Managed AI Improvement
Ongoing support, tuning, and governance for your AI workflows.
Who this is for
- Firms that have completed a pilot and want continued support
- Practices expanding from one workflow to several
- Businesses that need regular governance reviews and compliance updates
- Teams that want a managed partner rather than building internal AI expertise
The problem this solves
Your pilot proved value but the workflow needs ongoing maintenance, monitoring, and improvement.
Without regular support, AI workflows drift: prompts degrade, edge cases accumulate, and governance gaps appear.
Managed Improvement keeps your workflows effective and governed as your practice evolves.
What you get
- Monthly performance review and reporting
- Prompt tuning and accuracy improvements
- Issue resolution and troubleshooting
- Small enhancements and workflow adjustments
- Governance updates as regulations or internal policies change
- Usage reporting and adoption tracking
- Roadmap recommendations for additional workflows
Expected outcome
Your AI workflows stay effective, governed, and improving month over month without requiring internal AI expertise.
Common questions
Yes. Managed Improvement builds on a working pilot. Starting managed support without a proven workflow does not provide enough foundation to be useful.
Yes. Additional workflows are scoped and added incrementally, each following the same controlled process as the original pilot.
Three months, then month-to-month. This gives enough time to see meaningful performance trends and make informed decisions.
Monthly review meetings are standard. During active deployment of new workflows, meetings are more frequent.
Not sure where to start? The AI Readiness & Workflow Audit is the recommended first step.