Topics

Industry-specific automation guidance: which processes to automate and how, in manufacturing, logistics, construction, professional services, healthcare administration, retail, real estate, and more.

Automating everyday back-office processes: invoicing, quoting, approvals, employee onboarding, scheduling, reporting, and the repetitive admin work that eats staff time.

Automating the commercial engine: lead capture and qualification, CRM hygiene, proposal and quote generation, outreach sequences, and AI-assisted marketing workflows.

Using AI and automation responsibly: what data is safe to share with AI tools, GDPR and the EU AI Act, vendor and data-processing risk, access control, and workable AI usage policies for staff.

Choosing and using automation platforms: Zapier, Make, n8n, Power Automate, and AI agent frameworks — comparisons, pricing considerations, when each fits, and how they connect to your systems.

Automating customer communication without losing the human touch: email triage, AI chatbots and agents, help desk workflows, response drafting, and escalation rules.

Automating the Microsoft stack most businesses already run: Power Automate flows, OneDrive and SharePoint document workflows, Excel automation, Outlook rules and triage, and Teams integrations.

Using Claude, ChatGPT, Microsoft Copilot, and other AI assistants effectively in a business: prompting, working with files and data, projects and context, limits, and reliable day-to-day workflows.

Making business systems talk to each other: connecting CRMs, ERPs, accounting software, and spreadsheets, syncing data reliably, APIs and webhooks, and cleaning up data before automating it.

Getting data out of documents and documents out of data: extracting information from PDFs, invoices, and emails, OCR, automated document generation, and eliminating manual data entry.

Automating the Google stack: Google Sheets and Apps Script, Gmail rules and triage, Drive and Docs document workflows, Forms data collection, Calendar scheduling, AppSheet apps, and where Gemini fits in.

Deciding what to automate and proving it was worth it: identifying high-value processes, prioritising, running pilots, measuring ROI, managing change, and avoiding the common ways automation projects fail.

What AI automation actually is and what it can do for a business: core concepts, realistic capabilities and limits, build vs buy, and how to tell hype from substance.