Downloads
Downloadable resources for governed AI in regulated environments.
A structured body of work on runtime governance — how systems decide what is allowed to happen at execution time across AI, APIs, and workflows.
Whitepapers, briefs, workflow proof packs, and evaluation materials for teams building AI into clinical, legal, fintech, and other high-stakes workflows.
Downloads reflect the current edition. For current features and implementation status, see the capability status.
Built for enterprise buyers who need sharper artifacts than a product page.
Start here
If you're new to LSAS Platform, this sequence walks through the model from concept to execution.
Flagship whitepaper
Runtime Governance for Regulated AI
Why policy-only AI governance breaks in production
A category-defining whitepaper on why high-stakes AI needs runtime control, evidence thresholds, deterministic validation, and proof of findings-not just policy documents and audit logs.
- Why policy-only governance fails at execution time.
- Where LSAS Platform fits between applications, agents, APIs, and systems of record.
- What runtime proof looks like after allow, constrain, abstain, or escalate decisions.
- Why regulated teams need more than auditability to operationalize AI safely.
Featured cover
Governed AI at the execution layer for regulated and high-stakes workflows.
Download the flagship whitepaper as a PDF now.
Resource library
Resource library
Forwardable collateral for executive, technical, governance, workflow, and evaluation conversations.
Showing 9 of 9 resources
Runtime Governance for Regulated AI
Why policy-only AI governance breaks in production
A category-defining whitepaper on why high-stakes AI needs runtime control, evidence thresholds, deterministic validation, and proof of findings-not just policy documents and audit logs.
Inside LSAS Platform
How deterministic validation, policy packs, escalation, and audit telemetry work
A technical architecture brief covering the six-step runtime pipeline, decision envelopes, control surfaces, deployment boundaries, and how LSAS Platform translates governance into explainable execution.
Authority at Runtime
What AI is allowed to say, do, and rely on - under what conditions
A governance brief for teams defining runtime authority, evidence sufficiency, release conditions, escalation logic, and proof requirements for AI-assisted workflows.
Alignment Before Autonomy
How legal, compliance, security, product, and engineering align around governed AI
An organizational alignment brief that turns governance from vague agreement into clear ownership, shared definitions, operating cadence, and executable policy decisions.
Sales resources
Governed Workflows in Practice
Clinical, legal, and fintech scenarios from the LSAS Platform sandbox
Representative high-stakes scenarios — clinical, legal, and fintech — evaluated under LSAS Platform governance. For product, platform, security, and compliance stakeholders.
Evaluating LSAS Platform in Your Environment
A practical guide to scoped evaluation, rollout planning, and proof of readiness
One workflow. One boundary. One definition of done. A practical guide to scoped evaluation and proof of readiness — for executive sponsors, platform, and security teams.
Applied Governance Engagement
A 12-week scoped engagement for one high-stakes workflow or boundary
A 12-week scoped engagement for one high-stakes workflow: control objectives, runtime implementation, reviewable artifacts. For executive sponsors, delivery leads, and domain owners.
Discovery Scan
Your first evidence before a pilot
Apply LSAS Platform policies to approved data and review findings, coverage gaps, and next steps. Discovery covers up to 3 environments. Contact for Pricing. Compare scopes and included technical support.
LSAS Platform Pricing
Pricing, included support and service commitments
Compare Discovery assessments, fixed-scope pilots and annual platform tiers, with included support hours, service categories, additional support rates and private-deployment responsibilities.
Answer set
What these resources help you answer
What is runtime governance, and why is it suddenly urgent?
Runtime governance becomes urgent when AI moves from demos into workflows where outputs trigger regulated actions, customer impact, or legal exposure.
How does LSAS Platform translate policy into runtime behavior?
LSAS Platform maps policy packs and deterministic validators to explicit decisions with evidence thresholds, escalation logic, and release controls.
What proof should exist after AI output is allowed, changed, withheld, or escalated?
Each decision should carry auditable evidence: findings, thresholds, remediation steps, and traceable metadata tied to a policy version.
What does a serious first evaluation look like in a real environment?
Discovery starts with approved data, local policy evaluation and reviewable findings. Use the evidence to scope a pilot with one workflow, one boundary and one definition of done.
Start with one workflow, one boundary, and one definition of done.
Explore LSAS Platform in your environment or run through the sandbox to see how decisions are evaluated at runtime.
Related links
Move from policy language to governed execution.
Explore the Sandbox, download the resource set, or schedule a working session to scope the first workflow or boundary.