Enterprise AI engineering & advisory
We design, deploy and govern custom AI agents, MCP integrations, private LLM platforms and forecasting models — led by engineers who run them in production and a CISSP-certified security lead.
What we do
We build the parts of enterprise AI that have to work every day: the agents, the integrations, the model platform underneath them, and the controls around all of it.
Agents that do real work inside your systems — IT operations, finance, service desk and line-of-business workflows.
Model Context Protocol servers that connect AI to your platforms safely — read-only first, write when it's earned.
Private, high-throughput model serving on your hardware or cloud, wired into the tools your people already use.
Gradient-boosted models that forecast demand, spend and risk — with backtests you can trust and explanations you can defend.
Know every model, agent, key and integration you run — and control what each one is allowed to do.
Clear-eyed guidance on where AI pays off, what to build versus buy, and how to roll it out without surprises.
How we work
Every engagement follows the same disciplined path, so you see value early and never lose control of what's running.
Map your systems, data and risk posture. Pick the use cases where AI earns its keep first.
Architecture, security model and success measures agreed up front — including what agents may never do.
Agents, MCP servers, models and platform delivered in small, tested increments in your environment.
Inventory, guardrails, change control and monitoring handed over — or run by us as a managed service.
Security & governance
AI that can act on your systems needs the same rigor as any privileged user. We build security in from the first line of code — led by a CISSP-certified founder who has spent a career protecting enterprise infrastructure.
Expertise
We don't just recommend tools — we've deployed, tuned and operated them.
Selected work
A sample of the kind of systems we deliver. Client names withheld.
Multi-site enterprise · IT operations
Challenge
A lean IT team needed help with infrastructure, service-desk and reporting work without handing AI uncontrolled access.
What we delivered
Specialized agents that delegate to each other over A2A, reach systems only through purpose-built MCP servers, and route every change through an approval workflow.
Enterprise · AI platform
Challenge
Hosted model costs and data-residency concerns were limiting how far AI could go.
What we delivered
An on-premises GPU server running SGLang, tuned and benchmarked for agent workloads, behind an OpenAI-compatible gateway with per-agent keys — data never leaves the building.
Enterprise · Risk & compliance
Challenge
Leadership couldn't answer a simple question: what AI is running here, and who owns it?
What we delivered
A live inventory of models, agents, keys and app registrations, with guardrails and approval paths that satisfy security and audit.
Who we are
Harworth.AI was founded by people who build and run enterprise AI systems for a living.
Co-Founder · Chief Executive Officer
Turns business problems into AI projects that pay off. Leads client strategy, partner relations, scoping and delivery, so every engagement starts with the outcome, not the technology.
Co-Founder · Chief Technology Officer
Builds agent fleets, MCP servers and private LLM platforms, leading with a security-first architecture and AI governance for every engagement.
Get in touch
Tell us a little about your goals and environment. We'll come back within one business day to set up a no-cost working session.