What's running in production should still be working

    Your AI Was Accurate at Launch. Nobody Checked Since.

    Accuracy tracking, latency benchmarking, API cost analysis, and monthly output quality reviews across every AI system running in production. So you know when something degrades before it becomes a customer problem.

    AI Performance Monitoring & Optimisation is a monthly retainer service offered by Crescent AI, an AI automation agency helping small and medium businesses automate repetitive workflows without hiring in-house AI engineers.

    MONTHLY

    Output quality reviews across all production AI systems

    PROACTIVE

    Degradation spotted before it reaches customers

    COST TRACKED

    API and compute spend analysed monthly

    School uniform season and wedding alterations back-to-back — customers ringing all day asking if their order was ready. We had jobs written on paper and no way to track any of it. Crescent AI set up automated SMS updates at every stage — dropped off, in progress, ready to collect. Calls have nearly stopped, I'm taking on twice the jobs, and it's still just the two of us.

    Owner, Tailoring Business · Adelaide, Australia

    The Problem

    Deployed AI is treated as finished. It isn't.

    Models drift. Input distributions shift. Token costs accumulate unnoticed. The integration that worked at launch runs slower after a platform update. Most teams find out something is wrong only when a customer or finance lead flags it. By then the degradation has been running for weeks.

    Output accuracy drops gradually — no alarm goes off, users just get worse results

    Latency creeps up after API changes — nobody notices until response times double

    API costs compound month over month with no visibility into what's driving the spend

    No one on the team has a mandate to review AI performance logs alongside their main work

    How it works

    How the Retainer Runs

    01

    Baseline Performance Audit

    Month 1

    Every production AI system reviewed for current accuracy, latency, and cost — the numbers you're actually running on today, not assumptions.

    02

    Monitoring Setup

    Month 1

    Tracking configured against ground truth or business-defined criteria, so drift and slowdowns get flagged automatically going forward.

    03

    Accuracy & Latency Reviews Begin

    Month 1

    Model outputs and response times measured against baseline — the first data points in an ongoing trend line.

    04

    Cost Analysis Begins

    Month 1

    Token consumption and compute spend broken down per system, so cost trends are visible from day one.

    05

    Monthly Reviews

    Ongoing

    Each system reviewed monthly. Regressions, slowdowns, and cost spikes caught before they affect operations or customers.

    06

    Monthly Performance Report

    Ongoing

    Accuracy rate, latency trend, cost trend, and any anomalies detected — delivered as a report you can share with stakeholders.

    What's included

    What the Retainer Covers

    01

    Accuracy Tracking

    Systematic evaluation of model outputs against ground truth or business-defined criteria each month. Regressions caught before they affect operations.

    02

    Latency Benchmarking

    Response time measured against baseline across all production endpoints. Slowdowns flagged and traced to their source — model, integration, or infrastructure.

    03

    API Cost Analysis

    Token consumption, compute usage, and third-party API spend broken down monthly. Optimisation recommendations to reduce cost without reducing output quality.

    04

    Output Quality Review

    Sampled outputs reviewed against your business criteria — not just whether the API returned a response, but whether it returned a useful one.

    05

    Monthly Performance Report

    Accuracy rate, latency trend, cost trend, and any anomalies detected — delivered as a clear report you can share with stakeholders.

    Coverage

    Systems We Monitor

    LLM-Based ToolsClassification ModelsRecommendation SystemsDocument Processing PipelinesVoice AIWorkflow Automations

    Works with your stack

    LangfuseDatadogOpenAI APIAnthropic APIGoogle Gemini API

    Fit check

    This is built for you if…

    This service delivers the most value when:

    Businesses with AI tools or models running in production without ongoing monitoring

    Operations or engineering teams that lack the bandwidth to review AI logs monthly

    Companies where AI output quality directly affects customer experience or revenue

    Finance leads who suspect AI infrastructure costs are rising but can't quantify it

    Why Crescent AI

    Why Choose Crescent AI for Performance Monitoring

    Accuracy and latency issues get flagged the month they appear, not months into accumulated degradation.

    FAQ

    Common Questions

    Still have questions? Book a 15-minute call, no pitch, just answers.

    Where the risk sits

    Month-to-month. No lock-in. The reports we produce are yours to keep — independent of whether you stay.

    Start your retainer

    Start with the Audit. Not a Sales Call.

    30 minutes. We map the workflows eating your team's time, rank your top automations by ROI, and tell you honestly what's not worth touching yet. You get a written summary. No slide deck. No pitch.

    Month-to-month. Built on your existing tools. You own everything we build.

    Book My Free Workflow Audit(opens Calendly in new tab)No pitch · No commitment · 30 minutes