croissantAI agents, minus the mystery.
Fresh thinking for small-business owners and operations teams. Practical recipes for AI agents, business automation, and getting your afternoon back.
- Operations
What to monitor after launching an AI agent
Track failures, unanswered work, stale tasks, and useful outcomes so an agent remains an owned business process.
- Operations
Preventing duplicate emails and tasks in AI automations
Understand why retries cause duplicates and how to build workflows that recover without repeating external actions.
- Operations
Human approval in AI workflows: what should stay with your team?
Set approval rules by consequence so agents handle routine work while people keep control of important decisions.
- Planning
How to write a useful brief for an AI agent project
Give an implementation team the inputs, boundaries, examples, and outcomes needed to scope a practical agent workflow.
- AI agents
How to prepare your business knowledge for an AI agent
Organise approved answers, current documents, and ownership so an agent has dependable information to work from.
- Planning
How to measure the value of AI automation in a small business
Evaluate time, review effort, errors, and operational outcomes instead of relying on impressive-looking activity counts.
- Planning
How to choose your first business automation project
Prioritise a workflow that is frequent, understandable, and small enough to test before expanding.
- Email
How to automate customer enquiries without losing the personal touch
Design an enquiry workflow that captures context, routes requests, and keeps important decisions with your team.
- Operations
How AI agents can improve task handoffs between teams
Turn vague forwards into owned tasks with context, a defined result, and a route for questions.
- Email
From website contact form to follow-up: an automation blueprint
Connect your contact form to a real process so enquiries become owned tasks rather than forgotten notifications.
- Planning
Choosing an AI automation partner: questions worth asking
Evaluate a provider by the workflow they can explain, the evidence they show, and the operating responsibilities they clarify.
- Reporting
Automating weekly reports with AI: a practical workflow
Build a reporting workflow that collects source records, separates facts from interpretation, and gives readers a useful summary.
- AI agents
An AI research assistant for your business: a sensible operating model
Build research workflows that gather relevant information, record sources, and distinguish evidence from a suggested conclusion.
- Planning
An AI automation pilot checklist for operations teams
Run a bounded pilot with realistic examples, clear acceptance criteria, and a plan for taking over when something fails.
- Planning
Agentic automation vs workflow automation: which do you need?
Understand when fixed rules are enough and when an AI agent can help interpret information and choose the next step.
- Operations
AI-assisted CRM updates: reduce copying without polluting your records
Design a CRM update workflow that proposes accurate changes, avoids duplicates, and keeps a clear record of edits.
- Email
AI email triage for a shared inbox: a practical setup guide
Turn a shared inbox into assigned, traceable work with clear categories and a route for exceptions.
- Reporting
AI document summaries: how to keep them useful and checkable
Use structured summaries, source references, and review rules to avoid losing important details in long documents.
- AI agents
AI agents vs chatbots: the difference for business buyers
Understand the difference between answering a question and completing a workflow before choosing a solution.
- AI agents
AI agents for small business: where to start
Choose a useful first AI-agent project, set approval boundaries, and test an enquiry-assistant pilot before expanding its access.