Proofhouse
Workflow evidence and control for AI-assisted operations.
Proofhouse connects workflow context, readiness, analysis, incident memory, and governance so teams can automate consequential workflows without losing evidence, QC checks, review states, or ownership. The first proof path is a guided implementation: one workflow slice, one owner, one normal path, and one exception path.
Point automation can move work faster. Systems of record can store the final business record. The gap is the QC layer between them: what evidence was used, which checks passed, which cases needed review, what failed, and what should improve next.
Teams still move work across systems, portals, queues, inboxes, and review loops while trying to preserve the context behind each decision.
Sits around the workflow as a continuous QC and evidence layer. Captures context, checks source evidence and review state, scores readiness, routes exceptions, captures failures, and builds the control record needed for governed automation.
AI agents, RPA, IDP, and point automation can move work faster, but regulated teams still need evidence, review states, exception handling, and workflow ownership.
WORKFLOW CONTEXT
ACTIVECaptures how the operational workflow actually runs so the rest of the platform has a grounded, queryable operating record.
WORKFLOW OBJECTS
Create a live model of the workflow, not just a pile of tasks or source files.
OWNERSHIP + ESCALATION
Keep named owners, escalation paths, and approvals attached to the work.
REQUIRED INPUTS
Track the inputs, records, decisions, and destination systems each case depends on.
EVIDENCE + APPROVALS
Preserve source refs, review history, supporting records, and decision evidence.
SIGNALS + EXCEPTIONS
Track missing information, conflicting records, low-confidence outputs, and weak handoffs.
CONNECTORS + GROUNDING
Pull context from the systems, portals, documents, and knowledge the workflow already depends on.
ANALYST
ACTIVEMakes the operating record accessible to workflow owners, operators, and compliance teams who need answers without rebuilding context manually.
ANALYST Q&A
Ask what happened, what needs review, which evidence supports a decision, and what is blocked.
BRIEFINGS + REPORTS
Generate review-ready summaries and evidence packets without rebuilding context manually.
RISK SURFACING
Surface missing information, escalation pressure, control gaps, and recurring exception patterns.
READINESS
ACTIVEAnswers which parts of the workflow are ready for automation, which require review, and which are blocked.
WORKFLOW STABILITY
Measure repeatability, reversibility, and exception pressure inside the workflow.
DEPENDENCY RESILIENCE
Expose fragile portals, destination systems, handoffs, and downstream dependencies early.
OVERSIGHT + OWNERSHIP
Check for named owners, escalation paths, override rights, and fallback modes.
CONTROL READINESS
Assess whether approvals, logs, and decision records exist where they need to.
AUTOMATION FIT
Separate safe, repeatable tasks from high-impact work that still needs tighter controls.
TRUST-GAP DIAGNOSIS
Turn weak spots into a clear explanation of where the workflow is most exposed.
REMEDIATION PRIORITIES
Rank the fixes that most improve readiness before the next stage of scale.
READINESS ROLLUPS
Roll workflow findings into a broader operating picture without losing local detail.
FORGE
OPEN COREEnsures the organization learns from workflow failures, routing misses, missed escalations, and recurring exception patterns.
INCIDENT RECORDS
Capture structured incidents tied to the workflow, subject, evidence, and review path involved.
FAILURE TAXONOMY
Classify context, routing, review, evidence, escalation, and redaction failures.
PATTERN ANALYSIS
Identify recurring failure modes across incidents, workflows, case types, and time.
PLAYBOOK GENERATION
Generate response playbooks from analyzed patterns and prior resolutions.
Open-core release: reusable tooling and schemas are public; live incident corpora and proprietary learnings stay private.
VIEW FORGE ON GITHUBGOVERNANCE
EARLY IMPLEMENTATIONThe early governance kernel for review-required decisions, rights and redaction posture, approval records, and evidence operations. It is not yet a finished runtime control plane.
POLICY LIFECYCLE
Author, publish, version, and govern policy bundles with clear approval lineage.
CONTROL EVALUATION
Run deterministic review-required logic against workflow events, routing steps, and use approvals.
EVIDENCE OPERATIONS
Record evidence, lineage, redaction posture, and delivery artifacts for governed operations.
Current focus is kernel infrastructure rather than a fully productized enterprise governance control plane.
Integrated through shared workflow context
BOUNDARY RULE: IF ANY CAPABILITY BEGINS STORING ANOTHER LAYER'S CANONICAL TRUTH, BOUNDARY DRIFT IS HAPPENING.
Proofhouse is built from operating experience in regulated environments where documents, decisions, reviews, and evidence have to stand up later. The platform's governance roadmap is informed by practical workflow controls and broader regulatory forcing functions:
Mandatory compliance obligations including major deployer requirements landing August 2, 2026.
Voluntary but increasingly referenced in procurement and governance design. Proofhouse is being shaped around the operational evidence these functions require.
Emerging international standard for AI management systems. Proofhouse is being built to support operational evidence and control requirements.
Financial services (Freddie Mac AI/ML governance), healthcare, insurance — sector requirements that demand operational proof.
Start with one workflow slice, one owner, and a review loop you can prove.
We help teams scope and implement the first controlled workflow slice where automation has to preserve evidence, exception discipline, and human accountability from the start.
ASSESS A WORKFLOW