By Sahil Kataria, Chief Executive Officer, QServices
Updated June 13, 2026
Sahil Kataria is the CEO of QServices, a Microsoft Solutions Partner delivering AI agents and custom software for regulated industries. He leads enterprise AI strategy and FinTech delivery. LinkedIn ↗
Written from QServices' hands-on delivery work and reviewed by Rohit Dabra, Chief Technology Officer, QServices, before publishing.
QServices is a remote-first software consultancy providing AI governance consulting to businesses in Boston, Massachusetts. We are not headquartered in Boston, but we work with Massachusetts clients across healthcare, biotech, FinTech, and higher education on remote engagements with full ET hours of daily overlap.
What Boston buyers typically need from AI governance consulting
Boston's regulated industries create specific AI governance requirements that generic frameworks rarely address. Based on this market's primary industries, the most common project types are:
- Healthcare and biotech HIPAA compliance: AI systems that touch protected health information need audit trails, access controls, and human-in-the-loop checkpoints that hold up under HIPAA's technical safeguard requirements. Boston has one of the densest concentrations of hospitals and biotech firms in the US, making this the most common entry point for AI governance work in this market.
- 201 CMR 17 data security alignment: Massachusetts' personal information security regulations (201 CMR 17.00) apply to any business holding personal information on Massachusetts residents. AI systems that process or store personal data need governance controls that align with these state-level requirements, separate from any federal obligations.
- FinTech model risk management: Financial firms building AI-driven credit, fraud, or underwriting models need evaluation harnesses and documented human review processes that satisfy internal risk committees and external examiners.
- Higher education AI policy frameworks: Universities deploying AI in admissions, research tools, or student services face both internal governance needs and evolving federal guidance on algorithmic accountability and data use.
Across all four of these, the consistent need is governance that operates in practice, not just on paper. Documented review processes that staff actually follow, drift monitoring that alerts before problems become incidents, and audit trails that hold up when a regulator or internal auditor asks to see them.
How we work with Boston clients
Our team is based in India and operates on full Eastern Time hours. When you send a message at 9am ET, you are not waiting until the next day for a reply. This is a deliberate choice on our end, we staff projects to overlap fully with the client's working day, not to hand work off overnight.
A typical engagement runs like this: weekly video calls on Teams or Zoom, async updates via Slack or Teams between calls, and a shared project tracker so you have visibility at any point without needing to ask. Governance framework documentation is reviewed in shared workspaces with written comments; milestone demos are recorded and shared when live sessions are not practical.
For engagements of eight weeks or longer, we offer a milestone review session that can include your compliance team, legal counsel, or an internal audit representative, to walk through the governance framework before it goes into production. We do not have a Boston office. On-site visits are possible but would be scoped and priced separately for each engagement.
Relevant work in similar markets
We do not have a published case study from a Boston client to reference here. We will not fabricate one.
The closest work we can honestly point to comes from regulated financial services and healthcare-adjacent projects, where HITL governance design and audit trail architecture were central requirements. The challenge in those engagements was the same one Boston's healthcare and FinTech buyers face: building AI governance for regulated industries that satisfies compliance review without creating bottlenecks for the people responsible for human-in-the-loop decisions. Governance as a practical operating discipline, not a documentation exercise.
If a reference from a comparable regulated-industry engagement matters to your evaluation, we can arrange an introduction as part of the scoping conversation.
What AI governance consulting costs for a typical Boston project
AI governance consulting at QServices ranges from $15,000 to $90,000 depending on scope. All engagements are priced in USD. Typical scope brackets:
- Framework only ($15,000–$30,000, 4–6 weeks): Policy framework design, HITL workflow review, and governance documentation for an existing AI system. Suitable for teams that have engineers and need the governance layer built around what they already have.
- Framework plus evaluation harness ($35,000–$60,000, 6–10 weeks): Adds Azure AI Foundry evaluation setup, drift monitoring, and audit logging patterns. Appropriate when you need ongoing measurement, not just a one-time review.
- Full implementation ($60,000–$90,000, 10–12 weeks): End-to-end build covering framework, evaluation harness, HITL workflow integration, and a compliance handoff package. For regulated industries with formal audit requirements subject to HIPAA or 201 CMR 17.
For Boston clients in healthcare or FinTech with HIPAA or 201 CMR 17 scope, budget an additional 15–25% for the compliance overhead those regimes require. See our full pricing breakdown for a detailed scope-to-cost reference. Third-party compliance review, if needed, adds $5,000–$20,000 on top of the base engagement.
How to start working with us
Three steps: book a 30-minute discovery call to discuss your AI system, your compliance obligations, and the governance gaps you are trying to close. We follow up with a scoping document that defines deliverables, timeline, and cost with no obligation. If the scope fits, we start with a fixed-fee kickoff sprint. Use the contact form below to get started.
Can you work with Boston companies remotely?
Yes. We work with Boston clients entirely remotely. Our team operates on full ET hours, so the working cadence is similar to hiring a US-based remote consultant. We use Teams, Zoom, and Slack depending on your setup. For HIPAA-scoped engagements, we sign a BAA and discuss data handling protocols before any protected health information is involved. For engagements touching data subject to 201 CMR 17, we document our data security practices as part of onboarding. We do not have a Boston office, and we say that plainly from the first conversation.
Ready to discuss your project?
Share your requirements with QServices. Our engineers will give you a straight answer on fit, timeline, and cost — no sales scripts.
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Frequently Asked Questions
Do you have an office in Boston? +
No. We are a remote-first consultancy based in India. We do not have a Boston office. We operate on full Eastern Time hours, which means your team gets a normal business-day working relationship without overnight handoffs. On-site visits for milestone reviews are possible but scoped separately.
What is the time difference between Boston and your team in India? +
India Standard Time is approximately 9.5 to 10.5 hours ahead of Eastern Time, depending on daylight saving. In practice this does not affect the engagement because our team works full ET business hours. There is no meaningful delay in responses during the Boston workday.
Have you worked with companies in Boston before? +
We do not have a published Boston case study to reference. Our comparable delivery comes from regulated financial services and healthcare-adjacent projects where HITL governance and audit trail design were the core requirements. We can arrange a reference introduction during the scoping process.
How do you handle HIPAA and 201 CMR 17 requirements for Massachusetts clients? +
For HIPAA-scoped engagements, we sign a Business Associate Agreement before any protected health information is involved and document technical safeguard controls as part of the governance framework. For 201 CMR 17 scope, we document our data security practices during onboarding and ensure the governance framework accounts for Massachusetts' personal information protection requirements.
What industries do you serve in the Boston market? +
Our AI governance work is most directly applicable to Boston's healthcare and biotech sector (HIPAA compliance, HITL design for clinical AI), its FinTech firms (model risk management, audit trails), and higher education institutions building AI into student-facing or research systems. These are the industries where governance requirements are most specific and where getting it wrong has real regulatory consequences.