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 practical framework for deciding whether to fix an individual incident, eliminate its root cause, or redesign the process based on frequency, impact, and risk.
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Set rules for detecting duplicate customers, deciding which records to merge, and protecting useful data through confidence levels, human review, and traceability.
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Learn how to assess whether you can replace a SaaS solution without losing data or disrupting workflows by reviewing exports, dependencies, exit tests, and responsibilities.
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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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Learn how to prioritize errors in digital processes using operational criteria to block, alert, or correct them without unnecessarily slowing the business.
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A practical framework for deciding whether to keep, redesign, restrict, or retire a digital feature using evidence, risk controls, and reversibility.
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Choose between real-time and batch integration based on the cost of delay, volume, available recovery options, and operational capacity.
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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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Design an order reconciliation process to compare sales, payment, delivery, and customer service, resolve issues, and prevent discrepancies.
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Design an exception queue to stop, explain, and recover automations with human control, traceability, and safe actions.
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