· Resources
Useful AI guides, recipes and workflow ideas.
A practical library for SMB teams that want to reduce manual work, deploy AI safely and pick better automation opportunities.
The first-workflow chooser
A simple way to decide which AI workflow to deploy first based on ROI, data readiness, adoption risk and manual time saved.
· Automation recipes
Recipes you can map before you build.
Client onboarding recipe
Turn intake, kickoff emails, task creation and internal summaries into one repeatable workflow.
Document chasing recipe
Track missing files, send polite reminders, update task boards and alert staff only when needed.
Email triage recipe
Classify inbound emails, summarise context, draft replies and route sensitive items for review.
Reporting automation recipe
Generate weekly client, ops or performance reports from existing tools without manual copy-paste.
· Guides
Start with the playbooks that prevent wasted AI work.
How to choose your first AI workflow
Pick a workflow with real ROI and low rollout risk.
Why most SMB AI projects fail
Avoid unclear owners, poor data access and missing review loops.
AI deployment vs AI automation agency
Understand the difference between a demo and a deployed operating workflow.
Monthly AI implementation sprints
What a sprint includes and how to scale into a monthly pod.
· Workflow library
Ideas worth pressure-testing.
Use these as prompts for discovery. The right first workflow is usually narrow, repetitive, measurable and easy for the team to adopt.
· Checklists
Simple checks before you automate.
AI readiness checklist
Score workflow clarity, data access, tool maturity, budget and urgency.
Human-in-the-loop checklist
Define what AI can draft, what humans approve and what should never be automated.
Tool-stack audit
Map the systems your workflow already touches before building anything new.
Sprint handoff checklist
Document owners, SOPs, rollback paths and success metrics before launch.
· Need help choosing?