AI agencies for businesses: compare capabilities, evidence and budgets
Compare AI agencies that can scope, build and deploy artificial intelligence projects for businesses. AIPartnerLens brings their use cases, public budgets, evidence, tools, integrations, best-fit scenarios and points to clarify into one decision framework before you make contact.
This selection of 5 AI agencies separates delivery teams from generalist consultancies, integrators, software vendors and training providers. Information comes from public sources and should be confirmed directly whenever budgets, team composition or evidence are not published.
Last editorial review: August 19, 2026.
Independent selection
A provider's payment does not determine whether it is included.
Traceable data
Profiles distinguish public sources, provider-supplied information and AIPartnerLens analysis.
Fit before volume
The shortlist focuses on a few comparable providers, not a wall of logos.
Before reviewing profiles, you can prepare a consistent agency evaluation framework and break down the proposal cost structure. For a shorter editorial selection, see the best AI agencies by project need.
Compare AI agencies on the criteria that actually change the decision
The 5 agencies below have publicly described delivery capabilities and were retained for this editorial selection. Use the table as a starting point, then open each profile to verify the context behind the evidence, the limitations and the information that still needs confirmation.
| AI agency | Public use cases | Public budget | Public evidence | Visible best fit |
|---|---|---|---|---|
| Genee | AI agent for email review and routing · RAG and search across an internal document repository · Reconciliation and data-entry automation | Separate public formats: first Make scenario from €3 500 excl. VAT; complete Make program from €8 000 to €25 000 excl. VAT; Make build & run from €1 800/month; MVP Factory from €8 000 excl. VAT on the dedicated page; and an MVP generally around €15 000 on the services page. For business applications, sources diverge: the services page states €30 000 to €150 000, while the homepage shows custom development from €18 000 excl. VAT and its FAQ describes a complete application generally between €15 000 and €80 000. These values are not merged or used to calculate an average; scope and price must be confirmed directly with Genee. | Detailed official website, services page, public client case studies including several anonymized cases, methodology and entry pricing for selected offerings; exact scope, outcomes and comparable references should be confirmed before a decision. | Clearly defined business processes with data and systems identified. |
| IA4OPS | Operations-focused AI diagnostic and roadmap · Automation of reporting, meeting minutes and document workflows · AI agents for customer service or internal teams | Not disclosed | Official website, About page, detailed client case studies, France Num profiles and public testimonials; figures and outcome attribution should be confirmed for comparable cases before engagement. | SMB with clearly documented manual processes. |
| Kayro | AI strategy and portfolio prioritization · Semantic search and Document RAG · Contract, tender and purchase-order processing | Not disclosed | Official website rich in use cases, strategy material, references, named testimonials and current company information; metrics, sample sizes, time periods and Kayro's role should be confirmed project by project. | Leadership team that needs to prioritize a portfolio of AI use cases. |
| Cortex-iA | Automated outreach monitoring · Chatbot and assistant for customer service · Web applications integrating AI features | Not disclosed | Official website, service pages, training programs, About page, case studies and active public registry; displayed outcomes, references, tools and the move toward an agent platform should be confirmed directly. | First AI project for a small organization. |
| Alegria.group | Deployment of custom AI solutions · AI agents integrated into business processes · No-code and low-code business applications | Not disclosed | Official AI-agency, custom-solution and deployment pages with public examples; technical scope, exact role and outcomes of each reference should be confirmed. | Operational training or AI literacy. |
AI agency, automation, integration or consulting: start with the responsibility you need
Market boundaries are blurry. For a fair comparison, connect each need to an expected deliverable and a clear post-production responsibility.
| Need | Profile to compare | Expected deliverable | Decisive question |
|---|---|---|---|
| Automate a repetitive process | AI automation agency | Process map, workflow, connectors, tests, logs and maintenance. | Who handles exceptions and API changes after delivery? |
| Build a custom application or AI agent | AI agency with software development capability | Scoping, prototype, architecture, development, integrations and acceptance testing. | Who owns the code, accounts, documentation and reusable components? |
| Connect AI to the existing IT environment | AI integrator | Architecture, security, migration, integrations, observability and operations. | Does the team actually understand our ERP, CRM, cloud or data environment? |
| Prioritize before building | AI consultant or consultancy | Audit, use cases, roadmap, governance, budget and requirements brief. | Does the deliverable support a decision and allow several delivery partners to be compared? |
To compare providers using the same method, use the AI provider checklist and the AI project budget guide.
Listed AI agencies
This selection is built from public sources describing delivery capabilities such as automation, custom development, agents, RAG, business applications or production deployment. The displayed profiles were unclaimed at the review date; AIPartnerLens has not performed an exhaustive technical audit. No provider can buy inclusion, ordering or a better organic ranking.
Custom development, automation & AI
Genee
Plan: Basic
Genee is a Lyon-based custom software development agency offering business automation, AI agents, RAG, API integration and production-grade DevOps delivery.
- Why this inclusion
- Custom software development, Make automations, AI agents and RAG connected to business tools, with publicly described build and maintenance formats.
