Artificial Intelligence (AI) Consulting Firm
As a consulting firm, iQo places AI at the heart of its business model.
Understanding all the challenges of AI today, while providing our clients with the right AI tools, is at the heart of our approach.
Companies that know how to use AI efficiently will be the big winners! Being an AI consulting firm means placing AI at the heart of a hybrid consulting approach to deliver concrete, results-driven solutions.
AI Consulting Firm: Our Methods and Tools
We give our consultants and clients a head start. iQo is a pioneer in the use of AI for consulting. We develop and offer AI tools designed to accelerate analysis, uncover new strategic opportunities, and drive operational transformation.
AiQo Search / Dimple
AiQo Search / Dimple
An exclusive AI-powered market intelligence platform.
By synthesizing vast datasets (websites, research publications, forums, etc.), our solution provides clear, concise, and forward-looking market and competitive analyses, enabling a deep understanding of economic environments.
- Robust OSINT methodology: Systematic collection of real-time data from various sources—news media, social media, research publications, and open forums.
- Advanced RAG (Retrieval Augmented Generation) algorithms:
Convert vast amounts of data into precise, forward-looking analyses, capturing key market signals and competitor activities with scientific precision. - Informed, data-driven decisions: integrating internal and external datasets to enable rapid, fact-based decision-making—essential for navigating complex business environments.
Uncompromising data security: Operate in a fully secure environment with strict adherence to confidentiality protocols, enabling you to conduct research and analysis with complete confidence.
Insight Studio by iQo
Insight Studio by iQo
Insight Studio by iQo is our research and strategic intelligence center, offering:
- Competitive Intelligence and Marketing
- Trends, Outlook, and Analysis
It is designed to inform, enlighten, and inspire our clients as they undergo transformation, pursue innovation, and explore new strategic horizons.
Our studio is made up of AI and data science specialists, prompt engineers, research and intelligence analysts, and customer insight managers.
AI Customer Engagement
AI Customer Engagement
Our experts in marketing and customer experience supportthe transformation of customer relations by integrating AI into tools, processes, and culture to improve the effectiveness of these initiatives.
- Automated processing: chatbots, voicebots
- Automation of Back-Office Tasks: Report Generation and Database Integration
- Support for Customer Service Representatives: Generating Suggested Responses, Document Intelligence, Next Best Action
- Quality Management: Quality Monitoring & Insights, Voice of the Customer Analysis
LLM for Contract Management
LLM for Contract Management
Beyond simply choosing solutions, iQo helps you integrate AI into use cases that are relevant to contract management and your business lines:
- Contract Analysis: Extract Data from Contracts and Key Terms and Conditions
- Portfolio Dispersion Analysis: Analyze the portfolio of contracts and group or categorize them
- Contract Drafting Support: Assisting with and Automating the Drafting of Contracts in Accordance with Internal Guidelines
- Contract Review: Facilitate contract "markup" by highlighting inconsistencies, errors, or missing elements and suggesting relevant content
- Risk Analysis: Evaluate contracts to identify potential risks and/or compliance issues in relation to internal standards (standard clauses, rules, etc.)
- Portfolio Standardization: Analyze large volumes of contracts to identify trends, understand distortions, etc.
AI Readiness Dashboard
AI Readiness Dashboard
The AI Readiness Dashboard is a strategic tool offered by iQo that enables organizations to manage the integration of AI within the company; it is managed by the IT department.
It provides a clear assessment of your company’s preparations and offers aroadmap and insights for addressing areas that need improvement.
AI Cognitive Factory
AI Cognitive Factory
The Cognitive Factory acts as a facilitator in identifying and operationalizing business use cases that incorporate AI.
- Definition of the Cognitive Factory Model
- Definition of Cognitive Factory Governance
- Identification of Business Use Cases
- Deployment of High-Performance AI Models
- Measuring Success and Supporting Change
- Communication and Visibility (Internal and External)
From identification to deployment, the Cognitive Factory team manages the entire project lifecycle. It also serves as a thought leader, helping to foster an AI culture internally and enhance the company’s reputation externally.
Prompt Store
Prompt Store
PromptStore is the central hub within iQo dedicated to generative AI applications.
It is an environment designed to make AI accessible, practical, and immediately operational for every employee.
Each resource is organized by topic, type of deliverable, and use case to help consultants find the right prompt in just a few seconds.
The content is standardized to ensure the clarity, reliability, and reproducibility of the results.
PromptStore has a simple mission: to turn AI into a tool for greater efficiency for everyone, regardless of their level of expertise.
