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Can your company still ignore generative AI?

Can your company still ignore generative AI?

by | September 3, 2025 | Enterprise AI Adoption, Competitiveness, OpenAI, Surveys

AI in the enterprise: state of play 2025

If you thought generative AI was still an emerging trend, the figures for 2025 will change your mind. ChatGPT is crushing the French market with a 60% share, SME adoption is exploding (+60% in one year), and your competitors are already getting ahead of themselves. But beware: this revolution is creating major divides that must be mastered.

ChatGPT's overwhelming dominance: game over for the competition?

59.2% market share for ChatGPT in France. In other words, when your employees think AI, they think OpenAI. That's 4 times more than Microsoft Copilot (14.4%) and Google Gemini (13.5%)!

This dominance is no accident. The "first-mover" effect combined with a remarkably simple interface has created a user reflex that's almost impossible to break. Your teams learned AI with ChatGPT, and they're continuing to learn with ChatGPT.

But a French surprise emerges: Mistral AI nibbles 6% of the market. Our Paris-based nugget, valued at over 2 billion euros, represents the only hope for digital sovereignty against the American giants. For a French SME, this is strategic: native RGPD compliance, data hosted in Europe, French-language support.

The verdict: diversify your tools, but integrate ChatGPT Teams into your stack. It's become as indispensable as Office was 20 years ago.

The inconvenient truth: your teams are not all equal when it comes to AI

86% of French people know about generative AI, but only 25-45% actually use it. And this average hides a brutal reality for managers.

The generational divide is exploding:

  • 85% of your employees under 25 have already mastered generative AI
  • Only 31% of over-35s use it

A 54-point gap that has widened by a further 17 points in one year!

What does this mean for your SME? Your young talents are already gaining 5-6 hours a week in productivity thanks to AI, while your experienced managers are losing ground. If you don't train your senior staff quickly, you're going to create an unmanageable inverted hierarchy.

Geography also counts: 59% adoption in the Île-de-France region versus 34% in rural areas. If your SME isn't based in a major metropolis, you're already at a competitive disadvantage.

French SMEs: the race to catch up is on

31% of very small businesses are now using generative AI (versus 15% last year). This represents a doubling, but is still 3 points below the European average. France is catching up, without yet dominating.

Winning sectors:

  • Information-communication: 42% adoption rate (+12 points in 1 year)
  • Specialized activities: 17
  • Real estate: 14

Dominant uses:

  1. Content writing (68% of users)
  2. Marketing and sales (28%)
  3. Production processes (27%)

The French paradox: 43% of employees use AI at work, but only 9% of companies provide dedicated tools. The result? Your teams use free ChatGPT with your confidential data. So much for security...

Who your power users are (and why it matters)

Typical profile: male, 18-34 years old, university graduate, executive, Paris region. If this doesn't sound like your entire team, you've got a distribution problem.

Figures that count:

  • Executives use AI 3x more than average (35% weekly)
  • Average gain: 5-6 hours per week for power users
  • 62% of AI-enhanced jobs require a higher education qualification

What it reveals: AI doesn't democratize work, it polarizes it. Skilled employees become supercharged, while others drop out. Your training strategy becomes crucial to avoid an internal fracture.

2024-2025: the year of industrialization

+60% of users in 2024, then +40.6% in 2025. We're no longer experimenting, we're in the midst of mass adoption.

What's new for companies:

  • 52% of users are encouraged by their employer (vs. 23% last year)
  • Professional use explodes: 43% use AI at work
  • But 73% feel "powerless" in the face of these technologies

The moment of truth: your competitors are training their teams while you are "still thinking". How long before they take a definitive lead?

France's position: between catching up and sovereign ambition

France isn't the European leader in adoption (it's in the middle of the pack behind the Scandinavians), but it is becoming the European hub of the AI ecosystem. OpenAI, Google and Meta are setting up their R&D centers in France.

Our advantage: privileged access to the latest technologies + an "innovation-regulation balance" approach that could give us a long-term competitive edge.

The State is investing: €2.5 billion in the National AI Strategy, target 40,000-100,000 AI students/year, "Café IA" program to raise awareness among 2 million French people by 2027.

