AI Advisory for Financial Services

Your compliance officer just forwarded another article about generative AI. Your best advisor is quietly pasting client notes into a free chatbot. A vendor is offering an "AI-powered" add-on to your portfolio system, and nobody in the firm is sure whether saying yes creates a GLBA problem, an SEC exam finding, or a genuine productivity win. This is the moment where thoughtful AI advisory for financial services stops being a nice-to-have and starts being the difference between measured adoption and quiet, unmanaged risk sitting inside your firm right now.

We work with financial firms across the Pittsburgh metro — from Downtown and the Strip District out to Cranberry, Wexford, Mt. Lebanon, Robinson, Monroeville, and Washington County — that want to use AI the way a fiduciary would: deliberately, with documentation, and with a clear line between what the tool does and what a licensed human signs off on.

The real question isn't whether to adopt AI — it's where it belongs on your balance sheet

Most guidance aimed at financial professionals treats AI as a career skill or a market trend. That's fine reading, but it doesn't tell a 40-person RIA in Green Tree what to actually deploy on Monday. The operational questions are narrower and harder: Which client-facing workflows can tolerate a language model in the loop? Where does data leave your tenant? How do you evidence supervision when the drafter is a machine? What do you tell examiners when they ask — because they will ask — how you evaluated the tool before rolling it out?

Every AI decision in a regulated firm is really two decisions: what the technology can do, and what you can defend on paper twelve months later.

Our advisory practice starts from that second half. We assume you already know AI is useful. Our job is to help you adopt it in a way that survives a GLBA safeguards review, an SEC Marketing Rule question, a FINRA books-and-records request, or a PA Department of Banking exam without you rewriting your policies at 11 PM the night before.

Who this AI advisory for financial services is built for

The engagement fits best for small and mid-market firms in the Pittsburgh region that are past the curiosity stage and into the "we need a plan" stage:

• Registered investment advisors and wealth managers, typically 10–150 staff
• Community banks and credit unions with branches across Allegheny, Butler, Washington, and Westmoreland counties
• CPA and tax firms handling high volumes of client documents and correspondence
• Insurance brokerages and TPAs with PII- and PHI-adjacent workflows
• Family offices and private funds where confidentiality is the entire product

If you're a solo advisor looking for a chatbot subscription, we're probably not the right fit. If you're a firm that needs someone to sit at the table with your compliance lead, your operations manager, and your custodian's tech contact — and translate between them — that's where we're useful.

What a Pittsburgh-grounded engagement actually includes

A typical AI advisory engagement moves through four phases, sized to the firm:

Assessment. We inventory where AI is already being used (formally and shadow-IT), map the data flows, and score each use case against your regulatory posture, your custodian's terms, and your cyber insurance requirements.

Governance. We draft or update the acceptable-use policy, the vendor due-diligence template, the model-risk documentation, and the supervisory review procedure. If you're subject to the NY DFS Part 500 amendments or preparing for SEC Reg S-P changes, we build to those.

Tooling and tenant hygiene. Most firms already own more AI capability than they realize inside Microsoft 365 or Google Workspace. We configure Copilot, sensitivity labels, DLP, and Purview so that "AI on" doesn't mean "client data everywhere." Where a specialized vendor is warranted — meeting transcription, document extraction, KYC assist — we run the diligence.

Pilots and enablement. We pick two or three workflows worth automating (meeting notes to CRM, RFP drafting, IPS generation, client-review prep, AML narrative drafting) and run scoped pilots with measurable outputs. Then we train the humans.

TL;DR: Good AI advisory for financial services isn't a slide deck — it's governance, tenant configuration, and a handful of well-chosen pilots you can actually defend to an examiner.

Ongoing oversight continues after the initial engagement, because model behavior, vendor terms, and regulatory guidance all change on their own schedule.

Why firms in the 412 and 724 work with PGH Networks

There is no shortage of national consultancies willing to sell a financial services firm an AI strategy. What they generally don't do is show up in Southpointe on a Tuesday to sit with your operations lead, or answer a Saturday call when a phishing email with an AI-generated voice clone lands in your CFO's inbox.

We're a Pittsburgh MSP first. That means the AI advisory work sits on top of the same managed IT team that already understands how financial firms run day-to-day: identity and access, endpoint security, backup, SOC monitoring, Microsoft 365 hardening, and incident response. When we recommend an AI workflow, we're the ones who will implement it, secure it, and support it — not hand you a PDF and walk away.

We're fluent in the compliance vocabulary your regulators use: GLBA Safeguards, SEC Marketing Rule and Reg S-P, FINRA 3110 supervision, FFIEC guidance for the banks and credit unions, and where relevant, HIPAA and PCI. And because we live inside the 75-mile radius around 15220, our response times aren't theoretical.

A conversation, not a sales pitch

If you're weighing where AI fits in your firm and want to talk it through with someone who understands both the tech and the exam manual, reach out for a short discovery call or call 724.888.7007 — we'll tell you honestly whether an engagement makes sense, and you can also use our contact form to start the conversation.