What Goes Into AI Consulting Services?

Discover what AI consulting services involve, how they drive ROI, and how they help organizations overcome adoption barriers.

In brief:

• AI consulting services help organizations pick the right AI use cases, prove their value, and build them into daily work. AI consulting at Centric includes three phases: Adapt, where teams test AI on real tasks. Adopt, where proven AI tools enter regular work through planning, training and implementation. Accelerate, where the organization optimizes and scales what works.
• Effective AI consulting prevents common adoption failures by designing for enterprise scale from the start. This helps pilots translate into sustainable deployments through proper governance models, workflows, and ownership structures.
• AI consultants help organizations move from experimentation to integration by assessing AI maturity, creating phased roadmaps with high-value use cases, and delivering change management strategies that reduce resistance and build workforce confidence.

Nearly two-thirds of respondents in a McKinsey 2025 survey said they were experimenting with AI, but only 7 percent had fully deployed and integrated AI across their entire organizations.

The problem isn’t the tools. It’s knowing what to use them for and how to make the changes stick.

AI consulting helps leaders turn ideas into practical, measurable progress.

What Does AI Consulting Actually Involve?

While traditional IT or analytics consulting often focuses on tooling or project delivery, AI consulting builds connective tissue between business priorities and intelligent systems.

The best AI consultants work with organizations to turn complex business challenges into practical, AI-enabled solutions. That requires thinking beyond models and into how data is used, how teams make decisions, and how workflows evolve. It links executive goals with data maturity, automated platforms, and governance with cultural readiness.

Aligning AI to Clear Business Strategies

Every successful AI initiative begins with clarity. AI consulting engagements should:

• Help leadership teams align AI efforts with real business objectives, whether that’s accelerating product delivery, unlocking customer insights, or improving operational efficiency.
• Assess current capabilities using AI maturity models. These models help determine how prepared the organization is for intelligent systems.
• Create a tailored roadmap that outlines high-value use cases, governance needs, and phased implementation.

Our approach to AI strategy development goes beyond simply experimenting with new technology. We first identify the root problems and then build solutions with measurable outcomes. We align vision with execution to help organizations turn AI ambition into lasting business impact.

Building the Data and Technology Foundation for AI Integration

According to a 2025 Forbes article, 60-70 percent of AI growing pains result from an ill-prepared data infrastructure.

That’s why AI consulting efforts often begin with modernizing data pipelines and introducing governance practices that prepare systems and processes for AI involvement. Consultants should guide decisions around cloud architecture, model deployment, and platform selection.

We support these efforts as a Microsoft Cloud partner, helping clients unify their analytics, data engineering, and machine learning into a single environment. We also offer Salesforce AI consulting and Microsoft Copilot consulting to embed intelligence into processes with minimal disruption.

Such a phased rollout helped a past culinary client strategically implement AI across multiple aspects of their business to deliver better insights on customer trends and buying behavior while automating purchase order submissions.

We help clients evaluate when to build custom AI models and when to adopt proven tools, making sure that every technology investment supports their broader business strategy.

Preparing Teams and Culture for AI Adoption

AI tools require people who are prepared to adopt them. That’s why workforce enablement and change management are central to any successful AI consulting engagement.

At Centric, we help clients embed AI fluency across their entire organization, from executive teams to frontline staff. This includes upskilling, role-based training, and collaborative change strategies that reduce resistance and build momentum.

This human-first approach prepares organizations to be technically prepared and culturally ready to integrate AI into daily work.

What Does an AI Consulting Engagement Look Like From Start to Finish?

An AI consulting engagement starts by deciding where AI belongs before implementing solutions.

For example, at What Chefs Want, a major wholesale food distributor, we conducted an AI visioning workshop that surfaced more than 40 AI opportunities across 12 value stream areas. A prioritization matrix turned that list into an implementation roadmap. From there, we moved each use case through three phases.

