Most companies are barely readable to their own teams. We rebuild your data, workflows, policies, and operating layer so agents can do real work and your people can supervise the parts that need judgment.
AI-native companies are not the ones with the most copilots. They are the ones whose workflows, data, permissions, and decision rules are explicit enough for agents to execute and humans to supervise.
The CRM says one thing. Slack says another. The real context lives in inboxes, spreadsheets, and the memory of whoever has been here longest.
People search, copy, classify, chase approvals, and move context between systems. That is not high-value work. It is process debt.
Agents need clean inputs, source-of-truth records, permissions, boundaries, examples, and escalation logic. We turn that hidden judgment into working systems.
A chatbot here and a Zapier flow there can help. The advantage comes from redesigning the center of the company so agents can handle the first pass of real workflows.
We rebuild the layer your work runs on: data, workflows, rules and permissions. Agents do the first pass of real work, and your people supervise what matters.
Company login, roles per department, one interface, a design system and full observability. Claude connects through MCP and works with the same rights as a person. It runs in your EU cloud and belongs to you.
Pricing and discounts, purchasing, products, logistics, intake, documents. We start where time and margin are lost, and every module builds on the same base instead of starting over.
A running radar of where your company loses time and margin, help with operations decisions, and a monthly results review. The system keeps getting better instead of decaying quietly.
COOs, founders and operations leads who want their company to run without them holding it together. Any industry. These are the areas we usually start with.
Pricing and discount rules, purchasing, product data, stock and logistics: the decisions your team repeats every day.
Inquiries, quotes, orders and follow-ups, with agents doing the first pass and people handling the judgment calls.
Documents, invoices, contracts and reporting, filed and searchable, so nobody chases attachments again.
Five phases for making your operations agent-readable and production-ready. Fixed scope per phase, clear exit criteria, and the work belongs to you at every step.
Audit operations. Find where agents can do the first pass. Rank opportunities by impact.
Make the workflow legible. Source-of-truth data, permissions, rules, failure modes, checkpoints.
Build in visible cycles. You see working software every few weeks, never a long dark period.
Tracing, evals, dashboards, audit trails, and escalation review. Non-negotiable, bundled in.
Continuous improvement as your partner. Results reviews, better rules, model upgrades, next modules.
Stated explicitly so you know what you're getting before you ask. AI-native work is organizational architecture, not theater.
A company with ChatGPT tabs is not AI-native. The work starts when agents can understand the workflow, access the right context, and operate inside clear boundaries.
If LangGraph, Langfuse, or Composio solves it, we configure them. We don't write a worse version from scratch to inflate the invoice.
Every system ships with tracing, evals, dashboards, audit trails, and escalation review. Non-negotiable. We won't put an agent in production blind.
Every system runs on open-source or industry-standard tools with portable data. If we go away tomorrow, you can hire someone else who knows the same stack.
The people who scope the work build it and support it. No account managers, no handoffs, no layers between you and the people doing the work.
Refund rules, approval logic, tone, edge cases, source-of-truth data, and dangerous actions all need to be written down. What is hidden in someone's head cannot be safely automated.
Webfast makes operations-heavy companies AI-native. We set up one operations platform in your own EU cloud, add modules for the work that costs the most time and margin (pricing and discounts, purchasing, intake, documents) and stay on as your partner. Agents do the first pass of real work, and your people supervise what matters.
Yes. Webfast is based in Ljubljana and works with companies across Slovenia, in Slovenian or English. AI automation, AI agents and AI-native operations are all we do.
Yes. We work with companies in North Rhine-Westphalia, including Köln and Düsseldorf, and across Germany. Everything runs in EU data centres and is built for GDPR from day one.
A tool adds AI at the edges of work your people still run by hand. We rebuild the layer the work runs on: data, rules, workflows and permissions, so agents can actually do the work inside clear boundaries. Tools then plug into that base instead of adding to the mess.
You do. The platform runs in your own cloud account, the code and documentation are yours, and everything is built on open, standard tools. If you ever stop working with us, someone else can run it.
Any industry where valuable work is trapped in manual process. What matters is the shape of the work: repeated decisions, information moving between tools, and people acting as the glue.
Book a 30-minute call. We'll ask about your operations and where the pain is, and tell you honestly whether we're the right partner. If we are, we start with the Map phase: a written audit of where agents can take the first pass.
Most companies are still asking how to use AI at work. The better question is how to build a company AI can work inside. We'll tell you within fifteen minutes whether we're the right partner for that work.