AI Agent Development Company in Seattle

QServices is not based in Seattle, but we provide AI agent development for Seattle companies in tech, cloud, aerospace, and retail on remote engagements with two to three hours of daily PT morning overlap. QServices is a remote-first software consultancy serving US businesses in AI agent development. See our full AI services.

What Seattle buyers typically need from AI agent development

Seattle's concentration of cloud infrastructure companies and enterprise tech buyers creates a specific set of requirements. Most Seattle AI agent projects involve existing Azure infrastructure, and buyers expect agents that integrate with what is already running rather than a greenfield rebuild.

• Azure-native agent pipelines for tech and cloud companies already on Azure, integrating with Azure DevOps, Azure AI Search, or Azure OpenAI
• Microsoft Copilot Studio deployments connected to Teams, SharePoint, or existing enterprise workflows
• Process automation for aerospace operations, including document classification, compliance reporting, and supply chain workflow agents
• Customer service and inventory agents for retail organizations handling large order and support volumes
• Washington My Health My Data Act (HB 1155) compliance for any agent that touches consumer health data outside HIPAA scope

Washington's My Health My Data Act (HB 1155) took effect in July 2023 and applies to any company collecting consumer health data, not just HIPAA-covered entities. If your AI agent handles patient intake forms, wellness app data, fitness tracking, or any health-adjacent information, this is a Washington-specific design requirement that must be addressed before you write a line of code, not as a retrofit after launch. For the statute, see chapter 19.373 RCW at the Washington State Legislature.

How we work with Seattle clients

Our team is in IST (UTC+5:30). Seattle PT is UTC-7 in summer (PDT) and UTC-8 in winter (PST), putting us 12 to 13.5 hours ahead. Our working late afternoon, roughly 5:30pm to 8:00pm IST, maps to 6:30am to 8:30am PT in summer. We schedule daily standups or async check-ins during this window so your team starts the day with a current status rather than waiting on one.

Outside that overlap, work runs asynchronously. We use Microsoft Teams or Slack, whichever your team already uses. Every sprint includes a written mid-week status post covering what shipped, what is in progress, and what is blocked. Code reviews happen in GitHub with line-level comments. Demo recordings are shared within 24 hours of completion so your team can review on their own schedule.

We do not do routine on-site visits. For major milestones such as final UAT before go-live, we can discuss options with enough lead time. Most US engagements run end-to-end remotely. If you are a SaaS company building AI agent features on Azure, this async-first model fits most engineering teams well.

Relevant work in similar markets

We do not have a published case study from a Seattle client. Our closest published work comes from tech and financial services engagements, which align with two of Seattle's primary sectors.

For an IT services company, we built Smart PM: an AI project management agent running across Azure DevOps and Microsoft Teams. It automatically captured meeting transcripts via Fireflies.ai, created backlog items in Azure DevOps with Fibonacci story point estimates, and produced real-time sprint velocity dashboards in Power BI. The result was full elimination of manual meeting note capture and task allocation for the team.

For a wealth management platform, we built the Melegacy chatbot using Microsoft Copilot Studio. It delivered ML-powered stock predictions from Nasdaq historical data, provided investment recommendations based on user input amounts, and handled legacy sharing with nominees and charity management in a single agent interface.

Neither client is Seattle-based. If your project involves enterprise tech tooling, cloud operations, or financial services, these two projects show the type of work we do and how we run remote delivery from scoping to go-live.

What AI agent development costs for a typical Seattle project

All engagements are priced in USD. A typical AI agent project for a Seattle company falls into one of these ranges:

• Small scope ($15,000 to $40,000): Single-purpose agent, one or two integrations, basic evaluation framework. Suitable for internal tooling such as meeting summarization, document classification, or a focused customer support flow.
• Medium scope ($40,000 to $85,000): Multi-step agent pipeline, three or more system integrations, Azure AI Foundry deployment, and a production-grade evaluation framework. Covers most first-agent projects for mid-size organizations.
• Washington compliance modifier: Add 15 to 25 percent if the agent handles consumer health data under the My Health My Data Act (HB 1155), or if the engagement involves legal matter management subject to WSBA requirements.
• Post-launch retainer: $2,000 to $4,000 per month for monitoring, model updates, and ongoing evaluation cadence.

For a full cost breakdown, see our AI agent development pricing guide. Microsoft publishes Azure AI Foundry platform pricing in the Azure AI Foundry documentation, which factors into total project cost for Azure-hosted deployments.

How to start working with us

Three steps: first, a 45-minute discovery call where we discuss your use case, existing cloud stack, and any Washington compliance requirements. Second, we deliver a scoping document with a proposed architecture, timeline (typically 6 to 12 weeks for a first agent), and a fixed-price or time-and-materials estimate. Third, project kick-off with assigned engineers and the first sprint started within one week of agreement.

Use the contact form on this page to request a discovery call. We respond within one business day and schedule the call during PT morning hours to fit your workday.

Do you work with Seattle companies remotely?

Yes. All US client engagements run remotely. We do not maintain a physical office in Seattle or elsewhere in the United States.

Time zone: IST (UTC+5:30) is 12 to 13.5 hours ahead of Seattle PT. Standups and demos happen during PT early morning (6:30am to 8:30am) when our team is finishing its day. Communication runs on Microsoft Teams or Slack. Data residency: Azure deployments default to US regions, with West US 2 in Redmond, WA available as the closest option to Seattle. No client data is stored on India-based infrastructure. For projects subject to Washington's My Health My Data Act (HB 1155), data handling architecture is specified in the scoping document before any development begins.