An AI integrator connects an AI use case to existing systems, data, APIs and business processes. Compare providers by architecture, security, testing, production deployment, maintenance and the responsibilities that remain with your team.
The data comes from AIPartnerLens profiles and their public sources. This comparison is neither a rating nor a ranking.
Technology consulting and digital transformation
Unclaimed profile
Commercial profile: Basic
Ippon Technologies presents itself as a digital and technology transformation consultancy focused on its clients’ technical challenges.
Data & AI engineering
Unclaimed profile
Commercial profile: Basic
Euranova presents itself as an AI-engineering provider covering the data journey from foundations through AI solutions.
Data, AI & agentic AI consulting
Unclaimed profile
Commercial profile: Basic
AVISIA presents itself as a consultancy specializing in Data, AI and agentic AI, from strategy through production.
Transformation, data & AI consulting
Unclaimed profile
Commercial profile: Basic
Wavestone presents itself as a strategic and digital transformation consultancy, with an explicit focus on AI transformation.
Management consulting augmented by data science
Unclaimed profile
Commercial profile: Basic
Sia Partners presents itself as a digital-native management consulting firm augmented by data science and creativity.
Data & AI consulting
Unclaimed profile
Commercial profile: Basic
Artefact presents itself as a global data and AI consulting company, with services ranging from strategy through solution deployment.
Technology & AI consulting
Unclaimed profile
Commercial profile: Basic
Devoteam presents itself as a technology consultancy focused on AI, cloud, data and cybersecurity to support organizational transformation.
Data & AI consulting
Unclaimed profile
Commercial profile: Basic
Talan presents itself as a consulting and technology group focused on transformation, data and AI, with a public Data x AI positioning.
Data & AI consulting
Unclaimed profile
Commercial profile: Basic
Onepoint presents itself as a transformation consultancy with public Data & AI expertise covering data offices, data factories, Generative AI and machine learning.
AI consulting & integration
Unclaimed profile
Commercial profile: Basic
Capgemini presents a Data & AI offering focused on transformation, Generative AI, agentic AI, business operations and augmented IT.
Technology, data & AI consulting
Unclaimed profile
Commercial profile: Basic
OCTO Technology presents itself as a technology consulting and delivery firm with public expertise in software engineering, cloud, platforms, data and AI.
Data & AI engineering
Unclaimed profile
Commercial profile: Basic
Theodo highlights Data, Artificial Intelligence and AI Modernization expertise within a product-engineering and digital-systems approach.
Data & AI consulting
Unclaimed profile
Commercial profile: Basic
Micropole is now presented via Talan: the official website states that Micropole has been integrated into the Talan group since May 2024.
Data & AI consulting
Unclaimed profile
Commercial profile: Basic
Axys Consultants presents itself as a management and transformation consultancy with expertise in procurement, finance, digital, data and change management.
Consulting data science, measurement marketing & AI
Unclaimed profile
Commercial profile: Basic
Ekimetrics presents itself as a provider of data science and business AI solutions focused on commercial decision-making, marketing effectiveness and scaling.
Data & AI consulting and engineering
Unclaimed profile
Commercial profile: Basic
Keyrus publicly positions itself as an intelligence architect, with Data & AI services ranging from strategy to engineering and applications.
Consulting, integration & Responsible AI
Unclaimed profile
Commercial profile: Basic
Sopra Steria presents AI as a way to augment employees, combining AI strategy, integration, responsible AI and cybersecurity expertise.
Data, AI, cloud & digital-trust integrator
Unclaimed profile
Commercial profile: Basic
Orange Business presents Data & AI, cloud, cybersecurity and digital trust expertise to support end-to-end AI projects.
Digital Data & AI services
Unclaimed profile
Commercial profile: Basic
Inetum presents itself as a European digital-services leader, with a Data & AI offering structured around moving pilots toward business value.
Data Analytics & AI consulting and integration
Unclaimed profile
Commercial profile: Basic
VISEO offers Data Analytics & AI services covering data strategy, governance, cloud data, data science, machine learning and AI industrialization.
Custom development, automation & AI
Unclaimed profile
Commercial profile: Basic
Genee is a Lyon-based custom software development agency offering business automation, AI agents, RAG, API integration and DevOps industrialization.
Consulting, deployment & AI training
Unclaimed profile
Commercial profile: Basic
SKILLCO presents an offering that combines AI audit, deployment of copilots and automations, creation of internal tools, training programs by business function and engineering e-learning.
Operational automation & AI agents
Unclaimed profile
Commercial profile: Basic
IA4OPS is a Bordeaux-based agency operated by LP Consulting, offering diagnostics, process automation, AI agents, custom development and hands-on training.
