Modern Cloud Operations & Governance
Frontier Workforce Enablement
AI Business & Process Development
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Build and secure your Azure cloud environment using a proven Well Architected Framework approach incorporating Zero Trust principles.
Migrate data & apps from on-premise facilities to the Microsoft Cloud, transition between Azure or Microsoft 365 cloud tenants, integrate and/or separate IT environments to support M&A or divestiture requirements.
Streamline IT operations with ServiceNow ITSM, ITOM, and automation ā fully integrated with your Microsoft environment.
Classify, protect, and manage enterprise data across Microsoft 365, Azure and on-premise environments using Microsoft Purview services ranging from data cataloging to AI data security.
Manage identities, secure devices, and control application access with Microsoft Intune, Entra, and Defender for Endpoint.
Optimize how your teams create, collaborate, and communicate with Microsoft 365, SharePoint, Teams, and Exchange.
Enable your organization to optimize the use of Copilot and AI responsibly and become a Frontier Firm.
Unify and operationalize your data with Microsoft Fabric, OneLake, and Power BI to turn raw data into trusted business insights.
Modernize workflows and build intelligent solutions with Power Platform, Copilot Studio, process automation, and custom app development.
Develop practical AI solutions on Azure ā from AI strategy and generative AI assistants to custom AI applications, predictive ML models and MLOps.
Future-forward solutions optimize supply chains, improve operational efficiency, and identify new revenue streams.
Concurrency harnesses cutting-edge artificial intelligence to help FinServ firms be more successful in getting their customers superior results.
Even businesses that focus on technology solutions benefit from partners who are experts in implementing it strategically and intelligently for enterprise-wide efficiencies and cost savings.
Successful retail operations extend beyond store shelves with leaders orchestrating a complex system of warehouses, digital properties, transportation, suppliers, raw materials, and more.
Concurrency bolsters IT teams in healthcare to lead technology transitions while optimizing for efficiencies and cost.
Concurrency experts strengthen energy and utility companies in designing secure IT environments to address customer needs.
Delivering the Future ā Build on Azure
Unprecedented Business Results
AI Agents Transform HR and Legal Operations for Leading Manufacturing Company
Scaling with Responsible AI
Top 5 AI Concerns and How to Mitigate Them Responsibly
Possibilities are limitless. Concurrency executives take you beyond whatās happening to what it means for tomorrow.
Concurrency is creating positive outcomes in our local communities and educating digitally across the globe. Join us on this journey.
Technology moves fast. Get up to speed on the terms, concepts, and language that shape the work we do and the industry we’re in.
Weāre curious, collaborative, and committed. Learn and get inspired to affect change for maximum impact.
Track our transformation in real time as we add to Concurrencyās in-house expertise and the tech industry recognizes our work with clients.
We’re inquisitive, cooperative, and unwaveringly dedicated. Explore and find inspiration in our case studies, showcasing how we’ve driven transformative change for optimal outcomes.
Exploring Beyond Today, Shaping Tomorrow’s Success
Unlock AI’s Potential
Wisconsin Emerges as Tech and Manufacturing Powerhouse: Concurrency, Microsoftās Top AI Partner, Leads the Charge Toward Innovation
Using Microsoft Dynamics 365 to Deliver Better Services
Wealth Manager Leverages Custom Dynamics 365 Applications to Deliver a Better Customer Experience
What’s New With Concurrency
Top Microsoft Partner
Top Workplaces 2024
Continued Commitment to Employee Satisfaction and Positive Workplace Culture Leads to Fifth Win
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Employee Testimonials at Concurrency
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Every password reset, “where do I find the PTO policy” question, and access request that lands in a queue costs you twice: once in analyst time and again in the employee who stops working while they wait. Help desk automation with AI agents goes after both costs at once. Done well, it resolves routine requests…
Every large organization loses time to knowledge it already owns. An engineer re-runs a test from three years ago. A support rep sends the old spec because the new one lives in a Teams channel nobody mentioned. AI enterprise search promises to end that. With Microsoft 365 Copilot, employees ask a question in plain language…
Microsoft 365 Copilot is only as safe as your permissions. It answers questions by drawing on the email, chats, files and sites each user can already open, and it respects those permissions exactly. That is both the reassuring part and the uncomfortable part. If a salary spreadsheet sits in a SharePoint site shared with “Everyone…
Short answer: Yes. Banks, wealth managers, and lenders can deploy generative AI copilots today without putting customer data or their next examination at risk. The outcome depends on the controls around the model: who can reach it, which data it can read, where that data is processed, who reviews its output, and how you prove…
Walk any multi-plant manufacturer and you find the same picture. Line-level data sits in a plant historian that only two engineers know how to query. Three plants run three different versions of the MES, one of them on a server nobody wants to touch. A cloud data lake was supposed to fix this, yet plant…
The most expensive data platform is the one that works and nobody uses. The pipelines run, the lakehouse is technically sound, the architecture diagram is clean, and six months later finance is still reconciling numbers in spreadsheets because nobody trusts the dashboards. The platform did not fail. The partner built the wrong things first, or…
Most organizations that are serious about AI can already name what they want: order entry that runs without retyping, a forecast that refreshes in minutes, an assistant that answers policy questions from documents HR already owns. The use case is rarely the hard part. The hard part is judging which partner will get it out…