A Practical Approach to AI

Solve business problems with AI applied where it makes sense.

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AI that starts with a business problem worth solving and delivers real solutions.

Most AI initiatives stall because they begin with technology instead of the business problem. We take a practical, problem-led approach that focuses on where AI will deliver real value. Our agent-augmented solutions accelerate your workflows and expand capacity for your teams.

Three principles shape every AI engagement we take on, from the first use case to agents running in production.

Problem-Led Approach

We start with real business problems, not the technology, so outcomes are grounded in what actually matters to your business.

Agent-Augmented Acceleration

We develop agentic solutions that work alongside your teams, not instead of them, with the goal of helping them move faster and work smarter.

Intentional Solutions

We create intentional solutions tailored to your context, risks, and goals, with governance built-in from the start so AI scales on your terms.

SEE HOW WE’VE HELPED CLIENTS

The company was replacing hundreds of spreadsheet reports with one custom application, and its developers were building fast but not consistently.

We brought Claude Code into the team’s workflow under one shared set of engineering standards. Sprint velocity rose 50%, and releases to production never paused.

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Ohio Mutual wanted Copilot, but their data and governance weren’t ready for it.

We put governance, data readiness, and role-based adoption in place first across 11 business areas, so AI scales to fit real business needs.

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Source: Centric Consulting Delivers 80% Faster Application Modernization with AI Augmented Development

50-80%

Faster timelines in app modernization

30-50%

Cost savings in legacy modernization

10-20x

Productivity gains with AI agents

Practical AI takes more than an AI team. Our work draws on our process, change management, data, software engineering, and security practices, and can be built on the platforms you already run.

Strategy & Change

AI consulting and strategy: Rank AI use cases by business value, not novelty.
Business process improvement: Find and fix the process before adding AI to it.
People and change: Plan adoption from the start so agents become part of daily work.

Data & Analytics

Data strategy: Confirm the data behind the problem can support AI.
Data governance: Control what AI can access based on your data’s sensitivity and use.

Agents & Engineering

Microsoft Copilot consulting: Copilot and Copilot Studio agents inside Microsoft 365.
Salesforce Agentforce: Agents for sales, service, and customer workflows.
AI-augmented development: Pair AI agents with engineers to modernize legacy code.

Governance & Security

AI governance: Policies and oversight sized to your risk tolerance and goals.
Governance, risk and compliance: Fit AI risk to your regulatory obligations, using frameworks like NIST AI RMF and ISO 42001.
Microsoft security and compliance: Agent 365, Entra Agent ID, and Purview, configured for your Microsoft environment.

AI Helps Modernize Legacy Systems Without the Risk

Legacy systems hold your business back, but replacing them has always been slow, expensive, and risky.

Our AI-augmented approach changes that. Using our proprietary Agent C framework, AI agents work alongside senior engineers to analyze decades-old code, extract requirements, and deliver modern, tested systems at a fraction of the time and cost of traditional rewrites.

Learn More About AI-Augmented Development

Learn more about the practical application of AI. No hype, just lessons from the work.

The AI Era Is Changing What It Means to Be A CEO

AI isn’t just changing how companies operate; it’s changing the role of CEO itself. From owning AI strategy to rethinking business models and guiding workforce reinvention, leaders must evolve as fast as the technology.

In this Forbes column, our CEO shares firsthand lessons on what that looks like in practice and why the CEOs who thrive won’t just adopt AI; they’ll reinvent their organizations around it.

Why Modernizing Code the Old Way Risks Obsolescence

Most organizations treat AI as a code generation shortcut, bolting it onto the same old modernization process. That misses the real opportunity.

In this Forbes Technology Council column, we explain why agents should work across the entire development lifecycle, from reverse-engineering requirements out of legacy code to architecture design, testing, and documentation, not just writing new lines.

Building a #1 Rated App with AI-Augmented Development

When bswift needed to scale its mobile benefits app to enterprise-grade quality, staff augmentation wasn’t the answer. They needed a partner with the same ownership and accountability for outcomes.

Within 18 months, the app became the top-rated in benefits administration, downloads surged 2,400%, and the team pioneered AI-assisted development practices that set the standard for bswift’s entire engineering organization.

As a Microsoft Cloud Partner with all three Solutions Partner designations, recognition as a Microsoft AI Inner Circle member, and a Salesforce Certified Partner, our team brings more than 500 certifications across the platforms you trust.