It allows you to:
- speed up the production of deliverables
- improve the quality and consistency of analyses
- spread best practices in AI throughout the firm
- capitalize on feedback from the field
The platform is constantly evolving thanks to contributions from the teams.
Our AI Consulting Experts
At iQo, as a consulting firm, we leverage data and AI as strategic tools to accelerate business transformation and performance. Thanks to our consultants, who are trained in AI tools, and our proprietary technology assets, we deliver high-value-added solutions tailored to our clients’ challenges.
Our Core Beliefs as a Consulting Firm Specializing in AI
1. AI FOR ITS VALUE, NOT FOR ITS TECHNOLOGY
Companies that successfully deploy AI do not focus on the technology itself, but rather on use cases that have a clear and tangible business impact (cost reduction, improved customer experience, operational optimization, etc.).
2. AI THAT SUPPORTS BUSINESS FUNCTIONS AND ADVANCES STRATEGY
A dual bottom-up/top-down approach must be used to ensure the effective and ROI-driven deployment of AI. Business units must be involved from the outset to collaboratively develop use cases, which must then be prioritized based on their alignment with the group’s strategic priorities.
3. PEOPLE AT THE HEART OF THE ROLLOUT
AI is fundamentally changing the way we work; its impact is therefore directly linked to its adoption, which requires strong buy-in from teams.
Training, supporting, and reassuring employees is essential to minimize resistance and maximize the effectiveness of AI tools.
4. THE NEED FOR ORGANIZATIONAL AGILITY
Data and AI are inherently cross-functional topics because they lie at the intersection of several areas of expertise (IT, Data/AI, business units, etc.). Their implementation requires an organizational structure that breaks down silos and facilitates seamless cross-departmental collaboration.5. NO VALUE IS CREATED WITHOUT FIRST-PARTY DATA
Although the saying “Sh*t in, sh*t out” is now widely known, too few companies have a clear strategy for data governance. Yet data governance is a fundamental prerequisite for creating value through AI.Our AI consulting services
: Customized and Results-Driven
We provide concrete solutions to business questions and challenges by leveraging modeling, internal and external data, and artificial intelligence.
Explore Data & AI
- Defining the Strategy
- Maturity Audit (AI Readiness and AI Flash Diagnostic)
- Development of a Target Operating Model
- Identifying AI x Business Use Cases (AI Cognitive Factory)
- Designing a Roadmap
Data & Tech Foundations
- Establishing Data Governance
- Designing the appropriate technological foundation for specific use cases (data platform, pipelines, etc.)
- Ethical and Regulatory Assessment and Compliance
AI Adoption
- Defining the Change Strategy
- Change Management Support (training, communication, etc.)
- AI and IAGen Onboarding for Employees
- Establishment of AI Adoption Governance (Ambassadors, Liaisons, etc.)
Analytics & AI Insights
- Data collection, analysis, and consolidation (web scraping, data integration, data visualization)
- Identifying trends and business insights through data mining (classical AI) by integrating open data
- Development of decision-making dashboards based on a variety of data sources, capable of integrating predictive models.
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Propensity/churn scoring, advanced segmentation, product recommendations…
Data & AI Transformation
- Conducting POCs to demonstrate the value of use cases
- MVP Developments Ready for Rollout
- Structuring the Data Product Approach
- Agile Coaching
- Support for Scaling Up
What if your job and your industry were transformed by AI?
By placing AI at the heart of our business model and our consulting approach, we help organizations and business units move beyond the hype to implement high-value-added, sustainable, and scalable projects.
AI and Customer Relations
Our guide to understanding how AI is fundamentally transforming the customer experience and significantly improving the efficiency of Customer Service and Customer Relations.
The Impact of AI on Procurement
The Transformation of Contract Management by AI
The emergence of generative AI is generating as much excitement as it is raising questions in many fields… including Contract Management.
The IT Department in the Age of AI
Between the proliferation of external AI solutions and the need to maintain control over the information system, CIOs face a strategic choice
AI for Franchise Networks
iQo provides concrete solutions to business questions and challenges by leveraging modeling, data, and AI.
Learn about AI challenges and tools for your industry
A training course offered by our experts at Tech for Business to help you master AI and the orchestration of AI agents by understanding the value they bring to your business.
A consulting firm that trains 100% of its consultants in AI
- Certification program in partnership with the Albert School: focusing on the technical, regulatory, ethical, and security challenges of AI. The Albert School is the first business school in France to give AI and data the attention they deserve.
- Training courses focused on the challenges of prompt engineering, generative AI, data crunching, and data management
- iQonité AI Conferences: Every month, we host presentations by external experts who share their insights and experiences
- AI Sessions: Our iQers participate in internal discussions to present our latest AI features, share feedback from projects, and discuss partnerships.
