The new software stack: How AI is changing SaaS, apps, and enterprise
Dev.to / 6/15/2026
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Key Points
- The article argues that AI-driven changes to SaaS, apps, and enterprise workflows can create compounding returns when treated as an ongoing product decision rather than a one-time project.
- It emphasizes the need to evaluate initiatives against your existing technology stack, compliance requirements, and team capacity before signing multi-year platform contracts.
- It highlights common failure modes—such as purchasing tools before mapping workflows, skipping data quality checks, and underestimating change management—and recommends a phased rollout with measurable milestones.
- A practical playbook is proposed: start with a narrow use case, set success metrics from the beginning, and pair business owners with engineering early, including parallel design for operational areas like inventory, billing, and staff training.
- Progressino positions itself as an end-to-end partner, combining an AI product studio with modern retail (ProPOS), custom ERP delivery, and digital services to reduce vendor fragmentation across strategy, design, build, and launch.
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