AI-as-a-Service is a six-to-twelve-month bundled engagement covering AI strategy, AI governance under SR 26-2, multi-rulebook compliance, and Frontier Foundry platform deployment under a single statement of work, led personally by Sultan Meghji.
Most AI programs in regulated firms are built sprint by sprint. A strategy engagement, then a governance build, then a compliance program, then a platform deployment — each scoped separately, each delivered by a different team or vendor, each producing its own artifacts. The result is four binders that do not fit on the same shelf and a regulatory narrative that takes three meetings to assemble in a room.
AI-as-a-Service is the alternative. One engagement, six to twelve months, that delivers the full operating program — strategy, governance, compliance, and deployed platform — under a single statement of work and a single accountable engagement lead.
The engagement profile is closest to the published bank case study: a top-20 U.S. national bank that converted twelve months of strategy work, an agentic regulatory-documentation factory, the Phase-1 multi-rulebook compliance program, and the production deployment of the Frontier Foundry AutoCEN platform into a single examination-readable AI operating discipline. Same shape; different sectors and different platforms depending on the client.
What the engagement covers
Phase 0 — Strategy. Office-of-the-CEO assessment, Virtova AI Rubric scoring across the candidate use-case backlog, Hybridization Strategy applied to the firm’s data and regulatory surface. The output is a triaged use-case portfolio — typically five or fewer use cases worth real investment over the next twelve months — and an AI operating model the board can absorb.
Phase 1 — Governance. Charter, accountability, model inventory, board cadence, multi-rulebook compliance coverage. The artifact set runs from the SR 26-2 / SR 11-7 / SR 21-8 stack and the FFIEC IT Handbook through BSA/AML, OFAC, NY DFS Part 500, the Colorado AI Act, the EU AI Act, NIST AI RMF, ISO/IEC 42001, ISO 27001, and SOC 2 Type II — the surface depends on the firm. Deliverable artifacts include the MRM Vendor Response Template, the MRM Agentic Orchestrator, and the MRM QC Validator — the same agentic regulatory-documentation factory deployed in the bank case study.
Phase 2 — Platform deployment. Production deployment of one or more Frontier Foundry AI products, tuned to the firm’s data and regulatory surface:
- AutoCEN — AI-native financial-crime intelligence platform for BSA/AML, OFAC sanctions, and fraud, with deterministic auditability and direct FinCEN submission. Reference deployment narrated in the bank case study.
- Limni — specialized inference for federal law enforcement and adjacent national-security workloads, deployed under the same secured-AI architecture as the rest of the Frontier Foundry line.
- Kundi — regulated-industry knowledge systems for institutional retrieval, summarization, and document workflows under deterministic-auditability constraints.
- CyberAudit — adversarially-validated LLM code-security audit pipeline, retrieval-grounded against ~290k CVEs, with a CSO-voice PDF report.
- Monui — regulatory call-report system for de novo trust banks: FFIEC 041 / 051 in XBRL / SDF / iXBRL from live Workday and core banking data.
Phase 2b — Governed pilot portfolio. A slate of targeted AI pilots scored against the AI Rubric and governed under the Phase 1 framework. Each pilot has a measurable value-capture target and a defensible answer to its regulatory exposure before it ships.
Ongoing — Operating discipline. Quarterly governance recalibration, examiner-readiness reviews, and performance monitoring tied to the Phase 1 artifacts so the program stays current as the regulatory surface moves.
What the engagement is not
It is not an off-the-shelf AI product. It is not a productized consulting menu where the client picks templates from a catalog and a junior implementation team executes. The engagement is led personally by Sultan Meghji and runs against the same boutique-advisory standard as every other Virtova engagement; the difference is the scope and the bundled platform deployment.
It is also not for firms outside the regulated-industries surface. If the firm is not under a sectoral rulebook (BSA/AML, SR 26-2, NIST AI RMF, EU AI Act, NY DFS Part 500, FDA, FedRAMP, or equivalent), AI-as-a-Service is more program than the firm needs — one of the four standalone practice areas is a better fit.
Engagement profile
Six to twelve months. Single statement of work. Single accountable engagement lead.
Pricing is sized after a discovery call and a written scope; the engagement runs longer than a standard advisory sprint and is billed against a defined deliverable program rather than per hour. Frontier Foundry platform deployment is a separate license and deployment line item, disclosed in writing alongside the engagement scope.
Both Virtova and Frontier Foundry share ownership, and the relationship is disclosed on every contract and at the start of every conversation.
If the engagement profile is the right shape for the firm, the discovery call is the entry point.