Our Approach
We don’t chase AI hype. We build practical solutions that solve real problems and operate within your security and compliance boundaries.
Every engagement starts with understanding your mission context, data readiness, and organizational capacity for change. From there, we design AI and automation solutions that deliver measurable value—whether that’s reducing manual processing time, improving forecast accuracy, or enabling faster decisions at the point of action.
Core Capabilities
- AI Strategy & Responsible Adoption: Define vision, governance, ethical frameworks, and enterprise readiness for AI transformation. We help leadership understand what’s possible, what’s practical, and what’s safe—building roadmaps that align AI investments with mission priorities.
- Intelligent Automation: Deploy secure automation that removes manual burden across mission and business functions. We build workflows using Power Automate, Azure Logic Apps, and UiPath that streamline approvals, data entry, notifications, and cross-system processes.
- Machine Learning & Predictive Intelligence: Build models, chatbots, copilots, agents, and decision systems aligned to mission outcomes. We develop forecasting, classification, anomaly detection, and recommendation solutions using Azure ML, Python, and Microsoft Fabric.
- Document Intelligence & NLP Automation: Extract, classify, summarize, and validate documents using NLP, OCR, and LLM-powered cognitive services. We automate invoice processing, contract review, correspondence routing, and records management using Azure AI Document Intelligence and OpenAI.
- AI-Ready Data Engineering: Design data pipelines and architectures optimized for AI training, inference, and automation workflows. We build feature stores, embedding pipelines, and vector databases that make your data usable for machine learning and generative AI.
- MLOps & Lifecycle Sustainment: Operationalize models with monitoring, retraining, guardrails, and continuous optimization. We ensure AI solutions don’t degrade over time—implementing drift detection, performance tracking, and automated retraining pipelines.

Outcomes
- Reduced manual workload through automated workflows and intelligent document processing.
- Faster, more consistent decisions supported by predictive models and AI-assisted recommendations.
- Responsible AI adoption with governance frameworks that address risk, bias, and compliance.
- Operational AI that sustains value—not pilot projects that stall after launch.
- Human capability amplified, not replaced—AI that supports your workforce rather than displacing it.
Use Case: Centralizing Knowledge Management
Partnering with HyerTek initially through one of its Power Platform Bootcamps, the Air Force organization quickly recognized the potential of low-code automation to solve broader information management challenges.
What began as a training engagement evolved into a full-scale digital transformation — leveraging the Microsoft Power Platform and Azure Cloud to modernize enterprise knowledge processes.
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