Tutorials
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Why your HaloPSA price increase might not land until August
If you're planning a price rise on recurring invoices in HaloPSA, there's a timing quirk and a bulk-update trap that can catch you out. This tutorial walks through manual edits, the item-matching game of snap method, and the settings that control whether your whole client base gets uplifted at once. Get this wrong and you could end up billing every client the same fixed price regardless of their agreed rate.
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How CIPP routes alerts to email, webhooks and HaloPSA tickets
This tutorial walks through configuring CIPP's notification settings, from comma-separated email addresses through to webhook URLs and direct HaloPSA ticket creation. It then covers setting up tenant alerts, both Microsoft audit log based and CIPP scripted alerts, including the built-in BEC remediation preset, so an MSP running CIPP actually gets told when something goes wrong.
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Inside Renada's own AI stack: autoscheduling, call notes and workflow audits
Connor walks through the actual AI tooling Renada runs on top of HaloPSA and n8n: an autoscheduler that books tasks into diaries, a call transcription pipeline that turns Teams recordings into tasks and client emails, and a workflow analyser that audits HaloPSA workflow configuration for gaps. Useful for any MSP wondering what AI actually looks like in production rather than in a demo. Renada built the autoscheduler because writing
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Why AI ticket triage saves seconds, not your MSP
Connor from Renada breaks down where AI genuinely helps an MSP and where it does more harm than good, from client-facing chatbots to ticket triage and QBR prep. If you are deciding what to automate in your service desk, this covers the trade-offs between speed and the human connection that actually drives upsells and retention.
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Why your AI bill hides in tokens, caching and context windows
This episode of Renada Rundown decodes the AI jargon MSPs keep bumping into: tokens, context windows, prompt caching, RAG, vector embeddings, structured outputs and hallucinations. It uses real examples from Renada's own product, Elegant Insights, and from HaloPSA auto triage to show why each term actually matters for cost and reliability, not just theory.
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Why Claude costs double GPT5 but wins every coding benchmark
Connor from Renada opens a new series on AI for MSPs by comparing three flagship models: GPT5, Claude Sonnet 4.5 and Gemini 2.5 Pro. He breaks down context windows, pricing per million tokens and coding benchmarks so you can pick the right model for the job rather than assuming one model does everything well.
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