Insights

Practical thinking
on AI for business.

We write about what we see in the field — what works, what fails, and how business leaders can think clearly about AI implementation.

Report: 86% of All Enterprises Lack a Clear AI Strategy of Who is in Charge – DBusiness Magazine

Most enterprises are debating whether AI belongs under IT or a Chief AI Officer, but governance without capability is just bureaucracy. The real question isn't who's in charge of AI—it's who's accountable for business outcomes and has the power to kill projects that aren't working. Clear AI ownership means authority to audit data quality, consolidate redundant experiments, and shut down tools that deliver nothing.

The Data Readiness Assessment: What to Do Before You Build Anything

The most expensive mistake in AI implementation is discovering data problems after the project is already resourced and underway. Budget has been allocated, vendor agreements signed, timelines communicated…

Model Drift Is Inevitable. Here’s How to Manage It Before It Manages You.

model-drift: Every AI model in production will eventually degrade. The question is whether you find out from your monitoring system or from your customers.

AI and Your ERP: What CIOs Need to Know Before They Start

ai-and-erp: Integrating AI into an existing ERP system is rarely as straightforward as vendors suggest. Here's what the integration actually involves — and where projects typically break.

How to Prioritize AI Use Cases: A Framework for Business Leaders

prioritize-ai-use-cases: Not all AI use cases are equal. A practical scoring model for evaluating AI opportunities by business value, feasibility, and strategic alignment.

Build, Buy, or Configure: Choosing the Right AI Approach for Your Use Case

build-buy-configure: When does a business need a custom AI model versus a configured off-the-shelf tool? The answer depends on factors most organizations don't evaluate systematically.

Document Processing Automation: A Practical Implementation Guide

document-processing-automation: How to approach the automation of document-heavy workflows — from extraction and classification to validation and routing — with current AI capabilities.

5 Common Salesforce Implementation Mistakes Agile Sales Teams Should Avoid

Salesforce is a very powerful Customer Relationship Management (CRM) when implemented and used correctly. However, many small and medium businesses attempt in-house Salesforce implementations or choose low-cost, low-expertise…

Why Buy ERP?

Why Buy ERP? “Why buy an ERP?” This is a question that I hear from many different sources almost every day. The reason for this question is very…

How Salesforce in Manufacturing Leverages CRM Technology to Improve Sales Results

Salesforce in manufacturing businesses works well on a large human or consumer base, and thus it is preciously essential to deal with the client’s relations. Salesforce in here…