
AI agents: what if they finally became strategic?
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.
An example? GorilliasIQ
Imagine having a strategic analyst who never sleeps, constantly modeling your market's evolution and automatically generating action roadmaps based on quantified scenarios.
Gorillias IQ 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, Gorillias IQ 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.