Resources for operational leaders
The blog of ProjectCore.
Reference guides to understand processes, sales, capacity, administration, investments, automation and AI systems that work outside of the demo.
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Content to make better decisions before building.
Usable frameworks, examples identified as hypothetical, and criteria for measuring problems before choosing technology.
Fear of AI also has a cost for the company
Blind adoption and rejection out of fear are two mistakes. How to build judgment, experiment with control and learn before an urgent decision forces you to do it quickly.
Building custom software has never been so accessible
AI for development, APIs, cloud, automation and reusable components are moving the threshold between buying, composing and building.
Who is it up to today to find the right information in your company?
A guide to designing sources of truth, ownership, states, traceability and reliable access without turning another tool into a new silo.
How to Design a Business Tracking System That Doesn't Rely on Memory
Ownership, statuses, next action, SLA, CRM, automation, metrics and handoff to avoid losing opportunities between conversations.
How to scale a company without multiplying coordination
Capacity, bottlenecks, decision rights, contracting, exceptions and operational architecture to grow without escalating friction.
How to reduce administrative work without losing control
How to separate control from bureaucracy, eliminate double entry, design exceptions and recover capacity without blindly automating.
Governance and risk in AI agents: what to control before giving autonomy
Minimum permissions, human supervision, evaluation, idempotence, safe failures, observability and supplier continuity.
How to know if a process needs automation
Real map, exceptions, data, scoring, pilot, observability and operation: a method to decide what deserves to be automated.
How to calculate the ROI of an implementation without inventing figures
Baseline, TCO, captureable savings, payback, scenarios, sensitivity and subsequent measurement to build a defensible business case.
Enterprise AI: start with the process, not the model
Architecture, autonomy, permissions, evaluation, risk, observability and operation with official references from NIST and the European Commission.