Your 3 immediate priorities

1. Train your teams (73% feel helpless)

  • Focus on the 35+ age group to avoid the divide
  • Internal AI champions to spread best practices
  • Continuing education, not one-shot

2. Secure your data

  • Stop free ChatGPT with your confidential information
  • ChatGPT Teams minimum for your teams
  • Clear and respected usage policy

3. Prepare your organization

  • Centralized governance of AI tools
  • KPIs to measure ROI right from the start
  • Supporting change to avoid resistance

The Gorillias 90-day action plan

Phase 1 - Audit (10 days)

  • Mapping existing uses (official and wild)
  • Identifying priority use cases
  • Raising awareness among executives and managers
  • Competitive benchmark

Phase 2 - Pilot (15 days)

  • Deployment in 1-2 départements
  • Intensive training for internal champions
  • Installing safety guards
  • Measuring initial gains

Phase 3 - Scale (30 days)

  • Gradual extension to the entire organization
  • Optimizing AI-enhanced workflows
  • AI culture and sharing best practices
  • Continuing education plan

Real ROI: what our customers save

Marketing agency (25 people)

  • +60% productivity boost for content creation
  • +23% additional customer capacity
  • Less stressed teams (fewer thankless tasks)

Industrial SME (80 employees)

  • -70% less time spent on technical documentation
  • Accelerated onboarding of new arrivals
  • Automated competitive intelligence

5 fatal mistakes to avoid

  1. Letting it happen "in anarchy mode" → Centralized governance from J0 onwards
  2. Neglecting training for seniors → Increased support for the over-40s
  3. Aim too high from the outset → Start small, prove, then scaling
  4. Ignore the legal aspects → RGPD audit before deployment
  5. Do not measure ROI → KPIs defined at start-up

Your next step

2025 won't be the year you "think" about AI. It will be the year you deploy it, or the year your competitors take a definitive lead.

The figures are clear: 31% of French SMEs have already taken the plunge, ChatGPT dominates at 60%, and productivity gains are measurable from the very first months.

3 questions to help you decide:

  1. How much does inaction cost? If your competitors earn 5-6h/week and you don't...
  2. Will your young talent stay? 85% of under-25s have mastered AI. Without the right tools, they'll leave.
  3. Is your expertise enough? In 2026, we'll need expertise + AI, not expertise alone.

At Gorillias, we turn hesitators into AI leaders.

Our method: personalized audit → tailor-made strategy → support in the field until autonomy is achieved.

Guaranteed results: ROI measured within the first 3 months, or we continue free of charge.

Ready for action?

Free 30-minute AI audit - Discover your AI potential and your quick wins

► Book my free audit

Sources: IFOP-Talan 2025, Bpifrance Le Lab, INSEE 2024, Gorillias field feedback from 200+ SMEs.

AI agents: what if they finally became strategic?

AI agents: what if they finally became strategic?

by | August 13, 2025 | Enterprise AI, AI Agents, Competitiveness, Productivity, Sovereignty

AI in business: why is everyone talking about it... but so few using it to win?

We read everywhere that AI is exploding in companies. Budgets are soaring, conferences are being held, promises are being made...

But when you scratch the surface, the conclusion is clear: 85% to 90% of AI uses remain ultra-operational. Automating tasks, responding to customers and optimizing the supply chain are all well and good - but transforming corporate strategy? Only 7% of organizations are really taking the plunge.

A real paradox, confirmed by the latest McKinsey, BCG, Eurostat, IBMstudies: 74% of companies have yet to see the color of ROI on their AI investments. Why not? Because we're still stuck on automation, whereas the real revolution may lie elsewhere, in strategic applications.

Operational vs. strategic: why AI is stuck on the first floor

The figures are clear: 60-70% of AI budgets are spent on operational applications.

It's effective, the ROI is guaranteed (6 to 12 months). But for strategic projects, you traditionally have to wait 1 to 3 years... it's cold!

While large companies invest up to $50 million per year, SMEs have to make do with $1,500 per quarter. Under these conditions, it's hard to compete in the field of strategic AI.

Strategic AI: a very exclusive club

According to the MIT CISR, only 7% of companies have truly integrated AI into their strategy. The rest are groping and experimenting, but remain operational.

Why? Because it's complicated. Because it's complicated: you have to transform processes, mobilize teams, invest... and accept a sometimes uncertain ROI.

Add to this cultural resistance ("strategy is human!"), management distrust, and hidden costs (some projects cost 15 times more than expected), and it's easy to understand why 70% of companies fail to put their AI POCs into production.

