Your AI & Automation Partner

At Diversified Robotic, we’ve redefined what it means to be a trusted partner in automation. With a foundation in Robotic Process Automation (RPA) and a forward-looking investment in cutting-edge AI, we empower businesses to achieve more — whether streamlining workflows or implementing transformative AI solutions. Let’s shape the future together.

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You deserve a Trusted Partner

Over 200+ successful projects and still counting. Officially recognized by Microsoft across three solution areas.

Business Applications

Recognized by Microsoft for our expertise in implementing and supporting Microsoft business applications like Dynamics 365 (Sales, Marketing, Customer Service, Finance & Operations, etc.).

Data and AI

We are a Data & AI focused company with significant expertise in using Microsoft Azure cloud services specifically for data warehousing, data analysis, machine learning and artificial intelligence (AI) applications.

Digital Innovation

Recognized by Microsoft as having a high level of expertise in developing and managing applications using Microsoft Azure cloud services, specifically focused on building innovative digital solutions across different platforms and environments.

Technology that augments human capability

You don’t have the time for trial and error. We bring the architectural precision of a seasoned consulting partner to every engagement.

Robotic Process Automation (RPA)

Software robots that mimic human actions for repetitive, rule-based tasks — data entry, invoice processing, customer onboarding, payroll, and report generation.

Microsoft Environment Migration

Move to Microsoft 365 and Azure with a partner that knows the landing zones, tenant architecture, and change-management playbook for SMBs.

Dynamics 365 & Business Central

Implementation and ongoing support for Sales, Marketing, Customer Service, Finance & Operations, and Business Central — configured to your processes, not the other way around.

Power Platform

Power Apps, Power Automate, Power BI, and Copilot Studio — low-code applications, workflow automation, and analytics that extend your Microsoft investment.

AI Integration

From AI readiness assessment to production-grade integrations using Azure AI and Microsoft Copilot — we augment your team's capability, never replace it.

Data & Analytics

Data warehousing, data analysis, and machine learning pipelines on Microsoft Azure — turn the data you already collect into decisions you can defend.

Built on trust, operated with integrity

Our partnerships with the systems of record for security assurance and supplier diversity aren’t marketing — they’re the foundation of how we do business with SMBs.

SOC 2 Certified

SOC 2 is the AICPA’s reporting framework for the security, availability, processing integrity, confidentiality, and privacy of customer data. We’ve committed to the controls, documentation, and independent audit cycle that back that promise up — so when we handle your systems, records, or customer data, you have a third-party report to rely on, not just our word.

  • Security-first engineering— least privilege access, encrypted data handling, and documented change-control on every bot we deploy
  • Audit-ready processes— the same controls your auditors will ask about are already wired into how we operate
  • Accountable to your customers— we’re a trusted link in your own data supply chain, not a weak one

Certified Black-Owned by the U.S. Black Chambers

Diversified Robotic is a certified Black-owned business through the U.S. Black Chambers, Inc. For partners with supplier-diversity programs, that certification helps you meet spend goals without compromising on capability — we’re a Microsoft Partner first, and a diverse supplier because we are one.

  • Qualifies for supplier-diversity spend— verifiable Tier-1 diverse supplier status for your procurement team
  • Credential from a recognized body— certified by the U.S. Black Chambers, Inc., not self-attested
  • Enterprise-grade, consultative delivery— the same architectural precision every engagement gets

What Our Clients Say

“We would recommend Diversified to any company that is looking to cut down on manual entry tasks that are repetitive so employees can do what they do best and to also initiate consistency throughout the business processes being performed.”
Insurance Industry
Risksmith Insurance Services
Katelyn, Operations Project Coordinator

“DR has helped my business by automating tedious tasks and refining my entire IT structure. Their automated solutions and guidance have reduced my need to hire new personnel, made my current team far more efficient, and honestly their impact is allowing us to focus more on the fun parts of our business.”
Retail Industry
The MUSA Store

“Over the course of time, we have used Diversified Robotic to develop bots to assist in a variety of ways to automate repetitive activities and to be able to assist in processing our claims so our human assets can be maximized. Great Work.”
Medical Industry
Arkansas Urology

Find Your AI Pathfinder

AI readiness isn’t a single question — it’s a spectrum across data quality, infrastructure, workforce skills, leadership buy-in, and use-case fit. Our AI Pathfinder helps you locate your starting line and chart a sequence of wins that match where your business is today.

