Corporate Blog: Artificial Intelligence

The article explains how field service scheduling and dispatch software helps businesses plan technician assignments, manage urgent requests, and adapt schedules in real time. It also covers the key features, role of AI, factors to consider when choosing software, and when a custom system may be the better option.

This article compares FrameMaker and Word for technical documentation and explains the warning signs that Word is no longer keeping up with complex documentation needs. It also covers when FrameMaker or DITA makes sense, when other tools may be a better fit, and how to approach the move from Word.

AI works better when it understands how a business actually operates. Learn how an enterprise context layer connects data, rules, history, permissions, and knowledge to give assistants and agents reliable organizational context.

Explore how AI is transforming technical writing in 2026. From drafting and editing to DITA conversion, localization, and documentation search. See where AI delivers value, why human review matters, and how to handle sensitive documentation securely.

AI is reshaping project management, shifting the PM’s role from task coordination to strategic delivery leadership. Discover how SCAND combines AI automation with human expertise to streamline workflows, optimize resources, and improve software delivery efficiency.

Agentic development is not just about adopting AI coding tools. Learn how specifications, review, security, metrics, and delivery processes determine whether your team is ready to delegate more software work to AI agents.

See how SCAND used AI-assisted discovery to reduce business analysis and prototyping effort to 84 hours, compared with a traditional estimate of 220 hours. Explore the workflow, project results, and lessons from a real fintech SaaS project.

The article explains whether Lovable is secure, what security protections and risks businesses should be aware of, and where its managed backend and infrastructure may fall short for production use.

Technical documentation becomes harder to manage as products, versions, teams, and content volumes grow. Explore the main types of technical documentation software and tools in 2026, their strengths and limitations, and when it makes sense to move from simple editors to structured enterprise documentation systems.

This article explores TypeSafe AI Jev, a decision-focused AI model built for structured business decisions. It covers how Jev works, its use cases, cost, limitations, and how it could fit into enterprise AI workflows.