THE TECHNOLOGY VISION
AI is only useful
when it can work.
Intelligence needs context. Context needs structure. Foundry’s proposed architecture brings frontier models, business knowledge, and reviewable workflows together.
THE MODEL LAYER
Built on frontier
intelligence.
Claude is a planned model integration for the Foundry vision. Its intended role is to help reason over substantial context and produce useful, reviewable work—not to replace the people accountable for it.
Claude.
Frontier reasoning. Business context.
- Long-context document analysis
- Reasoning across multiple sources
- Summarization and synthesis
- Research assistance
- Generation of reviewable drafts
- Multi-step knowledge workflows
Planned integration only. No live Claude calls occur on this website. The reference does not imply a partnership, endorsement, or commercial agreement with Anthropic.
FROM CONTEXT TO ACTION
A system.
Not just a model.
A useful result depends on what surrounds the model: the source, the permissions, the workflow, and the person reviewing the outcome.
Explore the developer experienceConceptual architecture. This diagram describes the product vision, not infrastructure running behind the prototype.
Context in.
Intelligence through.
Action out.
A PRODUCT DESIGN VISION
Relevant information, source references, and access boundaries surround every task.
SECURITY & RESPONSIBILITY
Trust is a
design requirement.
These are design principles for a future implementation—not certifications, audited controls, or guarantees about a production service.
DESIGN PRINCIPLES · NOT CERTIFICATIONSAccess control
Design access around identity and least privilege, so the right people see the right context.
Data isolation
Keep organizational context separated and make data boundaries explicit throughout a workflow.
Permissions
Respect source-level permissions and distinguish permission to read from permission to take action.
Auditability
Make sources, workflow steps, and review decisions traceable rather than hiding them behind a result.
Secure APIs
Plan authenticated interfaces, input validation, scoped credentials, and careful handling of secrets.
Human oversight
Keep consequential decisions and external actions behind explicit, accountable human review.
Responsible AI
Communicate uncertainty, evaluate failure modes, and avoid presenting generated content as verified fact.
Transparency comes first.
Explore what runs locally, how forms behave, and where the product vision ends.
Read the prototype guideYOUR NEXT CHAPTER
Build what
comes next.
Give your organization an intelligence layer built
for the way modern work actually happens.