Owner / Founder - Raymond AI LLC
Joined June 2018
- Tweets190
- Following2.3K
- Followers807
- Likes0
Have a tech question? Raymond AI helps you work through common computer and IT troubleshooting with practical, conversational guidance. Learn more at raymondai.net
Meet the newest episode of The AI Office: “The Update.” Watch now: youtu.be/K_2i440AtLk #TheAIOffice #RaymondAI
Meet Raymond AI: a voice-first computer and IT troubleshooting advisor for individuals, IT teams, and MSPs. Raymond brings perspectives from ChatGPT, Gemini, Claude, Grok, and Muse together to help users find a path forward. Plans start at $19/month, include voice support, and can be canceled anytime. Explore the app and plans: raymondai.net/plans
Meet Raymond AI: a voice-first computer and IT troubleshooting advisor for individuals, IT teams, and MSPs. Raymond brings perspectives from ChatGPT, Gemini, Claude, Grok, and Muse together to help users find a path forward. Plans start at $19/month, include voice support, and can be canceled anytime. Explore the app and plans: raymondai.net/plans
New episode from The AI Office: Episode 3, “The Process.” Watch: youtu.be/jXoyp9QpXdE
Raymond AI: voice-first IT troubleshooting + Text Chat. He can consult ChatGPT, Gemini, Claude, Grok & Muse, then give one recommendation.
T1 $19/100 min · T2 $29/200 · T3 $39/300 · T4 $49/400 per seat/month. Cancel anytime: raymondai.net/plans
For consequential IT changes, let AI gather context and draft the proposed action; keep a named human responsible for approval before execution. That boundary matters for access changes, deletions, and customer commitments.
Measure more than minutes saved in an AI pilot. Track corrections, handoff clarity, and whether escalation rules worked in real cases. Faster output is not a win if it creates more rework.
For an AI ticket pilot, map three lanes first: routine work supported by approved knowledge, cases needing human judgment, and stop-and-escalate conditions. An exception map is a safer starting point than “automate support.”
Before automating a task with AI, ask why it exists. Automating an unclear process can make confusion faster. Start with one repeatable workflow, keep a human accountable for exceptions, and measure rework—not just speed. Human-led, AI-staffed.
A pilot that saves 5 minutes but adds 10 minutes of review isn’t a win. Measure the whole task: prep, verification, rework, escalations. Scale only when net benefit is real and the failure path is clear. Ask Why before automating. Human-Led, AI-Staffed.
An AI access assistant needs a clear stop line: explain policy, collect missing details, draft the ticket—then hand off before permissions change. Ask Why before automating. Keep approval and accountability with a named human. Human-Led, AI-Staffed.
Before automating ticket work, ask why each step exists. Map judgment, missing data, approvals, and exceptions. Simplify handoffs; automate only repeatable steps—with a human owner and escalation path. Human-Led. AI-Staffed. What should stay human in your queue?
Ask Why before automating. Before an AI workflow goes live, map the exception path: missing data, failed integrations, approvals, handoffs. Automate repeatable steps; keep judgment and escalation with people. Human-Led, AI-Staffed. What exception should always stay human?
Raymond AI just launched its company and website to become an AI coworker for MSPs and IT administrators. We’re building voice and text support, a better avatar, and clear demos. Thanks for believing in this work. Find the GoFundMe via the link above. #AI #MSP gofund.me/417b0eeca
The AI Office — Episode 2: “The Meetings” is live.
Meetings about meetings for meetings that could have been an email.
A short AI workplace comedy about process, productivity, and asking why the meeting exists.
youtu.be/pR5I0OL_GlE
#TheAIOffice #RaymondAI
Good AI operations have a pause button.
Human approval, scoped access, clear evidence, and rollback are not friction. They are how useful automation stays trustworthy.
One MSP. One real workflow. One no-cost pilot.
Bring the process that creates unnecessary effort. We will observe it, question it, simplify what we can, and measure what changes where practical.
No guarantees. raymondai.net/contact
The best AI coworker is not the one that adds another tool.
It is the one that learns how the organization actually works, spots friction, and helps remove it.
The AI Office starts here: “Define Employee.”
A short workplace conversation about what it means for an AI to be an employee.
Watch Episode 1: youtu.be/UqrgQyTq3TI