A fractional AI advisor for enterprise leadership teams. We embed with your organization to handle what an AI rollout requires beyond access to the tools: governance and usage policies, training for the whole workforce, data readiness, and the workflows that make AI part of daily work.
A senior AI advisor embedded in your organization each month.
Rolling AI out across an enterprise raises questions that individual use does not.
We take these on as one monthly engagement.
Usage policies, approved models, cost caps, and data rules, set in month one and kept current.
Where AI helps most, ranked and kept current, with data readiness reviewed.
One recurring workflow each month, built, tested on real work, and handed over.
Live series, office hours, new-feature briefings, and new-hire onboarding.
Ad hoc requests between sessions are included.
A selection of workflows. Open one to see more.
Opportunities tracked across inboxes and spreadsheets and screened inconsistently.
A two-pass search: strict against your criteria first, then loosened to catch what a rigid filter misses. Evidence is visible, with a confidence level and human review.
A written procedure the team runs on its own.
Your expertise lives in documents, decks, and a few people's heads.
A custom interactive tool that layers your frameworks, research, and relationships, so your team can guide a live conversation.
The content and the judgment. Your team leads the conversation and the tool supports it.
Information sits in emails, documents, spreadsheets, and public sources, and recurring updates are assembled by hand each cycle.
A workflow that gathers internal and external sources, extracts the key facts, and fills a standard template for each reporting cycle. Sources stay visible and a person reviews before anything goes out.
The templates, the source list, and the review step.
Updates arrive across newsletters, alerts, and feeds, and no one has a complete view.
A single digest of relevant developments, summarized with sources and routed to the right person.
The source list and routing rules.
Hands-on work: regular meetings to review the roadmap, test and iterate on workflows together, and a deep understanding of your goals before anything gets built.
Ad hoc requests come in at any point.
Best for leadership teams that want a strategic partner inside the organization.
The retainer is the main way to work together. These are available on their own, scoped and quoted per project.
A half or full day to map where AI fits your organization.
A single session or a multi-week series, built on your team's work.
Policy, risk, and an AI roadmap for leadership.
A defined workflow, built and handed over.
Common Practice is a fractional AI advisory practice led by Sharon Park. It works with leadership teams to put governance, training, and workflows in place so that AI is used consistently across the organization.
Sharon has spent more than a decade in operations roles at Goldman Sachs, Uber, Cruise, and Credal AI. At Credal she was the first business hire and advised enterprise, government, and technology customers on rolling out AI across their organizations, including governance, usage policies, training, and the choice of workflows to start with.
Common Practice takes on a small number of clients at a time, chosen for fit. Sharon leads each engagement directly, with no junior staff between her and the client. She is based in New York City.
Book a callThe best place to start is a 30-minute discovery call. Tell us where the work feels stuck and we'll tell you, honestly, whether we can help and what we would build first.
Prefer email? Reach us at sharon@commonpractice.ai