Digital Marketing Blog
Practical SEO, growth, and engineering notes for teams building revenue online.
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How do we let staff challenge an AI answer and improve the underlying source?
Build a staff feedback loop that captures disputed AI claims, routes evidence to document owners, and checks approved corrections before closing cases.
How do we let customers check case progress without exposing somebody else's record?
Design customer case-status checks with verified identity, restricted lookups and minimal fields, plus a reusable brief for handling exceptions safely.
How do we let an AI agent search records while keeping write access separate?
Design AI record search with restricted read tools, independent write authorisation and practical tests for missing records, duplicates and hostile source text.
How do we know whether a Make AI Agent's visible decisions are enough for an audit?
Compare Make AI Agent decision traces with action, approval and outcome evidence, using a gap checklist for reviewer identity, source versions and retention.
How do we keep task deadlines consistent between a calendar and a project board?
Choose which due date wins, handle manual edits and cancellations, and use a practical ownership rule to keep calendar and project board deadlines aligned.
How do we keep spoken amounts and reference numbers accurate in an AI call summary?
Keep spoken amounts, dates and references accurate in AI call summaries with explicit fields, clear read-backs, source timestamps and a reusable review runbook.
How do we keep audit logs useful without storing full customer conversations indefinitely?
Create a practical AI audit-log schema with action references, trusted reviewer identity, verified outcomes and owner-defined access and retention decisions.
How do we keep an AI lead score from treating a missing budget as a bad budget?
Keep missing budgets separate from poor fit in AI lead scoring, with a reusable decision table, follow-up questions and worked examples for your sales team.
How do we keep a weekly report from double-counting reopened support tickets?
Define ticket, closure-event and end-state measures separately, reconcile reopened cases with stable IDs, and verify totals before AI writes weekly commentary.
How do we keep a support bot from restarting the same troubleshooting steps?
Keep completed troubleshooting steps and customer outcomes in an active case record, with clear rules for clarification, justified repeats and new issues.
How do we keep a knowledge assistant useful when product manuals have conflicting instructions?
Use product and version filters, compare conflicting manual instructions, and give technical owners a clear evidence pack to resolve uncertain AI answers.
How do we handle offline technician notes without losing or duplicating tasks later?
Design an offline note queue with stable job-event IDs, visible sync states and conflict handling so reconnecting does not silently lose or duplicate tasks.
How do we handle a WhatsApp enquiry that arrives after the support window closes?
Handle after-hours WhatsApp enquiries with a message-state checklist covering reply timing, approved templates, consent, duplicates and human escalation.
How do we group repeated maintenance issues without assuming they share one cause?
Group maintenance records by equipment and reported symptoms, preserve separate diagnoses, and prepare an evidence-linked pattern report for technical review.
How do we follow up on a valuation request without promising a sale price?
Prepare a property valuation appointment brief, collect access preferences, and keep price judgement with the agent using a bounded follow-up process.
How do we extract dates from documents that mix South African and US formats?
Use explicit format rules, retain document evidence and send ambiguous South African and US dates for human confirmation with a reusable review policy.
How do we extract contract renewal dates without treating every date as a deadline?
Extract contract dates by purpose and trigger, preserve clause references and uncertainty, and obtain professional approval before creating a reminder schedule.
How do we estimate the human review workload left after document automation?
Plan human review capacity from pilot exception types, observed handling time and peak volumes, keeping unresolved cases and specialist queues visible.
How do we ensure property enquiry records stay with the correct branch and agent?
Route property enquiries through verified listing, branch and agent IDs, keep handover history, and send ownership conflicts to a manager for resolution.
How do we detect a duplicate supplier invoice when the reference is slightly different?
Compare supplier identity, dates, amounts and invoice lines to flag possible duplicates, then use a practical rule set for finance review and exceptions.
How do we design an AI intake workflow for documents containing children's information?
Prepare a privacy-review brief for AI document intake involving children, with minimal fields, authority questions, processing details and clear hold rules.
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