About
Applied AI that ships into real systems.
G|AI Works is a founder-led applied AI studio. We design, build, and deploy AI systems for Finance, Marketing, and Engineering teams — production-ready from the first sprint, with audit trails, measurable outcomes, and no vendor lock-in.
- ✓ Production standards from sprint one — versioned prompts, validated outputs, rollback paths.
- ✓ Security-first — no third-party tracking by default, audit-ready outputs, safe defaults throughout.
- ✓ Measurable outcomes — every engagement defines a success metric before work starts.
Founder
Oliver Gruenig
Applied AI Studio — production-first, security-first, measurable outcomes.
Start a projectWhy G|AI Works exists
The studio exists because enterprise AI projects consistently stall at the same point: impressive demos that never clear the bar for production. The gap is rarely the model — it's evaluation rigour, integration complexity, and the absence of operational discipline around prompts, outputs, and failure modes.
G|AI Works closes that gap. Small team, focused scope, production standards from day one.
Principles
How we work
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Security-first
No third-party tracking by default. Audit-ready outputs by default. Credentials handled as first-class concerns, not afterthoughts.
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Measurable outcomes
Every engagement defines a success metric before work begins. We scope to deliver that number, not to maximise billable hours.
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Integration reality
AI systems live inside existing stacks — ERP connectors, internal APIs, legacy data stores. We design for that reality, not the clean-room demo.
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Maintainability
Runbooks, prompt registries, versioned contracts, and eval suites are part of the deliverable. The next engineer should be able to operate what we build without us in the room.
Capabilities
What we build
- — LLM pipeline design and evaluation
- — Custom AI applications — web, internal tooling, CLI
- — Orchestration APIs with structured error handling
- — Human-in-the-loop review interfaces
- — Workflow automation with explicit state management
- — Financial reporting and number-grounding systems
- — Marketing intelligence and segmentation pipelines
Process
Fixed scope. Defined outcomes.
Every engagement starts with a data audit and ends with a handover package: runbook, prompt registry, evaluation suite, and full documentation. Deliverables, timeline, and the success metric are agreed in writing before any code is written. No open retainers. No scope creep. You own the system completely when we're done.
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