Fractional AI operations for businesses that need live workflows to keep producing results. We measure performance, tune what is live, improve reliability and adoption, and add new use cases when the evidence supports them.
Managed AI Operations is the ongoing layer after implementation — a steady monthly loop that keeps workflows reliable, measures business impact, and expands them carefully as priorities shift.
Keep outputs sharp as your data, team, and edge cases change.
Add the next workflow once the current one is proven and stable.
Training, prompt patterns, and handoff design so the team keeps using it.
Track the business KPI, output quality, adoption, exceptions, and the next workflow worth tuning.
Maintain human approval rules and guardrails as workflows grow.
Adapt as Copilot, ChatGPT, and automation platforms evolve.
Review the business KPI, quality, adoption, approvals, exceptions, and where execution still breaks down.
Fix the rough edges in live workflows and prompts.
Add the next workflow when the current one is solid.
Keep the team confident and adoption high.
Fractional AI operations support for live workflows: tuning, new use cases, adoption, governance, measurement, and tool changes.
After a 30-Day AI Workflow Sprint or when an existing workflow needs ongoing improvement and controlled expansion.
No. Your people own outcomes, approvals, and business decisions. AIA maintains and improves the workflow with them.
Monthly pricing is scope-based, using the number and complexity of workflows, integrations, governance needs, and improvement cadence.
The operating model follows the same principle described in our guide to AI approval gates for small business: bounded authority, visible review, and clear escalation.
Managed AI Operations is the ongoing layer that measures results, improves reliability, and keeps workflows aligned as the business changes.
Talk about a retainer