Cognitive Agentics helps businesses stop wasting time on manual work. We build AI solutions that automate repetitive tasks, make sense of your documents, and give your customers a better experience.
Cognitive Agentics is led by Kris Frost, whose career spans more than 26 years delivering business systems, integrations, support experiences, and customer-facing applications, including work in Fortune 100 environments. Much of that experience spans the Microsoft technology ecosystem, but the enduring skill is choosing and connecting the right technology for the operation.
We saw teams buried in spreadsheets, customers waiting on hold for answers that already existed in a document somewhere, and managers making decisions without the data they needed — because pulling reports took too long. We know these problems because we've solved them at scale.
That's why we focus on practical AI. Not flashy tech demos. Solutions that connect to your existing tools, documents, and data. AI that understands the context of your business and uses your current systems to get work done — without replacing what already works.
We bring enterprise-grade experience to businesses of every size and choose technology based on fit, security, cost, and what your team already uses, not allegiance to one vendor.
The experience behind your project
Kris has spent more than 26 years taking on the technology problems that resist easy answers. He founded Cognitive Agentics to give organizations direct access to that depth: the person discovering the problem also architects the solution, writes critical parts of it, and stays accountable through production delivery.
Today he builds custom agentic applications with Microsoft Agent Framework, integrates production solutions with Azure AI Foundry, develops MCP-powered tools and custom VS Code extensions, and creates retrieval and analytical workflows over complex business knowledge. That work rests on an unusually broad foundation in cloud diagnostics, software architecture, distributed business systems, networking, identity, data, and low-level troubleshooting.
His career includes two chapters at Microsoft: an earlier progression through Windows networking, Premier Support, and DNS technical leadership, and a later chapter architecting AI and diagnostic solutions for enterprise support and operations. Between those chapters, he spent years delivering custom platforms across healthcare, fuel distribution, banking, manufacturing, and transportation.
The common thread is not a particular platform. It is the ability to enter a complex environment, understand how the technical and operational pieces interact, find the real constraint, and build something that produces a durable business result.
Understand the operation first. Use AI where it creates leverage. Build a system the client can trust, explain, and maintain.
Career context
Kris's Microsoft experience spans Premier customer engineering, Windows networking and DNS, Azure service diagnostics, AI platform architecture, and agent-based systems for large support and operations environments.
Cognitive Agentics is independently owned and operated. It does not represent Microsoft; clients engage the firm for Kris's experience, judgment, and direct delivery.
Current AI practice
Not isolated chatbots or proof-of-concept prompts. Kris works across the architecture required to make AI useful inside real products, engineering teams, and operations.
Designs and builds supervisor and specialist-agent systems with Microsoft Agent Framework, including routing, coordinated tool use, shared context, guardrails, telemetry, and human approval for consequential actions.
Microsoft Agent Framework · C#/.NET · Multi-agent orchestration
Connects custom applications with Azure AI Foundry models, agent capabilities, knowledge sources, and operational services while keeping business-specific orchestration and user experience under the client's control.
Azure AI Foundry · Azure AI Search · Model integration
Builds custom VS Code extensions and MCP-enabled tools that bring domain knowledge, guided workflows, and AI assistance directly into the environment where technical teams already investigate, build, and make decisions.
VS Code Extension API · MCP servers · Developer experience
Creates grounded RAG workflows, document-intelligence pipelines, transcript analysis, and schema-aware Kusto assistance that can work across large knowledge sets without pretending an LLM's context window is a database.
RAG · Kusto/KQL · Retrieval · Evaluation
Engineering depth
Current AI work is backed by decades of architecture, product delivery, and root-cause investigation across cloud services and business-critical environments.
In his more recent Microsoft work, Kris architected a multi-agent orchestration layer supporting more than 250,000 conversations per month and built an AI simulation platform used by more than 10,000 people for realistic sales and support training. Additional systems analyze transcripts, ground answers in support knowledge, and help investigators generate accurate KQL from unfamiliar data schemas.
