PROFESSIONAL SERVICES
Governance-native AI infrastructure for consulting, audit, and engineering firms
Constitutional RuntimeWho this is for
Management consultancies, accounting and audit firms, engineering and architecture practices, and specialist advisory groups deploying AI where a wrong answer touches client work-product, professional independence, or a partner-signed deliverable. When a model drafts an audit memo, structures a client recommendation, or generates engineering analysis, the constitutional surface belongs upstream of the model, not appended to the workpaper.
- Management and strategy consultancies
- Accounting, audit, and assurance firms
- Engineering, architecture, and design practices
- Tax, risk, and specialist advisory groups
- Research, knowledge-management, and delivery-quality teams
Capability surface
Constitutional runtime
The PRAXIS 7-Gate pipeline enforces governance on every AI action. It stops when unsure. Evidence is mandatory. Defaults deny rather than guess. Client drafts, analytical outputs, and partner-facing memos inherit this posture by construction rather than by review-stage overlay.
Work-product evidence
Every model call that touches a workpaper, memo, or client-facing artifact is recorded to a tamper-evident, SHA-256 hash-chained evidence store. Peer review, quality inspection, professional-standards review, and post-engagement audit trace by default, not retrofit.
Independence and confidentiality
Client-confidentiality boundaries, information-barrier rules, and audit-independence obligations carry deterministic guardrails at the runtime layer. Cross-client contamination, prohibited-relationship exposure, and inadvertent disclosure are blocked upstream of the model, not remediated downstream.
Regulatory and professional-standards alignment
Deterministic governance maps to auditor-independence regimes, engineering professional-practice standards, jurisdictional confidentiality obligations, EU AI Act obligations on high-risk uses, and sectoral privacy regimes. SOC 2 self-certified. ISO 42001 readiness-mapped.
Engagement-level partitioning
Each engagement carries its own governance envelope, evidence chain, and access boundary. Model outputs, retrieval indexes, and workpaper drafts stay bounded to the engagement of record and inherit the retention and disposition profile of the file.
Sovereign deployment
On-premise or private-cloud sovereign deployment for firms that cannot exfiltrate client papers, engineering models, or audit content to a vendor cloud. Evidence store and constitutional runtime run inside the boundary you already trust and audit.
Where governance meets the engagement
Professional-services AI applications compound risk when governance is retrofitted. ETHRAEON is designed for the classes of decision where partner sign-off, professional independence, and audit trail all matter.
- Audit and assurance workflow. Model-assisted analytical procedures, workpaper drafting, and evidence review carry sealed provenance: input population, model version, guardrail state, and reviewer authority.
- Consulting drafts and analysis. Client-facing memos, market analysis, and recommendation drafts pass through the constitutional runtime with confidentiality and source-attribution guardrails enforced by construction.
- Engineering models and calculation review. Model-generated engineering outputs, drawing narrative, and calculation-check assistance carry hash-chained provenance for engineer-of-record sign-off and post-project inquiry.
- Knowledge search across engagements. Firmwide retrieval respects engagement partitions, confidentiality classes, and prohibited-relationship rules by default at the runtime layer.
Mapped ETHRAEON products
The operational problem for a professional-services firm is proving, under client audit, dispute, or regulator review, that an AI-assisted professional decision was governed: that the obligations which bound it were identified, that alternatives were weighed against pinned policy, that a named owner held sign-off, and that enforcement state stays observable. A governed-decision pair and its observability layer run as one workflow. The concrete deliverable is a professional-decision trail: a replayable decision receipt, an obligation-to-control approval map, and a live enforcement-state view.
Compliance Engine
Live runtime, available by subscription. For a professional-services firm it captures the EU AI Act high-risk, professional-standards, and client-confidentiality obligations that bind a client-engagement, deliverable, or advisory determination and maps each to firm policy and control, holding the engagement determination itself separate from the evidence. It records the obligation, the obligation-to-policy-to-control mapping, and each evidence linkage through the governed runtime; every evidence linkage returns a SHA-256 evidence node. It organizes obligations, mappings, and evidence and never issues, claims, or implies certification. Sign-off remains a human authority act.
Decision Audit
Live runtime, available by subscription. For a client-engagement, deliverable, or advisory determination it preserves the inputs, the alternatives considered, the pinned methodology and policy version, and the approver, so the record replays deterministically under client audit, dispute, or regulator review. The professional judgment and the advice itself remains with the engagement partner and the client. It records the decision with its evidence set, the alternatives considered, the pinned policy version, the approver, and the authority class, then returns a SHA-256 evidence node and replays the record deterministically against the pinned evidence. It records and replays decisions and does not re-decide or override.
Governance Dashboard
Live runtime, available by subscription. For a professional-services firm it surfaces live enforcement state across engagement, deliverable, and advisory workflows for client audit, dispute, or regulator review readiness. It is the composition and observability layer over the governed-decision products: a live constitutional-rule enforcement panel, per-model and per-agent policy-state visibility, a preventative halt log with rationale, per-tenant rule scoping, and a read-only board or audit-committee view, white-label on request. It reads governed-runtime state and never overrides a constitutional or authority boundary.
Deliverable: a professional-decision trail: a replayable decision receipt, an obligation-to-control approval map, and a live enforcement-state view for a client-engagement, deliverable, or advisory determination. It maps against EU AI Act high-risk provisions where applicable and professional-standards and client-confidentiality obligations, SOC 2 self-certified and ISO 42001 readiness-mapped, and is produced by the governed runtime at the moment of the decision, not reconstructed under review pressure afterward.
The professional judgment and the advice itself remains with the engagement partner and the client; the runtime produces the decision trail and the enforcement view, not the professional decision itself.
Proof surface
ETHRAEON runs its own operations under constitutional governance. 300 plus production surfaces, 700 plus governance directives executed and evidenced, a hash-chained evidence store, and a substrate registry that reports live status. The infrastructure is the demonstration.
Engagement
Professional-services engagements start with a governance briefing scoped to your practice mix, client-confidentiality regime, and current AI deployment surface. The briefing produces a written architecture assessment and a deployment path proposal. From there: pilot, evidenced production integration, or sovereign private-cloud install.
Portfolio anchors
ETHRAEON is a constitutional runtime and evidence control layer. Portfolio posture: 16 filed U.S. provisional applications / 75 technical specifications / 9 families. Public claims are calibrated. AGI-class and ASI-class positioning is architectural, not an achievement claim.