Competitive intelligence and predictive AI: under-exploited potential

Thepredictive analytics market is worth $18.9 billion and growing at 28% a year. But only 26% of companies derive real value from it.

A case in point: the banking sector. 70% of institutions use prediction... but mainly for fraud, not to anticipate markets. Yet those that dare to integrate AI at a strategic level have seen their revenues rise by 20% in three years.

French SMEs: still in the fight

SMEs can benefit from the AI-Booster initiative, but adoption remains highly tactical. Yet SMEs that integrate AI into their strategy are reporting +22% growth over three years.

But the obstacles are real: lack of skills (33%), data complexity (25%), high costs (21%).

As a result, many remain stuck in basic automation, and the gap with large companies is widening.

2025: when will we see strategic AI?

Trends in 2025? We're making progress, but slowly.

Agentic AI is already here: 25% of companies are expected to deploy AI agents, but only 33% of apps will actually integrate agentic AI by 2028.

Good news: specialized models cost less,multimodal AI andedge computing make AI more accessible.

At Gorillias, strategic AI starts now!

Because we know how to take advantage of the latest AI developments to build tailor-made solutions, we've created strategic AI agents that are affordable and deployable without risk.

Just one example? SonarIQ

Imagine having a strategic analyst who never sleeps, constantly modeling your market's evolution and automatically generating action roadmaps based on quantified scenarios.

SonarIQ revolutionizes strategic decision-making by combining predictive simulation and advanced competitive intelligence. This specialized agent goes far beyond simple competitive intelligence: it simulates complex strategic scenarios (Monte Carlo, multi-variable) to anticipate market trends and test different growth or crisis hypotheses. Unlike conventional analysis tools, SonarIQ generates actionable insights with full traceability of decisions.

As a result, your strategic decisions become more robust and traceable.

Your AI agent in 40 days, from idea to deployment

Our approach transforms your vision into operational reality with a structured method that guarantees success:

  • D0-D15: Diagnosis & strategic design In-depth analysis of your current processes, identification of specific needs and design of the AI architecture best suited to your business.
  • J15-J25: Prototyping & contextual learning Development of the functional prototype and training on your real data for optimal contextual learning. The AI agent progressively understands your business specificities.
  • J25-J35: Integration & comprehensive testing Seamless integration with your existing systems (CRM, marketing platforms, management tools) and exhaustive testing phase to guarantee performance.
  • J35-J40: Deployment & support Production start-up, in-depth team training and personalized support for successful, long-term adoption.

Digital sovereignty and performance: the winning equation

Choosing French AI agents goes beyond mere patriotic considerations. This strategic decision combines economic performance and technological independence in an approach perfectly aligned with current European challenges.

Secure French hosting guarantees absolute protection for your sensitive data while complying with the strictest regulations. Your strategic information, customer bases and business processes remain under European control, in compliance with the RGPD and the European AI Act.

This sovereign approach means no compromise on technical performance. French AI models rival the best international solutions, while offering unrivalled business customization and a detailed understanding of European business issues.

Secure, collaborative management

Our AI agents agents natively integrate advanced collaboration functionalities. Secure sharing of scenarios, collective validation of action plans and full traceability of decisions for auditing or reporting: your teams work in sync with each other, with full visibility of AI recommendations.

This collaborative approach guarantees the alignment of your management committee and facilitates the appropriation of the tools by all your teams. Artificial intelligence becomes a lever for collective performance, rather than an isolated technical tool.

Which AI agent do you dream of for your company?

Book your AI diagnosis

ChatGPT vs Claude: which AI is best for your business?

ChatGPT vs Claude: which AI is best for your business?

by | June 8, 2025 | OpenAI, AI Adoption, AI Agents, Anthropic, ChatGPT, Claude

Wondering which generative AI to choose for your business?
Not easy, given the continuous evolution of models, is it?

Between generalist behemoth OpenAI and challenger Anthropic, how do you make the right choice for your business? We break it all down for you.

2 clashing philosophies

ChatGPT: the power of numbers

OpenAI reigns supreme with 59.2% of the chatbot market and a clear strategy: democratize AI for everyone. Their approach? Make artificial intelligence accessible to as many people as possible, with an intuitive interface and integrations everywhere.

Their strength: 3 million paying users for ChatGPT Enterprise prove that the strategy works. Integration with Microsoft 365 until 2030 guarantees a lasting presence in your everyday tools.

