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 provides AI governance consulting to Washington DC organizations in government, consulting, nonprofits, and healthcare. We are India-based and remote-first, with four hours of daily ET overlap. Engagements run under FAR procurement practices and FedRAMP-aligned patterns. See our services overview.
What Washington DC buyers typically need from AI governance consulting
Washington DC organizations face an AI governance challenge that few other US markets share: federal procurement rules, cloud authorization requirements, and oversight obligations that apply before, during, and after an AI system goes live.
Common project types in this market:
- Federal agencies and contractors: Governance frameworks that satisfy OMB policy (M-24-10) and align with the NIST AI Risk Management Framework, including documentation for FedRAMP-authorized cloud deployments.
- Government contractors with federal AI programs: HITL design for AI systems that touch federal data, with audit trails built to hold up under FAR clause reviews and inspector general scrutiny.
- Healthcare organizations: AI oversight policies for systems handling patient data under HIPAA, with evaluation harnesses that detect drift before it creates liability.
- Consulting firms advising agency clients: Governance playbooks that demonstrate responsible AI practices as part of their service delivery to federal and state clients.
- Nonprofits with federal grant funding: Accountability structures for AI tools where grantors increasingly ask about oversight, bias monitoring, and auditability.
The compliance regimes most relevant to Washington DC AI work are FAR (Federal Acquisition Regulation) for procurement, FedRAMP for cloud service authorization, and the NIST AI RMF as the de facto federal AI governance standard. We build frameworks that address all three as a unified program rather than treating each as a separate workstream.
How we work with Washington DC clients
We run all Washington DC engagements remotely. Washington DC is Eastern Time, and our team operates on IST (UTC+5:30). When your team starts the workday at 9 AM ET, it is 7:30 PM IST for our engineers. We are available through 1 PM ET, which gives us four hours of live daily overlap.
That overlap covers weekly 30-minute standups, sprint reviews, and milestone demos as video calls on Microsoft Teams or Zoom. Async work goes through a shared Teams or Slack channel, with a 24-hour turnaround on written feedback. Most DC-area government contractors and consulting firms already run on Microsoft Teams, so there is typically no tooling change required on your side.
Deliverables are version-controlled in GitHub or Azure DevOps, with access scoped to your team. For milestone reviews, on-site visits to Washington DC are available. Most engagements use one on-site session at project kickoff, with structured async delivery for the remainder.
Relevant work in similar markets
We do not have published case studies from Washington DC clients. We are stating that directly rather than referencing work we have not done in this market.
The industries that define Washington DC, including federal government, healthcare, and professional consulting, overlap with sectors where we have delivered AI governance work. Those engagements involved the same core challenges: designing HITL processes that satisfy auditors without creating bottlenecks, building evaluation harnesses that run continuously in production, and producing audit trails that hold up under external review. See our AI governance consulting overview for detail on how we approach these problems.
The FedRAMP and FAR-specific requirements of Washington DC federal work are more prescriptive than the financial and healthcare regimes we have operated under. We treat that as a scoping input rather than a reason to inflate confidence. It adds 15 to 25 percent to the baseline estimate and requires additional documentation deliverables. If your organization needs a third-party compliance review alongside the governance framework, we scope that separately at $5,000 to $20,000.
What AI governance consulting costs for a typical Washington DC project
Washington DC AI governance engagements typically run between $15,000 and $90,000, depending on scope, compliance complexity, and the number of AI systems covered. All pricing is in USD.
- Small scope ($15,000 to $30,000, 4 to 6 weeks): A governance framework for one AI system, covering HITL design, policy documentation, and a basic evaluation approach. Suited to a nonprofit or small consulting firm standing up its first AI program.
- Medium scope ($30,000 to $60,000, 6 to 10 weeks): Multi-system governance with FedRAMP alignment, audit trail design, and an evaluation harness connected to a production deployment. Typical for a government contractor or mid-size healthcare organization.
- Large scope ($60,000 to $90,000, 10 to 12 weeks): Full governance program: framework design, HITL workflow implementation, evaluation harness, drift monitoring setup, and documentation packages sized for FAR compliance or inspector general review readiness.
Federal regulatory overhead (FAR, FedRAMP) adds 15 to 25 percent to baseline estimates. A third-party compliance review, if required by your procurement office, adds $5,000 to $20,000 separately. See our AI governance consulting pricing guide for a full breakdown.
How to start working with us
Three steps: a 30-minute discovery call to understand your AI program and compliance obligations; a scoping document delivered within five business days covering the work, timeline, and fixed-price estimate; and project start within two weeks of scope approval.
Use the form below to reach us. We respond within one business day, Eastern Time hours.
Can you work with Washington DC companies on AI governance remotely?
Yes. All our Washington DC engagements run remotely, with four hours of daily ET overlap from 9 AM to 1 PM ET. We use Microsoft Teams for standups and reviews, which most DC-area federal contractors already run on. Data stays within your Azure tenant; FedRAMP-authorized configurations are available if required by your cloud authorization. Nothing is processed on our infrastructure unless explicitly scoped. On-site visits to Washington DC are available for project kickoff or major milestone sessions.
Ready to discuss your project?
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Frequently Asked Questions
Do you have an office in Washington DC? +
No. QServices is India-based and fully remote. We work with Washington DC clients on Eastern Time overlap: 9 AM to 1 PM ET gives us four live hours of daily availability. We use Microsoft Teams or Zoom for calls, async channels for day-to-day work, and can arrange on-site visits to DC for project kickoff or major milestone reviews.
What is the time difference between Washington DC and your team? +
Washington DC runs on Eastern Time (ET). Our team is in India on IST (UTC+5:30). When it is 9 AM ET in DC, it is 7:30 PM IST for our team. We hold standups and live calls between 9 AM and 1 PM ET. Outside those hours, work continues async with a 24-hour written response commitment.
Have you worked with Washington DC or federal government clients before? +
We do not have published case studies from Washington DC specifically. We have delivered AI governance work in regulated industries including financial services and healthcare, with similar compliance demands: audit trails, HITL workflows, and evaluation harnesses. FedRAMP and FAR-specific requirements are more prescriptive, and we factor that into project scoping rather than treat it as routine.
How do you handle FedRAMP and FAR compliance requirements for Washington DC clients? +
We treat FedRAMP and FAR as scoping inputs. FedRAMP-aligned work requires audit logging, access controls, and documentation meeting cloud authorization standards. FAR procurement rules affect how deliverables are structured and reviewed. We add 15 to 25 percent to baseline estimates for federal regulatory overhead and can include documentation packages sized for IG review or contract compliance.
What industries do you serve in the Washington DC market? +
In Washington DC, we work with government agencies and their contractors, consulting firms, healthcare organizations, and nonprofits. All four face compliance obligations, including FAR, FedRAMP, HIPAA, and federal grant accountability frameworks, that make informal AI governance a real operational risk rather than a theoretical one.