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Specialized M365 AI Services. Commercial and GCC.

Commercial organizations on M365 Business or Enterprise get production AI with senior engineering and less overhead. Government agencies get GCC-native builds scoped for FedRAMP and compliance requirements. Fixed price. Senior-led. Nationwide.

Which Microsoft AI tool does your organization need?

Three tools do different jobs. Choosing the wrong one is the most common cause of failed GCC AI deployments.

Microsoft 365 Copilot vs Copilot Studio vs Power Automate: What Each Does and When to Use It
Tool What it does Best for Requires Copilot license
Microsoft 365 Copilot AI assistant embedded in Word, Excel, Outlook, Teams, and other M365 apps. Surfaces content from your tenant and helps with drafting, summarizing, and analysis. General productivity across staff. Policy lookup, meeting summaries, document drafting, email responses. Yes. Copilot for Microsoft 365 add-on license required per user.
Copilot Studio Development platform for building custom AI agents. Agents can use generative orchestration, retrieval from specific knowledge sources, and backend tool execution via MCP or custom connectors. Targeted use cases requiring accuracy, specific data sources, or automated actions. Help desk agents, policy Q&A, approval routing, HR lookup, IT automation. Partial. Copilot Studio itself is licensed separately; end users of agents inside Teams may not need individual Copilot licenses depending on agent type.
Power Automate Workflow automation platform that moves data and triggers actions between M365 services, SharePoint, Teams, and external APIs via Graph API or custom connectors. Process elimination and automation: approval chains, notifications, records movement, license monitoring, scheduled data tasks. No. Included in most M365 plans; premium connectors require Power Automate per-user or per-flow licenses.

Most agencies need all three working together: M365 Copilot for general productivity, a Copilot Studio agent for a specific high-stakes process, and Power Automate flows handling the backend data work the agent depends on. Book a scoping call to discuss which tools your use case actually requires.

AI Agent Engineering

Copilot Studio agents built to government accuracy standards.

Copilot Studio agents with generative orchestration, citation-bound verbatim-retrieval architectures, and MCP-backed automation tooling. Purpose-built for government environments where accuracy and auditability are non-negotiable. From RAG pipelines to custom MCP servers, every agent is designed to run compliantly inside your GCC boundary.

  • Generative orchestration & tool routing
  • Local SLM inference pipelines
  • RAG & vector retrieval systems
  • Custom MCP server development
  • Azure AI Foundry integration
  • Citation-bound, verbatim-retrieval agents
  • Agent governance & audit logging
Book a Scoping Call

Power Platform Automation

Graph API-backed workflows that eliminate manual processes at scale.

Enterprise-grade Power Automate workflows and Power Apps that integrate directly with Graph API and PowerShell, eliminating manual processes across your tenant with full audit trails. Designed for government compliance requirements: every workflow is documented, auditable, and maintainable by your IT staff after handoff.

  • Complex workflow architecture & design
  • Graph API & PowerShell integration
  • Automated compliance workflows
  • SharePoint & Teams automation
  • Power Pages & citizen dev governance
  • Approval chains & escalation logic
  • Power BI integration & reporting
Book a Scoping Call

M365 GCC Architecture & Governance

Compliance-first, zero-trust tenant governance from day one.

Comprehensive tenant governance frameworks built across Exchange Online, Microsoft Teams, SharePoint, Microsoft Purview, and Entra ID. Every configuration decision is made with CMMC / NIST 800-171 control objectives and Zero Trust Architecture in mind, architected to operate within Microsoft's FedRAMP-authorized GCC boundary.

  • Purview DLP & sensitivity labeling
  • Entra ID & conditional access policies
  • Exchange Online governance & hygiene
  • Designed to align with CMMC / NIST 800-171
  • CJIS Security Policy alignment for law enforcement and courts
  • Security baseline hardening
  • Teams & SharePoint governance framework
  • Zero Trust Architecture implementation
Book a Scoping Call

GCC Training & Adoption

Hands-on training from the senior engineers who run these systems in production.

Government IT staff and end users get practical, hands-on training on Copilot, Power Platform, and AI tools, delivered by the senior engineers who architect and deploy them in production GCC environments. Not slides. Not vendor sales decks.

  • Copilot Studio for IT administrators
  • Power Automate for government workflows
  • AI governance & responsible use
  • Microsoft 365 Copilot for end users
  • Custom workshop packages ($2,500–$8,500)
  • Remote or on-site delivery
  • Hands-on labs with your actual tenant
Explore Training

AI Readiness Review

A structured review with a 90-day roadmap. Fixed price, 2 weeks.

A structured, fixed-price review of your GCC environment against AI deployment readiness criteria. We assess governance gaps, data protection posture, licensing alignment, and organizational readiness; then deliver a plain-language report and a prioritized 90-day roadmap your leadership can act on.

  • Tenant compliance gap analysis
  • AI governance baseline review
  • Copilot readiness scoring
  • Risk & remediation roadmap
  • Fixed-price, 2-week engagement
  • Executive summary & technical report
  • 90-day prioritized action plan
Book a Scoping Call

GCC AI Jumpstart

2–3 production-ready AI workflows in 6–8 weeks. Governance included.

Our flagship engagement. In 6–8 weeks, we identify your highest-value automation opportunities, build and deploy 2–3 production-ready AI workflows inside your GCC environment, train your staff, and hand you a governance framework and 90-day expansion roadmap. You end the engagement with working AI systems, not a plan for working AI systems.

  • Process discovery & workflow mapping
  • Build & deploy 2–3 production workflows
  • Staff training & operational handoff
  • Governance starter framework
  • 90-day expansion roadmap
  • Full documentation package
  • 30-day post-launch support window
View Full Engagement Details Book a Scoping Call
How We Work

A Repeatable Method, Not a Black Box

Every engagement follows the same four-phase structure. You know what happens and when before we start.

