TL;DR: Most enterprise AI value depends on connecting models to systems you already run. This list compares 10 AI integration companies in the USA on legacy connectivity, agent controls, pricing transparency and the size of buyer each serves best.
AI integration companies connect AI models, agents and assistants to an organization's existing applications, data and workflows, such as ERP, CRM, document stores and legacy databases, so AI can read context and act safely inside real processes.
Ranking criteria and disclosure: LuMay publishes this list and is ranked in it. We ranked on legacy-system integration options, agent permissions and audit controls, published entry pricing, deployment flexibility and buyer fit. No company paid for placement.
Quick Answer: LuMay ranks first on our criteria because it publishes a $25,000 pilot entry point and lists legacy-system and agent integration services with defined permissions. IBM Consulting, Accenture and Deloitte suit large global programs. RTS Labs and LeewayHertz suit mid-market custom integration.
What AI Integration Work Actually Involves
- Connecting data
- Read access to ERP, CRM, files and databases
- Retrieval with permissions so users only see what they are allowed to
- Read access to ERP, CRM, files and databases
- Connecting actions
- APIs, middleware, RPA or protocols such as MCP
- Human approval for high-impact steps
- Operating it
- Monitoring, audit trails and model updates
The Model Context Protocol describes itself as an open-source standard for connecting AI applications to external systems. Ask providers whether they use it, and how they secure it.
AI Integration Companies in the USA: Comparison Table
| Provider | Focus | Best for | Pricing signal |
|---|---|---|---|
| LuMay | Enterprise and legacy-system AI integration | Mid-market and enterprise teams wanting a priced pilot | Pilot from $25,000 |
| IBM Consulting | Enterprise AI transformation | Large enterprises | Not published |
| Accenture | Global AI and digital transformation | Global enterprises | Not published |
| Deloitte | AI engineering, infrastructure and governance | Large and regulated organizations | Not published |
| Cognizant | Production-scale enterprise AI | Large enterprises | Not published |
| Slalom | Cloud and AI consulting | Enterprises on Google Cloud, AWS or Azure | Not published |
| Thoughtworks | Software engineering and legacy modernization | Engineering-led organizations | Not published |
| Quantiphi | AI and data engineering | Data-heavy enterprises | Not published |
| RTS Labs | Custom AI integration | Mid-market businesses | Not published |
| LeewayHertz | Custom AI applications and agents | Startups and enterprises | Not published |
The 10 Best AI Integration Companies, Ranked
1. LuMay
LuMay's AI integration services list 10 services, including AI agent integration and legacy-system integration through custom connectors, middleware, RPA or secure database access.
Agents carry out multi-step tasks with defined permissions, audit trails and human approval. The Custom AI page lists ERP, SQL, SharePoint, files and APIs as sources, with pilots from $25,000.
- Best for: connecting AI to existing systems without a multi-year program
- Watch: smaller bench than global integrators
2. IBM Consulting
IBM Consulting is listed by WebClues for enterprise AI transformation covering agentic AI, data, governance, cloud and workflow integration.
- Best for: large enterprises scaling agentic AI across processes
3. Accenture
Accenture emphasizes moving AI from pilots into real workflows using data, automation and agentic platforms, per the same WebClues review.
- Best for: global, multi-function transformation
4. Deloitte
Deloitte covers AI engineering, infrastructure, data and risk, which suits large and regulated organizations.
- Best for: programs where governance and risk lead
5. Cognizant
Cognizant focuses on production-scale enterprise AI, including agentic AI, data modernization and AI governance.
- Best for: large enterprises modernizing data alongside AI
6. Slalom
Slalom announced it won a 2025 Google Cloud AI Partner of the Year award for public sector, and works across major clouds.
- Best for: cloud-centered AI integration
7. Thoughtworks
Thoughtworks works with AWS, Google Cloud, Microsoft Azure, Databricks and Snowflake, and publishes work on modernizing legacy systems for AI.
- Best for: legacy modernization before AI integration
8. Quantiphi
Quantiphi is an AI and data engineering firm suited to data-heavy integration projects.
- Best for: data platform and ML integration
9. RTS Labs
RTS Labs is listed for custom AI integration covering AI agents, GenAI, data engineering and APIs for mid-market businesses.
- Best for: mid-market API and data integration
10. LeewayHertz
LeewayHertz builds custom AI applications and agents, with integration and deployment, for startups and enterprises.
- Best for: flexible team-extension models
How to Scope an AI Integration Project
- Systems
- List every system the AI reads from and writes to
- Access
- Map existing roles to AI permissions before building
- Approach
- Custom connectors, iPaaS, RPA or protocol-based
- Compare in custom AI connectors vs iPaaS
- Custom connectors, iPaaS, RPA or protocol-based
- Proof
- One workflow, one measure, fixed pilot scope
For older platforms, read AI integration requirements for legacy enterprise systems and enterprise integration platforms for AI, ERP and CRM.
Next Step
Need AI connected to systems you already run? Book a LuMay demo to scope an integration pilot.
