Custom AI Development That  Multiplies Your Impact

The cost of AI solutions ranges from $5,000 to $150,000+, with most clients achieving 500% ROI within 12 months. Quick deployment solutions using pre-trained models start at $5,000-$9,500, delivering immediate business impact. More customized solutions typically range from $15,000 to $75,000, while enterprise-scale implementations with complex requirements range from $75,000 to $150,000+. Factors influencing cost include the type of AI system (such as predictive analytics, machine learning, or natural language processing), integration requirements, data volume, and maintenance needs. Our clients typically see first ROI within 8 weeks, with break-even at 4.8 months through increased efficiency, reduced operational costs, and new revenue opportunities. We offer flexible payment options including milestone-based payments and monthly subscriptions to help manage the investment.

Our streamlined development process delivers custom AI solutions in 72 hours to 8 weeks, depending on complexity. Simple implementations can be live in just 3 days, while more complex multi-AI systems typically take 4-8 weeks. Using our agile methodology, you'll see working components and early ROI throughout development, with most clients achieving first results within 8 weeks of project kickoff.

AI is designed to augment and enhance human capabilities, not replace employees. Successful AI implementation typically leads to role evolution rather than elimination. For example, when we implemented AI-powered customer service systems, service representatives were freed from routine queries to handle complex cases, improving both employee satisfaction and customer experience. AI handles repetitive tasks while employees focus on strategic thinking, relationship building, and complex decision-making that requires human judgment and creativity.

AI is designed to augment and enhance human capabilities, not replace employees. Successful AI implementation typically leads to role evolution rather than elimination. For example, when we implemented AI-powered customer service systems, service representatives were freed from routine queries to handle complex cases, improving both employee satisfaction and customer experience. AI handles repetitive tasks while employees focus on strategic thinking, relationship building, and complex decision-making that requires human judgment and creativity.

To begin AI development, you need relevant historical data in digital format, though the specific requirements vary by project. Most solutions can be trained on 3-6 months of clean, structured data. Common data types include customer transactions, operational metrics, sales records, and customer interactions. If your data isn't perfectly organized, don't worry - our team includes data scientists who can help clean, structure, and enhance your existing data to make it AI-ready. We also implement data collection systems if you need to gather new types of data for your AI solution.