Cross-functional evidence operations

Make evidence work as one operating system.

StromaOS connects knowledge management, evidence generation planning, decision packages, commitments, governance, cross-functional execution, and lifecycle handoffs in one shared operating environment.

Shared evidence context Connected commitments and gaps Governed cross-functional execution Persistent organizational memory
The cross-functional operating problem

The highest-value evidence work sits between systems and functions.

Discovery, clinical, safety, regulatory, HEOR, market access, medical affairs, and quality often answer connected questions using separate repositories, vocabularies, timelines, tools, review models, and decision records.

01 · Context loss

Each handoff rebuilds the evidence story.

Teams receive documents and outputs without the assumptions, definitions, unresolved questions, decisions, and source context required to use them efficiently.

02 · Planning fragmentation

Evidence commitments are managed outside the decisions they support.

Studies, analyses, experiments, reports, submissions, market commitments, and follow-up actions are tracked in separate planning systems and local spreadsheets.

03 · Institutional memory loss

The organization remembers artifacts, not reasoning.

Why a decision was made, which evidence was rejected, what uncertainty remained, who disagreed, and what happened afterward are difficult to retrieve and reuse.

04 · Governance inconsistency

Each function governs AI and execution differently.

Independent pilots, agents, models, tools, and internal applications create inconsistent controls for data, methods, quality, human authority, release, and traceability.

How the solution works

Cross-functional work becomes one governed question-to-memory chain.

StromaOS coordinates evidence questions, shared context, work plans, domain execution, quality gates, accountable decisions, commitments, downstream actions, and organizational memory.

STEP 01

Frame the evidence question

Decision, claim, gap, risk, commitment, study, analysis, market need, or lifecycle issue.

STEP 02

Assemble shared context

Sources, definitions, prior work, decisions, assumptions, gaps, commitments, owners, and deadlines.

STEP 03

Plan the work

Studies, analyses, experiments, workflows, dependencies, milestones, evidence standards, and review authorities.

STEP 04

Execute across functions

Domain agents, methods, tools, systems, quality gates, exception routing, and accountable human review.

STEP 05

Decide and commit

Decision package, approvals, actions, owners, downstream effects, commitments, and next evidence.

STEP 06

Preserve and reuse

Evidence, versions, rationale, dissent, outcomes, lessons, and reusable lifecycle context.

Lifecycle continuity

Evidence and decisions carry forward instead of restarting at each stage.

StromaOS preserves shared meaning while allowing each function to extend the evidence under its own standards, methods, policies, and authority.

One approved cohort serves many functions. HEOR, safety, medical writing, clinical operations and market access receive the same versioned population by reference rather than each rebuilding it.

STAGE 01

Discovery

Mechanism, target, translation, risk, portfolio rationale, gaps, and evidence hypotheses.

STAGE 02

Preclinical

Translational evidence, safety, exposure, readiness, unresolved risk, and planned work.

STAGE 03

Clinical

Protocols, endpoints, studies, operations, MIDD, safety, decisions, and cross-study learning.

STAGE 04

Regulatory

Claims, evidence packages, submissions, questions, commitments, approvals, and responses.

STAGE 05

Launch & access

Value evidence, payer needs, medical questions, local adaptation, and market commitments.

STAGE 06

Lifecycle

Safety, RWE, quality, label, market learning, evidence gaps, and lifecycle optimization.

Evidence operations control

See the work, the gaps, the decisions, and the consequences in one place.

StromaOS does not replace every specialist system. It creates the shared operating layer that connects those systems through common entities, evidence questions, workflow states, decisions, commitments, risks, milestones, and authority.

Leadership can review program and portfolio readiness without flattening the underlying scientific and functional detail.

Model an evidence operating review
Governance across functions

One Governance Spine can preserve different functional authorities.

StromaOS applies a common execution architecture while keeping scientific, clinical, safety, regulatory, quality, market, medical, and portfolio decision rights separate.

Explore the Governance Spine
01

Shared semantic governance

Common entities, definitions, ontologies, classifications, lineage, and temporal context allow functions to work from consistent meaning without forcing identical applications.

02

Purpose and authority boundaries

Role, purpose, function, program, data class, jurisdiction, workflow state, model, tool, action, approval, and release permissions are evaluated before execution.

03

Cross-functional quality gates

Evidence sufficiency, method validity, reproducibility, completeness, confidence, unresolved uncertainty, dependency, and required review govern progression.

04

Human authority by function

Scientific, clinical, safety, regulatory, quality, economic, medical, and portfolio authorities remain distinct and accountable even inside shared workflows.

05

Evidence Data Trace

Sources, transformations, methods, prompts, models, versions, policies, decisions, approvals, commitments, actions, outcomes, and reuse remain reconstructable.

Start with one cross-functional decision, evidence plan, or lifecycle handoff.

Connect the systems and evidence already in use. Define the shared context, functional authorities, quality gates, commitments, owners, and decision record. Then run the work as one governed evidence operation.