AI Governance Consulting Company in New York

QServices provides AI governance consulting to New York clients in FinTech, Insurance, Media, and Real Estate. We are not based in New York. We are a remote-first software consultancy in India, serving New York businesses with full ET business-day coverage and a Microsoft Solutions Partner for AI projects.

What New York buyers typically need from AI governance consulting

New York's regulated industries carry specific AI governance obligations. Buyers we speak with most often need:

• NY DFS Part 500 compliance: Financial services firms and insurers under the New York Department of Financial Services need AI systems that meet third-party risk and cybersecurity documentation requirements under 23 NYCRR 500, updated in 2023 to address AI explicitly.
• SEC and FINRA audit readiness: Asset managers, broker-dealers, and FinTech platforms need audit trails and model risk management practices that hold up under SEC examination and FINRA supervision rules.
• SHIELD Act data handling: Companies processing New York resident data must document AI data use under the Stop Hacks and Improve Electronic Data Security Act.
• HITL for high-stakes decisions: Insurance underwriting, credit scoring, and media content review require Human-in-the-Loop controls that regulators can inspect and that business teams can run without creating bottlenecks.
• Drift monitoring after launch: New York financial regulators increasingly expect evidence of ongoing model monitoring, not just point-in-time validation at deployment.

The NY DFS cybersecurity regulation is a useful reference for any firm asking what documentation an AI governance framework must produce. See the NY DFS Cybersecurity Guidance for current requirements.

How we work with New York clients

Our team is in India (IST). We structure our working hours to cover the New York business day, giving us 9 or more hours of daily ET overlap from our morning through your afternoon. That window covers standups, design reviews, and same-day feedback cycles.

A typical engagement looks like this:

• Weekly sync: 30-minute video call on Teams or Slack, scheduled at your preferred ET time
• Async updates: Daily written progress notes posted before your New York workday starts
• Sprint demos: Bi-weekly sessions with your stakeholders, recorded for compliance review when needed
• Code and architecture reviews: Pull requests reviewed within the same business day during overlap hours
• On-site visits: Available for milestone reviews at client cost; we have traveled for regulated-industry engagements when required

We do not require proprietary portals. All work happens in your existing Microsoft 365 or Slack environment. View our full services overview for how engagements are structured.

Relevant work in similar markets

We do not have a published case study from a New York client on AI governance. We will say that directly rather than reframe unrelated work as local experience.

Our closest relevant work is in regulated financial services and insurance, the same industries that drive most AI governance demand in New York:

• We have designed Human-in-the-Loop workflows for AI-assisted underwriting, where a reviewer must approve or reject recommendations before any decision takes effect.
• We have built audit logging patterns for AI agents operating in financial data environments, meeting the documentation requirements typical of internal audit and compliance review cycles.
• We have built Azure AI Foundry evaluation suites that flag model drift before it surfaces in production, a requirement New York financial regulators are increasingly formalizing.

For more on our governed AI agent work, see our AI agent development practice. If you want to see architecture samples or evaluation suite documentation from a comparable engagement, we can share those materials under NDA during the discovery call.

What AI governance consulting costs for a typical New York project

Engagements run between $15,000 and $90,000 depending on scope. All pricing is in USD.

• Small scope ($15,000-$30,000, 4-8 weeks): Policy framework review, HITL design for one workflow, basic evaluation suite. Suitable for a single AI use case that needs a compliance baseline.
• Medium scope ($30,000-$60,000, 8-12 weeks): Multi-workflow HITL design, audit logging build-out, Azure AI Foundry evaluation suite, compliance documentation package ready for internal review.
• Full program ($60,000-$90,000, 10-12 weeks): Org-wide framework, multiple use case coverage, drift monitoring implementation, and documentation support for third-party compliance review.

For New York financial services firms, add 15-25% for NY DFS Part 500 or SEC/FINRA scope. Third-party compliance review adds $5,000-$20,000 on top of the base engagement. See full AI governance consulting pricing.

How to start working with us

Three steps to get a project moving:

1. Discovery call (30 min): We map your AI use cases, compliance requirements, and timeline. No sales script. We ask about your actual governance gaps.
2. Scoping document: We send a written scope within 5 business days covering approach, timeline, deliverables, and pricing.
3. Project start: Once scope is signed, we kick off within two weeks. The first sprint delivers a governance framework draft and HITL design proposal.

Can you work with New York companies remotely on AI governance?

Yes. We work with New York companies entirely remotely. Our team in India maintains 9 or more hours of daily ET overlap, covering the full New York business day for real-time collaboration. We use Microsoft Teams or Slack based on your preference.

For data residency, we work within your Azure tenant. Data does not leave your environment. NY DFS Part 500, SHIELD Act, and SEC record-keeping requirements are met through your own systems, documented in formats your compliance team controls and can audit. On-site visits in New York are possible for milestone reviews when your engagement requires them.