Managed AI Agents
We build, deploy, and operate AI agents for your business—on sovereign infrastructure, powered by open-source models. Privacy-preserving by design. Your agents get smarter every month.
What we do
We don't hand you code and walk away. We build agents, run them in production, and make sure they deliver results.
We identify the workflows where AI agents create the most value, then design and build production-grade agents tailored to your domain, data, and systems.
Your agents run on sovereign infrastructure. We handle hosting, monitoring, guardrails, and incident response. Regulatory-compliant by design. You get a dashboard and an SLA, not a codebase to maintain.
We continuously evaluate agent performance, tune prompts, and upgrade to the best open-source models. Your agents improve every month—without vendor lock-in.
Use cases
Here are some of the workflows our agents handle every day.
Agents extract data from invoices, match them against POs, flag discrepancies, and route approvals. Finance teams go from days of manual work to minutes of oversight.
Agents collect documents, verify information, set up accounts, and guide new customers through each step—escalating to a human only when needed.
Agents classify incoming tickets, pull relevant context from your knowledge base, draft responses, and resolve common issues autonomously.
Agents read contracts, flag non-standard clauses, check against policy, and generate compliance summaries—freeing your legal team for judgment calls.
Agents watch your data pipelines, detect anomalies, diagnose root causes, and either fix issues automatically or alert the right person with full context.
Agents that actually know your company—connected to your docs, wikis, and Slack—so employees get accurate answers instead of searching for hours.
Our approach
You shouldn't have to choose between cutting-edge AI and control over your own data. We built our stack so you don't have to.
Your agents run on infrastructure you control. Data processing, model inference, vector storage—nothing leaves your jurisdiction. You decide where your data lives, not your AI vendor.
We build on open-weight LLMs—Llama, Mistral, Qwen, and others. State-of-the-art performance, fully self-hosted. No black boxes, no vendor lock-in, no prompts routed through third-party APIs.
Regulatory compliance isn't a checkbox we tick at the end. Agent architectures are designed from day one with data minimization, purpose limitation, and audit trails built in.
How it works
Most clients have agents running within weeks, not months. Here's how we get there.
We map your workflows and identify where agents will have the highest ROI. No generic pitches—we go deep on your domain.
We design and develop your agents, connected to your tools and data. You see working demos within the first two weeks.
Agents go live on sovereign infrastructure with monitoring, guardrails, and human-in-the-loop escalation from day one.
We track performance, gather feedback, and ship improvements continuously. Your agents compound in value over time.
About mi8
mi8 started as a mobile consultancy, shipping mission-critical apps for major enterprise brands. We learned what it takes to build software that companies actually rely on: reliability, observability, clear communication, and zero tolerance for "it works on my machine."
Now we apply that discipline to managed AI agents. We build on open-source models, deploy on sovereign infrastructure, and design every agent with privacy at the core. No vendor lock-in, no black boxes, no data leaving your control.
We don't sell engineering hours or hand over prototypes. We run agents in production, take responsibility for their performance, and charge based on the value they deliver.
Blog
Notes on AI agents, architecture, and the evolving enterprise.
March 23, 2026
The hardest part of deploying AI agents isn't the technology — it's the people. Here's how to bring your organization along.
Read more →March 16, 2026
Customer onboarding is where first impressions are made — and where AI agents deliver the fastest ROI. Here's how we build them.
Read more →March 9, 2026
80% of AI projects never make it to production. Here's why — and what the agent model changes about the equation.
Read more →If you prefer talking to a human, a 30-minute discovery call is all it takes. We'll map your workflow, identify where an agent fits, and tell you honestly whether it makes sense.