Applied value: AI designed around scale, evaluation, evidence, controls, and measurable outcomes.
Designed and built AppLens detectors for Azure services that surface in the Azure Portal's Diagnose and solve problems experience. The detectors turn platform telemetry and known failure patterns into guided diagnosis for customers and support engineers, delivering up to $18 million per year in support-case deflection.
Applied value: observability that explains what is wrong and guides the next action.
During his earlier Microsoft Premier Support and DNS leadership work, Kris solved mission-critical infrastructure failures in global trading, semiconductor, pharmaceutical, and other Fortune 500 environments. The investigations reached below surface symptoms into DNS, WINS, Kerberos, SAMR, packet traces, memory dumps, and live debugging, sometimes requiring C++ and assembly-level analysis to isolate the actual fault.
Applied value: disciplined troubleshooting that reaches root causes instead of masking symptoms.
Wrote the Kerberos parser for Microsoft Network Monitor and handed it to the Kerberos development team, then created focused utilities for orphaned SAMR pipe failures, WINS health, name resolution, and network connectivity. These were not portfolio exercises; they resolved recurring production failures, gave engineers better evidence, and helped prevent expensive outages.
Applied value: when the standard tool cannot answer the question, build the tool that can.
Architected and delivered systems for real-time hospital RFID tracking, GPS and telematics-based fuel delivery, dispatch and scheduling, banking CRM, manufacturing and payroll integration, secure file transfer, field operations, and motorsports simulation. Several became core operational platforms supported and extended for years.
Applied value: software shaped around physical operations, user roles, exceptions, and uptime.
Built N-tier and service-oriented systems with ASP.NET, WCF, WPF, SQL, and rich-client technologies, then led their evolution toward cloud-hosted, multi-tenant web platforms, APIs, claims-based identity, dependency injection, and modern .NET. That history creates a practical understanding of legacy constraints as well as modern architecture.
Applied value: modernization plans that respect what already works and replace only what should change.
Has led cross-functional engineering efforts, guided teams of up to 20 people, coordinated distributed delivery, introduced Agile development practices, translated operational needs into architecture, and carried systems from uncertain requirements through implementation, rollout, support, and continuous improvement.
Applied value: senior technical judgment without losing contact with code, users, or outcomes.
We understand both the technology and the business problems it solves.
Your business runs on documents — policies, contracts, manuals, procedures. We build AI that reads, understands, and answers questions from your existing files, so your team gets instant answers instead of digging through folders.
We build AI that handles multi-step processes — not just simple chatbots. Our solutions connect to your existing tools, use your business rules, manage context across complex tasks, and complete work that previously required hours of manual effort.
With more than 26 years delivering production solutions across enterprise platforms, we design for security, reliability, maintainability, and integration with the tools your team already uses.
Give your customers instant, accurate answers 24/7 without adding staff. Our AI assistants know your products, your policies, and your business — so customers get the help they need, when they need it.
We don't believe in AI for AI's sake. Every solution we build is designed to deliver measurable business value.
We start by deeply understanding your processes, pain points, and goals.
We identify where AI can have the biggest impact on productivity and costs.
We use proven technologies and architectures that grow with your business.
We train your team and provide ongoing support to ensure long-term value.
Our goal is simple: help you do more with less. Automate repetitive tasks, surface insights faster, and free your team to focus on high-value work.
The principles that guide everything we do
No black boxes. We explain how our AI solutions work, what they can and can't do, and exactly what results you can expect. Clear communication, always.
We're excited about cutting-edge AI, but only when it solves real problems. Every solution is evaluated on practical business impact, not just technical novelty.
Your success is our success. We work as an extension of your team, invested in your outcomes and committed to building solutions that deliver lasting value.
Tell us what's slowing your team down. We'll show you how AI can help — no jargon, no pressure, just a conversation.
