Ongoing monitoring, optimization, and evolution of your AI systems — so they keep performing as your business grows and technology advances.
We start with a full system baseline — documenting every AI agent, automation, and integration you have running, whether we built them or not. We assess health, performance, and improvement opportunities, then propose a retainer tier that matches your needs.
Comprehensive system baseline and health assessment for all AI assets
Continuous monitoring with automated health checks and alerting
Monthly AI performance reviews with accuracy, usage, and cost analysis
Prompt and model optimization as new AI capabilities become available
Knowledge base updates and content refresh for AI agents
Proactive issue resolution before problems impact your business
Quarterly strategy sessions to identify new AI opportunities
Monthly executive report with ROI metrics and improvement recommendations
A structured, phase-gated process. Every phase includes formal sign-off before proceeding to the next.
Full inventory of AI systems, integrations, and automations; health assessment; performance baseline; documentation of current state; monitoring access setup.
Monitoring dashboards configured; alerting rules defined; first optimization pass; reporting templates established; escalation procedures documented.
Continuous monitoring; incident response; monthly performance review; prompt and model tuning; knowledge base maintenance; monthly executive report.
Strategic review of AI portfolio; new opportunity identification; technology upgrade recommendations; roadmap refinement; retainer scope adjustment.
Continuous monitoring, monthly performance reviews, prompt and model optimization, knowledge base updates, proactive issue resolution, quarterly strategy sessions, and monthly executive reports. Specific hours and SLAs depend on your tier — we tailor the retainer to match the complexity of your AI portfolio.
No. We manage AI systems regardless of who built them. During onboarding we document everything, assess health, and establish baselines. If we find issues or optimization opportunities in existing systems, we address them as part of the managed service.
Response times depend on your retainer tier. Standard tiers include next-business-day response for non-critical issues and same-day response for critical system failures. Priority tiers include faster SLAs. All tiers include proactive monitoring that catches most issues before they affect your business.
Absolutely. Retainers are reviewed quarterly. As you add new AI systems or your usage grows, we adjust scope and pricing accordingly. You can also scale down if systems stabilize and require less hands-on management.
We support that transition. Our quarterly reviews include progressive knowledge transfer. We document everything, train your internal team, and can transition to an advisory-only arrangement. The goal is to build your organization's AI capability, not create dependency.
Real-world examples of how businesses use this service to drive results.
Unplanned downtime can cost manufacturers thousands per hour. AI predictive maintenance uses sensors and machine learning to catch equipment failures before they happen, saving time and money.
Read use caseWearable biosensors paired with AI track exercise adherence and recovery between visits for physio, chiro, and rehab clinics — improving patient retention by 15 to 25 percent and delivering measurably better outcomes.
Read use caseAI-based demand forecasting reduces inventory errors by 20-50%. For retailers, restaurants, and any product-based business, that means less waste, fewer stockouts, and healthier margins.
Read use caseSupply chain disruptions can cripple a small manufacturer overnight. AI monitors supplier health, geopolitical signals, weather, and commodity pricing in real time — reducing inventory 35% while increasing service levels 65%.
Read use caseIoT sensors paired with AI predict HVAC and plumbing failures weeks in advance and optimize energy consumption automatically. Building owners are cutting energy waste by 30 percent or more and reducing emergency repair costs by 20 to 40 percent.
Read use caseAI analyzes booking patterns, weather, and patient history to predict no-shows before they happen — then auto-sends targeted reminders and backfills from your waitlist. Clinics are reducing no-shows by 20 to 30 percent.
Read use caseExplore other ways we can help your business.
Purpose-built AI agents that handle customer inquiries, analyze data, orchestrate workflows, and more.
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Eliminate repetitive tasks and streamline workflows with AI-powered automation tailored to your business.
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Modernize your web presence with a full redesign, AI-powered features, or modular upgrades — chat agents, lead nurturing, smart booking, and more.
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Book a free consultation to discuss your needs and see how we can help.