AI Agent Development Company
We build custom AI agents that run your real workflows - reading, deciding, acting, and escalating to a person - on .NET, with tests and a full audit trail. From prototype to production, under HIPAA and GDPR when the work demands it.
Most AI agents look great in a demo and fall apart on real data. We build the other kind: the ones that still work on Monday, with your edge cases, your rules, and someone accountable when a decision matters.
WHY MANAGED CODE
We're a senior-only, AI-native agency delivering agentic AI development services. Three seniors with real AI tooling ship what a crew of eight used to, on fixed timelines. An internal quality framework reviews every piece of AI-generated code against architecture rules and test coverage before it ships. Our profile is .NET AI agent development in C# and Orleans, the same stack behind systems where failures have real consequences, keeping agents dependable when real data, volume, and edge cases arrive. We have shipped systems under HIPAA, GDPR, and financial-compliance requirements.
THE PROOF IS OUR OWN PRODUCTS
Our product · Private AI platform
A private AI platform that runs on-prem or in your cloud, so data never leaves. Bring your own model, role-based agents that mirror your teams, cited answers with paragraph-level access, and multi-agent workflows. Built for finance, healthcare, and enterprise.
Our product · No-code MCP agent builder
A no-code platform for building and publishing AI agents. A non-technical creator adds their files, writes the rules in plain words, and publishes a hosted MCP address that works in ChatGPT, Claude, and on the web, with paid access through Stripe. We hold the engineering.
WHAT WE BUILD
An agent that runs a process end to end: it reads incoming requests, pulls what it needs from your systems, does the work, and hands off cleanly. Intake, triage, data entry, follow-up.
Grounded in your own docs, policies, tickets, and product data, so answers are specific and traceable with citations, not generic model hallucinations.
Applies your business rules to make or recommend a call (approve, route, flag, escalate) and shows its reasoning. The decision is logged and a person stays in the loop.
MCAF keeps automated tests, review, and security checks tied to the agent, so a model update cannot quietly break behavior in production.
Input validation, tool permissions, and data boundaries defined before the agent runs, with a clear path to escalate whenever confidence is low.
Microsoft Orleans and a stateful backend, so the agent holds up under real concurrency, volume, and edge cases instead of a single happy-path demo.
HOW IT WORKS
We start with one workflow and map how it actually moves today: the inputs, the exceptions, the point where a human has to decide. No code yet. This is where we find out whether an agent is even the right tool.
We build the agent on .NET with tests from day one. It reads, decides, and acts inside a controlled scope, with guardrails on what it's allowed to do and a clear path to escalate when it's unsure.
We connect it to your real systems (CRM, database, ticketing, email, internal APIs) so it works where your team already works, not in a separate tab someone has to remember to check.
We ship to production with logging and an audit trail, then watch what it does against real traffic. We keep what works, tighten what doesn't, and give you the numbers. You get a working demo every Friday.
Tech stack
The stack we build AI agents on: Microsoft Agent Framework, Semantic Kernel, and MCP for orchestration; .NET and Orleans for state and scale; Azure OpenAI, OpenAI, Claude, Mistral, and Gemini for models, on Azure, AWS, and Google Cloud.
Create powerful AI agents using .NET and Azure.
Cloud platform for deploying and scaling AI solutions.
State-of-the-art language models for conversation and content.
AI assistant focused on reasoning, safety, and long-context tasks.
Open-source LLMs optimized for speed and efficiency.
AI-powered assistance for coding, writing, and productivity.
AI-powered assistance for research, coding, and creativity.
Framework for building distributed, scalable applications.
Versatile language for robust, high-performance software.
Cross-platform framework for modern web apps and APIs.
Fast, event-driven runtime for scalable server-side apps.
Cloud platform for hosting, scaling, and securing applications.
Mature ecosystem for enterprise-grade applications.
Flexible NoSQL database for fast, scalable data handling
Progressive Node.js framework for efficient, scalable backends.
Flexible library for building fast, interactive UIs.
Lightweight framework for simple and scalable apps.
Robust solution for enterprise-grade web applications.
.NET-powered framework for rich client-side apps.
Build interactive web apps with C# and .NET.
Cross-platform framework for native mobile and desktop apps.
Native development for the world’s most used mobile OS.
Create fast, cross-platform apps with one codebase.
Native apps tailored for Apple’s ecosystem.
Build mobile apps with React for iOS and Android.
One codebase. Powered by C# and XAML.
Cloud platform for hosting, scaling, and securing applications.
Leading cloud provider with global infrastructure and services.
Orchestration system for scaling and managing containers.
Cloud services for data, AI, and global-scale applications.
Container platform for fast, portable, and consistent deployments.
Continuous integration and delivery pipelines for faster, safer releases.
Collaborative platform for UI/UX design and prototyping.
Core language for dynamic, interactive web apps.
Standard markup for modern, responsive websites.
Analytics and heatmaps to understand user behavior.
Version control system for efficient collaboration.
Styling language for flexible, adaptive web design.
Core platform for scalable design systems and interactive prototypes.
Tool for mapping user journeys, brainstorming, and wireframing.
Platforms for structured design documentation and collaboration.
Tools for usability testing, feedback collection, and design validation.
Quick answers to what comes up on every first call — about AI, speed, scope, and how we work.
A chatbot answers. An agent acts: it reads your systems, makes a decision inside rules you set, takes the action, and escalates to a person when it should. If it only talks, it's not an agent.
Yours where it makes sense. We're a .NET shop by depth, and we build agents that connect to whatever you already run: your CRM, database, ticketing, and internal APIs.
Scope, guardrails, and a human in the loop. An agent only gets the permissions it needs, risky actions require sign-off, and every decision is logged with an audit trail you can review.
First working version in weeks, not quarters. We ship a demo every Friday and move one mapped workflow to production before widening scope.
It depends on the workflow, the systems it touches, and the risk involved. We map it first and give you a range before you commit. See: cost to build a custom AI agent.
Yes. We've shipped under both, and under financial-compliance requirements, with the audit trail and data handling those demand.
We build custom AI agents across key business functions: CRM, lead generation, appointment scheduling, accounts payable, procurement, healthcare, IT helpdesk, recruiting, real estate, sales, customer onboarding, and order management. New to this? Start with how Managed Code builds AI agents.
Yes. Automating a whole process? See our AI automation service: same team, wider scope across intake, routing, approvals, and follow-up.
You own 100% of the code and the IP. We sign the assignment on day one, hand over the repository, and document the architecture so whoever takes it next can actually use it.
Yes. We deploy into your Azure, AWS, or Google Cloud tenant, and can keep data and model calls inside your boundary for regulated or private workloads.
Retrieval-augmented generation connects a model to your approved knowledge so answers come from your sources, with citations. You need it whenever an agent must be right about your data, not just fluent.
Start here
Tell us which workflow eats time, creates errors, or keeps landing back in a human review queue. We map the data, tools, risks, and escalation path before recommending anything.
Prefer email? Send details via contact form.
