Frequently Asked Questions
Everything you need to know about our services
Our AI consulting services start from $5,000 for a comprehensive strategy assessment and roadmap. Full implementation projects range from $20,000 to $200,000+ depending on complexity, data requirements, and integration needs. We offer flexible pricing models including fixed-price, time & materials, and retainer agreements.
Timeline varies by project scope. A basic chatbot or predictive model can be deployed in 4-8 weeks. Complex enterprise AI systems with custom ML models typically take 3-6 months from discovery to production deployment. We provide detailed timelines during the strategy phase.
While existing data is valuable, it's not always required. For some AI applications, we can use transfer learning or pre-trained models. We'll assess your data readiness during discovery and recommend strategies for data collection, augmentation, or synthetic data generation if needed.
ROI varies by use case, but our clients typically see 200-400% ROI within the first year. Common benefits include 60-80% reduction in manual processing time, 30-50% improvement in prediction accuracy, and significant cost savings through automation. We establish clear metrics upfront.
We design AI solutions for end-user adoption with intuitive interfaces. Basic users need minimal training (1-2 hours). For administrators and technical teams, we provide comprehensive documentation, hands-on training sessions, and ongoing support to ensure successful adoption and maintenance.
We implement continuous monitoring and retraining pipelines. Models are evaluated against real-world data regularly, and we set up alerts for performance degradation. Our support packages include periodic model updates, A/B testing of improvements, and adaptation to changing data patterns.
Yes, we specialize in seamless integration with existing enterprise systems including CRMs, ERPs, databases, and custom applications. We use API-first architecture, standardized data formats, and proven integration patterns to ensure compatibility with your tech stack.
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