The document-heavy operational work that runs on a cadence — financial close and account reconciliation, invoice and AP processing, intelligent document intake, and the reporting built on top of them — delivered as production systems rather than pilots that never ship. Approval gates and a complete audit trail are built in where governance requires them. The same engines run in any operations-heavy business — regulated or not, within the five verticals or beyond. Seven productized engines sit underneath; you contract for the outcome, not the tooling.
When the workflow touches PHI, MNPI, claimant records, privileged content, or student PII. Cryptographic receipts, a per-session hash-linked evidence chain, provider abstraction across Claude, GPT, and Gemini.
Explore VeilEngine →When the workflow is operational: lead enrichment, document extraction, RFP responses, content drafting, compliance monitoring, deadline tracking. Productized, composable, retainer-based.
See the engines ↓Every engine is a productized capability with a defined test suite and a customer-facing outcome. They run as standalone services and compose into composite workflows (next section).
PDF, image, or document feed in — structured JSON out. Layout-aware parsing, classification against your taxonomy, field-level extraction with confidence-thresholded human review. The intake layer behind every document-driven workflow.
Event-triggered approval chains with rule-based routing, multi-step authorization, and full audit trail. Replaces the ad-hoc email approval workflows that block operational velocity.
Pulls from multiple data sources (CRM, finance, ops, third-party APIs), synthesizes against a report template, formats for the intended audience, delivers on schedule. The engine behind weekly leadership reports, board packages, and partner summaries.
Monitors your in-scope frameworks (HIPAA, SEC, NAIC, ABA, FERPA, sector counterparts), detects amendments and new guidance, assesses impact against your operational profile, alerts the responsible officer. Replaces the "we have to remember to check the Federal Register" pattern.
Context-aware drafting (client communications, RFP responses, regulatory filings, compliance attestations) with compliance validation in the loop. Drafts pass framework rules before they reach a human reviewer, not after.
Tracks recurring and one-off deadlines across systems (license renewals, regulatory filings, contract expirations, audit cycles), escalates when thresholds approach, logs every notification. The engine behind compliance calendars that actually get followed.
Matches records across two systems (invoice to PO, claim to policy, transaction to ledger, contract to obligation), normalizes formats, flags discrepancies for operator review, reports the reconciliation outcome. The engine behind every "we need to make sure these two systems agree" workflow.
All seven engines share an instrumentation layer: configuration loading, audit logging, output formatting, notification routing, circuit breakers, dead-letter queues, rate limiting, webhook authentication, secret management. The shared foundation is what makes engines composable rather than re-built each time.
Eight composite workflows cover the operational patterns most mid-market operators run weekly. Each composite is engagement-scoped: we configure the chain to your data sources, your approval routing, your report formats.
The operator processes a continuous flow of supplier invoices against a corpus of 1,100+ active purchase orders. Manual reconciliation was the binding constraint on finance review cycle time, working-capital visibility, and the audit-trail surface for SOX-adjacent review.
When the workflow carries regulated data, buyers need an additional control layer. Two recent engagements — a regional financial-services advisory firm and a regional health system — each received a structured Data Protection Map: a document-grade artifact mapping every NPI / PHI element, its handling pathway, the controls protecting it, and the regulatory framework alignment.
Generated from the Compliance Data Mapping engine running as a regulated-buyer overlay on top of the Engine Portfolio. Each map ships as a client-ready PDF designed to the same Continental document standard as our proposal materials.
Three additional surfaces extend the Engine Portfolio for specific workflow classes.
Layout-aware parsing, PII-safe ingestion, privacy-preserving retrieval-augmented synthesis. For real estate, legal, and grant-preparation workflows where the raw document itself carries the sensitivity.
A regulatory diagnostic that maps an organization’s AI use cases against the frameworks that govern them. Outputs a structured exposure map identifying obligations, gaps, and remediation pathway.
Request your map →A public diagnostic surface measuring AI governance posture against the AIUC-1 framework. Captures consent, scores readiness, routes to the appropriate engagement surface.
Describe the operational workflow consuming the most hours of weekly manual work. We respond with a preliminary assessment outlining the engines best suited to the work, the composite workflow that fits, and the engagement model.