Claude 4: excellence through ethics

Anthropic is playing a different game, with only 3.2% of the market but +52% growth in 16 months. Their bet?Constitutional AI that integrates ethical principles directly into model training.

The difference: Where ChatGPT applies filters after the fact, Claude 4 "thinks ethics" natively. Result: 72.5% success rate on SWE-bench coding benchmarks coding benchmarks, versus 54.6% for GPT-4.1.

How does this question really impact your business?

If you're looking for versatility: ChatGPT remains king

 ChatGPT excels in :

  • Daily communication: emails, presentations, brainstorming

  • Business integration: already in your Office 365 tools

  • Team training: abundant resources and an active community

  • Rapid deployment: up and running in a matter of hours

If you're aiming for professional excellence: Claude 4 transforms everything

Are you wondering which generative AI to choose for your company in a demanding environment? Claude 4 is the answer.

  • Sensitive information compliance RGPD native thanks to constitutional AI

  • Complex reasoning: 45% fewer errors than competitors

  • Software development: cleaner code from the first prompt

  • Document analysis: 75,000 words processed in one session

What impact does this have on your ROI?

Decision matrix based on your profile

Your priority ChatGPT Claude 4 Our advice
Quick start ⭐⭐⭐⭐⭐ ⭐⭐⭐ Getting started with ChatGPT
Precision  ⭐⭐⭐ ⭐⭐⭐⭐⭐ Claude 4 indispensable
Compliance/Ethics ⭐⭐ ⭐⭐⭐⭐⭐ Claude 4 without hesitation
Tight budget ⭐⭐⭐⭐ ⭐⭐⭐⭐ Equality at €20/month

The Gorillias approach: why it's a game-changer

Hybridization solves the dilemma

What if the real answer was a combination of several models?

This is our by-design approach at Gorillias: all our solutions, from GorilliasGenius to GorilliasAgents custom agents, natively integrate several AIs, including Claude and ChatGPT, as well as Mistral AI.

France's competitive edge

While the American giants battle over volumes, 31% of French SMEs are adopting generative AI, according to Bpifrance.

The opportunity? Choose the solution best suited to your specific needs, rather than having to accept the choices made by BigTech.

Your 3-step action plan

Step 1: Identify your usage profile

Wondering which generative AI to choose for your business? Ask yourself the right questions:

  • Are your tasks mainly creative or technical?

  • Do you operate in a regulated environment?

  • Does your team rely heavily on Microsoft tools?

  • Do you prefer rapid deployment or technical excellence? Spoiler: the two are compatible!

Step 2: Test your real-life use cases

  • 30 days minimum for each solution

  • Measuring tangible productivity gains

  • Team training adapted to the tool tested

  • Direct comparison on your typical projects

Step 3: deploy methodically

  • Progressive start-up by team or department

  • Integration into your existing processes

  • Evolution towards hybrid based on feedback from the field

  • Expert support to maximize ROI

Conclusion: the real question

The answer is no longer binary. In a market consolidating around 3-4 major players, the challenge becomes: how do you optimize AI for your specific business?

58% of executives see AI as a matter of survival in the next 3-5 years, according to the Gartner 2024 study.

So the real question is no longer "ChatGPT or Claude 4?" but "How can AI transform my competitive advantage?"

At Gorillias, we 've made up our mind: why choose when you can optimize?

Our hybrid solutions give you the best of both worlds, with the French support that makes all the difference.

Ready to move beyond the dilemma? Find out how to turn this question into a strategic opportunity for your company with our customized AI agents.

5 mistakes SMB marketing managers make with AI (and how to avoid them)

5 mistakes SMB marketing managers make with AI (and how to avoid them)

by | May 23, 2025 | Adoption of AI, AI Agents, Competitiveness, Enterprise AI, Productivity

AI marketing has already radically transformed marketing practices rapidly, and this is just the beginning.

SMEs face a major challenge: how can they take advantage of this technology without falling into the classic traps?

At Gorillias, we work daily with marketing managers looking to modernize their approach while maximizing their ROI.

Here are the most common mistakes we see - and more importantly, how you can avoid them to turn AI into a real competitive advantage.

