MAXICO LABS / APPLIED AI JOURNAL
Published guides, cases and technical breakdowns about applied AI, automation and digital systems.
THE JOURNAL
Browse published materials about implementation decisions, limitations and details to consider before launch.
Before buying corporate AI training, measure where your team actually lags. A survey plus task-based assessment gives you a precise map of skill gaps.
Read articleThe AI automations that actually claw back agency hours: client reporting, content drafts, lead routing, onboarding. With honest time-saved benchmarks and a priority table.
Read articleOpenAI's Jalapeño Chip is a hardware development that could fundamentally reshape the economics of AI. We break down what businesses should be preparing for.
Read articleWhich processes to automate first, how much it costs, who should own AI at your company, and when to expect results — we answer the most common questions business owners ask about AI in 2026.
Read articleGPT-5.6 Sol is OpenAI's newest model, opening up fresh possibilities for automating and optimizing business processes. Here's what it's good for, how to connect it, and what to watch out for.
Read articleWe break down when building a custom AI-powered CRM is genuinely more cost-effective than a SaaS platform, which features off-the-shelf tools can't offer, how to migrate from amoCRM or HubSpot without losing data, and what it actually costs.
Read articleAI receptionist ($99–300/mo) vs a human ($3–5k): a comparison table, the 62% missed-calls argument, and why a hybrid wins.
Read articleA copy-paste AI policy template, section by section: data, approved tools, disclosure, security, accountability — with ready-to-use wording you can copy.
Read articleA simple ROI formula plus a before/after baseline template leadership accepts. What counts as benefit, a real calculation example, and common mistakes.
Read articleWhat an AI voice agent can and can't do, the ROI on missed calls, and why latency and a natural voice decide everything.
Read article43–64% of employees already use AI in secret. Bans fail and push it underground. How to legalize shadow AI, classify data, and choose safe tools.
Read articlen8n holds up in production — but only with retry, error workflows, queue mode and monitoring. Failure modes, when you need custom code, a reliability checklist.
Read articleFROM READING TO A WORKING SYSTEM
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