AI Governance Consulting Company in Seattle

QServices is not headquartered in Seattle, but we work with Seattle clients across Tech, Cloud, Aerospace, and Retail on remote engagements with daily PT hours overlap. We are a remote-first software consultancy based in India, serving Seattle and Washington State companies on AI governance consulting, HITL design, and compliance frameworks for production AI systems.

What Seattle buyers typically need from AI governance consulting

Seattle's Tech and Cloud sector is dense with teams shipping or integrating AI, many facing internal audit pressure or compliance obligations before any governance framework exists. Washington's MyHealth MyData Act adds specific obligations for companies handling consumer health data, and those extend to AI-assisted processing. Common project types we see:

• HITL design for cloud and SaaS platforms: Building review workflows that keep humans in the decision loop without creating bottlenecks that slow your product team.
• Evaluation harnesses for production AI: Setting up ongoing checks against validated baselines so you know when model behavior drifts after launch.
• Audit trail architecture: Structuring logging so AI system decisions can be reconstructed and reviewed by a compliance officer or external auditor.
• Compliance alignment under Washington MyHealth MyData Act: Documenting AI data handling, consent flows, and retention policies for companies covered by the Act.
• AI policy frameworks for Aerospace and Retail: Written governance documents for AI-assisted decisions in supply chain, demand forecasting, or quality control, for board reporting or supplier audits.

Seattle companies also ask about SOC 2 Type II coverage for AI components. Standard security controls typically do not cover model governance. That gap requires its own layer.

How we work with Seattle clients

Our team operates on IST, which is 12.5 to 13.5 hours ahead of Pacific Time depending on daylight saving. The practical overlap is roughly 9 AM to 2:30 PM PT, covering Seattle's morning block. We schedule standups and working sessions within that window.

Our standard engagement pattern for Seattle clients:

• Weekly standups via Teams or Slack: 30 minutes, your agenda, recorded for async review if needed.
• Daily async updates: You see progress each day in Slack or Teams, not just on call days.
• Milestone demos via Zoom or Teams: You review working artifacts at each phase gate before we move forward.
• On-site visits available for major reviews: We can send a team member to Seattle for critical milestone reviews, priced separately. Most clients do not require this.

We do not have a Seattle office. If in-person presence is a hard requirement for your procurement process, we will tell you that upfront rather than waste your time.

Relevant work in similar markets

We do not have published case studies from Seattle clients at this time. Our AI governance and HITL work has been in FinTech, Healthcare, and regulated enterprise software, where audit trails and compliance documentation are requirements, not optional.

The closest work we can reference honestly:

• HITL governance for financial automation: Designing review checkpoints for AI-assisted decisioning in lending and compliance workflows, with escalation paths and decision logging built for external audit.
• Azure AI Foundry evaluation pipelines: Building continuous evaluation against defined baselines, with alerting when output behavior shifts outside the validated range.
• Audit trail architecture for regulated AI: Structuring logging so AI decisions can be reconstructed and handed to a compliance officer or third-party auditor without custom extraction work.

Seattle's Tech and Cloud companies face the same structural problem: AI features ship fast, then face audit or compliance review with no documentation trail. As a Microsoft Solutions Partner, we have direct Azure AI Foundry experience that maps to the cloud-native stack most Seattle companies already run. For Washington State's consumer health data obligations, the Washington MyHealth MyData Act (RCW 19.373) is the primary reference.

What AI governance consulting costs for a typical Seattle project

Engagements are priced in USD. Typical ranges based on scope:

• Small scope ($15,000–$40,000): Policy framework review, HITL design for one workflow, basic evaluation setup. Typical timeline: 4–8 weeks.
• Medium scope ($40,000–$90,000): Full governance framework, multi-workflow HITL design, Azure AI Foundry evaluation pipeline, audit trail architecture. Typical timeline: 8–12 weeks.
• Regulatory add-ons: AI evaluation harness (+$5,000–$15,000), third-party compliance review (+$5,000–$20,000), Washington MyHealth MyData Act health data scope (+15–25% on applicable work).

Full pricing details are on our AI governance consulting pricing page. We are not the cheapest option. The work requires senior people who understand both AI systems and compliance requirements.

How to start working with us

Three steps to get started:

1. Discovery call (30 minutes): You describe the AI system and your governance concern. We tell you honestly whether we are the right fit.
2. Scoping document: We send a written scope covering deliverables, timeline, and pricing within 5 business days.
3. Project start: Once the scope is signed, we begin. No lengthy onboarding overhead.

Use the form below to request a discovery call. We respond within one business day PT.

Can you work with Seattle companies remotely?

Yes. We work with Seattle clients entirely remotely, with PT morning overlap. We use Teams and Slack for day-to-day communication and Zoom for milestone reviews. For US clients, we build on Azure US regions by default, so client data does not route through our India infrastructure. For companies subject to Washington's MyHealth MyData Act, we factor data residency and retention requirements into the governance framework from the start. We do not have a Seattle office, and we are direct about that from the first call.