  1. Discovery

    A structured scoping session to map your highest-value automation opportunities, your GCC environment constraints, and your information security requirements. Ends with a written scope document and fixed price.

  2. Build

    Engineering inside your GCC tenant using only FedRAMP-authorized services. Weekly check-ins. No surprises. Every configuration decision is documented as it is made.

  3. Train & Handoff

    Hands-on staff training with your actual systems, not a sandbox. Complete documentation package: architecture diagrams, source code, runbooks, and operational procedures your team can use without calling us back.

  4. 90-Day Roadmap

    A prioritized plan for your next phase of AI deployment: what to build, why, and in what order. So the momentum from this engagement carries forward without requiring another discovery cycle.

FAQ

Common Questions from Government Buyers

Plain answers to the questions we hear most from contracting officers, program managers, and government IT leads.

What is the difference between GCC and GCC High for AI deployments?

GCC and GCC High share the same FedRAMP boundary but differ in data residency scope and feature availability. GCC High restricts some Copilot Studio connectors and requires additional licensing reviews. Feature parity with standard GCC is not guaranteed. For questions about a specific environment configuration, contact us to discuss requirements.

Do I need an SDVOSB award to engage Puget Sound AI?

No. Puget Sound AI is an SBA-certified Veteran-Owned Small Business (VOSB), not an SDVOSB. We are available through VA Vets First VOSB set-asides, standard small business set-asides, micro-purchase, SAP (FAR 13), and as a subcontractor or teaming partner to any prime. VOSB status also supports primes' small-business and veteran subcontracting goals.

What is the GCC AI Jumpstart and what does it deliver?

The GCC AI Jumpstart is our flagship 6-8 week fixed-price engagement. It delivers 2-3 production-ready AI workflows inside your GCC environment, a governance starter framework, staff training, complete documentation (architecture diagrams, source code, runbooks), and a 90-day expansion roadmap. You end the engagement with working AI systems, not a plan for working AI systems. Pricing: $40,000-$60,000.

How quickly can you deploy a production AI system?

Our AI Readiness Review takes 2 weeks ($12,000-$22,000). The GCC AI Jumpstart delivers 2-3 production AI workflows in 6-8 weeks. Simpler targeted automations such as Power Automate workflows or single-agent deployments can often be scoped and delivered in 2-4 weeks depending on complexity and environment access.

What is your pricing structure?

All engagements are fixed-scope with defined deliverables. Training workshops: $2,500-$8,500 (1-2 days). AI Readiness Review: $12,000-$22,000 (2 weeks). GCC AI Jumpstart: $40,000-$60,000 (6-8 weeks, 2-3 production workflows). Monthly retainer: $4,000-$10,000/month (post-Jumpstart optimization). Rates benchmarked against GSA CALC market data for senior cloud architects.

How do you handle data security and GCC compliance?

Every solution is designed from the outset to operate inside the GCC boundary using only FedRAMP-authorized services. No data leaves your tenant. We implement audit logging, least-privilege service accounts, and document all data flows. All engagements are scoped to comply with your agency's ATO boundary and data governance requirements.

Can Puget Sound AI serve as a subcontractor to a federal prime?

Yes. We are actively available as a VOSB subcontractor and teaming partner to federal primes pursuing GCC engagements. We bring deep technical depth in M365 GCC AI engineering (Copilot Studio, Power Platform, Azure AI Foundry, and M365 governance) that complements larger systems integrator capabilities. Contact us to discuss teaming arrangements.

What Microsoft products and platforms do you work with?

Microsoft 365 GCC (all workloads), Copilot Studio, Power Platform (Power Automate, Power Apps, Power BI, Power Pages), Azure AI Foundry, Microsoft Purview, Entra ID, SharePoint Online, Exchange Online, Microsoft Teams, and Graph API. We also build custom Python and PowerShell tooling and Model Context Protocol (MCP) servers that integrate with these platforms.

Do you require a long-term contract or retainer?

No. All engagements are fixed-scope with defined start and end points. The GCC AI Jumpstart and AI Readiness Review are standalone deliverable-based engagements with no ongoing commitment required. Monthly retainers are available post-Jumpstart for optimization and expansion but are entirely optional.

What does knowledge transfer and documentation look like?

Every engagement ends with complete documentation: architecture diagrams, source code (commented and version-controlled), operational runbooks, staff training, and a handoff session. Your team must be able to operate, audit, and extend every system we deliver independently. That is a hard requirement of our delivery methodology, not an option.

Are you available to work with federal agencies and prime contractors?

Yes. Federal agencies and federal prime contractors are our primary market for GCC engagements. We are available as a VOSB subcontractor or teaming partner and serve agencies throughout the United States with remote-first delivery.

Do you work with agencies that have never used AI or Copilot before?

Absolutely. The AI Readiness Review is specifically designed for agencies at the start of their AI journey. It identifies exactly where your GCC environment stands, what gaps need addressing, and produces a concrete prioritized 90-day roadmap so you know what to do first. No prior AI deployment experience is required on your side.

Ask Us Anything
Engagement Structure

Fixed-Price Engagement Types & Indicative Pricing

Training Workshop
$2,500–$8,500
1–2 days
Remote or on-site
AI Readiness Review
$12,000–$22,000
2 weeks
Fixed price
GCC AI Jumpstart
$40,000–$60,000
6–8 weeks
2–3 production workflows
Monthly Retainer
$4,000–$10,000/mo
Ongoing
Post-Jumpstart optimization

All pricing is fixed-scope. Rates benchmarked against GSA CALC market data for senior cloud architects. Subcontracting and teaming arrangements available at negotiated rates.

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Capability Statement (PDF) Commercial Line Card (PDF)