Bring AI into your firm, without the false starts that strand most first initiatives.
We help consulting and professional-services firms move from “we’re exploring AI” to “AI is shipping work that bills”: automating delivery internally and standing up your first client-facing AI offering, with ROI instrumentation built in from day one.
Where Pre-AI firms stall.
Most consulting firms starting their AI journey hit the same wall in the same place. The pattern is almost identical, firm after firm.
The experiment looks promising.
A few sharp associates wire up a chatbot over the firm’s decks and research, and it drafts a passable first cut. Partners are impressed. An “AI working group” is formed.
The knowledge foundation gets deferred.
The demo ran on a handful of cherry-picked documents. Production needs the whole engagement archive, structured, permissioned, and current, with client-confidentiality boundaries that legal can stand behind. None of that was in scope.
The use case wasn’t chosen for leverage.
The experiment was picked because it was easy to show, not because it freed the most billable hours or opened a new line of client work. The high-leverage workflows stay manual.
There’s no ROI instrumentation.
A few teams use it, but nobody can quantify hours recovered, realization gained, or margin moved. Partners can’t make the case to fund the next step, or to take an AI offering to clients.
Momentum stalls.
The working group loses partner sponsorship. The tool becomes shelfware. Adoption never spreads past the early enthusiasts. And the next attempt starts from zero.
We exist to break that cascade. →
How we work.
A structured 60–90 day engagement that sequences strategy first, then the knowledge foundation, then deployment, with measurement and governance baked into every stage.
AI Opportunity Mapping
We start by mapping where AI actually pays off for your firm: every candidate workflow scored on hours recovered, client-delivery leverage, and whether it could become a billable offering. You get a ranked list, not a wishlist.
Every candidate workflow, scored before a line of build.
We map and prioritize opportunities against hours recovered, client-delivery leverage, and offering potential, specific to your firm. You walk away knowing exactly what to build first, and why.
The panel that proves what the workflow is actually delivering.
Measurement systems and runbooks quantify the value to your delivery teams and to the partnership, so the case for the next investment makes itself. Evidenced, not asserted.
What you walk away with.
Concrete artifacts, a knowledge foundation, and a shipped workflow. Not slides.
A first production workflow. Shipped, not piloted.
What a Pre-AI engagement looks like when it lands: a scoped workflow live in delivery, instrumented from day one.
A mid-market firm had a promising research-assistant experiment but no production path: it ran on a handful of documents, with no permissioned knowledge layer, no confidentiality boundaries, and no way to prove hours recovered to the partnership.
We scored the highest-leverage workflow, built the permissioned knowledge foundation and confidentiality controls, and shipped the first production workflow, instrumented to measure hours recovered from day one.
Engineering under real-world constraints, before it was an AI problem.
Cryenx’s engineering legacy is in performance-critical, real-time systems for brands where production reliability wasn’t optional: Disney, Coca-Cola, Apple, LEGO, Warner Bros, SXSW. Real-time interactive systems, AR/XR experiences, integration with complex existing infrastructure.
That experience (engineering under real-world constraints, integration with existing systems, observability discipline) is exactly what production AI requires inside a firm where confidentiality and quality are non-negotiable. Most AI teams don’t have it. We do.
