Decision Grade AI Change Intelligence

Monitor available now · More plans coming soon

Advance your AI Agents with evidence.

Get upgrade risk visibility and a defensible decision trail — without touching your inference path.

Get startedSee the console
⟳

Model Upgrade

gpt-4-turbo → gpt-4o

Confirmed

AURA Assessment

Regression RiskLow (2.4%)
Cost Impact-15%
Latency Delta+40ms

PACR Generated

Immutable Record #8821

The Problem

AI Agent changes without evidence.

Every model swap, prompt change, or decision to hold carries risk. 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.

Continuous Change Velocity

Faster model releases, provider deprecations, and agentic systems create constant pressure.

Accountability Gap

Approvals, deferrals, and governance haven't caught up to the speed of AI.

Why this keeps getting harder

Model Lifetimes Shrinking

Frontier labs ship breaking changes quarterly. Providers deprecate faster than enterprises can evaluate.

Reputation Risk

AI mistakes are increasingly business-visible. "Trust me" evals are no longer acceptable.

Governance Gap

Compliance pressure rising after deployment. MLOps tools stop at metrics, not decisions.

Target Market

Built for platform teams who own AI.

  • 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.
Before & After

From gut feel to evidence.

AfterAI replaces the informal change processes most teams are running today.

Before AfterAI — the manual era

  • Slack threads & screenshots

    Context is lost in chat history.

  • Metrics without context

    Data without decision intelligence.

  • “It seemed fine” approvals

    Subjective gut-checks on risk.

  • No durable record

    No audit trail when questions arise.

With AfterAI — decision-grade evidence

  • Explicit AI Change Events (ACE)

    Clear signals for every decision moment.

  • Confidence-weighted deltas

    Statistical certainty on performance shifts.

  • Measured upgrade risk (AURA)

    Data-driven risk assessment before shipping.

  • Defensible decision trail (PACR)

    Immutable records of every approval.

How It Works

From signal to durable record.

A standardized lifecycle for every production AI change. From pre-decision signals to immutable records.

Swipe →
Key Features

Built for security. Zero inference impact.

Secure, scalable, and designed to never interfere with inference latency. AfterAI uses confidence-weighted deltas, works with any provider, and never sits in front of your inference.

No Inference Instrumentation

AfterAI never sits in front of your inference. Zero latency impact, no proxying, no routing of production traffic.

Controlled Offline Evaluations

Evaluations run in a controlled, offline environment. No logging of sensitive production traffic for evaluation purposes.

Provider Neutral

Works with any model on Azure, AWS, or GCP. Unified provenance model regardless of the underlying infrastructure.

Confidence-Weighted Deltas

Don't just measure change — measure the statistical confidence of that change to know when it matters.

Exportable Results

Generate audit-ready PDF and JSON artifacts of every decision. Keep a permanent record of what changed and why.

Why AfterAI

More than just evaluation.

Evaluation tools tell you which model is better. AfterAI tells you whether a change should be approved, what the trade-offs are, and who approved it.

vs. Eval tools

Raw metrics → approval decisions + trade-offs

Eval 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 — preserved over time.

vs. DIY in-house

Build + maintain → canonical flow, zero maintenance

Building in-house means owning eval pipelines, escalation logic, and audit trails. AfterAI gives you a standardized AIS → ACE → AURA → PACR flow without owning the full stack.

What it's not

Not prompt tuning, routing, or observability

Not prompt tuning, model routing, or automatic switching. Not request-level observability or inference tracing. AfterAI operates at the change level — decisions, not requests.

Governance as output

Not a compliance checkbox — artifacts that hold up

AfterAI isn't built to satisfy a compliance requirement. It's built for speed. Artifacts naturally hold up in audits because they're created at decision time — not retroactively.

Start decision-grade AI change intelligence for free.

Monitor is live. Assess and Enterprise are coming soon.

Monitor

Available nownon-prod
$0 / month

See AI agents change early.

  • Model Watchlist — 15 providers, email alerts
  • Light AI change visibility
  • 1 Lite AURA / month

Model Watchlist

  • 15 providers: OpenAI, Anthropic, Google, Azure OpenAI, Amazon Bedrock, Mistral, Cohere, xAI, DeepSeek, Meta, Qwen, Kimi, MiniMax, NVIDIA NIM, and more
  • Email alert when a watched model announces deprecation
  • Email alert when a successor model releases in the same family
  • No connection required — available on signup

Usage & limits

  • 10 ACE events / month
  • 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

prod and non-prod
$250 / month

Evaluate AI changes before they ship.

  • Everything in Monitor, plus
  • Unlimited AI Indicator Signals (AIS)
  • Up to 6 AURAs / month

Evaluation & reporting

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

Usage

  • 30 ACEs / month
  • Unlimited AIS signals
  • Up to 5 AI systems

Access & governance

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

Support

  • Priority support

Enterprise

prod and non-prod
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 →

Multi-Cloud Support

One platform for Azure, AWS, and GCP.

Ingest telemetry with full CSP provenance. 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 inference 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.

See a full list of FAQ →

Live Now

Early access, real product.

Monitor is live. Start capturing decision-grade evidence for your AI systems today.

No setup required

Start with the Model Watchlist

Pick models from 15 providers — OpenAI, Anthropic, Google, Azure OpenAI, DeepSeek, and more. Get emailed when a model you're watching announces deprecation or a successor releases. Works the moment you sign up.

  1. 1

    Connect your first system

    Provider-neutral integration in minutes.

  2. 2

    Capture AI Change Events (ACE)

    See exactly when and why your AI changes.

  3. 3

    Run a Lite AURA

    Get a risk assessment 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 teams.

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