- Public data limitations
- Published formats, prices and timelines cover different scopes. Comparable references, team availability and technical capabilities have not been audited by AIPartnerLens.
- Use cases
- AI agent for email review and routing · RAG and search across an internal document repository · Reconciliation and data-entry automation · Custom business applications and internal tools
- Publicly documented tools and skills
- OpenAI · Mistral · Python · Make · Business API
- Public budget
- Separate public formats: first Make scenario from €3 500 excl. VAT; complete Make program from €8 000 to €25 000 excl. VAT; Make build & run from €1 800/month; MVP Factory from €8 000 excl. VAT on the dedicated page; and an MVP generally around €15 000 on the services page. For business applications, sources diverge: the services page states €30 000 to €150 000, while the homepage shows custom development from €18 000 excl. VAT and its FAQ describes a complete application generally between €15 000 and €80 000. These values are not merged or used to calculate an average; scope and price must be confirmed directly with Genee.
- Public evidence
- Detailed official website, services page, public client case studies including several anonymized cases, methodology and entry pricing for selected offerings; exact scope, outcomes and comparable references should be confirmed before a decision.
- Best fit
- Clearly defined business processes with data and systems identified.
- Main point to clarify
- Which published client case study is most comparable to the targeted processes?
Operational automation & AI agents
IA4OPS
Plan: Basic
IA4OPS is a Bordeaux-based agency operated by LP Consulting, offering assessments, process automation, AI agents, custom development and hands-on training.
- Why this inclusion
- Operational assessment, automations and AI agents presented for SMBs, with team support and connections to existing tools.
- Public data limitations
- Budget, availability, architecture and detailed project evidence are not published with enough detail for a technical validation.
- Use cases
- Operations-focused AI diagnostic and roadmap · Automation of reporting, meeting minutes and document workflows · AI agents for customer service or internal teams · Recruitment and HR-process automation
- Publicly documented tools and skills
- AI agents · RPA · API · CRM · Dashboards
- Public budget
- Not disclosed
- Public evidence
- Official website, About page, detailed client case studies, France Num profiles and public testimonials; figures and outcome attribution should be confirmed for comparable cases before engagement.
- Best fit
- SMB with clearly documented manual processes.
- Main point to clarify
- Who delivers the technical work when several areas of expertise are required?
AI strategy, engineering & production deployment
Kayro
Plan: Basic
Kayro presents itself as an applied-AI consultancy connecting strategy, use-case selection, technical build and production deployment through delivery teams embedded with business functions.
- Why this inclusion
- Public positioning as an AI development agency covering strategy, engineering, RAG, agents and production deployment within the client’s IT environment.
- Public data limitations
- The pricing grid is not public, and amounts mentioned in examples are not treated as published rates. References should be assessed against the buyer’s context.
- Use cases
- AI strategy and portfolio prioritization · Semantic search and Document RAG · Contract, tender and purchase-order processing · Support automation, reporting and content production
- Publicly documented tools and skills
- LLM · RAG · Machine learning · Computer vision · OCR
- Public budget
- Not disclosed
- Public evidence
- Official website rich in use cases, strategy material, references, named testimonials and current company information; metrics, sample sizes, time periods and Kayro's role should be confirmed project by project.
- Best fit
- Leadership team that needs to prioritize a portfolio of AI use cases.
- Main point to clarify
- Which referenced project shares the same data, constraints and users?
AI agency, no-code & automation
Cortex-iA
Plan: Basic
Cortex-iA is an agency based near Angers that offers AI applications, chatbots, no-code automation, audits, digital strategy and training programs for freelancers, microbusinesses and SMBs.
- Why this inclusion
- Public AI agency offering that combines automation, business applications, chatbots, no-code and training for some needs of very small businesses and SMBs.
- Public data limitations
- The budget and split between platform, training and custom delivery remain to be confirmed, as do maintenance and integration terms.
- Use cases
- Automated outreach monitoring · Chatbot and assistant for customer service · Web applications integrating AI features · Automated counting from images
- Publicly documented tools and skills
- Generative AI · No-code tools · AI chatbots · Web applications · CRM
- Public budget
- Not disclosed
- Public evidence
- Official website, service pages, training programs, About page, case studies and active public registry; displayed outcomes, references, tools and the move toward an agent platform should be confirmed directly.
- Best fit
- First AI project for a small organization.
- Main point to clarify
- Is the current offering a custom agency service or an agent platform?
AI, no-code & automations
Alegria.group
Plan: Basic
Alegria.group presents an AI-agency offering combining consulting, agents, automations, no-code business applications and deployment of custom solutions.
- Why this inclusion
- Official AI agency and custom-solution pages covering agents, automations, business applications, integrations and deployment into company processes.
- Public data limitations
- The public service mix combines consulting, training, licenses, co-development and delivery. Budget, exact team role and maintenance level must be confirmed for each project.
- Use cases
- Deployment of custom AI solutions · AI agents integrated into business processes · No-code and low-code business applications · Multi-tool automations
- Publicly documented tools and skills
- AI · No-code · Automations · Make · n8n
- Public budget
- Not disclosed
- Public evidence
- Official AI-agency, custom-solution and deployment pages with public examples; technical scope, exact role and outcomes of each reference should be confirmed.
