not a feature list — a trust-and-data flywheel. Each of these compounds into the next.

1
Proof-carrying verification
Outcomes are checked against your live cloud — real resource identifiers in the trace — not the model's self-report.
2
Deliver-based settlement
Charged for delivered work, refunded automatically when SnapFlow is at fault. Only possible because verification is real.
3
A compounding playbook corpus
Every verified mission becomes a reusable recipe. The more it runs, the faster, cheaper, and more reliable it gets.
4
Structural human ownership
Changes can land as pull requests in your repo; destructive actions are blocked without a recorded human decision. Control is enforced, not promised.
5
The whole lifecycle in one system
One data model from plan to postmortem — a single receipt traces it end to end, not five disconnected dashboards.

How these compound into a flywheel →

The trust substrate

Every mission ends in a receipt
you can re-verify.

Frozen amount, charged amount, refunded amount, and why. The resources created, the verification method, a SHA-256 content hash. One tamper-evident artifact — not "trust me, it worked."

See the platform →

Get started

Autonomy you can actually
hand a budget.

Deploy your first governed mission in under 10 minutes. Early access is open.

1. Describe
What do you need?
Type it in plain language. "Provision a staging Redis cluster with autoscaling." No YAML, no DSL.
2. Review
See the plan
Blast radius, cost estimate, and rollback plan — before anything runs. Approve with one click.
3. Verified
Get the receipt
Proof against your real cloud, a settlement breakdown, and a rollback path. Nothing to take on faith.

Works with AWS, GCP, Azure, Terraform/OpenTofu, GitHub, Slack — and any LLM, including yours.