Enterprise grade AI and data architecture

AI ARCHITECTURE

From AI experiments to AI in core business – by design

We build the AI architecture that takes your company beyond pilots and into daily operations. Senior architects. Vendor-independent. Governed and compliant. In production in weeks, not quarters.

◆ SENIOR ARCHITECTS ◆ GOVERNANCE AND COMPLIANCE

◆ VENDOR-INDEPENDENT ◆ PRODUCTION IN WEEKS

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Our Services ➔

WHY ENTERPRISE AI GETS STUCK

Most enterprise AI is stuck — and more licenses won’t fix it.

You bought Copilot. You ran a RAG pilot. Maybe you even shipped your first agent. But results are uneven, governance is a question mark, and nothing scales beyond the team that built it.

This isn’t a tool problem. It’s an architecture problem. The companies pulling ahead with AI are not the ones with the most licenses — they’re the ones with an architecture that lets every new use case land in production safely, fast, and at scale.

Tool-first thinking

Licenses bought without a plan for value. Copilot alone is not a strategy — it is one component in an architecture you still need to design.

Pilot purgatory

PoCs that never talk to each other, never reuse data, and never make the leap to production.

The governance gap

EU AI Act, data protection, model oversight — left for later, then they block your rollout when it matters most.

Architecture debt

A growing pile of disconnected agents, models, and tools that no one owns end-to-end.

The fix is not yet another tool. It is a backbone.

OUR STANCE

How we build AI architecture

Every Arked engagement is shaped by four convictions. They are why our clients ship to production faster.

Backbone, not bolts-on

AI belongs in the load-bearing structure of how your company operates, not as a side project on a developer’s laptop. We design architecture that scales: every new model, agent, and use case slots into the same backbone instead of forcing a rebuild a year later.

Risk management designed in, not added later.

EU AI Act compliance, data protection, model oversight, and risk management belong in the foundation, not in a remediation project after launch. We design governance into the architecture from day one, Light enough to live with, strict enough to pass an audit.

Vendor-independent by principle.

We have no sales targets to hit on Microsoft, AWS, OpenAI, Anthropic, or anyone else. We choose technologies based on what is right for your business, your stack, and your risk profile. If you have already chosen a technology, we will get most out of it. And we say when we think something else fits better.

Production in weeks, not pre-studies in quarters.

We don’t run three-month discovery phases. Priority use cases go into production within weeks of kickoff, with the architecture growing around them. This is how we keep momentum and how AI starts paying for itself before the next budget cycle.

ENGAGEMENTS

How we work with you.

Engagements range from a focused audit to long-term embedded leadership. Most clients start with one and expand from there.

AI Architecture Audit

1-2 weeks

A senior-led deep dive into your current AI stack, governance posture, and use-case pipeline. You leave with a prioritized improvement plan, a target architecture sketch, and a clear-eyed view of what is working, what is hype, and what is blocking scale.

AI Target Architecture & Roadmap

Design Phase

We design the AI backbone your company needs over the next 18–24 months — covering models, agents, integration patterns, data flows, governance, and operations. Concrete, opinionated, and built so your team can extend it without us.

Build & Ship

AI solutions in Production

Senior architects working alongside your team to take priority use cases from concept to production in weeks. We design, build, and harden. We leave behind an architecture, not a one-off demo.

Senior Architects & Interim Leaders

Embedded

For mature organizations: hands-on senior architects and interim AI leaders who plug into your team and lead from inside. Hired not just to plan, but to execute.