Ortelian

Companies now use AI tools, but the underlying process stays the same: work still passes between people through chasing, waiting and handoffs, and most AI use only speeds up individual tasks. The page cites McKinsey data showing 80% of AI users report individual productivity gains, but only 37% of organizations see any EBIT impact, a 43-point gap. Ortelian frames this as a redesign problem, not a tooling problem: adding AI to an unchanged process (e.g. pasting a document into a chat tool) leaves the handoffs, chasing and waiting intact. It argues that the facts needed to do the work well are scattered across systems, people's heads and the outside world, so agents without that context end up guessing.

Ortelian combines a forward deployed team that works on site to map and redesign how work actually runs with a platform that gives AI agents the business context to carry out the redesigned steps inside the client's existing systems (CRM, ERP, Slack, email, etc.), without migration. The team observes work, interviews staff, reads system records and procedures, then rebuilds the process so agents handle repetitive steps and handoffs while people keep judgement calls and sign-offs, illustrated through examples like supplier delay handling, invoice exceptions, regulation reviews, quote approval, month-end close, SDR account lists and customer setup. Changes are tested against real work examples turned into evaluations before going live. The platform maintains a 'world model,' a graph linking companies, people, records and knowledge with sourced facts, that agents query instead of rebuilding context on every run; access is scoped per agent, data is hosted in the EU, models use zero data retention, and the company owns and can export its data and world model. Engagement starts with an on-site audit (about two weeks, fixed fee, credited against the first build), followed by two-week buil

McKinsey's State of AI in 2026 data (cited on the page) shows AI high performers are almost 3x more likely to have fundamentally redesigned workflows, framing process redesign as what separates AI results from AI activity.