AI product ·
AI product discovery playbook
From opportunity to production scope: structure the decisions before development.
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Guides to build and evolve your projects.
Practical guidance to choose AI use cases, prepare a product and make informed technical decisions.
13 guides available
Automation ·
Is your workflow ready for AI automation?
A checklist to assess the process, data and governance before starting a pilot.
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Engineering ·
Organizing product teams in the age of AI agents
Define decisions, assisted tasks and reviews to keep a clear product direction.
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AI agents
AI agent requirements: what should you define?
Prepare actionable AI agent requirements covering tasks, data, tools, permissions, human review and measurable acceptance criteria.
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Products & architecture
AI agent security: define access and responsibilities
Frame AI agent security through permissions, data boundaries, sensitive actions, human approval, incident handling and maintenance ownership.
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AI agents
AI agent, chatbot or automation: how do you choose?
Compare chatbots, workflows and AI agents through user needs, expected actions, available data and the control your organisation requires.
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AI agents
AI agents in business: which use cases should you choose?
Choose a useful first AI agent use case with practical examples, a selection framework, human oversight and clear launch criteria.
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Automation
Automating customer requests with AI: where should you start?
Structure customer request handling through classification, context, drafts, approvals and exceptions while keeping control of customer relationships.
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Products & architecture
Choosing an AI development partner: useful questions to ask
Compare AI development partners through practical criteria covering discovery, architecture, integration, evaluation, handover and operations.
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AI agents
Enterprise RAG: prepare a useful knowledge base
Prepare documents for enterprise RAG with a clear scope, access rights, traceable sources, updates and answer evaluation before rollout.
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Products & architecture
From AI proof of concept to production: essential checks
Turn an AI proof of concept into an operational capability with quality checks, access controls, monitoring, failure handling and clear ownership.
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AI agents
How should you budget for AI agent development?
Understand AI agent cost drivers across discovery, integrations, evaluation, operation and maintenance so you can compare realistic proposals.
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Products & architecture
Integrating AI into an existing application: a staged approach
Add AI to an existing application through workflow selection, architecture, permissions, interface design, evaluation and staged rollout.
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