AI & Intelligent Automation

Our Approach

Every AI & Intelligent Automation engagement follows our proven ACTS methodology — grounded in responsible AI governance, secure engineering, and measurable outcomes.

A — Assess: AI readiness evaluation, data maturity assessment, use case prioritization, security and compliance review, and a practical AI roadmap aligned to mission priorities.

C — Construct: Model development, automation builds, integration with enterprise systems, governance frameworks, and deployment into secure environments including GCC High and IL5.

T — Train: User enablement, AI literacy programs, administrator training, and change management to ensure your team understands, trusts, and adopts AI-driven capabilities.

S — Sustain: Model monitoring, performance tracking, drift detection, retraining pipelines, and continuous optimization — so your AI solutions improve over time, not degrade.

From first assessment to long-term sustainment, every engagement is built to deliver AI that works in production, not just in demos.

What We Solve

AI only matters when it solves a real problem. These are the six disciplines we bring to help organizations move from AI curiosity to operational impact — responsibly, securely, and at scale.

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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.

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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.

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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.

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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.

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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.

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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.

Each discipline is delivered independently or as part of a comprehensive AI engagement — from a single automation workflow to a full enterprise AI strategy and deployment.

Customer Outcomes

Here's what organizations achieve through AI and intelligent automation engagement with HyerTek:

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.

Every outcome is delivered through our ACTS methodology — assessed to your environment, constructed to your requirements, trained to your team, and sustained for the long term.

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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