← Enterprise AI
← Enterprise AI
A hands-on, 1–4 day sandbox where your own people build real, reusable AI workflows on your own work.
Most firms adopt AI the quiet wrong way: a few enthusiasts with chatbot subscriptions, a scatter of one-off wins, and no change to how the organization actually operates. That is motion without transformation. The Sandbox is the deliberate alternative — your analysts, managers, and leaders leave with working assets they use the next morning, and your firm leaves owning the expertise it captured along the way.
Modern AI no longer just retrieves or autocompletes. It drafts analysis, structures data, and reasons through multi-step work in the voice of an expert — changing the unit economics of nearly every deliverable.
Every competitor can buy the same models at the same price. What can't be bought off a shelf is an organization where AI is woven into how work gets done — and the proprietary expertise it captures along the way.
Left to organic diffusion, firms get islands of excellence, a long tail of skeptics, and the real risk of an unverified output reaching a client. A deliberate, governed rollout captures the upside while protecting the franchise.
A generic AI workshop fails an expert room. Every engagement begins with short scoping sessions so day one starts with your reality, then scales across one to four days.
Leadership alignment on the vision and non-negotiables; service-area deep dives to find the highest-pain workflows; data & tooling readiness; and curation of four to six concrete, buildable Challenge Tracks. No setup burns workshop time.
Foundations and first builds. We demystify, reframe the work as AI-native, and get every participant shipping something small and real with the best AI available today.
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Compounding and operationalizing. We chain single prompts into workflows, make them safe, make them stick, and look at what changes when the intelligence is yours.
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An optional third day that takes the highest-value workflow in each department from a rough prototype toward a production-ready system.
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An optional fourth day that stands up a working pilot of your lighthouse workflow on owned or hybrid infrastructure, with a real adoption plan attached.
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Most workshops fail not in the room but in the weeks after. Champions run their builds on live work, the prompt library moves to a permanent home, and a named owner carries the momentum. By day 90 the success metric is reported to leadership and the next tier of opportunities is set.
At least 60% of the clock is hands-on-keyboard. Inspiration fades by week two; a working asset you used on a live project does not. Every participant ships.
Every exercise traces to a real, de-identified deliverable of yours. Generic demos lose credibility with experts in the first ten minutes.
Every workflow keeps verification, provenance, and human sign-off in the loop. We treat AI output as a knowledgeable but unreliable junior draft — useful, never authoritative.
We pair skeptics with power users. The skeptic becomes the quality conscience; the power user becomes a coach. No one is left behind, no one is bored.
Every reusable asset is captured into a shared library on the spot, and adoption is owned and calendared before anyone leaves the room.
The assets, the patterns, and ultimately the intelligence itself accrue to you. We build toward capability you keep, not dependence on us.
Trust is the product. We will never model a workflow that trades defensibility for speed.
| Lab | Output | The discipline it teaches |
|---|---|---|
| Augmented Analysis | A verified, sourced findings memo | AI drafts; the human owns the truth |
| The Reusable Prompt | A tested, parameterized prompt in the shared library | One-off help becomes a firm-wide asset |
| End-to-End Sprint | A working, hardened AI pipeline on a real Challenge Track | Prompts become systems, with guardrails built in |
An AI-native playbook for every participant, plus at least one working artifact each — runnable the next morning.
Tested prompts and templates organized by team, that grow into firm infrastructure rather than scattered tabs.
An AI usage & governance standard, co-authored by the team and approved in principle by leadership.
An opportunity backlog scored by impact × effort, each item with a committed owner.
An adoption roadmap with named champions, metrics, and check-ins already on calendars.
A hardened, reusable pipeline on a real Challenge Track — the seed of how the team now works.
Only approved tools; de-identify by default; never expose confidential or NDA-covered data.
Every number, fact, and claim checked against its source by a human, with the model showing its work.
Client-facing output cites to the same standard as fully human work.
Nothing reaches a client without normal human sign-off. AI assistance raises the bar; it never lowers it.
Four yes answers means ship.
Thirty days later, how many of the workflows built are still in repeated use? Everything in the engagement is engineered to make that number high.
| Metric | Target |
|---|---|
| Participants who ship at least one reusable artifact | 100% |
| Opportunity backlog items with a committed owner | 10 or more |
| The single leadership metric, defined in scoping | Baseline → 90-day target |
| Workflows in repeated use at Day +30 | The headline number |
Pods, power, strong Wi-Fi, and a wall for the Opportunity Wall, for the days you choose.
Across levels — leadership, managers, analysts, and frontline staff. Leadership participates as builders, not observers.
Four short scoping meetings, live and tested AI accounts before day one, one de-identified artifact per person, and a named champion to own the 90-day follow-through.
A presentation-ready deck covering the thesis, both days hour-by-hour, the labs, governance, ROI, and the path to production — everything a leadership team needs to say yes.
A subscription is a cost that recurs. An organization that changed how it works — and the intelligence it now owns — is an asset that compounds.
A 30-minute conversation confirms scope, dates, and fit.