Guides to keepingAI running.
What it takes to keep AI working after launch: fallbacks, reviews, reporting and a plan for change.
Thearticles.
AI & Automation
The Agenda for a Monthly AI Governance Review
A practical agenda for a monthly AI governance review: who attends, what evidence to bring, the order to cover it in, and the decisions it should produce.
AI & Automation
ChatGPT, Claude or PRESHos: What Changes for the Team That Runs It
The AI platform you pick changes where the admin work happens. It does not change who owns the work. A practical guide for the team that has to run it.
AI & Automation
Handing an AI Workflow to Your Own Team
How to hand an AI workflow to your own team: what a handover contains, who should take it over, how to train them and how much you need to run yourselves.
Strategy & Insights
Keeping Up When AI Tools Change Every Month
AI tools change every month and most changes need no action. Here is a simple way to sort the ones that matter, brief your leaders and keep your people current.
AI & Automation
Managed AI for a 50-Person MSP and a 5,000-Person Distributor
Managed AI is one service that looks different at each end of the channel. See what a small MSP and a large distributor each get, and what both share.
Strategy & Insights
Reporting AI Results to Leadership: What to Put in the Monthly Report
A monthly AI report for leadership should cover usage, results, what changed, issues, AI usage and next priorities. Here is how to build one that works.
Strategy & Insights
What Managed AI Covers in Month One and Month Six
Managed AI starts with setup, sign-on, connectors and a first workflow. By month six it is a steady cycle of improvements, reports, briefings and training.
AI & Automation
Your AI Agent Is Not Safe Just Because the Prompt Says So
AI agents move too fast for prompt-based safeguards and endless approvals. Production autonomy requires scoped access, auditability, hard stops, and rollback.
AI & Automation
The AI Fallback Plan That Works Under Pressure
A fallback plan belongs inside every AI workflow that matters to the business. Build the route, name the owners, and test the handoff while the stakes are low, not during an outage.
AI & Automation
Your AI Strategy Needs an Exit Plan
A company that brings an AI provider deep into the business needs an exit path from the first conversation: who controls the policy layer, who owns the data path, and how to keep the ability to choose the next turn.
AI & Automation
AI-Enabled Operations: Lessons from the Field
Practical insights from organizations that have deployed AI in their operations. What works, what doesn't, and what to expect.
We keep itrunning.
Managed AI is a monthly service. We run the platform, build new workflows, report on results and train your people.
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