AI training and applications
AI for teams where mistakes are expensive.
BC Consulting trains teams to build with AI, develops the applications they cannot buy off a shelf, and helps leadership turn individual experiments into an operating model. We work where a wrong answer has real consequences: the clinical trial ecosystem, for sponsors and the service providers that support them. Everything we teach, we run our own business on first.
Who we work with
One field, one standard. The practice speaks the language of the people who run trials, with its own examples, agenda, and buyer.
What we do
The same three services run underneath both practices. Each vertical page shows what they look like in that field.
AI Training
Programs that end with working tools, not a certificate of attendance. Every participant builds something they can use the next morning, in their own account, against their own work.
How it works →AI Application Development
Agents, document pipelines, and decision tools built around your systems, your data boundaries, and your rules. You own what we build, and your team learns how it works while we build it.
How it works →AI Implementation
The path from a few enthusiasts to an organization with a position: tool selection, governance, rollout, and the measurement that lets you report honest numbers to a board.
How it works →Why a former teacher runs this firm
Bryan Clayton, M.S., taught high school music for nine years before twelve years in clinical trial software, most of it on IRT and RTSM systems where a bad configuration shows up as a dosing error. He has coached baseball at North Penn High School since 2016. That combination is the whole method: the patience to teach a room of skeptics, and the scar tissue to know which shortcuts get a team in trouble.
This site, our learning platform, and the agents behind our own operations are built and maintained with the same workflows we bring to clients. When we say a team can build its own tools in a day, it is because we have watched it happen.
Start today with a self-paced course
The same curriculum we teach live, on the BC Consulting Learning Platform. Enroll online and start the same day; the first course is free.
Intro to Prompt Frameworks
A practical, hands-on intro to structured prompting for clinical trial work. Learn the C.R.E.A.T.E. and I.D.E.A. frameworks (plus five more), practice on every exercise with a live AI coach built right into the page, and see how agentic AI applies to clinical operations. No prior AI experience needed, and free to take.
Start free →$129Claude for Clinical Trials: Foundations
Start using Claude confidently in your clinical trial work: safely, effectively, and without the hype. Learn how large language models actually behave, master the C.R.E.A.T.E. prompting framework, build verification habits that hold up in a regulated industry, and leave with a working Claude setup plus a starter prompt library built around real clinical operations tasks. No prior AI experience required.
View course →$179Claude for Clinical Trials: Building Your AI Workflows
Move from one-off prompting to repeatable AI systems. Build Claude Projects for your studies, write context files that teach Claude your therapeutic area, author reusable Skills that run your recurring work on demand, and add the verification layer that makes AI output trustworthy in a GxP world. Every module ends with a template, skill file, or checklist you keep. For clinical trial professionals already comfortable chatting with AI.
View course →$249Claude for Clinical Trials: Agents, Automation & Governance
Delegate whole workflows to Claude, with the guardrails a regulated industry demands. Learn the delegation ladder from chat to scheduled autonomous tasks, connect Claude to your files, inbox, and browser, design recurring briefs that run without you, and classify every AI workflow with a risk-based governance framework aligned to where FDA and EMA are heading. The capstone: a complete agent design for your own role, stress-tested before you build it.
View course →Latest writing
Articles go to LinkedIn first and land here a week later.
Clinical Research
All Clinical Research posts →What the Fable Suspension Exposes About AI Risk in Clinical Trials
On June 12 the US government suspended access to a frontier AI model used by hundreds of millions of people. For clinical trial technology companies validating AI under FDA guidance, it exposed a question the regulations do not answer: what happens when the model you built on is no longer yours to control.
6 min read
Where AI actually helps a small clinical operations team
The pattern from MIT Technology Review's small-business AI piece applies to small clinical ops teams, with sharper stakes. Where AI fits, where it does not, and what separates the teams getting real value from the ones still talking about it.
4 min read
What Anthropic's $400M Biotech Acquisition Means for Your eClinical Stack
Anthropic paid $400M for a biotech team working inside regulatory workflows. What that acquisition signals about the future of the eClinical stack and the questions clinical operations leaders should be asking their vendors now.
4 min read