AIify It / Field notes
Field notes on building, testing, and improving AI agents and business workflows. Practical lessons from AIify It.
Agent access and security
Plan AI agent access controls around permitted data and actions. Check authorization, role changes, stored copies, and offboarding before wider deployment.
Read the article →AI delivery
Prepare an AI agent pilot with clear setup instructions, editable business guidance, a supported chat client, and feedback your team can act on.
Read the article →AI delivery
Estimate AI archive processing costs with a representative canary batch, actual usage records, retry allowance, and clear budget approval checkpoints.
Read the article →Agent design
Put a small, fast model in front of your most capable one. Learn how to define the gate, test it with tricky cases, and decide which way it should fail.
Read the article →Workflow reliability
Your system of record locks records while people edit them, and API writes get no shared lock. Here's how to build a lock-aware write queue that works.
Read the article →Automation delivery
Estimate an AI automation project timeline by separating build effort from access, decisions, review availability, and the dependencies that set the launch date.
Read the article →Team operations
Plan AI automation adoption around real roles. Define changed responsibilities, practice useful decisions and check whether the new workflow works in daily use.
Read the article →Document automation
An AI billing audit flag can come from the wrong document, missing evidence, or an approved exception. Learn how to separate useful findings from avoidable noise.
Read the article →AI quality assurance
Learn how to review AI call quality assurance when scores miss context, call types need different rubrics, and managers cannot trace a rating to the conversation.
Read the article →Workflow integration
Automate call notes to CRM with clear intake fields, verified contact matching, an unmatched-call review queue and checks on the saved note.
Read the article →Workflow reliability
Learn how to prevent AI CRM automation from overwriting trusted fields, handle conflicting updates, and test whether existing records stay intact.
Read the article →Document automation
A missing field can mean unreadable, absent, or not applicable. Learn how to handle nulls in AI document extraction without hiding work that still needs review.
Read the article →Connecting existing systems
Can AI connect your existing CRM, email and accounting tools? Learn what to verify about interfaces, permissions and data flow before replacing business software.
Read the article →AI delivery
Compare two bounded AI pilot designs to see how isolating each case can remove the waiting, repeat requests and feedback the trial needs to examine.
Read the article →Planning and strategy
Separate missing facts, unsettled business policy and dependencies on other decisions so your next AI project expense addresses the actual blocker.
Read the article →Workflow reliability
Connect AI delivery quotes to existing bookings, shared capacity and expiring holds. Test competing orders before turning an estimated date into a promise.
Read the article →Integration delivery
Plan AI workflow handoff with clear code ownership, shared-component consumers, change tests and deployment responsibilities for the next revision.
Read the article →Workflow reliability
Build end-to-end tests for AI workflows that verify saved records, downstream actions, retries, and regressions beyond a successful API response.
Read the article →Workflow reliability
A real workflow review shows how a valid match can lose to a fallback. Learn what to inspect, which routing rules to make explicit, and how to test the fix.
Read the article →Agent access and security
Before your team points AI chat tools at client or patient records, swap names, birth dates, and ID numbers for tokens so the AI never sees who anyone is.
Read the article →Integration planning
Compare approved exports, scheduled reports, browser assistance, and manual checkpoints when business software lacks an API your team can use.
Read the article →Client operations
Automate client document collection with clear requirements, targeted reminders, separate receipt and acceptance states, and a defined escalation owner.
Read the article →Client relationships
Automate client check-ins with relevant timing, clear relationship status and practical suppression rules. Decide which conversations should reset the clock.
Read the article →Sales follow-up
Learn how to automate follow-up emails that stop after a reply: shared status, send-time checks, suppression rules and a clear handoff to the sales team.
Read the article →Reporting and decisions
Build automated reports around real decisions, reliable totals, visible high-impact exceptions and independent checks against the underlying work.
Read the article →Integration planning
Why an automation that pulls data from your accounting software needs its own registered app and API keys, and how to plan the approval steps so they don't hold up your project.
Read the article →Workflow automation
When an automation takes over a setup task people used to do by hand, it has to check what already exists first. Here's how to handle folders and records your team already created.
Read the article →Workflow automation
Automations run on saved logins, API keys and connected accounts, and those break quietly when a password is reset or a key expires. Here's how to keep track of them, choose expiry dates on purpose and catch the break the same day, with a short checklist.
Read the article →Integration design
Avoid duplicate business rules in AI automation. Identify the authoritative rule source, map its schema, handle versions, and check changes before integration.
Read the article →Automation strategy
Build an automation inventory that tracks purpose, owners and dependencies. Decide what to keep, adapt or retire as business needs and software change.