Our partner ecosystem
, to support AI transformation
Startups, software providers, universities, institutions, accelerators… iQo, a strategy and transformation consulting firm, has forged partnerships with organizations at the heart of the AI revolution. This ecosystem enables us to accelerate the delivery of our projects and deepen our expertise and knowledge of various sectors. We take an open, agnostic, and pragmatic approach to technology and AI.
Recent Publications - AI from a Consulting Firm's Perspective
With artificial intelligence, social dialogue must take on a new dimension
“Will I still be needed?” Many employees have been asking themselves this question since artificial intelligence became part of their daily work lives. It reflects a deep-seated fear of losing one’s job. It
AI and Edge Computing: What Changes Will This Bring to Information Systems?
AI significantly boosts the appeal of edge computing. The more use cases become real-time, embedded, or autonomous, the more critical latency, network dependency, and local continuity become. Summary: AI and edge computing are transforming information system architectures.
Shadow AI: How Can We Avoid Repeating Past Mistakes?
The advent of generative artificial intelligence has sparked an unprecedented revolution in individual productivity. However, this rapid adoption is accompanied by a phenomenon well known to CIOs: Shadow AI. Just like Shadow IT in its day, employees
AI and Ethics: We Must Build a Humanistic AI
Since the emergence of generative artificial intelligence, public debate has swung between fascination and concern. Will humans outperform it, or will they simply be replaced? This dichotomy can and must be overcome. Read the article by our expert Carine Fotso, partner at iQo and expert in the field.
AI doesn't vote… but it's already influencing those who do
With one year to go before the presidential election, the question is no longer whether AI will influence the democratic debate, but to what extent. We are gradually entering a battle of algorithms—and no longer just of ideas. Read the article by our expert, Carine
Can artificial intelligence (AI) become a public good?
Artificial Intelligence (AI) has become the invisible driving force behind our digital and professional lives. Its widespread adoption today raises a fundamental question: Should AI become a public good? AI should not be an end in itself,
Agent-Based AI, from Prototype to Industrialization: Summary of the iQo x SYNIA Conference
Today, agent-based AI enables companies to take a major step forward in implementing new applications across their various business lines. It allows employees to delegate part of their work to automated assistants that act
The CIO of Tomorrow: Architect of an Agent-Based Information System or Manager of AI Vendors?
Who will be tomorrow’s CIO? The same questions often come up among CIOs: “Should I build a custom solution or buy off-the-shelf software?” What appears to be a purchasing decision actually hides
Embedding Generative AI in Practices for the Long Term: Why Usage Matters More Than Technology
Generative AI creates value when it is embedded in business practices. Discover how to establish sustainable, value-driven use cases within your organization. Summary: Artificial intelligence has never been more accessible. With just a few clicks, anyone can now generate a
Agent-Based AI: How AI Agents Are Revolutionizing Automation and Governance
We are now entering a new era: that of agent-based AI. We are moving from AI that “talks” to AI that “acts.” This transition is not limited to a simple software update; it requires a
AI Assistant vs. AI Agent: Understanding the Shift Toward an Agent-Based Enterprise
AI assistant or AI agent? Discover the practical differences between them, their uses in business, and how to successfully transition to a well-managed agent-based organization. Summary: Used as co-pilots, AI assistants improve individual productivity by helping with writing, analyzing
How is Generative AI transforming the Procurement function?
Together with the National Council of Procurement, in partnership with Flowie, we hosted a webinar on the impact of generative AI on the Procurement function. Read the summary of our discussion to learn how generative AI has already transformed the
Successfully Scaling Your AI Projects
These days, scaling up is the watchword for every Artificial Intelligence initiative. Indeed, the value proposition offered by this technology is driving stakeholders to accelerate the deployment of proof-of-concepts (POCs). However, industrialization
Enhanced Customer Relations: Putting Voice AI to the Test of Authenticity
Voice technologies (accent neutralization, voice cloning, empathetic AI, etc.) aim to create a seamless and “neutral” customer relationship. But by constantly smoothing out the rough edges, aren’t we at risk of stripping the relationship of its authenticity? What if, instead
Opening up data assets with an AI agent: challenges and steps
While it may seem like a long way to go before you can deploy an AgentAI on your data assets, many companies already have sufficient assets, but they are often poorly organized, poorly known and under-exploited. Data governance practices
12 human biases in Generative AI to understand and master
Generative AI has many biases, not the least of which are human biases. Our Data & AI experts can help you understand and master the biases of Generative AI. Contents What are the risks of