1. Adapt by Testing AI on Measurable Work

Teams learn and experiment with an AI tool on real tasks before AI touches core processes. Each tool must first align with strategic goals and have the data it needs before demonstrating enough promise to earn a pilot.

Narrow targets work best. Productivity gains are largest in structured, measurable work where outputs are easy to monitor. In finance, most teams see early ROI within the first pilot, typically in 60 to 90 days, when the AI targets one high-volume area, such as invoice processing.

2. Adopt What the Pilot Proves

When a pilot’s benefits justify the investment, the tool moves into regular work through integration planning, training, and implementation. Ohio Mutual Insurance Group’s Microsoft Copilot rollout, for instance, paired a champions network with hands-on prompt engineering training and a phased rollout while directly engaging 11 business areas.

3. Accelerate Once AI Is Part of Daily Work

In the accelerate step, the organization matures its capability through optimization to scale AI enterprise-wide and spark innovation. At What Chefs Want, we developed a stairstep roadmap that progressively builds AI capabilities.

How AI Consulting Helps Overcome Common Barriers to Adoption

Taking a human-first approach is only part of mitigating AI adoption challenges. Other ways that AI consulting supports adoption include:

Assessing Data Quality and Improving Existing Workflows

Poor data quality, fragmented systems, or outdated pipelines can quietly sabotage even the most well-intentioned AI projects. Consulting teams help evaluate your current data landscape, identify sources of friction, and recommend improvements that make AI models more effective from the start.

This includes establishing governed data architectures, aligning data to key use cases, and helping teams understand what “AI-ready” data looks like in the context of their operations.

Aligning Executive Expectations with Realistic Outcomes

AI transformation depends on cross-functional clarity. One of the most valuable roles consultants play is helping leadership teams align around what AI can realistically achieve, within what timeframe, and with what level of investment.

Through roadmapping, stakeholder workshops, and early wins, consultants help organizations move forward with confidence, not confusion.

Equipping Teams to Confidently Adopt AI

Adoption often slows when employees feel overwhelmed or unsure about what’s changing. Consulting services bring structure to change management, creating a path where teams feel supported rather than disrupted.

This includes tailored training plans, communication strategies, and building cultural alignment across departments so that teams not only accept new tools but also trust them.

Designing for Scale from the Start

Successful pilots often fail to translate into long-term impact because they were never built with scale in mind. Consultants help design the governance models, workflows, and ownership structures needed to move from a proof of concept to enterprise-wide deployment.

The things that you learn during the pilot phase will affect governance and security, and they will tell you if you will achieve the KPIs you’re looking for in a more real-world setting.

Thinking beyond the pilot phase from the outset helps organizations reduce rework, improve accountability, and lay the foundation for sustainable AI growth.

How We Help Organizations Become AI-first

Our integrated, full-stack approach aligns strategy, technology and people. We focus on embedding AI across business vision, systems and culture, as well as implementing tools or models.

In one case, we helped a regional bank move from zero automation to providing a fully automated end-to-end experience for 67 percent of its customers through a steady alignment of culture, process and tech.

Our teams develop scalable AI capabilities, including agent development, advanced data platforms, and governance frameworks that promote the responsible and effective use of AI. We work within your existing ecosystems, using partnerships with Microsoft, Salesforce, and other enterprise platforms to accelerate adoption and deliver measurable results.

Becoming an AI-first organization is an ongoing evolution of:

• Understanding your current state
• Identifying where AI can create value
• Preparing teams and platforms for sustained transformation

Whether the starting point is targeted pilots, governance models, or workforce readiness, we ensure AI investments are strategic, scalable and sustainable.

Start Your AI Journey with Confidence

Whether you’re building your first roadmap or scaling enterprise-wide transformation, working with experienced AI consultants helps you avoid missteps and move faster.

Our AI consulting services combine clear strategy, trusted platforms, and people-centered transformation to help organizations thrive in an AI-powered future.

Are you ready to explore how artificial intelligence can fit into your business but aren’t sure where to start? Our AI experts can guide you through the entire process, from planning to implementation. Talk to an expert