1. Choose standardized AI solutions unsuited to the specific needs of SMEs

The first mistake is to adopt tools designed for large companies without considering the specific needs of your SME. These solutions, often developed by U.S. technology giants, may seem attractive, but they often turn out to be oversized and unsuitable.

The consequences? Significant hidden costs, excessive complexity and a low adoption rate by your teams. Not to mention data sovereignty issues that can jeopardize your strategic independence.

How to avoid it:

  • Choose solutions developed specifically for French and European SMEs
  • Evaluate the tool's flexibility and ability to adapt to your existing processes
  • Check RGPD and AI Act compliance to ensure your data is secure
  • Choose partners who offer personalized support in your business sector

The right solution will get you up and running quickly, without disrupting the organization of your marketing department.

2. Neglect team training and support for change

The most costly mistake? Investing in AI technology without preparing your teams to use it. All too often, marketing managers underestimate the time needed to adopt these new tools.

The result: internal resistance, chronic under-utilization and a disappointing return on investment. AI then becomes an additional cost rather than a growth lever.

How to avoid it:

  • Involve your teams right from the solution selection phase
  • Plan training for different skill levels
  • Identify internal ambassadors to support deployment
  • Set progressive goals and celebrate small victories
  • Choose a partner who offers support over the long term, not just at the time of installation.

At Gorillias, we've found that SMEs that make a successful transition to AI devote at least 20% of their budget to training and supporting their teams.

3. Focusing solely on automation without a content strategy

Many marketing managers see AI as a simple time-saving automation tool. This reductive view leads to the mass production of generic content that doesn't engage your target audience.

The catch? You risk diluting your brand message and losing authenticity, two essential elements for standing out in a saturated market.

How to avoid it:

  • Develop a clear content strategy before automating it
  • Use AI to personalize your messages rather than standardize them
  • Keep a human eye on generated content
  • Use AI to analyze performance and refine your strategy
  • Combine automation and human creativity for optimum results

AI should amplify your unique voice, not replace it with generic speech. The best results come from well-thought-out human-machine collaboration.

4. Underestimating the importance of data quality

Artificial intelligence is only effective if it is fed with relevant, high-quality data. Yet many SMEs embark on AI projects without first organizing their data assets.

The direct consequence: biased recommendations, erroneous predictions and marketing campaigns that miss the mark. As the saying goes: garbage in, garbage out.

How to avoid it:

  • Audit your marketing data before launching an AI project
  • Set up regular cleaning and enrichment processes
  • Unify your data sources for a 360° view of your customers
  • Clearly define the KPIs you want to improve with AI
  • Invest in data governance tools adapted to your size

An SME with well-structured data will achieve better results with a simple AI solution than a company with sophisticated technology but disorganized data.

5. Seek immediate results without long-term vision

The last, but by no means least, mistake is to approach AI as a miracle solution that will instantly transform your marketing performance. This unrealistic expectation often leads to the premature abandonment of promising projects.

The reality? AI is an investment that gradually pays for itself, and requires constant adjustment to reach its full potential.

How to avoid it:

  • Establish a realistic roadmap with phased objectives
  • Plan phases of experimentation and learning
  • Regularly measure progress and adjust your approach
  • Compare your results with past performance, not with idealized use cases
  • Choose a partner who commits to concrete results rather than technological promises

SMEs that succeed with AI take a step-by-step approach: they start with a high-impact use case, then expand use once initial results are achieved.

How to turn AI into a competitive advantage for your SME

Artificial intelligence represents an unprecedented opportunity for SMEs to compete with players with far greater resources. But this transformation requires a strategic and methodical approach.

At Gorillias, we've developed a 40-day methodology that enables SMB marketing managers to implement AI solutions tailored to their specific needs, without the usual pitfalls:

  • A preliminary analysis of your digital maturity and business objectives
  • Modular solutions to suit your budget and priorities
  • Gradual deployment to match your organization's pace
  • Ongoing support to maximize adoption and results
  • A guarantee of technological independence and data sovereignty

On average, our customers report a 35% increase in qualified leads and a 25% reduction in customer acquisition costs after six months of using our solutions.

 

Do you want to avoid these costly mistakes and turn AI into a real growth lever for your SME?

Contact us to find out how we can support you in this transformation.

CAM: why does it change everything?

