What the session covered
A practical controls playbook for finance teams: readiness, review, traceability, and where AI-enabled workflows can help without removing accountability.
Speaking and executive AI training
Keynotes, briefings, panels, and workshops for leaders who need to understand where AI belongs in the workflow, what needs governance, and how human review stays visible.
Sessions are scoped around the audience, format, decision context, and what the room should leave able to understand or do.
Past session
Thursday, July 23, 2026 · 12:00–1:00 p.m. Eastern · Live online · Hosted by Earmark
A practical controls playbook for finance teams: readiness, review, traceability, and where AI-enabled workflows can help without removing accountability.
Finance, accounting, controls, and operator audiences working in or alongside regulated cannabis businesses.
Recording coming soon. The public link will be added here when it is available.
View all eventsIn the room
The session should give people a language for real workflows, not just a list of tools to try later.
Best fit
Need a shared language for useful AI adoption, governance questions, and realistic next steps.
Need AI explained through accuracy, traceability, confidentiality, review, and defensible output.
Need a practical speaker who can make AI concrete without turning the session into a tool demo.
Topics
How teams separate useful workflow support from fragile AI experimentation.
Why source context, examples, review rules, and ownership matter more than prompt tricks.
How to keep human review, traceability, and decision rights visible without freezing adoption.
Practical adoption for teams where accuracy, confidentiality, and defensibility matter.
How persistent AI project spaces improve team output by retaining context, standards, and review habits.
Formats
Session outcomes
The goal is not to convince people AI is important. The goal is to make the next responsible step clearer.
Clear distinctions between tool demos, repeatable workflows, governance, and human review.
A way to identify where AI can support real work without removing ownership.
Better questions around source material, review, confidentiality, decision rights, and risk.
A practical first workflow or team habit to inspect after the session.
Speaker bio
Alyssa Clarcq is a CPA, AI operations advisor, and founder who helps leaders move from experimenting with AI to operating workflows they can trust. Her work focuses on governance, process design, human review, and what it actually takes for AI to hold up inside real businesses.
Conservative proof signals
This page uses verified credentials and public artifacts only. Named speaking history, client outcomes, or anonymized engagement examples can be added later once they are approved for public use.
Finance, controls, and professional judgment lens applied to AI adoption.
Founder-operator context from controls, SOX, finance workflows, and public-company readiness work.
Quoted in Business Insider coverage of practical AI tool adoption.
Practical workflow systems work across project memory, review layers, source context, and reusable instructions.
Next step
Include whether you are planning a keynote, panel, workshop, executive briefing, or leadership session, and what you want people to leave able to understand or do.
Request speaking availabilityQuestions? alyssa.clarcq@bricksadvisory.com
Open the forwardable overview