Your AI Systems Run. Your Results Compound. Every Month.

AI automations drift. Models need retraining. New data patterns break pipelines. Integrations go stale as tools update. Without active oversight, the performance gains you paid to build slowly erode.

Most businesses find this out six months after a project closes, when the system is still running but producing worse results than launch day.

Every tier includes monthly performance reporting and direct access. Choose the level of coverage your business needs.

→Monthly AI system performance audit

→Uptime and accuracy monitoring

→Drift detection and alerts

→Monthly written report

→Quarterly strategy session (60 min)

→Email support

→Everything in Systems Monitoring

→Weekly system review call (30 min)

→New automation scoping (2 per quarter)

→Model update recommendations

→Priority async support

→Prompt library maintenance

→Monthly strategy session (90 min)

→Everything in Managed AI Partner

→Dedicated AI ops coverage

→Team enablement sessions (monthly)

→Full infrastructure management

→Quarterly roadmap planning

→SLA with defined response times

→White-glove onboarding

Performance Monitoring

Accuracy tracking, latency benchmarks, and output quality scoring across all deployed models and automations. Anomalies get flagged before they become problems.

Model Maintenance

Regular evaluation of model performance against new data. Retraining recommendations, prompt refinements, and fine-tuning when output quality drifts from baseline.

Integration Health

API dependency checks, webhook reliability, and data pipeline integrity. Tool updates and vendor changes get absorbed without breaking your automations.

Continuous Improvement

Monthly identification of new automation opportunities within your existing stack. Scoping and prioritization so your AI investment compounds instead of plateauing.

Fill out the form below. I will review your current AI stack and respond within one business day to schedule a scoping call.

The $79K number came from a collections automation built and managed on retainer for a client running a B2B services firm. When they came to me they had $87,000 sitting in outstanding receivables spread across 23 client accounts. Their operations manager was manually tracking every invoice, sending follow-up emails from a shared inbox, and keeping a spreadsheet to know who had paid.

The collection cycle was averaging 42 days from invoice sent to payment received. That meant their cash flow was perpetually 6 weeks behind their revenue. The operations manager was spending 8 to 10 hours a week on this task alone.

An automated collections sequence triggered the moment an invoice hit 7 days outstanding. The system sent a personalized reminder with the invoice attached, escalated to a second message at 14 days, and flagged the account for a manual review call at 21 days. The messages were generated from a template trained on their existing communication style so they read like they came from a person, not a robot.

Within 60 days, $79,000 of that $87,000 had cleared. The collection cycle dropped from 42 days to 16 days on average. The operations manager reclaimed 8 hours a week.

The retainer piece is why this number stayed at 16 days and did not drift back. Active monitoring continued through every tool update, every template change, every edge case their clients introduced. When a major email provider started flagging automated follow-ups as promotional, The issue was caught within a week and the the delivery configuration before it affected payment rates. Without active oversight that 16-day average would have crept back toward 30 within a quarter.