Learn More About AI Readiness Talk to an AI Specialist

Frequently Asked Questions

Robotic Process Automation (RPA) and Automation

What is RPA, and how does it differ from traditional automation?

Robotic Process Automation (RPA) is a technology that uses software robots to mimic human actions for repetitive and rule-based tasks, such as data entry or report generation. Unlike traditional automation, which requires significant coding and system integration, RPA works on the user-interface layer, making it easier and faster to implement without altering existing systems.

What types of tasks are best suited for RPA?

RPA is ideal for tasks that are repetitive, high-volume, rule-based, and prone to human error. Examples include:

  • Data entry and migration
  • Invoice processing
  • Customer onboarding
  • Payroll management
  • Report generation and data reconciliation

What are the benefits of implementing RPA?

Key benefits of RPA include:

  • Cost Savings: Reduced operational costs by automating manual tasks
  • Increased Accuracy: Minimizes errors in processes
  • Scalability: Easily adjusts to changes in workload
  • Improved Productivity: Frees employees to focus on higher-value tasks
  • Faster Turnaround: Reduces processing times for routine tasks

Can RPA integrate with existing systems and applications?

Yes. RPA can work across various systems and applications without requiring major changes to the IT infrastructure. It interacts with applications just like a human user, making it highly adaptable to different platforms, including legacy systems, web-based platforms, and enterprise software like ERP and CRM tools.

What industries and departments can benefit most from RPA?

RPA can be applied across virtually all industries and departments.

Industries: Banking, healthcare, retail, manufacturing, and insurance.

Departments: Finance, HR, IT, supply chain, and customer service.

Artificial Intelligence (AI) and AI Readiness

What is AI readiness, and why is it important for businesses?

AI readiness refers to a company's preparedness to adopt and integrate artificial intelligence into its operations effectively. It involves evaluating technological infrastructure, data availability, organizational culture, and employee skills. AI readiness is crucial because it ensures businesses can harness AI's full potential to improve efficiency, drive innovation, and gain a competitive edge.

How can a company assess its AI readiness?

To assess AI readiness, companies can evaluate:

  • Data Quality and Accessibility: Do you have clean, structured, and relevant data?
  • Technology Infrastructure: Are your IT systems robust enough to support AI tools?
  • Workforce Skills: Do employees have the skills to work with AI-driven tools and insights?
  • Leadership Commitment: Is there executive buy-in for AI initiatives?
  • Use-Case Identification: Are there clear business problems that AI can address?

What are the first steps for a company starting its AI journey?

  • Identify Business Goals: Focus on specific challenges or opportunities where AI can add value
  • Audit Data: Ensure you have the data needed to train AI models
  • Build Internal Expertise: Upskill employees or hire AI specialists
  • Pilot Small Projects: Start with a manageable use case to test feasibility and measure ROI
  • Engage Stakeholders: Foster a culture of innovation and collaboration across the organization

What are the key benefits of adopting AI for businesses?

  • Efficiency Gains: Automating repetitive tasks saves time and resources
  • Better Decision-Making: AI-powered insights enable data-driven strategies
  • Enhanced Customer Experience: Personalization and faster response times improve satisfaction
  • Innovation: AI helps develop new products, services, and business models
  • Scalability: AI solutions can handle growing workloads without a proportional increase in costs

What are common challenges businesses face when adopting AI?

  • Data Challenges: Poor-quality or siloed data can hinder AI performance
  • Cost and Resource Constraints: AI requires investment in tools, infrastructure, and expertise
  • Change Management: Resistance to change among employees can slow adoption
  • Ethical Concerns: Businesses must address biases in AI models and ensure compliance with regulations
  • Skill Gaps: A lack of AI expertise within the organization can be a barrier to implementation.