CAM: why does it change everything?

by | May 9, 2025 | AI Agents, Anthropic, Competitiveness, Productivity, Sovereignty

The MCP protocol: a revolution that will transform the digital ecosystem in 2025

Imagine a world where your AI assistants perfectly understand your data, interact with all your tools and orchestrate your digital ecosystem effortlessly. It's no longer science fiction - it's the promise of the Model Context Protocol (MCP), and we're at the forefront of this revolution! 

The MCP: the missing link in the AI ecosystem

2025 marks a decisive turning point in the history of artificial intelligence. While language models (LLMs) such as Claude or GPT already impress us with their reasoning capabilities, they still face a major obstacle: their difficulty in efficiently accessing our data and interacting with our business tools.

It's precisely this gap that the Model Context Protocol (MCP), launched by Anthropic at the end of 2024 and rapidly gaining acceptance in early 2025, is designed to bridge. But what exactly is MCP?

MCP is an open standard that revolutionizes the way AI models communicate with the outside world. Think of it as the "universal USB port of AI" - a protocol that standardizes connections between intelligent assistants and all the tools, data and services they need to support you effectively.

Why MCP is radically transforming our approach to AI

The emergence of the MCP solves a fundamental problem that was holding back the mass adoption of AI in the enterprise: the fragmentation of integrations. Until now, connecting an AI model to each tool required specific and costly developments, creating a real technical headache and seriously limiting the potential of these technologies.

The MCP changes the game completely by proposing a radically different approach:

  • A universal language: It establishes a standardized protocol enabling any AI model to communicate with any compatible data source or tool.
  • Modular architecture: based on three components (MCP servers, MCP clients and hosts), it simplifies integration considerably.
  • An open, collaborative approach: as an open standard, MCP encourages innovation and the emergence of a rich ecosystem of connectors.

And the results are already impressive! The MCP ecosystem is growing at breakneck speed, with over 250 servers available by early 2025, covering a wide range of services, from collaborative platforms like GitHub or Slack to specialized business tools. 

The three pillars of MCP's strength

What sets MCP apart from previous attempts at AI integration is its elegant and efficient structure, based on three essential components:

1. MCP servers: universal translators

MCP servers are lightweight programs that display the functionality of your tools and data in a standardized format. Each MCP server specializes in a specific area: access to your documents, interaction with your CRM, connection to your database...

In concrete terms, these servers transform any resource into a format that all MCP-compatible AI models can understand and use. It's as if every tool in your ecosystem suddenly learned to speak the same language as your AI assistant! 

2. MCP customers: intelligent interpreters

Integrated with AI models, MCP clients enable them to discover and use the capabilities offered by MCP servers. They facilitate this essential two-way communication, where AI can not only obtain information but also trigger actions.

This capability fundamentally transforms AI from a simple conversational tool into a true assistant capable of acting on your digital ecosystem. Imagine asking your assistant to analyze the latest sales trends and automatically create an appropriate marketing campaign - all in one fluid conversation! 

3. MCP hosts: runtime environments

Hosts are the applications that integrate both AI models and MCP clients. They serve as the runtime environments where the magic happens. Claude Desktop, Cursor, and many other environments are rapidly adopting this technology, creating seamless and powerful user experiences.

How MCP transforms your business

The impact of MCP on your organization goes far beyond mere technical improvement. It's a profound transformation that touches every aspect of your digital ecosystem. Here's how:

Democratizing access to data and tools

Gone are the days when only a few experts could fully exploit your data! The MCP enables every employee to interact with your information systems via a natural language interface. Your accountant can ask the AI about the latest sales figures, your marketing team can analyze customer trends, and your customer service department has instant access to the complete history of interactions.

This democratization unleashes immense potential, enabling everyone to fully exploit the company's digital resources. 

Intelligent automation at every level

MCP lets you build a new generation of automated workflows. Instead of rigid sequences of predefined actions, your automations become intelligent and adaptive, capable of:

  • Understand the global context of a situation
  • Choosing the right tools to solve a problem
  • Adapting to exceptions and special cases
  • Learning and improving over time

Imagine self-optimizing business processes, drastically reducing repetitive tasks while improving the quality of decisions! 

Unprecedented scalability

MCP's modular approach radically changes your ability to evolve your digital ecosystem:

  • Add a new data source? Simply create a new MCP server to expose it using the standard protocol.
  • Need a new tool? Integrate an existing MCP server or quickly develop your own.
  • Want to change your AI supplier? All MCP-compatible models will be able to access your ecosystem without major reintegration.

