May 27-28, 2026
AI Congress 2026
Enterprise AI is moving from experimentation to execution.
Join Nexigen in Washington, D.C. as leaders across business, technology, governance, and innovation explore what responsible AI adoption actually looks like in practice.
Trusted by organizations navigating complex technology transformation
Managed IT | Cybersecurity | AI Strategy | Automation | Cloud Infrastructure
20+ Years supporting business technology
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24/7 security operations & monitoring
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Enterprise + Mid-Market Expertise
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Human-led AI strategy
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20+ Years supporting business technology | 24/7 security operations & monitoring | Enterprise + Mid-Market Expertise | Human-led AI strategy |
AI Is No Longer a Future Conversation
Artificial intelligence has moved beyond experimentation.
What started as isolated pilots and productivity testing is now influencing operations, customer experience, cybersecurity, governance, workforce strategy, and enterprise decision-making.
But adoption is accelerating faster than organizational readiness.
The question is no longer if AI belongs in your business.
It’s whether your business is prepared to operationalize it responsibly.
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Leadership teams are being asked to act on AI before internal systems are fully prepared.
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Policies, ownership, accountability, and risk controls often lag behind adoption.
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Disconnected systems and fragmented workflows make implementation difficult.
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AI introduces new attack surfaces, data risks, and compliance concerns.
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Executives need measurable outcomes, not expensive experimentation.
AI Is Only Valuable When the Foundation Is Ready
Most organizations are not struggling with AI because of lack of ideas.
They are struggling because the underlying business environment was never designed to support scalable AI adoption.
Infrastructure gaps. Security blind spots. Governance uncertainty. Fragmented workflows. Data readiness issues.
AI amplifies what already exists.
If the foundation is weak, AI accelerates chaos.
If the foundation is strong, AI becomes a force multiplier.
Nexigen helps organizations close that gap by combining practical AI strategy with the operational expertise required to make it work.
AI & Automation
Practical AI Solutions That Improve Real Business Operations
AI Workflow Integration
Microsoft Copilot Deployment
AI Readiness Assessments
AI Governance Strategy
Business Process Automation
AI Agent & Workflow Design
Operational AI Consulting
Cybersecurity
Secure AI Adoption Starts With Strong Cybersecurity
24/7 SOC Monitoring
Endpoint Protection (EDR)
Threat Detection & Response
SIEM & Security Analytics
Compliance & Risk Strategy
AI Security Governance
Vulnerability Testing
Managed IT
IT Support Designed for Growing Businesses
24/7 IT Support
Infrastructure Management
End-User Support
Network Operations
Proactive Monitoring & Maintenance
Backup & Disaster Recovery
Strategic IT Planning & Advisory
Cloud & Microsoft
Modern Cloud Infrastructure Built for Performance & Flexibility
Azure Infrastructure
Microsoft 365 Solutions
Copilot Readiness
Hybrid Cloud Strategy
Cloud Migration Services
Cloud Security & Compliance
Collaboration & Productivity Optimization
A Practical Framework for Responsible AI Adoption
Enterprise AI success does not happen through isolated experiments.
It requires structure.
Nexigen helps organizations move from AI curiosity to measurable business outcomes through a practical framework built around readiness, governance, execution, and operational scale.
Our approach helps leadership teams:
Identify high-value opportunities
Assess infrastructure and security readiness
Build governance and accountability frameworks
Select practical AI use cases aligned to business goals
Pilot responsibly before scaling
Operationalize AI with measurable ROI
ASSESS & ALIGN
1
ALIGN
Establish the Foundation
Executive vision & goals
Define business outcomes
Identify sponsors & stakeholders
Set success criteria & KPIs
2
DISCOVER
Understand the Opportunity
Map workflows & processes
Identify pain points & value drivers
Gather ideas across teams
Document constraints
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PRIORITIZE
Focus on What Matters Most
Score use cases (Impact, Feasibility, Risk, Readiness)
Identify quick wins, pilots & foundation projects
Set top opportunities
4
ASSESS DATA
Prove Data Readiness
Evaluate data quality, access & completeness
Identify gaps, silos & risks
Access structured, unstructured & multimodal data
Build data readiness plan
STRATEGY & PLAN
5
ASSESS TECHNOLOGY
Validate Technical Readiness
Review architecture, infrastructure & tools
Assess security, compliance & privacy posture
Evaluate integration & scalability
Identify capability gaps
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SELECT SOLUTION PATH
Choose the Right Approach
Define problem & success metrics
Select model approach (ML, LLM, Fuzzy, Hybrid, etc.)
Determine buy, build or hybrid strategy
Ensure explainability & fit-for-purpose
7
GOVERN
Build Trust & Ensure Control
Establish AI governance framework
Manage risk, compliance & ethics
Define human-in-the-loop & audit processes
Monitor, detect drift & ensure accountability
IMPLEMENT & SCALE
8
ROADMAP
Plan the Path to Value
Define milestones, owners & timelines
Estimate cost, ROI & resources
Identify dependencies & risks
Create phased implementation plan
9
PILOT
Prove Value Early
Build prototype & test
Validate data, model & usability
Measure results against KPIs
Refine approach & operations
10
IMPLEMENT & SCALE
Deliver Impact at Scale
Production hardening & integration
Train users & manage change
Scale across organization
Continuous improvement & ROI tracking
DRIVEN BY DATA
Make informed decisions with trusted insights.
