AI Governance Consulting Company in Seattle

QServices provides AI governance consulting to Seattle businesses. We are not headquartered in Seattle, but we serve Washington State clients in Tech, Cloud, Aerospace, and Retail on remote engagements with roughly 3 hours of daily Pacific Time overlap. QServices is a Microsoft Solutions Partner and remote-first consultancy built around AI delivery with built-in governance.

What Seattle Buyers Typically Need from AI Governance Consulting

Seattle's economy includes companies that deploy AI at significant scale: cloud platform teams, enterprise software firms, Boeing's aerospace engineering division, and retail operations running recommendation and logistics models. Governance requirements differ by sector, but the failure modes tend to be the same.

Typical project types we see from Washington State clients:

• Cloud and enterprise tech teams needing evaluation harnesses and drift monitoring for models deployed on Azure or AWS
• Aerospace operations requiring human-in-the-loop checkpoints for safety-critical AI decisions, with full audit trails per FAA and internal safety standards
• Retail and consumer tech running recommendation or fraud detection models that need explainability documentation and bias audits
• Healthcare technology companies handling consumer health data under the Washington My Health My Data Act, which applies to health data well beyond HIPAA's scope
• Legal technology firms building AI tools subject to Washington State Bar Association guidance on AI use by attorneys

The Washington My Health My Data Act is not HIPAA. It applies to any business collecting or sharing consumer health data with Washington residents, regardless of whether you are a covered HIPAA entity. If your AI product touches health signals, that regulation applies directly to your governance design, and your policy framework needs to address it explicitly.

How We Work with Seattle Clients

Seattle runs on Pacific Time. Our engineering team is in India (IST, UTC+5:30). The timezone math: 8 AM PDT is 8:30 PM IST in summer, and 8 AM PST is 9:30 PM IST in winter. We adjust our working day so our leads and senior engineers are available from 8 AM to 11 AM PT for standups, design reviews, and demos. That is roughly 3 hours of live daily overlap, and we are honest that it requires our team to work late evenings.

Our engagement rhythm for Seattle clients:

• Weekly 45-minute standup scheduled between 8 AM and 11 AM PT
• Async daily written updates posted to Microsoft Teams or Slack before your 9 AM
• Pull requests and code reviews posted overnight so you can review during your working day
• Sprint demos every two weeks, recorded and shared with written notes for stakeholders not attending live
• On-site visits to Seattle for milestone reviews on engagements over $40,000, scheduled with advance notice

Governance work benefits from weekly review cycles because the policy framework evolves as we work through your system's edge cases. We do not hand over a completed document at week 12. You see drafts from week 2, respond to them, and the framework is approved incrementally.

We default to Microsoft Teams for client communication. Many Seattle clients work inside Microsoft 365 environments, which reduces onboarding friction on the collaboration side.

Relevant Work in Similar Markets

We do not have published case studies from Seattle-based clients. We will say that directly rather than suggesting otherwise. Our AI governance work has been done for clients in FinTech, Healthcare IT, and enterprise software, sectors that operate under compliance environments comparable to Seattle's regulated Tech and Aerospace industries.

The governance patterns are consistent across domains. HITL design for a financial compliance workflow and HITL design for an aerospace quality inspection decision solve the same core problem: a human needs to be able to review, override, and be held accountable for what the AI decided. The domain vocabulary differs; the architecture and audit requirements do not.

The three failure modes we see most often in governance engagements, regardless of industry: treating governance as a documentation exercise rather than an operational practice, designing HITL checkpoints that humans cannot realistically keep up with at volume, and deploying without drift monitoring. We address all three as part of every standard engagement.

A typical engagement delivers a policy framework document, a working HITL implementation in your stack, an evaluation harness on Azure AI Foundry, and an audit log design that survives a real compliance review. See the AI Governance Consulting pricing page for what is included at each scope tier.

What AI Governance Consulting Costs for a Typical Seattle Project

Our AI governance engagements for Seattle clients run from $15,000 to $90,000 USD, with most projects in the $25,000 to $60,000 range. All pricing is in USD.

Typical scope brackets:

• Small scope ($15,000 to $30,000): Policy framework document, HITL design review, audit log specification. 4 to 6 weeks. Suitable for a single AI application needing governance documentation for an internal or external audit.
• Medium scope ($30,000 to $60,000): Full governance framework plus working HITL implementation, evaluation harness, and drift monitoring. 8 to 12 weeks. Suitable for a production AI system that needs operational governance, not just documentation.
• Large scope ($60,000 to $90,000): Multi-system governance across several AI applications or a platform-level policy framework. Includes third-party compliance review preparation. 10 to 16 weeks.

If your scope includes Washington My Health My Data Act compliance obligations, add 15 to 25 percent for regulatory overhead. Third-party compliance review adds $5,000 to $20,000 on top of the base engagement cost.

How to Start Working with Us

Three steps:

1. Discovery call (30 minutes): Tell us about the AI system you need to govern, your compliance obligations, and your timeline. We will tell you honestly whether this engagement is a good fit.
2. Scoping document: Within 5 business days, we send a written scope with deliverables, timeline, and fixed-price cost.
3. Project start: On agreement, we schedule the kickoff standup and begin within 2 weeks.

Can You Work with Seattle Companies Remotely?

Yes. QServices is fully remote and has been since 2010. We do not have a Seattle office or a US-based legal entity. Our Seattle clients engage our India-based team under a remote delivery model with 3 hours of daily PT overlap.

For data residency: all data processing and storage runs in Azure regions you specify. If your obligations under Washington My Health My Data Act or your internal data governance policies require US-West Azure regions, we configure the engagement architecture accordingly from the start. Client data is not stored in India.

For clients who need periodic in-person contact, we can arrange on-site visits to Seattle for major milestone reviews on engagements of $40,000 or more. Travel costs are billed at cost.