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What is an AI chatbot?

You see a lot of pop-ups when you visit websites stating click here to chat. What can we help you with? Who are they and what is their purpose? These are called AI chatbots. Artificial Intelligence is a computer program designed to respond to human communication. Whether it is voice communication or a text message, these programs detect sequences of human communication patterns and predict the most logical response. If you are like me, they really annoy you when you say something or type something and you get caught in a loop of "Sorry, I didn't understand your input. Would you repeat that again please?"...

5 Costly Mistakes Companies Make When Outsourcing

5 Costly Mistakes Companies Make When Outsourcing Software Development (and How to Avoid Them)Outsourcing software development can accelerate growth or create long-term setbacks. Learn the five most common outsourcing mistakes and how to build partnerships that actually work.

Introduction

Outsourcing software development can help companies scale quickly, access specialized talent, and deliver solutions faster. But while outsourcing has clear advantages, it can also lead to disappointing results if not approached thoughtfully...

AI robot gazing  www.freepik.com

How Small and Medium Businesses Can Actually Use AI Today (Without Huge Budgets)

Artificial intelligence isn’t just for big corporations anymore. Today, small and medium businesses can use AI tools to save time, improve service, and make smarter decisions — without breaking the bank. Simple automations are a great place to start. For example, you can use tools like Zapier or Make to connect your email, CRM, and chat systems so that AI helps answer common questions or organizes customer requests automatically.

If you handle sensitive data, there are also private AI options that can run safely on your own systems or affordable cloud servers...

What is an AI Chatbot?

...Or when they display options in which you know that the options have nothing to do with your initial concern. Well these AI chatbots are here to stay and we have to know how to use them effectively to get the best results. When chatting with an AI chatbot we must give them commands or prompts. Prompts, as populary called, is what the chatbot receives. Once receiving these prompts, the use LLM, large language modules, to generate the most likely probability response that a human would give.

No, computers do not think! Thinking is a whole level of communication complexity that a highly sophisticated robot cannot do. Thinking requires a whole set of human emotions in which a machine does not possess.

Chatbots are trained to respond to human emotions by recognizing key words and prompts. Once these key words and prompts are recognized, programs output response words or phrases that would highly likely be said by a human. This is were probability comes in. The more data input, the higher the probably output is a match with what an actual human response would be. AI chatbots are clever programs that give a likely output designed to help us. Image by: juicy_fish_on_Freepik.com

Can you tell if you are talking to a human or a robot? Send us a comment.

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5 Costly Mistakes Companies Make When Outsourcing

...At Diversified Engineering Solutions, we’ve seen both sides of the story. Projects that thrive often do so because the collaboration is built on communication, trust, and shared understanding — not just contracts or low bids. According to Deloitte’s Global Outsourcing Survey, more than half of organizations outsource to cut costs, but only a fraction achieve the results they expect. The gap lies not in technology, but in how the relationship is managed. Here are five costly mistakes companies make when outsourcing software development — and how to avoid them.

1. Choosing the Lowest Bidder Instead of the Right Partner. Selecting a development partner based solely on price is one of the most common and expensive mistakes. The cheapest proposal often hides risks: unclear requirements, unrealistic timelines, or limited expertise. What initially seems like a cost-saving decision can result in poor-quality software, delays, and higher long-term expenses due to rework. How to avoid it:

Look beyond cost. Evaluate communication skills, past performance, and cultural fit. A good partner understands your business goals and challenges, not just your project requirements. Software development should be seen as an investment in capability, not just a line item in a budget.

2. Poor Communication and Misaligned Expectations, Even the best technical teams fail when communication breaks down. Many projects get off track simply because assumptions are made early and never revisited. A study by the Harvard Business Review found that poor communication is a top cause of project failure in distributed teams. Misalignment leads to endless revisions, missed deadlines, and frustration for both sides. How to avoid it: Define clear communication channels and cadence from the start. Regular updates, transparent documentation, and honest conversations help keep everyone aligned. Clear communication builds confidence — and trust.

3. Treating Outsourcing as a Transaction, Not a Partnership

Outsourcing works best when it’s treated as a collaboration, not a handoff. Many companies fall into the trap of “throwing requirements over the wall” and expecting results. But software isn’t a one-time product; it’s a living system that evolves. When developers are treated as vendors instead of partners, innovation fades and accountability weakens. How to avoid it:

Involve your outsourced team early in the process. Share your long-term goals, not just technical tasks. The best outcomes happen when both sides feel ownership of the result.

4. Ignoring Cultural and Time-Zone Alignment. Global talent brings incredible opportunities, but collaboration across cultures and time zones requires awareness. Differences in communication style, work pace, and decision-making can create unnecessary friction. A McKinsey & Company study on remote collaboration showed that cultural alignment and overlapping work hours are among the strongest predictors of success. How to avoid it:

Choose partners experienced in cross-cultural collaboration. Schedule overlapping hours for team discussions and foster an environment of mutual respect. Remember: successful projects are built by people, not just processes.

5. No Clear Ownership After Delivery. Many projects fail in the months following launch because no one clearly owns the system. When post-delivery responsibilities are undefined, issues go unresolved, documentation gets lost, and teams lose confidence in their own product. How to avoid it:

Plan for long-term maintenance before the project starts. Define who will manage updates, bug fixes, and technical support. A responsible partner will help transfer knowledge and ensure your internal team is prepared for the next phase. Conclusion:

Outsourcing Is About People, Not Just Projects. The best outsourcing relationships are built on trust, transparency, and shared purpose. Cost savings and technical expertise matter, but they’re not enough on their own. Real success happens when both teams care about the same outcome — delivering software that helps your business grow. At Diversified Engineering Solutions, we believe that great technology starts with great partnerships. If your company is considering outsourcing or wants to improve the way it collaborates with external teams, we’re here to help you build software that’s not only functional but future-ready.

References

Deloitte. 2023 Global Outsourcing Survey.

McKinsey & Company. Collaboration in the Age of Remote Work, 2023.

Harvard Business Review. Why Communication Breakdowns Happen in Remote Teams, 2022.

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How Small and Medium Businesses Can Actually Use AI Today (Without Huge Budgets)

These can be used to search documents, summarize reports, or assist your team internally — no massive infrastructure needed.

At Diversified Engineering Solutions, we focus on helping businesses apply AI in ways that make sense for their goals — improving real processes, not adding unnecessary complexity.

AI doesn’t have to be futuristic or expensive. It just needs to be useful.

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