This flexibility preserves your investments and frees you from technological dependencies, allowing you to evolve at the pace of your business needs, not your technical constraints. 

The MCP in action: use cases that are transforming businesses

The practical applications of MCP are as diverse as they are promising. Here are a few particularly inspiring examples:

Marketing augmented by contextual AI

Imagine an AI assistant capable of analyzing real-time data from your CRM, advertising campaigns and market trends to generate personalized strategic recommendations. Thanks to MCP, your marketing team can now :

  • Analyze the effectiveness of past campaigns in unprecedented depth
  • Identify the most promising customer segments by combining multiple data sources
  • Create and test creative concepts based on data insights
  • Optimize marketing ROI in real time

This augmented intelligence transforms marketing decision-making, moving from intuition to a truly data-driven approach without sacrificing human creativity. 

Total knowledge customer service

The MCP allows you to build customer assistants who have access to your entire information ecosystem: customer history, knowledge base, order status, sales policy...

This 360° knowledge combined with LLM intelligence creates a radically new experience:

  • Immediate resolution of 90% of even the most complex customer queries
  • Advanced personalization of responses based on the customer's complete history
  • Proactive anticipation of future customer needs
  • Fluid transmission to human agents with full context when necessary

The result? Dramatically improved customer satisfaction and significantly lower operating costs. 

Collaborative product innovation

MCP is also revolutionizing the way product teams collaborate and innovate. By simultaneously connecting your project management tools, code repositories, user data and design systems, it creates an environment where AI becomes a true catalyst for innovation:

  • Continuous analysis of user feedback to identify opportunities for improvement
  • Generate product specifications based on actual usage trends
  • Rapid prototyping with automatic code and design generation
  • Real-time documentation that is always synchronized with the product

This approach drastically accelerates development cycles while improving alignment between user needs and product evolution. 💫

The Gorillias approach: exploiting the full potential of MCP

At Gorillias, we're convinced that MCP represents a major strategic opportunity for all companies wishing to take full advantage of AI. Our unique approach combines technical expertise and business vision to help you exploit this potential:

A strategy of gradual, targeted adoption

Rather than an abrupt transformation, we favor a step-by-step approach, identifying the areas where MCP will generate the most immediate value for your organization:

  1. MCP maturity assessment: Analysis of your digital ecosystem and identification of priority opportunities
  2. Targeted Proof of Concept: Rapid implementation on a high-impact use case to demonstrate value
  3. Gradual roll-out: methodical extension to other areas according to a roadmap aligned with your business priorities
  4. Industrialization: Implementation of best practices, governance and skills development for your teams

This pragmatic approach guarantees tangible results at every stage, while minimizing risk and disruption. 

Industry-specific MCP connectors

Our team has developed a library of specialized MCP connectors, designed specifically for the needs of different business functions:

  • Finance: Connectors for your ERP, reporting tools, and financial management systems
  • Marketing: Integration with your marketing, analytics and CRM platforms
  • Operations: Connection to your supply chain, logistics and resource management systems
  • HR: Interfaces with your HRIS, recruitment tools and training platforms
  • Innovation: Liaison with your R&D environments, patent databases and technology watch

These ready-to-use connectors considerably speed up your adoption of MCP, while respecting the specific features of your business. 

A vision of digital independence and sovereignty

True to our philosophy, we have designed our MCP offering with technological independence in mind:

  • Open architecture allowing you to use the AI model of your choice
  • Hosting on your own infrastructure for total data sovereignty
  • Skills transfer to ensure your long-term autonomy
  • Hybrid approach combining SaaS solutions and on-premise components according to your requirements

This flexibility allows you to adopt MCP without compromising your overall digital strategy. 

The future is already here: are you ready to seize it?

The Model Context Protocol is not just another technological innovation - it's the missing link that will enable AI to finally deliver on its promise in the enterprise. We are at the dawn of a profound transformation, where the boundaries between our different systems are blurring to create a truly intelligent and connected digital ecosystem.

Companies that are quick to adopt this approach will enjoy a considerable competitive advantage: tenfold operational efficiency, reinvented customer experience, unprecedented capacity for innovation.

At Gorillias, we're at the heart of this revolution and look forward to accompanying you on this transformational journey. 

 

Would you like to explore how MCP can transform your digital ecosystem?

Contact our experts today for a personalized assessment.