Turn AI Potential Into Practical Business Results

AI is only as powerful as the people, data, and processes behind it. We help organizations cut through the noise and move from curiosity to capability. That means no “AI for the sake of AI” experiments; just practical solutions grounded in data governance, automation design, and business strategy.

Our approach starts with readiness. Do you have the data quality, security, and workflows in place to make AI useful? If not, we’ll help you build the foundation first. From there, we guide you through the opportunities that actually drive results: smarter reporting, predictive analytics, automation that eliminates manual bottlenecks, and governance frameworks that keep everything accountable.

We’ve delivered everything from enterprise-grade automation in regulated industries to AI-driven forecasting and natural language tools that reshape customer experience. The through line is always the same, we make sure the solution fits the business, scales sustainably, and builds confidence in the outcomes.

Book A Workshop Today

AI & Automation Readiness Workshop

Data & Architecture Health Check

How Can We Help You?

Artificial Intelligence

We translate AI into practical business use. Think demand forecasting, fraud detection, natural language chat and support, image recognition, and data enrichment. Our team has hands-on experience with applied AI models and will recommend what works — and flag what doesn’t.

AI Readiness

Successful AI adoption is built on preparation, not promises. We perform structured readiness assessments across your data, security, and process landscape. That gives your organization a clear view of gaps, risks, and opportunities before you invest, and a roadmap for building toward adoption.

Automation

Automation is not just about speed, it is about accuracy and freeing people to do higher-value work. We design and implement workflows that replace repetitive manual tasks, streamline system integrations, and reduce risk. From finance and HR automation to complex operational workflows, our focus is on sustainable design that grows with you.

Data and AI Governance

No AI initiative succeeds without trust in the data. We establish governance models that protect privacy, improve data quality, enforce compliance, and set clear ownership across your organization. The result is AI that operates within a framework you can defend to regulators, customers, and your own leadership.

Project Management

End-to-end project management coordinates client teams and software providers or VARs to deliver on scope, on time, and on budget with realistic plans and measurable checkpoints.

Change Management

Without a strategic OCM plan, enterprise software implementations face a high risk of failure, as repeatedly observed in industry research. Structured training and communications reduce resistance and lift productivity across all impacted roles, not just system users.

Expedient AI Platform

As an Expedient partner, GBQ provides access to Expedient AI CTRL

Expedient AI CTRL removes barriers for organizations to implement AI at scale. It allows organizations to empower employees and simplify AI adoption by addressing common challenges such as data integration, an optimized AI vector store, public and private model optionality, and custom application development, along with multi-model chat, offering a clear path for companies to unlock AI’s full potential.

Call In GBQ’s Business Technology Solutions Team When You Need To:

  • Cut through AI hype and identify practical ways AI and automation can create measurable business value.
  • Assess readiness and evaluate data quality, security, and workflow maturity before investing in AI tools.
  • Design and implement automated workflows that reduce manual effort, improve accuracy, and enhance scalability.
  • Establish governance frameworks that manage AI model risk, bias, accountability, and compliance.
  • Strengthen data governance, ensuring trust, privacy, and data integrity across systems.
  • Integrate predictive analytics, intelligent reporting, or process automation into existing business operations.
  • Implement sustainable automation strategies that align with business growth and regulatory requirements.
  • Remediate operational or security gaps identified during AI readiness or automation assessments.
  • Gain advisory support on platform selection, model deployment, and organization-wide change management for AI adoption.