Common Practice helps lean executive teams turn recurring, high-value knowledge work into AI-assisted workflows their staff can actually run. We find where AI is worth applying, redesign the workflow around real materials, build the first usable version, add review gates, and train the team to own it.
Opportunities are tracked across inboxes, referrals, websites, spreadsheets, and individual judgment.
A structured screening workflow that captures source materials, applies consistent criteria, flags diligence gaps, and prepares the next human review.
A senior person pulls together background, relationship history, notes, risks, and open questions before every important meeting.
A repeatable prep workflow that drafts concise briefs from approved sources and highlights what needs human judgment.
Teams rebuild updates from raw notes, metrics, documents, and prior decks each month or quarter.
A source-grounded reporting workflow with reusable structure, review checkpoints, and clear ownership.
Relevant updates are scattered across newsletters, websites, filings, emails, and "did anyone see this?" messages.
A standing monitoring workflow that summarizes relevant changes, explains why they matter, and routes them to the right owner.
Staff rely on memory, Slack searches, old docs, and repeated questions to find how work gets done.
A maintained AI-assisted knowledge workflow that helps the team retrieve context, draft next steps, and know when to escalate.
The hard part is defining the work step by step: mapping the realistic, efficient version of the workflow before any tool enters the picture, then documenting it clearly enough that the whole team can follow it. Once the workflow is that clear, the right tool is obvious.
We know what's overbuilt, what's maintainable, and what's actually worth doing. We flag what's overbuilt before you pay for it.
We scope a discrete piece of work, build it alongside your team, and hand it off in a state you can own. When we leave, the workflow stays and keeps running.
Choosing the right workflow, designing the review gates, training the team, and making the new way of working stick — that is the work. Most engagements spend 90% of the time on the tool and ten percent on when to use it. We reverse that.
The practice is kept small and the relationships close. That means it is a fit for some teams and honestly not for others.
Most clients start with a workshop or move straight into an adoption sprint once we know where the value is.
A fixed-scope, four-week engagement that opens with a workflow audit, builds the highest-leverage workflow on your real cases, and ends with your team owning it.
Book a workflow discovery callA half or full day with your leadership team. We map where AI will move the needle and where it won't, and leave with a prioritized, honest list you can act on.
A structured series that turns a workflow into repeatable team skill: hands-on sessions on your real cases, a written playbook, and review gates your staff run themselves. Runs alongside a sprint or on its own, scoped to the depth your team needs.
After a sprint, we stay embedded on a limited basis: implementing the next workflows, deepening team training, running office hours, and keeping the backlog moving.
Engagements are priced against the value of the problem being solved, typically 10 to 30 percent of its first-year cost to you. If we can't estimate the return together, the scope isn't ready yet. We work that out on the call.
I have spent more than a decade inside operations where the work was complex, cross-functional, and high-stakes — from Goldman Sachs to Uber to Cruise to Credal AI.
At Credal, I was the first business hire and advised enterprise, government, and tech customers on getting AI use to show up in weekly work, not just individual experiments: where it could help, what needed governance, and what had to change in the workflow for the tool to matter.
Common Practice is built around that lesson. The hard part is rarely access to an AI tool. It is choosing the right workflow, designing the review gates, training the team, and making the new way of working stick.
I run a selective client load by design: senior-led work, direct implementation support, no bench of junior staff between us.
Book a workflow discovery 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