ExecutivesStrategy & ROI
The executive checklist: 30 questions before scaling AI
A verification routine across five dimensions — data, risk, integration, people and cost — to separate enthusiasm from readiness.
3 min read
Executive track
Technology decisions with numbers, risk and timeline.
Strategy, ROI, risk and real adoption cases for industrial automation and technology — for the people who approve investment.
Measurable return
Turning operational gains into defensible cash flow.
Adoption risk
What usually stalls projects between pilot and operation.
Applied cases
What worked in real plants, and at what cost.
Publications in this track
ExecutivesStrategy & ROI
A 12-month roadmap: from isolated pilot to knowledge platform
Wave sequencing, exit criteria per phase, what to centralize and what to federate — and the mistakes that cost a year.
3 min read
ExecutivesStrategy & ROI
Enterprise AI ROI: measuring what is not on the invoice
Baseline, metrics per use case, efficiency gain versus accumulated asset — and how to avoid endless pilots that never reach production.
3 min read
ExecutivesStrategy & ROI
How to calculate the ROI of an industrial automation project
A practical method for turning gains in availability, quality, and labor into a number the investment committee will actually engage with.
2 min read
ExecutivesIntegration & Legacy
Cloud, private cloud or on-premise: where your AI should run
A decision matrix by data sensitivity and criticality: total cost, sovereignty, open versus proprietary models, and exit strategy.
3 min read
ExecutivesGovernance & Compliance
An audit trail for decisions made with AI
What to record, how long to keep it, and how to answer an auditor, a customer or a regulator without depending on your vendor's goodwill.
3 min read
ExecutivesGovernance & Compliance
The AI committee: who decides, who approves, who answers
Roles, a risk-based approval matrix, an acceptable use policy and a use-case inventory — the minimum executive governance for scaling without surprises.
3 min read
ExecutivesGovernance & Compliance
Data privacy in the age of AI: GDPR and LGPD in practice
Legal basis, minimization, anonymization, impact assessments and model-vendor clauses — what changes when AI enters the workflow.
3 min read
ExecutivesAI & Agents
RAG is not magic: the real cost of giving AI enterprise context
Answer quality is a data and permission problem, not a model problem. What changes when the index must respect who can see what.
3 min read
ExecutivesIntegration & Legacy
Your ERP is 20 years old and AI needs to talk to it
Legacy integration patterns explained for the people who approve budgets — without rewriting the core or becoming hostage to a proprietary connector.
4 min read
ExecutivesGovernance & Compliance
The forgotten asset: turning AI interactions into auditable knowledge
How to capture, version and curate prompts, responses and decisions so every AI use improves the next one — instead of vanishing at the end of the session.
4 min read
ExecutivesGovernance & Compliance
Where what your employees type into AI ends up
The real path of a corporate prompt: retention, model training, subprocessors and data residency — and the questions that belong in the contract.
4 min read
ExecutivesAI & Agents
Prompt engineering didn't die. It moved up a layer.
What actually replaces the per-turn prompt in agentic systems — and where the risk goes when no one reviews the wording anymore.
9 min read
ExecutivesStrategy & ROI
Your company's ChatGPT is not an AI strategy
Individual licenses create personal gain and organizational loss. What a company forfeits when the knowledge produced with AI dies inside the chat window.
4 min read
Put it to work
Bring this into your company with the e.works platform
Everything we cover here — AI governance, legacy system integration, audit trails and preserved corporate knowledge — is available on the e.works platform at eworks.cloud.
e.works infrastructure on AWS
A managed environment protected by e.works on AWS, with encryption, per-company isolation, backup and high availability.
On-premises, in your environment
The same platform running in your company's data center or private cloud, when data sovereignty requires that nothing leaves your perimeter.
In either model your data stays yours — with access control, audit logging, configurable retention and guaranteed availability.
Newsletter
Technical and strategic content, once a month
Analysis on automation, industrial data and technology adoption. No spam.