AI & Data Innovation · AI Ops & Monitoring

AI monitoring that keeps your AI accurate, safe and on budget

AI isn't set-and-forget. We watch quality, speed and cost every day, catch problems before your customers do, and keep improving your AI as your business changes.

Setup
1–2 weeks
Then
Monthly care
Reports
Plain English
What changes

What changes when someone is watching your AI

Today

Nobody notices when the AI starts giving wrong answers.

With AI Ops

Quality checks flag odd answers the same day.

Today

AI bills creep up month after month.

With AI Ops

Costs are tracked and models tuned to stay on budget.

Today

New products and policies never reach the AI.

With AI Ops

Its knowledge stays current as your business changes.

What we do

Everything it takes to run AI reliably

Whether we built your AI or another team did, we keep it healthy, safe and improving.

Quality monitoring

Automatic checks on real conversations, with unusual answers flagged for a person to review.

Safety guardrails

Rules that stop the AI from sharing what it shouldn't, making promises or going off topic.

Cost control

Usage dashboards, budget alerts and model tuning that keep running costs predictable.

Speed and uptime

Response times and availability watched around the clock, with alerts if anything slows down.

Regular improvements

Monthly updates to knowledge, instructions and models as your products and policies change.

Tested before release

Every change is tested against real past questions before it reaches your customers.

How it works

From a health check to always-on care

  1. 1

    Discovery call

    Tell us what AI you run and what worries you about it.

    Free · 30 min
  2. 2

    Health check

    We review quality, safety, speed and cost, and give you a clear baseline.

    1–2 weeks
  3. 3

    Monitoring setup

    We switch on checks, dashboards and alerts that fit your systems.

    About 1 week
  4. 4

    Monthly care

    We fix issues, update knowledge and send a plain-English report every month.

    Every month
  5. 5

    Always-on alerts

    If something goes wrong, we hear about it first and act on it.

    24/7
How we run AI

AI that keeps getting better after launch

We run AI in production for our own company and for clients. The same habits that keep ours reliable go into every care plan.

Dailyquality checks on real conversationsCatch drift early
Monthlyplain-English report on quality and costAlways informed
100%of changes tested before releaseNo surprises
Your numbers

How much time goes into babysitting your AI?

Move the sliders to see what checking and fixing AI output costs today.

312hours a year watching your AI
$14,040what that time costs each year

This shows today's cost only. On your free call we'll suggest what monitoring would take off your team's plate.

What you get

  • A health check with a clear baseline
  • Dashboards for quality, speed and cost
  • Alerts when anything goes wrong
  • Safety guardrails and tested updates
  • Monthly knowledge and model improvements
  • A plain-English report every month
Built with

Proven monitoring tools

We use established observability tools, so your monitoring keeps working even if your team takes it over.

LangSmithSentryDatadogPostHogClaudeGPT-4.1Llama 3.3Open-weight models
Who it's for

Any business running AI in production

Chatbots, agents, voice AI and AI features inside your apps, whoever built them.

Support chatbotsAI agentsVoice AIAI in SaaSInternal AI toolsRegulated industries
FAQ

AI monitoring questions, answered

Do we need monitoring if our AI already works?

Yes. Models get updated, your products change and customers ask new things. Monitoring catches the slow drift that nobody notices until a customer complains.

Can you monitor AI that another team built?

Yes. We start with a health check to understand how it works, then set up monitoring that fits it.

How do you measure answer quality?

We run automated checks on samples of real conversations against your approved answers and rules, and a person reviews anything that gets flagged.

How do you keep AI running costs down?

We track usage, use the right size of model for each task, cache repeated answers and set budget alerts, so your bill stays predictable.

What's in the monthly report?

Quality trends, issues found and fixed, running costs and our recommendations for the month ahead, all in plain English.

How much does AI monitoring cost?

It depends on how many AI systems you run and how busy they are. You get an estimate within 24 hours of your discovery call.

Want peace of mind about the AI you already run?

Book a free 30-minute call. We'll talk through your AI setup and what a health check would cover.

Book a free call or send us a message
Talk to us