AGENTIX · ENTERPRISE SERVICEAI ASSURANCE / 2026
§ Enterprise service · for shipped AI

Prove the AI you
already shipped.

We retrofit the eval harness, red-team and CI regression gate your system never had, and hand you a quality score your compliance team will actually trust.

Already shipped AI? This hardens it. Building a team-wide AI practice instead? That's Engineering Upgrade →

Sample scorecard format, illustrative, not a live system. Sourced benchmarks below: TAFI 279/279, Orions 55/55.
§01, The problem

The questions that
keep you up at 3am.

If your AI is in production and you can't answer these with a number, you're flying blind.

It hallucinates

It invents facts, cites things that don't exist, and you find out from a customer, not a test.

It regresses silently

Someone tweaked a prompt last week. Better or worse? Nobody can say, there's no baseline to compare against.

Compliance won't sign off

Legal can't approve what nobody can measure. The system sits half-launched, gated behind a risk no one will own.

You're running on vibes

No score, no tests, no regression gate. Just a gut feeling that it's "mostly working", until it isn't.

§ What it is

We don't build a new AI.
We make yours provable.

Every one of our case studies leads with an eval score, 279/279 and 55/55. That measurement discipline is the rarest thing in AI engineering, and almost nobody has it.

AI Assurance points exactly that discipline at the system you already shipped, built by us, or by anyone.

How it works

From "we hope it works"
to a number you defend.

Four stages, each producing an artifact you keep. Run the audit alone, or take it through to a live regression gate.

FIG.01, the assurance pipeline
01Risk Auditmap every failure mode
02Eval Harness100+ scenarios → a real score
03Red-Teamattack it, document every hole
04Regression GateCI blocks silent drops
§02, What you get

Four deliverables.
All yours to keep.

Not a report that sits in a drawer, runnable artifacts that keep proving the system is safe.

Eval Harness
100+ scenario tests · a real score
Pass Marginal FailScore 96 / 100

Illustrative scenario grid, representative format, not a live score.

Red-Team Report
Every hole, ranked by severity
High
Prompt injection via an uploaded file bypasses the system rules
Med
PII leakage when asked to "summarise the last conversation"
Low
Tone drift on adversarial follow-ups after turn six
Regression Gate
CI blocks quality drops, forever
PR opened→Eval runs
precision steady · ECE ≤ 0.15 · merge allowed ✓
precision drops >5pp · blocked ✕

Design spec for the gate we build for clients. On Orions AI (StubsAI) the regression gate runs against 7 golden incidents and is run manually today; no CI job runs it yet.

Hallucination, Measured
What the harness is designed to move
BeforeUnmeasuredhallucination rate, no baseline
AfterMeasuredbaseline set · re-runnable · gated

Design principle, illustrative, not a client result. Deterministic validation against ground truth turns hallucination into a number you can track and gate.

§03, Engagement

Start with the audit.
Take it as far as you need.

The risk audit stands on its own, a fixed fee, a real score, a remediation roadmap. Build and run from there.

01

AI Risk Audit

Fixed fee · 2-3 weeks

We audit your shipped AI, build a starter eval, run a red-team pass, and score it. You get a risk report and a prioritised, priced remediation roadmap.

  • Failure-mode + risk map
  • Baseline eval score
  • Red-team findings, ranked
  • Remediation roadmap, priced
Walk away with a number, build with us or not.
Most popular02

Assurance Engineering

Fixed-fee build

We build the harness for real: a full eval suite, the red-team fixes applied, a live CI regression gate, observability, and the documentation compliance needs.

  • Full eval harness (100+ scenarios)
  • Red-team fixes implemented
  • Live CI regression gate
  • Observability + compliance docs
A shipped AI that's provably safe, and stays that way.
03

Managed AI Operations

Monthly retainer

We run and maintain the assurance layer: eval-drift monitoring, safe model migration in shadow mode, token-cost optimisation, and a quarterly red-team refresh.

  • Eval-drift monitoring
  • Safe model migration (shadow mode)
  • Token-cost optimisation
  • Quarterly red-team refresh
Someone owns the risk, continuously.
Book an AI risk audit

Stop running
on vibes.

A fixed-fee audit of the AI you've already shipped: a baseline eval score, a red-team pass, and a priced roadmap to make it provably safe. Yours to keep either way.

AGENTIX TECH · AI Assurance · eval · red-team · regression gate