A respected engineer's 30 years — codified into AI agent teams. Senior-quality systems, at the output and speed of a team.

MokesIT codified a senior software engineer's judgment — standards, architecture, and rigor — into AI agents. The result is teams of agents that build to that standard, under senior review. You get senior-engineer quality at a team's output and speed: whole systems, and the business capabilities they power — built, modernized, and rescued. Not raw AI. Not a junior's first draft. Reviewed, tested, production-grade.

We prove it on our own products before it reaches a client — so what you get isn't an experiment, it's a way of working we rely on ourselves. Senior-owned, scoped and priced around the outcome. Incorporated 1998, based in Columbus, OH.

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30 years of engineering
Proven on our own products
Senior-owned, team scale
Columbus, OH

How we work

Deeply technical — and easy to work with.

The rare combination: an engineer who's genuinely deep on software efficiency and process, who also explains the plan clearly enough that non-engineers trust it. Three decades as an independent consultant, hundreds of projects delivered, and spare time still spent building and learning — so when we engage, we already know the right way to do it, not just a way. And we don't just use AI: we're fluent in orchestrating agentic workflows and training them to do the right thing, so the leverage compounds. The agents move fast; thirty years of judgment makes sure fast is also right.

What we deliver

Capabilities, not just code

Launch a new capability

From an empty repo to a product in production — fast.

A new product or system, built from nothing to production: secure authentication, the data model, the interface, automated tests, and safe deployment on Azure. Delivered at team scale — and without the tech debt that sinks most new builds, because a 30-year engineer owns every decision.

Modernize what's holding you back

Turn the app you're afraid to touch into one you can move fast on.

Aging .NET / ASP.NET Core and Angular systems untangled, hardened, and brought up to date — tech debt paid down, real security vulnerabilities fixed, test coverage raised, and cloud migration where it earns it. With automated tests and zero-downtime deploys, change stops being a gamble. (We even revive apps a vendor change left broken.)

Automate & unify operations

Retire the manual work and the disconnected systems.

Manual, repetitive processes and siloed systems pulled into reliable, integrated, scheduled workflows — system and API integration, Python/ETL, Azure Data Factory, and Microsoft Fabric pipelines. Copy-paste work and laptop-run scripts become cloud jobs that run themselves, with your data finally connected.

Results

Outcomes, not adjectives

Real engagements, anonymized. Numbers are representative of delivered work.

45–60 min → 8–12 min

Deploy time after a CI/CD overhaul — hour-long releases turned into minutes for an enterprise team.

100,000+ documents

Automated retrieval via API with all metadata preserved, for a national HR/payroll platform.

~4 hours

To move a manual, laptop-run workload onto a scheduled Azure deployment for an enterprise team.

11 critical vulns fixed

Security hardening across a production ASP.NET / Angular codebase.

+54% test coverage

Angular test coverage raised so the team could ship changes with confidence.

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Good questions

You probably want to know

Do I work with you, or a team?: Both, honestly. You get one senior principal engineer — 30 years, hundreds of projects — as your single point of accountability, and someone who explains what's happening and why in plain language you can trust. Behind him, teams of AI coding agents do the heavy lifting so work moves fast, but every architectural decision and every line that ships is his call. It's how we deliver a team's output at a boutique's price.
Isn't "AI-directed" just a buzzword?: It would be, if nobody was steering. Getting agents to reliably do the right thing is its own discipline — structuring the work, training the agents, keeping their output visible and reviewable, and holding every result to real standards and best practices. It's an approach most teams are only beginning to explore, and one we already work in every day. The AI accelerates the work; a 30-year engineer decides what's correct, secure, and worth building. You're never handed raw AI output — you're handed reviewed, hardened, production-grade work. The leverage is real; the judgment is human.
How long have you been at this?: Three decades of engineering, from a global bank to early-stage startups — and Moke's Information Technology, Inc. has been incorporated since 1998, right here in Columbus, OH. We've shipped through every platform shift since. When you hand us a project, you're handing it to someone who plans to be around to support it.
Can you work with our existing team and stack?: Yes. We embed with your engineers and meet your stack where it is — Azure, .NET/ASP.NET Core, Angular/TypeScript, GitHub Actions, Terraform/Bicep, Docker, Python/ETL. We're here to strengthen what you have, not to insist you rebuild it.
What if I just need something built from scratch?: We do that too — custom web apps, SaaS, and iOS — though our sharpest edge is cloud, DevOps, modernization, and automation. Tell us the goal and we'll tell you honestly whether we're the right fit.

Something slowing you down?

A legacy app you're afraid to touch. A manual process eating hours every week. A security finding that needs closing. A cloud migration you keep postponing. Tell us which one — one email, a real reply from a real engineer, an honest answer on whether we can help.

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