Built from lived adoption
The method comes from the firm's own AI rollout in a working legal practice — the failure modes in the roadmap were encountered, not imagined.
AI adoption roadmaps from Aun & Co.: a phased, workflow-level plan for bringing AI into a professional practice — built by a firm that has done it in its own.
Most AI adoption fails in one of two ways: a ban nobody obeys, or a free-for-all nobody controls. A roadmap is the third path — a phased plan that starts from your actual workflows, ranks them by value and risk, and sequences adoption so capability and control grow together. Aun & Co. builds these roadmaps from practice, not theory: the firm adopted AI across its own operations — intake, document preparation, administration — with human approval gating every output, and the roadmap method is that experience made transferable.
The roadmap is built bottom-up from tasks, not top-down from technology: each workflow is scored for the time AI saves against the damage an error costs, and adoption is sequenced along that curve — high-value, low-consequence work first. Every phase ends at a gate: results reviewed, controls tested, and only then the next tier. The document names owners and dates, because a roadmap without either is a slide.
The method comes from the firm's own AI rollout in a working legal practice — the failure modes in the roadmap were encountered, not imagined.
Adoption ordered along the value-risk curve, so early wins fund confidence while high-stakes workflows wait for proven controls.
Each phase closes with a review gate and a named owner — the difference between a roadmap and a wish.
A typical engagement: a professional office of a dozen people wants AI in its document and intake work. The roadmap sequences four workflow tiers over two quarters, with a sandbox phase and approval gates; by the second gate, the informal tool sprawl has been replaced by three vetted systems under one policy.
Described in abbreviated, anonymised form to preserve client confidentiality.
With the workflows where AI saves real time and an error costs little: internal summaries, first drafts of routine documents, administrative processing. Client-facing and judgment-heavy work comes later, behind proven review gates — sequence is the safety mechanism.
A meaningful first phase — pilot workflows live under supervision — typically lands within one to two months; a practice-wide governed capability takes two to four quarters depending on size. Slower than a ban, faster than a failure.
A written plan: the workflow inventory and ranking, the phase sequence with gates, tool criteria per tier, and named owners with dates. It is designed to be executed by your team — with the firm reviewing at the gates, not resident in the building.