Monitor available now · More plans coming soon

Production AI changes
require evidence.

AfterAI gives platform teams upgrade risk, change visibility, and a defensible decision trail — without touching the inference path.

Get startedSee the console

Upgrades shouldn't be a leap of faith — neither should deciding not to upgrade.

Every model swap, prompt change, or decision to hold is a production decision.

Without evidence, you're guessing on risk.

AfterAI turns AI change — and no-change — into measurable upgrade risk and a durable decision trail, so platform teams and leadership can move or deliberately not move with confidence.

With faster model releases, provider deprecations, and agentic systems in production, AI change is continuous — but approvals, deferrals, and accountability haven't caught up.

Built for platform teams who own AI in production.

  • Heads of AI Platform and ML Platform shipping model and pipeline changes.
  • Teams who need upgrade risk and change visibility — not another observability dashboard.
  • Organizations that need a clear, defensible answer when leadership asks what changed and why.

If you don't run AI in production, this probably isn't for you.

The decision moment

Every production AI change — or decision not to change — eventually reaches a point where someone must act. AfterAI is built for that moment: from pre-decision signals to durable records.

Swipe →

Built for production, not your hot path.

AfterAI uses confidence-weighted deltas, works with any provider, and never sits in front of your inference. No inference-path instrumentation, no production traffic logging — controlled, offline evaluations only. Capture change and risk out-of-band; zero impact on latency.

No inference-path instrumentationNever in front of your inference
No production traffic loggingControlled, offline evaluations only
Provider-neutral, out-of-bandFail-open; no proxy, no routing

Before AfterAI

  • Slack threads and screenshots
  • Metrics without context
  • "It seemed fine" approvals
  • No durable record

With AfterAI

  • Explicit AI Change Events (ACE)
  • Measured upgrade risk (AURA)
  • Confidence-weighted deltas
  • Defensible decision trail

Start decision-grade AI change intelligence for free.

Monitor is live. Assess and Enterprise are coming soon.

Monitor

Available now
$0 / month

See AI systems change early.

  • Unlimited AI Indicator Signals (AIS)
  • Light AI change visibility
  • 1 Lite AURA / month

Usage & limits

  • 10 ACE events / month
  • Unlimited AIS signals
  • 1 AI system

Evaluation

  • 1 AURA / month (lite depth, not exportable)

Add-ons

  • Full AURA: $99 one-time / month (not exportable)

Support

  • Email support
Get started

Assess

$250 / month

Evaluate AI changes before they ship.

  • Everything in Monitor, plus
  • Up to 6 AURAs / month
  • Exportable results + advanced analytics

Evaluation & reporting

  • 6 full-depth AURA assessments / month
  • Exportable results (PDF / JSON)
  • Historical comparisons + baselines

Usage

  • 30 ACEs / month
  • Unlimited AIS signals
  • Up to 3 AI systems

Access & governance

  • SSO (single IdP)
  • Basic RBAC (Admin / Member / Viewer)
  • Limited audit log (7–14 days)

Support

  • Priority support

Enterprise

Custom

Typically starts at $4,500 / month

Make AI decisions defensible.

  • Everything in Assess, plus
  • Immutable PACRs + approvals
  • Enterprise security & controls

Records & accountability

  • Immutable PACRs
  • Approval metadata (who / when / why)
  • Retention policies

Security & isolation

  • Single-tenant eval compute (private / isolated)
  • Optional customer-managed keys (BYOK)
  • Full audit logs

Usage

  • 400 ACEs / month
  • 80 AURA runs / month
  • Up to 20 AI systems

Integrations & support

  • Custom integrations
  • SLA / dedicated support
Talk to us

View full pricing specifications →

One platform for Azure, AWS, and GCP.

Ingest D4 telemetry with full CSP provenance from Microsoft Azure, Amazon Web Services, and Google Cloud. Same provenance model — no lock-in.

Microsoft Azure
Amazon Web Services
Google Cloud
Cloud providers

FAQ

How is this different from model evaluation tools?
Evaluation tools tell you which model performed better. AfterAI tells you whether a change should be approved, what the trade-offs are, and who approved it — and preserves that decision over time.
Is AfterAI observability?
No. AfterAI is not request-level observability, tracing, or logging. It operates at the change level, not the inference level.
Does AfterAI sit in the inference path?
No. AfterAI is completely out-of-band. It does not proxy traffic, route requests, or block production calls. Telemetry is asynchronous and designed to fail open.
Do you need to send prompts or model outputs?
No. AfterAI is metadata-first by default. Prompt and output capture is optional, sampled, and fully controllable with redaction and retention policies.
Why go with AfterAI instead of DIY?
Building change intelligence in-house means maintaining eval pipelines, escalation logic, and audit trails yourself. AfterAI gives you a canonical flow (AIS → ACE → AURA → PACR), consistent limits and billing, and a defensible decision trail without owning the full stack. You get decision-grade evidence and optional PACRs when you need them, without building observability or request-level telemetry.

See a full list of FAQ →

Early access, real product.

AfterAI is in early access. Monitor is live — sign up, capture AI Change Events, and run a preview AURA on a real upgrade. We're building Assess and Enterprise with platform teams like yours.

  • Connect your first system
  • Capture AI Change Events (ACE)
  • See how often AI is actually changing
  • Run a preview AURA on a real upgrade

No credit card required for Monitor. Provider-neutral — bring your own models and pipelines. Security is built in — same posture whether you use the console, API, or SDK. Security overview →

Get started freeRequest a demo

Security built for production.

The same authentication and access model applies whether you use the console, the API, or the SDK. We're built for teams who need a defensible, audit-friendly posture.

We never sit in your inference path; telemetry is out-of-band and designed to fail open.

Security overview