Corporate Blog: Enterprise

Public LLMs are convenient, but not secure. If your business works with sensitive data, it’s time to take control. We tell you how to build your LLM: from choosing a model to implementing it in products.

Headless commerce, composable commerce, and MACH architecture are often used interchangeably, but they solve different problems. Learn how these approaches differ, how they work together, and which architecture may best support your commerce modernization strategy.

Marketplace plugins stop working the moment PowerPoint needs to talk to your CRM, enforce your brand guide, or handle data your legal team won’t let leave the building. This guide walks developers through building that missing tool: Office.js fundamentals, task pane patterns, enterprise integration, Copilot agents, and deployment that IT will actually approve.

AI demand forecasting combines historical, real-time and external data to predict customer demand more accurately than traditional methods. Learn how it works, what data and models it needs, measurable benefits, common challenges, industry use cases, integration with ERP and CRM systems, and how to implement it successfully.

AI adoption is booming, but connecting AI to your actual systems is where most businesses stall. This guide breaks down what AI integration services really include, how the process works step by step, what it costs, common pitfalls to avoid, and how to choose the right partner — plus the trends shaping 2026.

Generic AI prompts break down once teams scale. This article explores how custom AI skills bring structure to Cursor and Claude Code workflows, covering discovery, planning, implementation, and review. Learn why consistency matters, when custom skills are worth building, and how SCAND helps teams turn AI coding assistants into reliable, governed tools.

This article explains the key features to look for in mobile field service management software. It also compares off-the-shelf and custom mobile FSM apps and shows how SCAND approaches the development of mobile solutions for field service companies.

The article explains how SCAND uses a structured, spec-driven workflow to make AI-assisted software development safe and predictable for large, complex projects. It covers Git-based specifications, approved implementation plans, custom AI skills, human code review, security controls, and verification criteria to keep AI-generated code aligned with business and technical requirements.

Explore the list of the 15 leading AI consulting companies of 2026, from generative AI experts to leaders in automation and analytics. Learn who is helping businesses effectively implement artificial intelligence and achieve real results.

The article explains how AI can improve operations in field service management. It also covers the benefits, key 2026 trends, practical implementation steps, and how SCAND can help companies integrate AI into their existing field service systems.