Most mid-market companies do not need a new AI model. They need AI they already have access to wired into the systems that run the business. That is what AI integration consulting is for.
A typical engagement connects a language model or a prediction service to the ERP, the CRM, the document stores, and the ticketing system, then rebuilds the workflow so people actually use the result. The hard parts are rarely the model. They are data access, permissions, error handling, approvals, and the handoff to the people who own the process.
This guide covers what AI integration consulting includes for a company in the $50M to $1B range, what to look for in a partner, and eight firms worth a conversation. Xcelacore AI is on the list, and we say so plainly.
What AI integration consulting covers for mid-market companies
The scope varies by firm, but a complete engagement usually covers five things.
Connecting AI to systems of record. ERP (NetSuite, Dynamics, SAP, Epicor), CRM (Salesforce, HubSpot), HR, finance, and property or patient management systems. The AI needs read access, sometimes write access, and clear rules for both.
Data readiness. Most mid-market data lives in a mix of SQL databases, SharePoint folders, spreadsheets, and SaaS apps. Integration consultants build the pipelines and retrieval layers that let AI use that data without a multi-year data warehouse project first.
Workflow redesign. Dropping an AI step into a broken process produces a faster broken process. Good firms map the current workflow, decide where AI adds value, and define where a person reviews and approves.
Legacy system access. Many mid-market companies run systems that predate modern APIs. Our guide on how to integrate AI with legacy systems covers the patterns: API wrappers, event streams, and middleware layers that keep the old system intact.
Production operations. Monitoring, cost controls, model swaps, and support after launch. Pilots skip this part. Production cannot.
What to look for in an AI integration partner
Use these filters before you request a proposal.
Integration depth, not just AI depth. Ask which ERPs and CRMs the firm has connected AI to in the last 12 months, and how. If the answer is a slide instead of a name and an architecture, keep looking.
Model-agnostic architecture. The model you choose this year will not be the best choice in two years. A partner who builds a modular layer between your systems and the model lets you swap vendors without rebuilding.
Senior people on the delivery. Mid-market budgets do not support a pyramid of junior staff under a partner you meet twice. Ask who scopes the work and who does it. If the names match, that is a good sign.
Adoption support. Integration without adoption is shelfware. Firms that offer training and change management, or that work well with AI change management consultants, close the loop.
Industry fit. A partner who knows your systems and your regulatory environment moves faster. If you want a starting point by sector, see Xcelacore AI’s AI integration consultants by industry.
The best AI integration consulting firms
Xcelacore AI
Oak Brook, Illinois. Founded in 2014 as Xcelacore and rebranded as Xcelacore AI, the firm positions itself as a business-first AI partner for mid-market companies with $50M to $1B in revenue. Its offer runs in three parts: Plan (AI strategy, roadmap, and executive workshops), Build (agentic AI and custom AI applications), and Deliver (AI-to-legacy integration, training, and adoption). Integration is central to the model. The firm’s architecture is model-agnostic and modular, so a client can change AI vendors without rebuilding the connections to ERP, CRM, and data systems. The senior partners who scope an engagement also deliver it. Ten years of shipping production software, including cloud, DevOps, QA, security, RPA, and systems integration work now grouped under AI Success Services, means the team has operated what it builds. Clients include EY, Northwestern Medicine, and Great Wolf Resorts. Priority industries are hospitality, healthcare, commercial real estate, and education.
Centric Consulting
Ohio-based, with a 25-year history and roughly 1,400 employees across 14 U.S. and India locations, according to a Greater Cleveland Partnership profile. Centric is a business and technology consultancy that approaches AI from the practical use case backward: find a measurable business problem, then build the solution and the governance around it. Its AI services include custom AI builds, generative AI acceptable use policies, AI Centers of Excellence for governance and adoption, and pre-built accelerators for healthcare and insurance. The regional office model means a mid-market client can get a partner close enough to visit and large enough to staff a full program. Centric is a reasonable fit for companies that need the governance and policy layer handled alongside the integration work, especially in regulated industries.
West Monroe
Chicago-based, employee-owned, and self-described as an AI-native consulting firm. West Monroe pairs AI with its established practices in operations, mergers and acquisitions, organization and people, and technology. It serves eight industries including consumer and industrial products, energy and utilities, financial services, healthcare, high-tech, insurance, life sciences, and private equity. The firm has built its own tooling, including WestMonroe.ai, a public platform of AI strategy agents, and Clonal, an operational intelligence platform, and it was named Overall AI Consulting Firm of the Year in the 2026 AI Breakthrough Awards. West Monroe is a strong fit for private-equity-backed mid-market companies where AI integration is tied to a value creation plan and the firm’s M&A and operations experience adds leverage during a hold period.
Perficient
A U.S.-based global digital consultancy with teams across the United States, Latin America, and India. Perficient describes itself as an AI-first consultancy and was named among the 11 vendors evaluated in The Forrester Wave for AI Technical Services, Q4 2025, according to its own announcement. Its AI services cover generative AI, machine learning, and intelligent automation, with a 4-to-8-week “AI AMP” program to identify and prioritize use cases. The firm is an AWS Advanced Service Partner, a member of Microsoft’s AI Inner Circle, and a partner of Salesforce and Writer. Perficient’s platform depth makes it a fit for mid-market companies already standardized on Salesforce, Microsoft, or AWS and looking to integrate AI inside those ecosystems rather than across many vendors.
