Implementing AI successfully isn’t about installing software—it’s about organizing your organization’s knowledge so people can find and use it with confidence.
Every project follows the same structured process. From your first conversation with us through long-term support, you’ll always know what comes next, what we’re working on, and what you’ll receive. 
Step 1: Initial Consultation
Every project begins with a conversation.
We learn about your organization, your goals, your existing technology, and the challenges you’re trying to solve. This is an opportunity for both teams to determine whether a knowledge hub is the right solution and whether we’re a good fit to work together.
Our goal isn’t to sell software—it’s to understand your business.
Step 2: Project Assessment
If we decide to move forward, we’ll ask you to complete our Project Assessment.
This assessment gathers information about:
- Your organization
- Current technology
- Documentation
- Departments
- Security requirements
- Business goals
- Existing knowledge sources
- Desired outcomes
The assessment helps us understand the scope of the project and forms the foundation for your proposal.
Step 3: Statement of Work
Using the assessment results, we prepare a detailed Statement of Work (SOW).
Your proposal includes:
- Project objectives
- Scope of work
- Deliverables
- Timeline
- Assumptions
- Exclusions
- Licensing requirements
- Consulting fees
- Payment schedule
Before work begins, we review everything together so expectations are clear on both sides.
Step 4: Discovery
Once the project begins, we spend time learning how your organization operates.
We meet with leadership and key stakeholders to understand:
- Business processes
- Department workflows
- Existing documentation
- Current pain points
- Knowledge ownership
- Security requirements
This allows us to design a solution that reflects how your organization actually works—not how software expects it to work.
Step 5: Assessment & Information Inventory
Next, we identify where your organization’s knowledge currently lives.
This may include:
- SharePoint
- Microsoft Teams
- Network drives
- OneDrive
- Policies
- Procedures
- Forms
- Training materials
- Internal documentation
- Business applications
We also identify gaps, outdated information, duplicate content, and opportunities for improvement.
Step 6: Cleanup & Organization
This is where the real transformation happens.
Before AI can provide reliable answers, your information must be organized.
We help:
- Remove duplicate documents
- Archive outdated content
- Improve document quality
- Standardize organization
- Assign ownership
- Create a logical knowledge structure
- Configure security and permissions
The result is a trusted knowledge hub that both employees and AI can rely on.
Step 7: AI Enablement
With your knowledge organized, we configure Microsoft Copilot to access approved business information.
We verify:
- Search functionality
- Permissions
- Security
- Information quality
- AI responses
- Source citations
Our focus is making sure employees receive accurate, consistent answers based on your organization’s information.
Step 8: User Validation
Before launch, real employees begin using the knowledge hub.
They ask the same questions they encounter during their daily work while we validate the quality of responses and make any necessary adjustments.
This step ensures the solution works in the real world—not just in a demonstration.
Step 9: Training & Launch
Once testing is complete, we train your team.
Training typically includes:
- Administrators
- Department managers
- Knowledge owners
- End users
We also provide documentation and guidance so your organization can confidently maintain and expand the knowledge hub over time.
Step 10: Governance & Ongoing Support
A knowledge hub is never truly finished.
As your organization changes, your documentation should evolve with it.
We help establish governance processes so your information stays accurate, secure, and useful. We can also provide ongoing support, periodic reviews, and assistance with future AI initiatives as your organization grows.
What You Can Expect
Throughout every project, you’ll work with a structured, transparent process designed to minimize surprises and maximize results.
You’ll receive regular communication, clearly defined milestones, and practical deliverables that provide value at every stage of the engagement.
By the end of the project, you’ll have more than an AI assistant. You’ll have a well-organized, secure knowledge hub that preserves your organization’s institutional knowledge and creates a foundation for future AI initiatives.
That’s how Pixel Dust helps organizations move from scattered information to trusted, AI-powered knowledge.
