AI readiness checklist for small and mid-sized businesses
Check your data, process ownership, integrations and operating budget before investing in AI automation. Includes a practical readiness worksheet.
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Ideas, systems and what we're learning.
Practical thinking on AI, automation, software, digital systems, and the products we're building.
AI agents or automation? Choose the operating model before the technology.
A practical framework for deciding when a deterministic workflow is enough, when an agent is justified, and where the two should work together.
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Start with the decision.
01
AI agents for business
A practical learning path for choosing an agent, defining its authority and evaluating whether it completes useful business work.
Explore the guide 02AI automation and business processes
Learn how to choose a process, build a credible automation business case and move from a working pilot to dependable operations.
Explore the guide 03AI search and GEO
A practical guide to organising credible website information, understanding AI discovery and measuring visibility without abandoning SEO fundamentals.
Explore the guide 04Agentic commerce and ecommerce operations
Explore how AI shopping, product information, conversational assistance and fulfilment fit into one dependable customer journey.
Explore the guideLatest thinking
Latest insights.
RAG for business: building a reliable AI knowledge base
Learn how retrieval-augmented generation uses business documents, and how to plan source ownership, permissions, updates and answer quality.
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Custom software vs SaaS: when should a business build?
Compare custom software, SaaS and a hybrid approach by workflow fit, total cost, ownership and maintenance before committing to a build.
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CRM automation: connect leads, quotations, projects and invoices
Design a lead-to-invoice workflow with clear approval rules, linked records, duplicate protection and reliable handoffs between sales and delivery.
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Start with one process
Turn an operational problem into a working system.
We will tell you what is worth building, what should be automated, and what is not.