Barbrick AI Strategies is led by Charlotte Barbrick, a computer scientist (B.S. and M.S., LSU, Cybersecurity and AI) and founder who turns manual, repetitive operations into working AI systems. She specializes in going from messy real-world requirements to a tool a non-technical team runs every day, then training the team to trust and use it.
Master's-level computer science training with a focus in artificial intelligence.
Published work in AI education, built around making the field easier to understand.
Hands-on experience creating LLM apps, AI assistants, agents, and automation systems.
BAIS sits at the intersection of technical depth and business translation: computer science training, AI specialization, published work in AI education, and the practical ability to explain emerging technology to people who need to make decisions with it.
Clients range from a major public transit agency and a marine dealership to a development company and one of the most-followed creators in the world.
Designed and built an automated daily lineup generator for the Transit Rider Investment Program, replacing a roughly three-hour manual scheduling process performed every morning by program management.
Conducted full requirements discovery from real operational documents: agent rosters, validator and radio number logic, line certifications across 7+ transit lines, role assignments (Lead, Rover, Trainer), lunch-spacing rules, and no-pair constraints.
Reduced the daily process to four inputs (date/shift, call-outs, weather/events, and roll call time), producing a finished, email-ready lineup that handles substitutions, backfill, and event-day coverage for games, the State Fair, and marathons.
Set up custom personal AI bots tailored to an extremely high-output creator's workflows, priorities, and voice.
Automated the repetitive communication and organization layer so attention stays on high-value creative and business work, built for a principal with zero tolerance for tools that add friction.
Built AI automation for a development company's document-heavy, coordination-heavy operations, converting slow manual workflows into repeatable systems the internal team runs independently.
Scoped automations around how the business actually operates, its schedules, handoffs, and status reporting, rather than forcing new software onto the team.
Integrated AI into the daily operations of a marine dealership and automated the repetitive work surrounding parts lookups, customer questions, quoting, and seasonal demand.
Delivered training and usage standards so non-technical staff adopted the tools confidently.
Runs an AI consultancy covering four services: automation (building AI tools for daily work), integration (wiring AI into clients' existing CRM, inventory, email, and industry systems), education (hands-on team training, prompt libraries, usage standards), and strategy (opportunity mapping, build-versus-buy, vendor evaluation, governance).
Owns the full engagement lifecycle: outreach and sales, requirements discovery, system design and build, testing against real client data, team training, and post-launch refinement.
LLM-powered assistants and agents, workflow automation, prompt engineering, retrieval over business data, and multi-agent orchestration.
CRM, email, and calendar automation, scheduling and rostering logic, constraint-based tools, Notion, ManyChat, and API-based integrations.
Cybersecurity fundamentals (LSU CS concentration, NSF SFS), AI governance, data boundaries, and privacy-aware system design.
Concentration in Cybersecurity and Artificial Intelligence.
Concentration in Cybersecurity and Artificial Intelligence.
Nationally competitive federal cybersecurity scholarship recipient.
Graduate training in computer science and artificial intelligence gives BAIS the technical judgment to evaluate models, systems, vendors, and strategy beyond buzzwords.
The firm is built around making AI understandable, useful, and teachable instead of mysterious.
Hands-on experience creating LLM apps, agents, assistants, and automation systems keeps recommendations tied to what can actually be implemented.
BAIS already exists as a business foundation for consulting, education, strategy, AI integration, and practical client implementation.
Approve is a separate app venture at approveapp.co, showing the same product-building mindset behind BAIS.
Consulting, education, implementation planning, and AI system design.
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