The future of intelligent business: a practical outlook for 2027
A report on how data, automation and AI are reshaping enterprise operating models, and what leaders should prioritize next.
By Research team, Strategy & Insights
This outlook looks at common patterns in technology transformation across sectors such as banking, healthcare, retail and the public sector. It is intended as a practical guide for leaders planning technology investment over the next eighteen months.
Executive summary
- Data foundations remain the constraint for most AI ambitions.
- Automation is moving from tasks to end-to-end processes.
- Security and governance are becoming design inputs rather than review gates.
- Talent models are shifting toward product teams with embedded specialists.
Where value is concentrating
Value is concentrating in organizations that combine three capabilities: reliable data, a modern engineering platform and a disciplined way of choosing what to automate. Organizations missing any one of these tend to accumulate pilots rather than outcomes.
Recommendations
Prioritize a small number of decisions with measurable business value, invest in the shared platform capabilities that make them repeatable, and establish governance that is proportionate to risk.
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