Turn AI from a pilot project into measured performance.
HorGe works with mid-market and enterprise teams to ship AI that survives production — with governance, a number attached, and no vendor lock-in.
Vendor-neutral. We sell judgement, not licences.
Lock-in. Your team owns everything we build.
Our target ceiling for a first measured result.
First working session. Free, and useful on its own.
Most enterprise AI stalls before it ships.
You have seen the pattern. The demo impresses, the pilot drifts, the budget quietly moves elsewhere. The causes repeat across industries.
Pilots that never ship
Proofs of concept optimised for the demo, not the workflow. Production requirements arrive too late and kill the project.
ROI nobody can prove
Without a baseline measured before the build, no one can say what the system earned. Finance stops signing off.
Governance and data risk
Legal and security are consulted last, so they say no. Data residency, GDPR, and audit trails have to be designed in from day one.
Tooling that ages in months
The model landscape turns over quarterly. Architecture that hard-codes one vendor is a depreciation schedule, not a strategy.
Six ways we move the number.
Every service below ends in something your team can run without us. Start with the audit, or come to us with a specific problem.
AI Readiness & Opportunity Audit
We map your processes, data, and constraints, then rank AI opportunities by value and feasibility. You get a costed, sequenced plan.
Outcome: a prioritised roadmap your board can act on.
Process Automation & Workflow Redesign
We rebuild the repetitive share of a workflow around automation, with humans on the judgement calls. Measured against the old baseline.
Outcome: hours returned to your team every week.
Custom AI Integration
LLMs, retrieval over your documents, internal copilots — built into the systems you already use, with evaluation before rollout.
Outcome: AI inside your tools, not another tab.
Data Foundations & Governance
Access rules, retention, quality, and audit trails that satisfy legal and enable AI at the same time. GDPR is a design input, not a blocker.
Outcome: data your lawyers and your models both trust.
Model & Vendor Selection
Independent benchmarking of models and platforms against your workload and budget. We take no commission from any vendor.
Outcome: a defensible choice, documented for procurement.
Team Enablement & Training
Role-specific training so your people run and extend what we build. From executive briefings to hands-on builder sessions.
Outcome: capability that stays when we leave.
Four steps. A number at the end of each.
The method is deliberately boring. Diagnose before prescribing, build only what was prioritised, measure against the baseline, then hand over the keys.
Diagnose
Interviews, process walk-throughs, and a data inventory. We establish the baseline every later claim is measured against.
Prioritise
Opportunities ranked by value, feasibility, and risk. You choose what gets built; we tell you what not to build.
Build
Short, scoped build cycles inside your environment and your security perimeter. Working software over slideware.
Measure & Hand Over
Results reported against the baseline. Documentation, training, and full ownership transfer to your team. No lock-in, by design.
Built for sceptical buyers.
Enterprises are right to distrust AI vendors. The market rewards noise. These four commitments are how we answer that scepticism.
Independence
No reseller agreements, no referral fees. When we recommend a model or platform, the only thing at stake is our judgement.
A current map of the landscape
We benchmark models and tooling continuously, so recommendations reflect this quarter's landscape — not last year's slide deck.
Measurement discipline
Baseline first, metric agreed in writing, results reported against both. If the number does not move, you hear it from us first.
Security and compliance posture
NDA and DPA before data moves. EU residency options by default. Every data flow we introduce is documented and reversible.
The questions procurement asks. Answered.
Fixed-scope diagnostic first, priced on request. After that, each engagement is scoped and priced before work begins — no open-ended retainers unless you ask for one. You approve every phase separately.
The diagnostic takes days, not months. Build phases are scoped so a first measured result lands within one quarter. If a plan cannot show value inside 90 days, we tell you before you spend money on it.
Your data stays in your environment wherever possible. We work under NDA and a data processing agreement, prefer EU-hosted or self-hosted models where residency matters, and document every data flow we introduce.
No. We integrate with what you run today and recommend replacements only when the numbers justify it. We are vendor-neutral and earn nothing from any tool we recommend.
The goal is capacity, not headcount cuts. We automate the repetitive share of a role and train your team to run and extend the systems themselves. Your people own everything we build.
Every engagement defines its success metric before work starts. If the metric is not moving, we stop, say so, and hand over what exists. You are never locked into continuing.
Start with a conversation, not a contract.
Thirty minutes on your operations. You leave with at least one concrete opportunity, whether or not we ever work together.
Book a consultationOr reach us directly: cousinspree@horgebv.com · +36 30 241 6869
Tell us where the friction is.
Two sentences about your operation is enough to start. We reply by email within one business day to confirm a time for a 30-minute call.
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