06 / CUSTOM AI PIPELINES

Build a workflow
around your
real work.

Custom AI-assisted pipelines for scientific analysis, evidence review, document preparation, and regulatory research workflows.

THE ENGAGEMENT

Connect scientific expertise with the right tools.

We design workflows around the material you work with, the questions you need to answer, and the outputs your team needs to review. Our own SourceTracer platform provides the foundation for appropriate evidence and analysis tasks. Each engagement defines the data boundary, tool chain, integration, and development required.

Design the workflow

Map the input material, decisions, outputs, access requirements, and points where expert review is needed.

Build & evaluate a pilot

Implement a bounded workflow and evaluate it against representative material and agreed acceptance criteria. Examine output quality and failure cases.

Integrate & support

Document the workflow, prepare the handoff, and define integration, versioning, evaluation, and ongoing support within the agreed scope.

WHEN TO BRING US IN

Does this sound
like your project?

  • Your team repeats the same evidence or document-review tasks.
  • Research data and supporting documents need a coordinated analytical workflow.
  • You want source-linked outputs that reviewers can inspect.
  • A generic AI tool does not fit your material or review requirements.

A CONCRETE HANDOFF

Know what
you will receive.

Deliverables are agreed before the work begins. Depending on scope, they may include:

A GRAHAM SCIENTIFIC PLATFORM

Meet
SourceTracer.

SourceTracer is our own privately operated scientific and evidence platform, developed at Graham Scientific.

The consulting engagement brings together your question, David’s scientific direction, and a workflow designed for the task. Explore SourceTracer’s own site for its platform presence and published material.

Explore SourceTracer.ai

WHERE WE START

A conversation, then a defined scope.

Begin with one representative workflow, sample material approved for use, and a clear definition of a useful output. We establish feasibility and the evaluation approach before broadening the implementation.

Tell us about the project

LET’S FIND A WAY FORWARD

A difficult question is a good place to start.

Tell us what you are trying to understand, what you have, and what is getting in the way.

Discuss your project