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Read the full post → The Practice
Copilot only pays off if it does more than autocomplete.
For organizations standardized on Microsoft, Copilot, Copilot Studio, and Azure OpenAI are the natural AI layer, sitting right where people already work. But a Microsoft 365 Copilot license deployed without thought becomes an expensive autocomplete that a few people try and most forget. The value comes from building agents and workflows around your actual processes, with the governance to make them safe, not from turning a feature on.
What we actually do
We build the Microsoft AI layer end to end: Copilot Studio for low-code agents grounded in your data, Microsoft 365 Copilot rollouts that drive real adoption rather than license waste, Power Platform integration so agents can actually take action, and the customization and governance work that keeps it secure. The point is measurable productivity, agents that complete real tasks, not a chat box in the corner of Office.
Where Copilot projects go wrong
The common failures: rolling out M365 Copilot with no enablement, so adoption stalls; Copilot Studio agents grounded in messy or over-exposed SharePoint data; governance treated as an afterthought in an environment where it is non-negotiable; and no measurement, so no one can prove it was worth the spend. We scope to real workflows, fix the data and permissions underneath, and build the governance in.
Why Abstrakt Solutions
We build production AI and we know the enterprise platforms it has to live inside. As a Salesforce and AI consulting firm fluent across both the Microsoft and Salesforce worlds, we put Copilot where it genuinely moves productivity and connect it to the rest of your stack instead of leaving it on an island.
What We Deliver
How we help with Microsoft Copilot.
The engagements we run most often on Microsoft Copilot, from first implementation through optimization.
Copilot Studio Development
Custom copilots built in Copilot Studio with knowledge sources, actions, and Power Platform integration.
Microsoft 365 Copilot Rollouts
Enterprise Copilot deployments with governance, permissions audit, and adoption programs.
Azure OpenAI Implementations
Custom applications on Azure OpenAI with enterprise security, data residency, and audit controls.
Power Platform AI
AI Builder, Power Automate AI flows, and Power Apps with embedded AI capabilities.
Dynamics 365 Copilot
Copilot for Sales, Service, and Customer Service, connected to Dynamics 365 data and workflows.
Copilot Governance & Adoption
Permissions audit, sensitivity label hygiene, and adoption programs that actually move productivity needles.
Outcomes We Deliver
The metrics we actually move with Microsoft Copilot.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
Knowledge worker hours saved
Faster
Copilot adoption rate
Increased
Permissions exposure incidents
Reduce to zero
How We Work
The engagement model.
Predictable phases. Clear deliverables. No surprises.
01
Discovery
One to two working sessions to map your current state, business goals, and gaps. We come out with a written scope and recommendation.
02
Design
Documented architecture, realistic timeline, and transparent commercial proposal. No surprises and no hidden scope.
03
Build
Configuration, development, integrations, data migration, and QA, with weekly demos and on-the-fly adjustments.
04
Launch & Optimize
Training, change management, hypercare, and ongoing optimization. We do not disappear at go-live.
Featured Insight
Insights on Microsoft Copilot.
Practitioner-level analysis from the consultants delivering the work.
Revenue Operations