3-Layer Framework

Process first. AI second.

Most AI projects stall because the model is wrong. Ours don't, because the model isn't the starting point. We start with your process — the actual sequence of steps, decisions, exceptions, and system writes — then layer knowledge and AI power on top.

1 Process

BPM-based foundation. The business logic provides the structure that grounds every AI decision. No black-box behaviour, no surprises — the agent operates inside a defined process map you can audit.

2 Knowledge

An Enterprise Knowledge Repository the agent draws on. Your product catalogue, pricing rules, policy documents, historical cases, internal SOPs — curated and indexed so the agent answers from your context, not the open internet.

3 AI Power

Best-in-class model selected per use case. Technology-agnostic by design — we'll use the right model for extraction, the right one for routing, the right one for conversation. You're not locked to a vendor.

Why this matters

Generic agents fail at the boundary. Process-grounded agents don't.

A chatbot off a foundation model can answer ten questions correctly and the eleventh becomes a compliance incident. That's because nothing tells the model where its authority ends. Our agents know — because the BPM tells them. They act inside the process and escalate at the gates we mark.

This is also why we don't lead with a demo of "the AI." We lead with the process. The Process Studio is that conversation, condensed.

Where we've shipped this

Three flagship patterns.

Each is a productised version of the methodology, deployed against a recurring enterprise pain.

WhappO Order

Order intake from WhatsApp, email, phone — straight into ERP. 70-90% reduction in manual effort. Case study: 15 operators → 2 supervisors. ROI in weeks.

WhappO Claim

Claims processing for insurance, banking, financial services. 60-80% manual effort reduction. Fraud detection, smart routing, full audit trail. Built for regulated environments.

Arheion

RFP/tender response agent. 50-70% reduction in preparation time. Transforms fragmented documents into structured context. Improves win rates without sacrificing compliance.

Bespoke agents

Same methodology, your workflow. Land-and-expand model: deploy one agent, prove ROI, expand. Typical pilot is 4-6 weeks against real data.

What we believe

The hard part isn't the AI. It's the context.

Foundation models commoditise faster than any technology in living memory. The defensible work is in the layers around the model — process design, knowledge curation, evaluation harnesses, integration plumbing, and the human-in-the-loop patterns that make agents safe to put in front of customers.

We do that work. We don't sell models — we sell agents that hold up in production, audited against your business logic, integrated with your systems, and designed with the right humans on the right gates.

Want to see it on your process?

Twenty minutes in the Studio gives us both a shared artifact to start from. No deck required.

Launch the Process Studio →