- Best fit
- Operational training or AI literacy.
- Main point to clarify
- Request the exact tools and deliverables.
Which projects can be assigned to an AI agency?
An agency is relevant when a business need must become a tested, usable solution. The engagement may start with a prototype, but the proposal should clarify what is required to reach production.
AI agents
Prepare, check or execute a sequence of tasks using rules, tools and accessible data.
Automation
Connect repetitive steps across email, CRM, documents, spreadsheets, ERP or internal tools.
Document RAG
Query internal documents while linking answers to sources and respecting access rights.
Business applications
Create an interface tailored to a specific process instead of adding a generic assistant for every team.
Internal assistants
Help employees search, summarize, prepare or check information in their work environment.
Customer service
Classify requests, assist agents or automate part of the response process with supervision.
Integrations
Connect models and workflows to CRM, ERP, helpdesk, document repositories or internal APIs.
Prototypes
Test a hypothesis on a limited scope with success criteria and an explicit go/no-go decision.
Production deployment
Secure access, testing, observability, costs, responsibilities and maintenance after the pilot.
Agency, consultant, software vendor or integrator?
These profiles can work on the same project, but their primary responsibility differs. Choosing the right provider type prevents a standard software product, a custom delivery engagement and a scoping study from being compared as if they were equivalent.
The guide AI agency, AI consultant or AI integrator explains the responsibilities, deliverables and situations where several providers may need to work together.
| Profile | Primary role | Relevant page |
|---|---|---|
| AI agency | Scopes and builds a use case, coordinates delivery and may handle integrations, deployment and maintenance. | AI agencies |
| AI consultant | Primarily helps assess, prioritize, govern or choose a direction before a larger delivery engagement. | AI consultants |
| Software vendor | Provides standardized software or a platform whose functions, limitations and costs depend on the product. | AI providers and vendors |
| AI integrator | Connects, deploys and scales solutions in the existing IT environment, with greater emphasis on architecture, security and operations. | AI integrators |
How to compare AI agencies
Use the same framework for every agency and ask for the answers to appear in the proposal or its appendices. A clear proposal separates assumptions, deliverables, dependencies and the costs that remain the client's responsibility.
Business understanding
Ability to restate the problem, users, exceptions and expected decision.
Comparable references
A project similar in process, data, industry, risk level or integration complexity.
Data
Inventory, quality, permissions, preparation, hosting, retention and clearly assigned responsibilities.
Integrations
API access, test environments, technical accounts, dependencies and connector limitations.
Testing and acceptance
Test sets, edge cases, acceptance thresholds, human validation and correction procedure.
Ownership
Code, accounts, workflows, prompts, documentation and usage rights transferred or explicitly licensed.
Security
Secrets management, permissions, logging, subcontractors and handling of sensitive data.
Maintenance
Support scope, response times, model follow-up, fixes and recurring cost.
Exit and handover
Ability to export data, take over the code or transfer operations to another team.
Full budget
Scoping, build, integrations, licenses, models, cloud, training and internal time.
Handover
Documentation, training and operational autonomy left with the team after delivery.
Read public budgets without inventing a market price
Genee publishes several distinct formats: a first Make scenario from €3,500 excl. VAT, a complete program from €8,000 to €25,000 excl. VAT, build & run from €1,800/month, MVP Factory from €8,000 excl. VAT, and an MVP generally around €15,000 on its services page. For business applications, the official sources diverge: the services page shows €30,000 to €150,000 and 3 to 6 months; the homepage shows custom development from €18,000 excl. VAT; and its FAQ describes a complete application generally between €15,000 and €80,000 with a 1 to 3 month timeline. IA4OPS, Kayro, Cortex-iA and Alegria.group do not publish a comparable pricing grid in their AIPartnerLens profiles.
Genee's official sources do not currently show the same ranges. These figures should be clarified before comparing a proposal. They are neither merged nor used to calculate an average; scope and pricing must be confirmed directly with Genee.
Frequently asked questions about AI agencies
How do you choose an AI agency?
Compare its understanding of the need, similar references, testing method, integrations, security, maintenance, exit and handover terms. Use the same evaluation framework for every proposal.
How much does an AI agency cost?
The amount depends on scope, data, the number of integrations, the level of customization and maintenance. AIPartnerLens does not calculate a market average from a small set of heterogeneous public prices.
What is the difference between an AI agency and an AI integrator?
An agency can handle both scoping and delivery of a complete use case. An integrator is more often involved when the core challenge is connecting and operating the solution within an existing IT environment.
Can an AI agency work with an ERP or CRM?
Yes, if it can work with the relevant APIs, access rights, test environments and product constraints. Ask for technical validation before treating the integration as confirmed.
How should you verify an agency’s references?
Ask for the context, deliverable, the agency’s exact role, limitations encountered and the situation after production deployment. A comparable reference is more useful than a long list of logos.
Can an agency pay to rank higher on AIPartnerLens?
No. A company can pay to enrich or maintain its profile, but it cannot buy a better organic position, hide a factual risk or guarantee its inclusion in a shortlist.