Software and SaaS development
Digital products that solve, scale and evolve.
Insights
Guides, analysis and lessons on product, artificial intelligence, growth, communications and cloud.
Editorial themes
Digital products that solve, scale and evolve.
AI systems for real-world processes.
Demand, catalogue, partners and conversion.
Every conversation in the right channel.
Available, observable and ready services.
A spreadsheet can support useful processes for years. This framework helps identify when its flexibility becomes an operational risk.
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Learn to distinguish functional history, audit trails, and operational traceability to record the right events, protect data, and provide useful evidence.
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A practical framework for assigning autonomy to automations based on impact, reversibility, uncertainty, context, and the ability to correct errors.
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A practical framework for defining data retention, archiving, anonymization, and deletion without disrupting operations or increasing risk.
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Learn how to select the first process to digitise with a practical matrix covering impact, urgency, operational capacity, risks and dependencies.
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Design accessible internal tools for searching, editing, approving, and resolving issues without blocking critical team tasks.
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Learn how to check whether a process has sufficient rules, data, and controls before connecting systems and automating a manual task.
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Guide to planning, testing, and validating a data migration between systems, with controlled parallel operation and evidence-based rollback.
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Design chat escalation to agents that preserves useful context, protects sensitive data, and reduces repetition, waiting times, and reassignments.
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A guide to turning scattered approvals into traceable digital workflows, with proportionate evidence, controlled exceptions, and operational continuity.
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A guide to defining verifiable data contracts, managing changes, and detecting incompatibilities before they affect integrations.
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