AI strategy, engineering & industrialization
Unclaimed profile
Commercial profile: Basic
Kayro presents itself as an applied-AI consultancy connecting strategy, use-case selection, technical build and industrialization through delivery teams embedded with business functions.
Integrator · Software company · Consulting firm
Unclaimed profile
Commercial profile: Basic
Data Players designs AI agents, knowledge bases and interoperable systems based on open-source components.
Integrator · Consulting firm
Unclaimed profile
Commercial profile: Basic
8TECH is an IT provider with an AI offering covering solution design, RAG, deployment, hosting and infrastructure maintenance.
Agency · Consulting firm · Integrator · Training provider
Basic profile · partially reviewed
Commercial profile: Basic
AGI-SO designs, integrates and develops custom AI solutions for microbusinesses, SMBs and mid-market companies, from diagnosis and architecture through deployment, automation and training.
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Request a shortlistThe line between AI integrator, consultancy, agency and data team can be blurred. For a buyer, the useful question is who can deliver in the real technology environment rather than only present an attractive demo.
An integrator becomes particularly relevant when AI must connect to a CRM, ERP, support tool, data platform, knowledge base or business application with clear responsibility for testing, security and maintenance.
These examples help scope a conversation. They do not imply that every provider covers the entire scope.
CRM integration for enrichment, summaries, sales assistance or request prioritization.
Connections to ERPs, support platforms, helpdesks or existing business applications.
Data platforms, knowledge bases or other foundations required for AI use cases.
APIs, connectors or interfaces that expose AI models inside an existing workflow.
Moving an AI prototype into production with testing, monitoring, supervision and maintenance.
Securing access, permissions, logging and human-validation rules.
Industrializing custom AI solutions involving cloud architecture or data engineering.
An AI integrator does more than deliver an interface or a model. Connected systems, acceptance criteria, asset ownership and maintenance responsibility should all be explicit.
| Scope | Starting point | Expected deliverables | Acceptance criteria | Ownership and operations |
|---|---|---|---|---|
| Connect a use case | The business need is identified and target systems are known. | Architecture, connectors, permissions, flows, integration tests and documentation. | Nominal and failure scenarios tested with representative data. | Who owns accounts, secrets, repositories, configurations and access after delivery. |
| Industrialize a prototype | A demo exists but is not yet robust, secure or scalable enough for operations. | Environments, supervision, logging, error handling, load handling and recovery procedure. | Quality, availability, cost-by-volume and failure-behavior criteria. | Responsibility for operations, fixes and changes after production deployment. |
| Prepare the data layer | The use case depends on scattered, poorly documented or hard-to-govern sources. | Access, cleaning, data models, indexing, permissions, quality controls and traceability. | Coverage, freshness, permissions, edge cases and update method are measured. | Who maintains sources, access rules and data quality over time. |
| Maintain the integration | The solution is in use and depends on evolving APIs, models, data and business rules. | Monitoring, support, fixes, updates, cost tracking and incident management. | Service levels, response times, reporting and contract limitations are explicit. | A clear split of responsibilities across the provider, IT, business teams and third-party vendors. |
To scope the engagement, compare audit, POC, MVP and production formats, the AI project budget and AI automation agencies.
Tie every integration to a business outcome and an existing process.
Compare discovery, architecture, development, testing, deployment, documentation and ongoing operations.
Ask for technical references, demos, architecture diagrams and evidence of production deployments.
CRM, ERP, cloud, data platform, APIs and support tools should be understood before a proposal is finalized.
AI integration requires system access, a business sponsor, a technical owner and usable data.
Underestimating security, technical debt, data quality or maintenance can block the project.
Best suited when the company accepts real technical discovery; less suitable if it expects an instant tool without access to its systems.
Define who maintains connectors, prompts, models, monitoring and corrections.
Review permissions, secrets, logs, data isolation and model-usage rules.
AIPartnerLens compares AI integrators by use case, budget, evidence, technical environment, risks, fit and maintenance.
A verified profile can add evidence and clarify the offering. It cannot buy a better editorial recommendation or hide relevant concerns.
Consultants often focus on framing, prioritization and governance. Integrators take more responsibility for technical connections, data, APIs, testing and production deployment.
When the use case must connect to existing tools, data or processes and production robustness matters as much as the demonstration.
They need enough context to understand business rules, exceptions and responsibilities. Strong projects combine technical expertise with sound business discovery.
Data quality, access rights, security, recurring costs, provider dependency, monitoring and post-delivery maintenance.
Yes, but define what it is testing: business value, technical feasibility, data quality or internal adoption. Otherwise the prototype may remain disconnected from production.
Yes, with a shortlist based on your environment, systems to connect, indicative budget and expected maintenance level.
Public sources are displayed on each provider profile. Collection methods, data limitations and independence rules are described in the reference pages. Technical terms are defined in the B2B AI glossary.