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AI RELIABILITY AUDIT

Find out why your AI feature fails with real users, in one week.

We test your feature against your own traffic and measure how often it's wrong, what each request costs and what happens when the provider goes down. You get the numbers, a fix list and a fixed price for the fix.

$3,500 · 1 week · Credited against the fix · NDAs are standard

1 week

From access to written verdict

6

Areas we test

$3,500

Credited against the fix

71%

ZapBot booking conversion, in private beta

WHO IT'S FOR

Teams book this audit after one of these.

01

It answers wrong, and you can't say how often.

A customer forwards a made-up answer. You fix the prompt, and something else breaks. Nobody can tell you whether this week's version is better than last week's.

02

The model bill grows faster than your users.

Usage went up 20% and the invoice doubled, and you can't see which requests cost the money.

03

It fails when the provider does.

A rate limit or an outage at the model provider shows up in your app as an error, or as an agent that stops halfway through a task.

HOW IT WORKS

A scoping call, a week of testing, then your decision.

01

FREE · 30 MIN

Scoping call

Show us the feature and where it goes wrong. We confirm what access we need and what the week will cover.

02

1 WEEK · $3,500

The audit

With read-only access to the repo, prompts and a sample of logs, we map the pipeline, build test cases from real traffic and measure accuracy, latency, cost and outage behaviour.

03

IF YOU WANT US TO

The fix

The fix list becomes a fixed-scope sprint, usually an AI Feature Sprint. The $3,500 comes off its price.

Book the AI reliability auditThe eval set and report are yours either way.

WHAT WE CHECK

What does an AI reliability audit check?

Six areas. Each one ends with a verdict: holds, fix next or fix now.

  • 01

    Prompts & retrieval

    Does the model get the right context, and does it follow your instructions when users phrase things in ways you didn't test?

  • 02

    Evals

    Is there a set of test cases with a pass mark, and does a change get tested before it ships?

  • 03

    Tracing

    When a user reports a bad answer, can you find that exact request, its inputs and its output?

  • 04

    Cost

    What does one request cost, which requests cost the most, and what's being sent that doesn't need to be?

  • 05

    Fallbacks

    What happens on a rate limit, a timeout, an outage or a model version change?

  • 06

    Data handling

    What personal or customer data goes to the provider, and is that what your users agreed to?

WHAT YOU GET

At the end of the week you have numbers, a test set and a costed plan.

EXAMPLE AI FEATURE · RELIABILITY AUDIT · 6 AREAS

Verdicts + eval set + costed plan

What holds, what to fix first, and what it costs, with a test set in your repo.

REQUEST TYPE · AVG TOKENS · COST
— · — · —

  1. 01A verdict for each of the 6 areas: holds, fix next or fix now, with the evidence.
  2. 02A starter eval set, committed to your repo, built from your real traffic, so every future prompt or model change can be tested against it.
  3. 03A cost-per-request breakdown: what each request costs today, and where the money goes.
  4. 04A fix list in order: what to fix first and why.
  5. 05A fixed-price quote for the fix, usually an AI Feature Sprint.
  6. 06A walkthrough call with the engineer who ran the audit.

The report and the eval set are yours. Hand them to your own team or anyone else, and if you start the fix with us within 60 days, the $3,500 comes off its price.

Start with a 30-minute scoping call →

SELF-CHECK

Is your AI feature ready for real users? 6 questions

Answer for your own feature. It takes a minute, and nothing is sent until you choose to book.

  1. 01Has a user reported a wrong answer you couldn't reproduce?
  2. 02Do prompt or model changes ship without a set of test cases?
  3. 03Would you struggle to say what one request costs?
  4. 04Have you changed models or model versions in the last 3 months?
  5. 05Does a provider outage show your users an error?
  6. 06Is customer data sent to the model without anyone having checked what?
How we build AI that holds up →

PROOF

AI features we've taken from demo to real users.

71%

ZapBot

AI agent

A conversational booking agent running on a live booking product, with GoHighLevel CRM sync. 71% booking conversion, and under 90 seconds from first message to confirmed booking. Kickoff to private beta in 3 months.

Read the ZapBot case study →

< 4 hrs

WaterUp

Compliance SaaS

An AI report builder for US water utilities, with 13+ templates, anomaly flagging and RAG answers to compliance questions. In beta: under 4 hours per report, down from days.

Read the WaterUp case study →

We run the same evals and tracing on Prophic, our own AI product, before any change reaches a client's build. See Labs →

AI SUMMARY

Ask AI for a summary of SociiLabs

Who are you?

FAQ

Questions about the AI reliability audit.

$3,500, fixed, for one AI feature. If you start the fix with us within 60 days, the full $3,500 comes off its price. Prices are in USD and exclude any applicable taxes.