Slalom
A business and technology consulting firm with offices across the United States and in Australia, Canada, Colombia, Germany, Ireland, Japan, Mexico, the Netherlands, New Zealand, Singapore, and the United Kingdom. Slalom’s AI work spans strategy through implementation, including machine learning, generative AI, and intelligent products. The firm works with more than 700 technology partners, including AWS, Google Cloud, Microsoft, Salesforce, and Adobe, and is an OpenAI Advanced Partner. Slalom’s local-market model, where consultants live and work in the city of the client, suits mid-market companies that want on-site collaboration. It is a good fit for companies whose AI integration is tied to a broader cloud or data platform modernization on one of the major hyperscalers, where partner depth shortens the build.
10Pearls
A software engineering and AI firm with offices in the United States, United Kingdom, Latin America, Saudi Arabia, and Pakistan. 10Pearls offers a dedicated enterprise AI integration service that connects AI to a company’s existing technology stack, naming CRM, ERP, and legacy platforms as common targets. Its process runs in five stages: Discover, Pilot, Integration, Validate, and Scale. Industry focus includes healthcare, financial services, retail, manufacturing, and education, and a published case study covers a legacy database migration to Google Cloud. The firm’s engineering-heavy model, with large nearshore and offshore teams, suits mid-market companies that need to extend an integration program at a lower blended rate once the architecture is set. Ask about the mix of U.S. and offshore staff on your specific engagement, and who owns the architecture decisions.
Itransition
A software development and IT services company founded in 1998, with offices including Decatur, Georgia and London. Itransition offers end-to-end AI services from assessment and strategy through deployment and ongoing support, with a focus on data-driven insights, workflow automation, and solutions such as AI agents, chatbots, computer vision, and generative AI. The firm integrates AI with existing environments through APIs and middleware, and runs separate ERP, CRM, and legacy modernization practices that can be combined with AI work. For a mid-market company whose integration project also involves upgrading or replacing an aging system, Itransition’s breadth means one vendor can handle both sides. Its long operating history also matters for buyers who want a stable partner for multi-year support after launch.
Leanware
A software development and AI consultancy that sells AI integration as a defined service for existing systems, starting with a fixed-fee AI readiness assessment that runs two to three weeks. Its process is Assess, Plan the roadmap, Integrate, then Implement and run, with written deliverables at each step: an opportunity map, an integration architecture, and a production integration. Leanware names ERP, CRM, support desks, and document workflows as typical targets, and positions its work as vendor-neutral and not a rip-and-replace. For a mid-market company that wants a bounded first step with a known price before committing to a larger program, the fixed-fee assessment is a practical entry point. Confirm team location and the mix of senior staff before the integration phase.
How to choose among them
Start with the system that matters most. If your biggest opportunity is in the ERP, pick a firm that has integrated AI with that ERP. If it is in customer-facing workflows, pick a firm with CRM and support desk depth.
Then match engagement size to firm size. A $200K integration project at a very large consultancy gets junior attention. At a mid-sized firm it gets senior people.
Decide whether you need agents or integration. If the goal is autonomous multi-step workflows, read our guide to the best agentic AI development companies. Many integration projects start simpler than that.
Ask every finalist three questions. Who will be on the project? What happens when we change AI vendors? Who runs it after launch?
Frequently asked questions
What does an AI integration consultant actually do?
They connect AI to your existing systems and workflows: ERP, CRM, data stores, document systems, and the processes that use them. The work includes architecture, data pipelines, permissions, workflow redesign, testing, and production support.
How is AI integration different from AI development?
AI development builds a new model or application. AI integration makes an AI capability, often an existing one, work inside the systems you already run. Most mid-market projects are integration projects with some custom development attached.
How long does a mid-market AI integration take?
A first production integration typically takes a few months from assessment to launch, depending on data readiness and the systems involved. Firms that offer a short fixed-scope assessment first can give you a firm estimate before you commit.
Should we worry about vendor lock-in?
Yes. Ask for a modular architecture with a model abstraction layer, so you can swap AI vendors without rebuilding the integrations. This is one of the most important questions to ask a prospective firm.
Do we need a data warehouse before integrating AI?
Usually not. Retrieval layers and targeted pipelines can give AI the data it needs without a full warehouse project. A good partner will tell you which data to fix first and which to leave alone.
Working with Xcelacore AI
Xcelacore AI connects AI to the ERP, CRM, data, and legacy systems that mid-market companies already run, using a model-agnostic architecture and senior partners who deliver what they scope. If you want to see how that applies to your sector, start with our AI integration consultants by industry page.
This list reflects our opinion and is presented in no particular order. We included Xcelacore AI because we believe it belongs here, and the other firms because we verified their work and believe they serve mid-market buyers well. Evaluate every firm, including ours, against your own requirements.
