QServices is a remote-first software consultancy not headquartered in Seattle, but we work with Seattle clients across tech, cloud, aerospace, and retail on Microsoft Copilot Studio engagements with Pacific Time morning hours of daily overlap. QServices builds custom copilots that connect to your real systems, from Dataverse to Azure OpenAI to Microsoft 365.
Seattle's concentration of tech, cloud, SaaS, aerospace, and retail companies creates specific demand for internal and customer-facing copilots. The projects we most often scope for companies in this market:
None of these require an on-site vendor. They require a team that understands your systems, your data, and what Microsoft's Power Platform can and cannot do out of the box.
India Standard Time runs 12.5 to 13.5 hours ahead of Pacific Time depending on daylight saving. That gap is real and we do not pretend otherwise. What we do instead is structure every engagement around it.
Our team maintains a PT morning overlap window: we schedule standups, demos, and milestone reviews for 9 to 11 AM PT, which falls at the end of our working day (10:30 PM to 12:30 AM IST). Outside that window, we use Teams and Slack for async updates. Every sprint ends with a recorded walkthrough you can review at any time.
Weekly standups. Biweekly milestone demos. A shared backlog in Azure DevOps that you can check at any hour. Code reviews happen in pull requests with written comments, not verbal-only calls. For engagements over $30,000, we offer one on-site visit at a milestone of your choosing, with travel covered separately.
We default to Teams as our communication tool because most Seattle clients are already in the Microsoft 365 environment where we are deploying the copilot anyway.
We have not shipped a project for a Seattle-headquartered client yet, and we will not manufacture one. What we have done is relevant by industry:
Retail and e-commerce: We built a Copilot Studio chatbot for an Italian retailer that connected to Shopify APIs and Power Automate to handle real-time order status and inventory queries. It eliminated manual handling for routine customer inquiries. Seattle's retail sector, including companies with large online operations, faces the same problem at scale.
Italian e-commerce retailer
Significantly reduced manual customer query handling with automated real-time order status and inventory responses
Improved customer satisfaction by eliminating response delays that previously required manual intervention for every inquiry
Financial services and FinTech: For Melegacy, an investment and legacy management platform, we built a Copilot Studio chatbot that pulls stock predictions from Nasdaq historical data via ML models and handles nominee and charity management in one interface. Tech-adjacent financial services companies in Seattle's market have comparable data complexity.
Investment management and legacy planning platform
ML-powered stock predictions from Nasdaq historical data with investment recommendations based on user amount
Legacy sharing with nominees and charity management in a single Copilot Studio chatbot
If your industry is aerospace or cloud infrastructure specifically, we have not shipped a copilot in those exact verticals. We would structure a 4-week proof of concept as the first milestone before committing to a full build. You can also review our work on retail Copilot Studio projects for a closer look at how we scope and deliver.
Our engagements for this service run from $12,000 to $60,000 USD. The range depends on scope, the number of system integrations, and any compliance overhead.
If your project touches consumer health data under Washington's My Health MY Data Act, budget an additional 15 to 25 percent for compliance review and data residency configuration. All pricing is in USD. See our full pricing breakdown for Microsoft Copilot Studio projects for a complete breakdown by scope and integration count.
Our engagement process has three steps. First, a 45-minute discovery call where we ask about your systems, your users, and what you want the copilot to handle versus escalate to a human. Second, a written scoping document with effort estimates, integration risks, and a milestone plan. Third, project start once both sides agree on scope and budget.
Most scoping documents are delivered within five business days of the discovery call. Use the form on this page to book the first call.
Yes. We are remote-first and have worked with US-based clients on remote Microsoft Copilot Studio engagements. We do not have a Seattle office. Our team overlaps with PT morning hours (9 to 11 AM PT) for client-facing calls. All code, documentation, and sprint artifacts are shared via Teams and Azure DevOps throughout the project, not just at delivery.
For data residency: Microsoft Copilot Studio can be configured to store and process data in Azure US regions. We specify this in the scoping document for any client handling regulated data under the Washington My Health MY Data Act or legal workflows with WSBA requirements. The Microsoft Copilot Studio data location documentation lists all supported regions. We do not provide legal advice; we recommend engaging WSBA-registered counsel for formal compliance review.
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