We bought Copilot licenses, but usage is low or we can't tell
Role-based rollout, training, and usage tracking so every seat earns its place
Security won't approve a rollout until our data is under control
Data access review, sensitivity labels, and guardrails in place before anyone gets access
Our pilot went well, but it never scaled
A 90-day path from pilot to production, with clear go/no-go gates
Leadership wants ROI, and all we have is anecdotes
Baselines and reporting agreed up front, so results are measurable
We want AI agents, but don't know where to start or how to govern them
Use-case selection, agent development, and governance built in from day one
Our clinicians spend too much time on documentation
Dragon Copilot planning, EHR integration, and rollout
Purpose-built agents for sales, service, HR, finance, and operations, designed around how your teams actually work.
Agents that hand work to each other, with approval points wherever you want a human in the loop.
Connect agents to Dynamics 365, Salesforce, ServiceNow, SAP, SharePoint, and custom APIs.
Agent identity with Microsoft Entra, Agent 365 oversight, audit trails, and clear permission boundaries.
Publish to Teams, Microsoft 365 Copilot, web, and mobile, wherever your people and customers already work.
Agents triggered by an email, a record change, or a schedule, running without waiting for a prompt.
Embedded AI assistance inside the tools your teams use every day — Word, Excel, PowerPoint, Outlook, and Teams. Copilot drafts documents, summarizes meetings, analyzes spreadsheets, and prioritizes inboxes. Teams now includes Copilot Chat in chats, channels, and meetings, with AI-generated highlights and audio summaries in 8+ languages.
Copilot is embedded across Dynamics 365 Sales, Customer Service, Marketing, and Business Central. Sales reps get AI-generated follow-up suggestions. Customer service agents surface case summaries instantly. Finance and operations teams benefit from predictive analytics across supply chain and inventory.
GitHub Copilot accelerates development by suggesting code completions within IDEs like Visual Studio Code. Azure OpenAI Service Copilot enables organizations to build custom AI applications with natural language processing and image generation — fully integrated within the Azure ecosystem.
Power BI Copilot enables users to query their data in plain language and generate visualizations without writing a single formula. Azure Synapse Analytics Copilot automates data exploration and query generation, making advanced analytics accessible to non-technical stakeholders.
Microsoft Security Copilot assists IT and security teams by analyzing threats, automating responses, and surfacing actionable insights from across your environment. Microsoft Defender now provides SOC teams with a risk-based inventory of AI agents across Microsoft Foundry and Copilot Studio.
Custom Copilot applications built for healthcare, AEC, finance, and manufacturing using Azure and Dynamics 365 platforms. Microsoft Dragon Copilot extends ambient clinical documentation across the full care team with deep EHR and Microsoft 365 integration.
Every Microsoft Copilot consulting engagement at AlphaBOLD includes a defined measurement framework. We track what matters to your business – not just deployment milestones – so your leadership team has the data to justify continued investment and scale confidently.
Based on AlphaBOLD client deployments across enterprise and mid-market organizations.
Time saved per task, meetings summarized, documents generated.
30–50% reduction in administrative work
Workflows automated, manual handoffs eliminated.
60–80% faster process completion
Search time reduced, questions resolved by agents.
40% faster information retrieval
Error rates, rework cycles, compliance incidents.
25–35% reduction in errors
Adoption rates, feedback scores, tool utilization.
70%+ sustained adoption at 90 days
Clinical documentation time, ambient note accuracy, EHR integration.
Significant reductions in physician admin time across nurses and radiologists
Active users by role, and idle licenses to reassign
Time on core tasks before and after, plus user feedback
Cycle time for the workflows we target
Rework, errors, and data-access issues closed
Documentation time per encounter and after-hours charting
Data review, use-case shortlist, license plan, and baselines
A focused group, role-based training, and your first agent in build
Results against baseline, then expansion with clear go/no-go decisions
Monthly reviews, new use cases, and release management
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