AI Workshops & Executive Training
Hands-on sessions for leadership teams and the people doing the work, built on your real tasks and the tools you already license. People leave using AI, not just hearing about it.
AI enablement for executives who are past the headlines and need a plan. We train your teams on the tools you already pay for, find the use cases worth funding, fix the data and process underneath, and stay until the good ones are running. J.Caresse & Company is an AI enablement firm for retail, consumer, and mid-market companies.
Most leaders we meet are not behind on AI. They are surrounded by it: Copilot licenses nobody opens, three vendors pitching agents, a board asking for the AI plan, and a team quietly pasting work into ChatGPT. What is missing is someone senior to sort it out and put it in order.
That is AI enablement. We start with your people and what they can do with AI this week. Then we find and rank the use cases worth real money. Then we repair the data, process, and decision rights underneath so the best ones scale. Training without use cases is a nice afternoon. Use cases without the foundation are pilots that never ship.
Every enablement engagement comes with a fractional chief of staff: one senior operator who runs the cadence, holds owners to their dates, and tells you in plain language what is working and what is not.
Hands-on sessions for leadership teams and the people doing the work, built on your real tasks and the tools you already license. People leave using AI, not just hearing about it.
We walk your teams' actual work, find the tasks AI can take on, and score each one on value, effort, data, and risk. You get a ranked list of use cases with owners, not a slide of possibilities.
The records, definitions, and workflows your top use cases depend on, repaired and owned. This is where most AI programs quietly fail, so it is where we spend real time.
An acceptable-use policy people can follow, data rules, risk tiers, and a clear answer to who approves what. Guardrails that speed adoption up instead of freezing it.
We take the first use cases from test to daily use, measure the result against a baseline, and decide with you what to scale, fix, or stop.
A senior operator attached to the program who runs the weekly cadence, manages vendors, and gives you honest status. Included in every engagement.
Every workshop is vendor-neutral and built around your company's own tasks, data, and tools. Pre-work is short and optional, and it makes the live demonstrations sharper. Jessica facilitates personally.
What AI can and cannot do in your business today, where peers are getting value, and the questions to ask every vendor. Your leadership team leaves with a shared view and its first use cases to test.
Everyone leaves with the same understanding: what AI is and is not, how the main models differ, approved versus unapproved tools and where your data goes, what an agent is, and a live demonstration on a tool you already own.
Learning in the morning, building in the afternoon. Teams rank their own ideas with a simple checklist, then build a working solution on a tool you already have and show what got in the way.
Map how the work actually gets done, build in groups, agree the ground rules for safe use, and finish with a ranked list of use cases, each with an owner, and an optional readout to leadership.
Training shaped to one role's daily work, such as executive assistants, creative and design teams, finance, or operations, including prompting habits and custom assistants built in tools like Microsoft Copilot.
We prepare your own people to teach AI inside the company, build the materials with them, and co-facilitate the first sessions, so adoption keeps going after we leave.
Meet your people where they are. Workshops and interviews show what teams already do with AI, where the time goes, and which data and processes can support more.
Rank the use cases, set the guardrails, and design the data and process fixes the top ones need. You approve a sequenced plan with owners and dates.
Put the first use cases into daily use, measure them against a baseline, train the next cohort, and scale what works, with a fractional chief of staff running the cadence.
The end state: leaders who can explain where AI is paying off, teams who use it every day without workarounds, a short list of use cases running in production, and the data, governance, and habits to keep adding more.
AI enablement is the work of getting a company to use AI well and on purpose. It covers training people on the tools, finding and prioritizing the use cases worth funding, fixing the data and processes those use cases depend on, setting the governance, and taking the first ones into daily use. It is broader than an AI readiness assessment, which only tells you where you stand.
An AI use case is one specific piece of work, with a named owner and a measurable result, where AI does part of the job. Examples: drafting the weekly vendor recap, matching remittances to invoices, summarizing store visit notes, or flagging stores whose inventory counts drift. If you cannot name the task, the owner, and the measure, it is an idea, not a use case.
Start with people and real work, not tools. Get your leadership team to a shared understanding of what AI can do, then have the people closest to the work list the tasks that eat their time. Score those tasks on value and feasibility, pick two or three, set basic guardrails, and run them with a measured baseline. Most of our clients begin with an Executive AI Briefing or a half-day AI Enablement Foundation workshop.
Look for an advisor who can train your people, prioritize use cases, and fix the operations underneath, and who is not selling a single software product. J.Caresse & Company is vendor-neutral and led by Jessica Caresse, an operations executive with experience at McKinsey, Cisco, and Hitachi Solutions, who facilitates the workshops personally.
AI readiness asks whether your data and systems could support AI. AI enablement includes that question and then does the work: training, use cases, governance, and adoption. Readiness is a diagnosis. Enablement is the treatment plan and the follow-through.
The ones you already have or are evaluating, including Microsoft Copilot, ChatGPT, Claude, and Gemini. We are vendor-neutral, so the advice is about fit for your work, data, and risk, not about which product we resell.
Because AI programs rarely fail for lack of ideas. They fail when nobody senior owns the follow-through. A fractional chief of staff runs the cadence, keeps owners and vendors on their dates, and reports progress honestly, so your leaders do not have to chase it.
Advisory capacity is intentionally limited each quarter to protect depth and delivery. Share where you are and where you're heading. Jessica responds personally.