POWERED BY PEOPLE
Leverage expertise and collaboration at every step.
DELIVERED BY CONFIDENCE
Make informed decisions with trusted insights.
SECURE
ETHICAL
MEASURABLE
Why Organizations Work With Nexigen
AI strategy alone does not create business outcomes.
Successful adoption requires the right infrastructure, secure systems, operational alignment, governance, and a clear path from experimentation to execution.
That is where many organizations get stuck.
They have ideas. They may even have tools in place. But without the operational foundation and technical expertise to support scale, AI initiatives often become fragmented, difficult to govern, or disconnected from measurable business value.
Nexigen helps organizations bridge that gap by combining practical AI strategy with the enterprise technology expertise required to operationalize it responsibly.
How We Help
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Move from scattered experimentation to a practical AI roadmap aligned with business priorities, operational goals, and measurable outcomes.
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Identify repetitive, manual, or inefficient processes where AI and automation can create immediate operational gains.
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Assess infrastructure, permissions, governance, and use case readiness before deploying Copilot or broader Microsoft AI capabilities.
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Build responsible frameworks for oversight, accountability, compliance, and policy development as AI adoption expands.
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Protect expanding attack surfaces, secure data flows, and reduce risk as AI becomes embedded into business operations.
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Ensure your infrastructure is scalable, secure, and architected to support modern AI workloads and connected workflows.
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Move from concept to execution with practical deployment support, integration planning, user enablement, and measurable adoption strategies.
Whether your organization is exploring AI for the first time or working to scale adoption responsibly, Nexigen helps leadership teams turn AI ambition into practical execution.
Meet the Nexigen Team at AI Congress
The strongest conversations happen person to person.
Our team is attending AI Congress to connect with leaders navigating practical AI adoption, modernization, cybersecurity, and operational transformation.
JON SALISBURY
CEO & Chief AI Officer
Jon Salisbury is the Chief Executive Officer and Chief AI Officer at Nexigen, where he leads the company’s strategic vision across AI, cybersecurity, and enterprise technology. With more than two decades of experience, Jon specializes in guiding organizations through digital transformation with a focus on innovation, operational efficiency, and measurable business impact.
As CAIO, Jon is focused on helping organizations move beyond AI experimentation and into real-world implementation. He aligns strategy, culture, and technology to drive sustainable growth. His expertise spans cloud computing, cybersecurity, and enterprise IT strategy, with a strong emphasis on responsible and scalable AI adoption.
In addition to his role at Nexigen, Jon is a multi-time founder and active contributor to the technology community, including organizations such as Rove IQ, Pay Options, and the Enterprise Technology Association.
MIKE BAUSANO
Chief Growth Officer
Mike Bausano is Chief Growth Officer at Nexigen, where he leads enterprise-wide initiatives focused on revenue expansion, market development, and strategic partnerships. With more than two decades of leadership experience, Mike specializes in aligning innovation with business outcomes and ensuring that emerging technologies like AI translate into measurable growth.
He works closely with executive teams to operationalize strategy and drive adoption of AI and digital transformation initiatives that improve efficiency, unlock new opportunities, and scale with intention. Known for his ability to bridge vision and execution, Mike brings a disciplined, customer-centric approach to building sustainable growth.
Prior to Nexigen, Mike co-founded and led Triple E Partners through 15 years of award-winning growth. He remains actively engaged in the Cincinnati business community and serves on the Board of Governors at the University Club of Cincinnati.
SCOTT PHILLIPS
VP of Engineering
Scott Phillips is VP of Engineering at Nexigen, specializing in backend systems, cloud infrastructure, and the automation of complex enterprise workflows. With a background in mechanical engineering and software development, Scott focuses on building scalable, reliable platforms that enable organizations to move from AI experimentation to real-world productivity gains.
His experience includes backend service design, CI/CD pipeline optimization, infrastructure-as-code, and high-performance data systems. He has worked across startups, enterprise engineering teams, and research environments, consistently improving system reliability, reducing developer friction, and accelerating delivery.
Scott’s current focus is on practical enterprise AI. This includes implementing tools like Copilot, leveraging efficient models, and designing systems that deliver measurable impact without unnecessary complexity.
MATT BORNEMAN
VP of Business Development
Matt Borneman is VP of Business Development at Nexigen, where he helps organizations strengthen their technology strategy through AI, cybersecurity, cloud, and modern IT solutions. With more than two decades of experience, Matt specializes in building long-term partnerships that align technology investments with business outcomes.
He works closely with clients to develop high-value IT strategies that improve resilience, reduce operational friction, and support scalable growth. His relationship-driven approach ensures organizations are prepared for today’s challenges and positioned for the future of AI-enabled operations.
Matt plays a key role in expanding Nexigen’s market presence and helps organizations understand how to adopt and scale emerging technologies in a practical, results-driven way.
Let’s Keep the Conversation Going
If you’re attending AI Congress and want a practical conversation about AI strategy, implementation, cybersecurity, or modernization, let’s connect in person.
No hard pitch. Just a useful conversation.
Explore practical AI solutions for your business
Talk through your technology, security, or operational goals
Learn how Nexigen helps businesses move faster with confidence
Connect directly with our team for next steps
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