Read the article →Automation reliability
Plan permitted fallback work, visible queues, and restart reconciliation so an automation outage does not turn into missing jobs or duplicate actions.
Read the article →Integration discovery
Plan a useful browser network capture for integration discovery: verify responses, check the right tab, minimize sensitive data, and validate the export.
Read the article →Automation reliability
Monitor business automations for failed runs, missing activity, and stale results. Give each alert an owner and a recovery plan that avoids duplicate actions.
Read the article →Automation strategy
Trace a changed business rule through earlier workflow decisions, approval boundaries, messages and tests with a worked synthetic decision-dependency register.
Read the article →Planning and strategy
Review an AI investment with independent questions, testable assumptions and a credible alternative developed to the same operating detail as the favored plan.
Read the article →Automation strategy
Evaluate an AI automation consultant through scoped outcomes, relevant delivery evidence, integration assumptions, ownership, and support responsibilities.
Read the article →Workflow reliability
Learn how to test client onboarding automation beyond form submission, from pricing questions and missing owners to duplicate events and staged folder creation.
Read the article →Automation strategy
Compare an AI pilot with a better non-AI process. Keep cases, quality and support comparable so you can judge what deserves the next investment.
Read the article →Automation strategy
Test whether sales and delivery automations reward compatible decisions. Use a worked rush-order scorecard to expose displaced work and hidden costs.
Read the article →Buying AI automation
Understand custom AI automation costs: implementation, software, usage, maintenance and staff time. Compare proposals on the full cost of operating the workflow.
Read the article →Workflow integration
Check email automation sender identity, authorized mailboxes, Reply-To routing, and failure ownership before moving from test messages to production.
Read the article →Email automation
Turn incoming email into useful assigned work with clear task ownership, evidence, updates, and completion rules that prevent a growing pile of duplicate tasks.
Read the article →Email automation
Design email work order intake automation that accounts for message bodies, attachments, and permitted links, with visible gaps before a job is created.
Read the article →Team operations
Check what happens to workload, credit and productivity evidence when employees share AI improvements. Build a clear, bounded process for learning from shortcuts.
Read the article →AI operations
Plan human review for AI workflows with clear decision authority, useful evidence, reviewer capacity, backup coverage and visible exception queues.
Read the article →Workflow reliability
Find conflicting workflows that update the same records. Set shared state ownership, test delayed events, and prevent repeated actions during recovery.
Read the article →Company knowledge
Plan an internal AI knowledge assistant around real employee questions, approved SOPs, useful source references and clear limits on what it should answer.
Read the article →Knowledge assistants
Keep an AI knowledge base current with source ownership, version tracking, failed-update handling and checks that revised answers are actually available.
Read the article →Automation strategy
Measure AI automation ROI with retained human work, original and operating baselines, tested capacity and resilience checks before claiming savings.
Read the article →Team operations
Turn AI meeting action items into accountable work with confirmed owners, agreed due dates, one shared task record and meaningful completion evidence.
Read the article →Automation strategy
Choose between existing features, packaged AI, integrations, and a custom build by checking the real workflow gap, software roadmap, and ongoing ownership.
Read the article →Automation planning
Why automation ideas that all depend on one unconnected system get parked forever, and how to scan your backlog for the one fix that unlocks several at once.
Read the article →Automation planning
Prepare for AI automation discovery with real examples, a source-to-step map, named owners and clear acceptance criteria. Use this practical readiness checklist.
Read the article →Automation strategy
Explore a practical approach to progressive workflow automation: coordinate the full process, preserve human actions, and automate individual steps as they are ready.
Read the article →Workflow integration
Plan sales-to-delivery handoff automation that carries accepted scope into the right project, folders, tasks, and owner, with clear status written back to sales.
Read the article →Team operations
Respond to unofficial AI use by finding the unmet job, handling exposure through approved channels and testing a supported replacement staff can actually use.
Read the article →Email automation
Roll out email automation in small batches: size each round, watch the first one, own the pause, use unique links and feed bounces back into the next send.
Read the article →Sales operations
Spot stale CRM deals with meaningful activity dates, clear owners and separate cleanup queues. Build internal reminders your sales team can actually use.
Read the article →Workflow automation
Simplify a bloated automation by sorting every step into collect, decide, or deliver. Cut empty checks, batch lookups, and build something your team can fix.
Read the article →Workflow automation
Automate year-end contractor tax-form prep without losing vendors to name mismatches. Normalize names, use review buckets, and test against last year.
Read the article →Automation planning
Decide where to start with business process automation. Compare manual effort, business value, existing tools and readiness before choosing your first project.
Read the article →Practical guides and field notes to help you plan, test and improve business automation.