AI Training & Consulting
Bridge the AI knowledge gap in your organization. From executive strategy sessions to hands-on developer workshops, we help your team understand, evaluate, and adopt AI technologies confidently — so you make smart investments and build internal capabilities that last.
Talk to Our AI AdvisorsTraining & Consulting Services
Practical AI education and strategy — no hype, no buzzwords, just what your team needs to succeed
AI Strategy & Roadmap
We work with your leadership team to identify high-impact AI opportunities, evaluate build vs buy decisions, assess organizational readiness, and create a prioritized 12-18 month AI roadmap aligned with your business goals and budget.
Executive AI Briefings
Half-day and full-day sessions for C-suite and senior leadership. We cut through the hype and explain what AI can and can't do for your industry, with real case studies, competitive analysis, and honest ROI projections. No sales pitches.
Developer AI Workshops
Hands-on workshops where your engineering team builds real AI features: prompt engineering, RAG implementation, fine-tuning, agent development, and production deployment. Participants leave with working code they can adapt for your products.
AI Use Case Assessment
We evaluate your specific business processes and identify where AI delivers real ROI vs where it's just hype. For each opportunity, we estimate implementation effort, expected impact, data readiness, and recommended approach.
Proof of Concept Development
We build rapid proof-of-concepts (2-4 weeks) to validate AI opportunities before you commit to full implementation. Each PoC includes measurable success criteria, realistic data, and a clear go/no-go recommendation.
AI Governance & Ethics
Develop AI governance frameworks, responsible AI policies, bias detection processes, and compliance strategies. We help you deploy AI responsibly with clear guidelines for data usage, model monitoring, and human oversight.
Why Work With Us
Practitioners, not just consultants — we build AI systems daily and teach from real experience
Practitioners Who Build Daily
Industry-Specific Examples
Hands-On, Not PowerPoint
Vendor-Neutral Advice
Measurable Outcomes Focus
Post-Training Support Included
Banking Group — AI Strategy Saves $2M in Wasted Investment
A regional banking group was about to invest $3M in an AI-powered fraud detection system from a vendor who promised "99% accuracy." They asked us to do an independent assessment before signing.
Our evaluation revealed the vendor's accuracy claims were based on balanced test data — but real-world fraud is 0.1% of transactions, making their "99% accuracy" meaningless (a model that always says "not fraud" would be 99.9% accurate). We helped them define proper evaluation metrics (precision, recall, false positive rate at threshold), negotiate a proper PoC with their own data, and ultimately select a different solution that performed significantly better in real conditions. Estimated savings: $2M in avoided wasted investment.
Engineering Team of 80 — From Zero to AI-Capable in 8 Weeks
A mid-size software company wanted to add AI features to their products but their engineering team had no LLM experience. They were hiring AI engineers at $300K+ salaries and still couldn't find enough qualified candidates.
We designed an 8-week training program: Week 1-2 covered AI fundamentals and prompt engineering. Week 3-4 focused on RAG implementation with hands-on projects using their actual data. Week 5-6 covered fine-tuning and production deployment. Week 7-8 was a capstone project where teams built AI features for their actual products. By the end, 12 engineers were confident AI practitioners, and 3 features built during the training were shipped to production within 2 months.
Retail Chain — AI Roadmap Leads to 3 Successful Deployments
A 200-store retail chain knew they "needed AI" but didn't know where to start. Their IT team was overwhelmed with vendor pitches promising everything from AI-powered inventory to automated store layouts. They needed clarity on what was real vs hype.
We conducted a 3-week assessment: interviewed 15 stakeholders, analyzed their data infrastructure, and evaluated 8 potential AI use cases. We ranked each by business impact, data readiness, implementation complexity, and timeline. The top 3 recommendations — demand forecasting, automated reorder points, and customer churn prediction — were all implemented over the following year, delivering $4.5M in annual savings.
AI Training & Consulting FAQ
Ready to Build AI Capabilities in Your Organization?
Whether you need strategic guidance or hands-on training, our AI experts will help your team navigate the AI landscape with confidence. Start with a free consultation.
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