For Immediate Release

MatrixLabX Launches PrescientIQ™ for Financial Services, Governed Agentic AI Built for Mid-Market Banks, Lenders, and Asset Managers

Human-in-the-loop AI agents and an immutable audit ledger give mid-market financial institutions agentic AI without building an enterprise-scale AI team first.

BURLINGTON, VT AND BOULDER, CO — September 15, 2026 — MatrixLabX today launched PrescientIQ™ for Financial Services, a governed multi-agent AI platform that lets mid-market financial institutions run credit, risk, research, and KYC/KYB workflows with AI agents that stop at a human-in-the-loop approval gate before any consequential action and record every step in an immutable audit ledger.

Agents prepare and recommend. A designated human approves. Institutions decide, workflow by workflow, how far each agent is permitted to operate.

As financial institutions move from basic automation toward agentic workflow orchestration, PrescientIQ is designed to close the gap between raw model capability and the governance a regulated institution actually needs — proving who approved what, which data an agent used, and why an output can be trusted by an examiner, auditor, or credit committee.

Why mid-market institutions are being left behind on agentic AI

Agentic AI in financial services has so far centered on global institutions with dedicated AI platform, model-risk, and integration teams. Mid-market banks, lenders, and asset managers face the same regulatory scrutiny as those peers and rarely have any of those teams. For these firms, the barrier is not model access. It is governance.

Financial workflows PrescientIQ agents support

  • Commercial Credit and Lending — agents aggregate borrower research from financial statements, filings, and internal data into draft credit memos, then route them to an underwriter for approval before anything moves forward.
  • KYC, KYB, and Beneficial Ownership — agents gather and cross-reference corporate filings and disclosures to draft beneficial ownership and entity hierarchy maps, flagging gaps and conflicts for a compliance analyst's review.
  • Portfolio and Risk Monitoring — agents analyze portfolio exposure and surface concentration and valuation anomalies for risk officers, with every observation linked to its source data.
  • Capital Markets and Advisory Research — agents compile market, company, and comparable-transaction research into draft pitch materials and investment memos for banker and analyst review.

In every workflow, PrescientIQ agents prepare and recommend; a designated human approves. Firms decide, workflow by workflow, how far up the autonomy ladder each agent is permitted to operate.

Governance built for examiners, auditors, and credit committees

Hallucination risk, data privacy, and explainability are the leading objections to AI in regulated finance. PrescientIQ addresses them through architecture: a fail-closed human-in-the-loop gate that halts a workflow when required approval, data, or confidence is missing, and an immutable audit ledger recording every agent action, its rationale, and the approving human.

100%Architectural
Externally visible actions requiring named human approval before execution

PrescientIQ is hosted and operated by MatrixLabX on Google Cloud, which maintains SOC 2, ISO 27001, and PCI DSS-attested infrastructure. Per-agent least-privilege identities, prompt-injection defense on every inbound surface, and an immutable audit ledger record every action, its rationale, and the approving human.

“When you’re building a pulse oximeter, you can’t treat regulatory compliance like a backlog item. I constantly had to remind our product managers that adhering to FDA regulations and Good Manufacturing Practices wasn’t an option or a suggestion — it was the only path to market. You don’t get to ‘move fast and break things’ when patient oxygen levels are on the line. That same discipline is why PrescientIQ agents stop and wait for a named approver instead of guessing.”
— George Schildge, Founder & Chief AI Officer, MatrixLabX

Pricing

PrescientIQ is priced as Labor-as-a-Service — for the work agents perform, not per user seat. Scope and commercial terms for a financial-services deployment are set during a readiness audit, before anything is signed. The published platform fee:

PrescientIQ Revenue Accelerator commercial structure: the annual platform fee.
ComponentInvestmentBilling frequency
Annual platform feeEnvironment provisioning on Google Cloud, per-agent IAM, audit-ledger setup, and context ingestion from your CRM — plus four cooperating agents (Prospecting, Outbound, Trial Conversion, Expansion), the Coordinator, the HITL approval queue, and the immutable audit ledger, and the monthly execution volume a typical mid-market deployment runs. One fee, from signature, every year.Target — modeled: live in 21 days or less$165,000/year is the complete platform fee. There is no separate implementation charge and no different first-year number — deployment work is included from signature, not billed as a distinct line. Scope beyond a typical deployment — additional bundles, sustained higher volume — is quoted at your AAR before anything is signed.$165,000/yrBilled monthly at $13,750/mo against an annual commitment

Availability

PrescientIQ for Financial Services is available now to mid-market financial institutions running Salesforce or HubSpot. Institutions can begin with a free Agentic Readiness Audit, which returns a written assessment across six dimensions — governance, non-human identity, shadow AI, data readiness, workflow suitability, and evidence — within 48 hours of the intake session.

Get the free readiness audit →

Frequently asked questions

What is PrescientIQ for Financial Services?

A governed multi-agent AI platform from MatrixLabX for mid-market banks, lenders, and asset managers. Agents prepare credit, KYC/KYB, risk, and research work; a designated human approves every consequential action; and every step is recorded to an immutable audit ledger.

Does an agent make credit or investment decisions?

No. Agents assemble research, draft memos and ownership maps, and surface observations linked to their source data. Underwriters, compliance analysts, risk officers, and bankers make the decisions.

Who is this built for?

Community and regional banks, specialty and commercial lenders, and independent asset and wealth managers — institutions that face the same regulatory scrutiny as large financial firms without the internal AI platform and model-risk teams to build governance around AI themselves.

How is it priced?

On a Labor-as-a-Service basis — the work agents perform, not per user seat. Scope and terms for a financial-services deployment are set during a readiness audit, before any commitment.

How can a financial institution get started?

With the free Agentic Readiness Audit, which returns a written assessment within 48 hours of the intake session, including which workflows are ready now and which need remediation first.

About MatrixLabX

MatrixLabX builds governed autonomous digital labor for mid-market enterprises. Its platform, PrescientIQ™, deploys pre-trained, vertical-specific AI agents that execute revenue and operations workflows continuously — under human approval, with every action recorded to an immutable audit ledger. MatrixLabX is headquartered in Colchester, Vermont, with a regional office in Boulder, Colorado. PrescientIQ is a trademark of MatrixLabX. Learn more at matrixlabx.com.

Media contact: MatrixLabX Communications Team, press@matrixlabx.com | 802-435-1414

Related: AI agents for financial services · AI Trust & Governance · PrescientIQ™ platform

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