AI systems, automations and operations infrastructure

We build AI assistants, automations and business systems that perform reliably in production.

OLL4 is a founder-led systems company. We design and implement AI workflows, commerce operations layers, monitoring dashboards, ERP automations and infrastructure controls for companies that need fewer manual steps, cleaner data and real operational visibility.

Talk about your system See working systems

25+ yearsIT, ERP and e-commerce operations

1.2M+ SKUsactive catalog scale managed

EUR 4.3M+cumulative anonymized turnover exposure

~60%less manual operational workload

20+ hourssaved per week through automations

99.9%uptime discipline in production infrastructure

3 hubsLondon, Athens and Bangkok business presence

Founder-led experience

The experience behind OLL4 has already operated in production.

OLL4 is built on long exposure to real infrastructure, supplier-heavy commerce, ERP-linked execution, monitoring routines and AI-assisted operations, not on demo-only delivery.

production background

Not agency theory, operating history.

Behind OLL4 is more than 25 years across IT, web operations, ERP logic, logistics-aware commerce and production infrastructure. That includes catalog scale, supplier workflows, managed server environments, monitoring, secure access, rollout discipline and internal control surfaces.

The point is not to sell impressive demos. The point is to install systems that reduce friction, increase visibility and hold up under daily business pressure.

commerce scalesupplier workflowsserver operationsERP-linked routinesAI automationsrollback discipline

what clients inherit

Discovery starts from pressure points, not feature lists.

Business outcomes are tied directly to the operating layer underneath, from requests and approvals to dashboards, access and rollback.
Automation is framed as controlled execution, with human review, failure visibility and reversible delivery habits where the risk is higher.
Internal teams get readable panels, queues and decision surfaces instead of hidden workflows trapped inside disconnected tools.

operational background

1.2M+ active SKUscatalog exposure at scale

EUR 4.3M+cumulative anonymized turnover exposure

20+ hours weeklysaved through automation layers

99.9% uptime disciplinehosting, monitoring and delivery safety

ControlApprovals, routing rules, audit trails and human fallback where business risk demands it.

VisibilityLogs, service checks, workflow pressure and business snapshots grouped into one readable state.

ExecutionCommerce, ERP, infrastructure and internal tools delivered as one connected operating model.

Capabilities

The operating layers we build for real systems.

We do not just ship websites. We build the founder-led operational layer around workflows, data, approvals, dashboards, infrastructure and business actions.

Selected systems

From idea to working system.

Anonymized examples of how OLL4 turns a business bottleneck into a working system with a clear problem, a deliberate build and a measurable operational result.

Commerce automation layer

Problem: catalog scale, supplier imports and indexing drift created manual pressure. Build: a commerce operations layer for supplier sync, marketplace handoffs and admin control. Result: production-safe catalog execution with less repetitive work.

View the delivery outline

catalog scalesupplier importsadmin controls

ERP and invoicing workspace

Problem: invoicing, stock checks and approvals were fragmented across manual back-office steps. Build: an internal workspace for auto-invoicing, stock comparison and document safeguards. Result: traceable execution with clearer business control.

View the delivery outline

ERPapprovals

Autonomous workflow cockpit

Problem: repetitive requests needed faster routing without losing approvals. Build: an AI-assisted control surface with routing, human review and audit visibility. Result: faster daily execution without opaque automation.

View the delivery outline

AI routingaudit visibility

Monitoring and incident surface

Problem: teams lacked one place to read service health, web failures and business signal drift. Build: a visibility layer with dashboard views, endpoint checks and daily snapshots. Result: visible operating state before issues became incidents.

View the delivery outline

dashboardsevent logsbusiness snapshots

Corporate offices

London, Athens and Bangkok business presence.

OLL4 operates as a remote-first systems company with business presence in London, Athens and Bangkok, giving clients a practical bridge across UK, Mediterranean and Southeast Asian execution windows.

Locations (3)

London, Athens and Bangkok.

Three operating points across the United Kingdom, Greece and Thailand.

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Selected location

United Kingdom

London business presence.

Commercial coordination, discovery calls, systems strategy and client-facing planning for UK and European companies that need founder-led operational software delivery.

UK and European coordination, with founder-led commercial discovery.

Contact

Tell us what feels slow, risky or manual today.

Describe what happens now, where it breaks, which tools are involved and what success should look like. OLL4 can map the current process, identify the automation points and define the right system around it.

Public concierge: Hermes runtime with gpt-5.4-mini on the default medium-reasoning route, gpt-5.4 on the advanced high-reasoning route, structured human handoff fallback, short-lived sessions and public-safe guardrails.

Public concierge

Ask what OLL4 could build around your workflow.

public-safe mode

Short answers, public-safe scope, and a clean handoff into the contact form when the route is clear.

Ask the concierge anything public-safe.It can explain capabilities, answer FAQ, and narrow the right route before human follow-up.

Name

What feels slow, risky or manual today?

What kind of help do you need first?

How soon does this matter?

Message

complete first: name, valid email, message

Operational proof

Small public-safe signal layer.

This tail feed stays intentionally small: public-safe activity, endpoint health and response time are enough to show a real operating layer without exposing private systems.

live feedLIVE

accepted today0sanitized public request count

event feedwaitinglatest public-safe activity

mail endpointchecking...contact endpoint health

latency-- msbrowser-to-feed response time