AI Solutions Engineered for Real-World Success
Work with our expert engineers to identify where AI can solve your biggest challenges
We build intelligent agents and AI powered applications that understand your unique business needs, automate your most time-consuming or repetitive workflows, and turn complex documents and data into actionable insights and shared knowledge. Our solutions help you serve more customers and increase productivity, without growing your staff.
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AI Services
AI Viability Assessment
Identify which business processes are actually suitable for AI automation.
Key points:
- Collaborative brainstorming & workflow analysis
- Limited proof of concept to test technical feasibility
- Clear viability report with honest recommendations (including when AI isn’t right)
Takeaway: Targeted opportunities, feasibility tested, and a roadmap for next steps (or alternatives).
AI Readiness Assessment
Get your “data house” in order—accessible, clean, and AI-ready.
Key points:
- Comprehensive data auditing & stakeholder interviews
- Evaluate data maturity, API capabilities, and integration points
- Gap analysis and a prioritized remediation roadmap
Takeaway: Know exactly what must happen before AI can deliver real value.
Agent Development / Workflow Optimization
Intelligent agents handle routine decisions, process documents, and manage workflows.
Key points:
- Design and build custom AI agents
- Integrate with your existing systems
- Automate complex multi-step processes end to end with intelligent exception handling and escalation
Takeaway: Free teams from repetitive tasks so people focus on what matters most.
AI Chatbots and Search
Surface the right answers from your knowledge base.
Key points:
- Understand context and learn from your specific content
- Provide accurate responses while maintaining brand voice and business rules
- For customer support and internal knowledge management
Takeaway: Make finding information natural and fast.
Capabilities
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Data Excellence
The performance of AI is only as good as the data that you provide it.
Large language models, or LLMs, perform best when you can provide as much data (“context”) as possible, be specific about what you are asking, and instruct it on how to respond, providing example queries and responses. Our engineers have a wealth of experience in building data pipelines that pull in, process, and structure data. This is important for extracting valuable insights and driving AI initiatives. Your technology strategy should be a data-first strategy. That’s how you unlock AI’s real value.