We identify the problem, co-create the strategy and build the AI solution — working together with your team.
What value it has to generate, for whom, and why. Without that clarity, things get built from imagination — without properly communicating why they will impact the result.
The product is designed on hypotheses about how customers and teams work. Implementation proves those hypotheses wrong. By then, the whole budget is spent.
Nobody accompanies the transformation: the processes that change, the ways of working that shift, the resistance that appears. The system is ready. The team resists and keeps doing what it always did.
Continuous, applied strategy support.
We don't deliver a plan. And we don't follow a brief to build software.
Every week we help you strategically prioritize where to act. We develop week by week, test with the team and adjust based on what the operation demands. Every initiative has to prove it delivers concrete value: operational efficiency, more sales, differentiation or risk reduction. If the hypotheses don't hold, we change direction. If it delivers, we scale it.
Together with your organization we choose the AI models (LLMs), systems and architecture that prioritize your data security and respect your policies.
We define which initiative generates the most value in the coming week. Not the most urgent — the one with the biggest impact.
We develop what was prioritized in short cycles. Something concrete working at the end of every week.
We test it with the real team, in the real operation. Practice is the only test that matters.
What the operation shows guides the adjustment. We stay until the team makes it their own.
A different working model produces different results.
Real examples of the kind of platforms, assistants and agents we put into production.
Real-time KPIs, key metric trends and automatic alerts connected to your business data sources — no spreadsheet exports.
Orders, inventory, logistics and finance in one system — replacing the spreadsheets and centralizing daily operations and business numbers in real time.
A chat trained on your business documentation. It answers with exact citations, verified sources and your own context — available 24/7.
A training portal with built-in AI, progress tracking and a Q&A assistant — turning training into measurable experiences.
An agent that produces, adapts and publishes content across languages and platforms autonomously. No human intervention in 98% of the flow.
Processes that used to take hours now run on their own: document classification, reports, system integrations and automatic replies.
Three examples of how we work in practice.
There is no standard solution. We detect and build what your company needs, tailored.
They replace spreadsheets and manual processes. Your operation centralized, in real time.
They work on their own: handling inquiries, qualifying leads, processing orders, running internal workflows without human intervention.
Invoice verification, document generation, alerts on deviations — workflows a person does today that can run on their own.
Your data turned into decisions. Working capital, management indicators, commercial performance — visible in real time.
We connect the systems you already use. Without replacing what works, adding what's missing.
CRM, lead qualification, automated prospecting and pipeline tracking designed for each company's real process.
One of the most powerful tools we prioritize and build. An AI agent is not a chatbot. It is a collaborator that receives context, reasons, proposes and executes — without anyone having to watch.
It's not theory: Scalabl® runs as a hybrid company, with more than 50 AI agents of its own working alongside its human team. We don't propose something we don't use — we build for your company what we live every day.
They answer inquiries, qualify leads and process orders in natural language, 24/7.
They run internal workflows, update records, coordinate tasks across systems without manual intervention.
They read data, detect patterns, raise alerts before the problem escalates.
They accompany the team through complex processes, documenting automatically.
The biggest result doesn't come from replacing people. It comes from designing how to amplify the joint work. The agent takes the volume and the consistency. The human team focuses on judgment, relationships and the decisions that matter.
| Before | After |
|---|---|
| People answering the same questions all day | The agent handles 80% · the team steps in where real judgment is needed |
| Average response time: hours | Immediate, 24/7 |
| Information scattered across chats and emails | Automatic, structured, auditable records |
We design the complete system: who does what, when the agent escalates to a human, how the result is measured.
The first step is understanding what is happening in your operation. In a 30-minute conversation we evaluate whether there is an opportunity and how to approach the work together. If it makes sense, we start with a contained first month: we set priorities, build something concrete and measure the result.
More than 500 companies, universities and public organizations in more than 50 countries.
Specialists in business strategy, innovation and agentic AI development. Design and implementation.
Economist and MBA with executive education at Harvard, MIT, Stanford, Chicago, Kellogg, INSEAD and Singularity. LinkedIn Top Voice. Forbes named him "The Startup Hacker". Co-founder of more than 50 companies, focused on strategy, business models, artificial intelligence and agentic management.
Specialists in business strategy, innovation and agentic AI development. Design and implementation.
What our strategy consulting plus AI development engagement looks like: how it works and what can be achieved. Not a plan or a training course: we identify the problem, co-create the strategy and build the solution.
A consulting-plus-AI-development engagement to transform your company's operation: we identify the problem, co-create the strategy and develop and implement the solution — real software with AI, agents and automations — integrated with your team, week by week. It is not a training course or a report with recommendations: we build and put it to work.
For companies that want to truly transform their operation with AI. We work with two profiles: SMEs from 10 employees — our main focus — and multinationals. What defines the fit is not size, but having a business problem worth solving with AI.
No. The work is done together with your team and does not require you to know how to code or have a technical department. The challenge we solve is not technical but business: what to transform, in what order of priority, and how to get the team to adopt it. We take care of designing the software, the automations and the agents.
The approach is the same as with an SME — start from the business and build with the team — at the scale and with the stakeholders a large organization requires. And a key point: we choose, together with the organization, the AI models (LLMs), systems and architecture that prioritize data security and respect its policies.
We always start with business strategy applied to your company: what maximizes sales? What creates or captures new opportunities? What generates efficiency and productivity? What reduces risk? What differentiates your company? Then we build the AI solution.
In four steps that repeat week by week: we prioritize what generates the most value, build something concrete, put it into practice in your real operation, and adjust while working on adoption with your team. Every initiative has to prove its value; if it doesn't, we change direction; if it does, it scales.
It is consulting plus development, integrated. We do not hand over a plan for someone else to execute, or a training course, or a report with recommendations: we identify the problem, design the strategy and build and implement the solution — real software with AI — working inside your team.
Weeks, not years. The work produces something concrete and running in short cycles: in real cases, first versions in production within a few weeks. The commitment is monthly and is measured by the value it generates.
Two: strategic consulting — to decide where and how to apply AI with business judgment — and consulting plus AI development, which also builds and implements the solution with your team, week by week. You choose according to what the company needs.
Operating platforms that replace spreadsheets and manual processes, dashboards and business intelligence, AI assistants trained on your documentation, agents that execute tasks on their own, process automations, integrations between systems, and commercial tools (CRM, prospecting). Always tailored to your operation.
An AI agent is not a chatbot: it is a digital collaborator that receives context, reasons, proposes and executes tasks end to end without anyone having to watch. They handle inquiries, qualify leads, process orders, run internal workflows or generate reports — and free your team for what matters.
Yes. A services company went from coordinating its operation in Excel and scattered spreadsheets to a platform in production, with weekly deliveries; an animal-health company deployed an agent that handles 80% of inquiries immediately; a manufacturer automated its critical process, traceable and auditable. In all of them, something concrete in production every week.
We don't deliver a plan and disappear, and we don't build a system nobody adopts: we work integrated with your team, deliver something working every week, adjust with real data and accompany adoption. We understand the business and the AI, not just the technology. And Scalabl is a hybrid company operating with more than 50 agentic collaborators: we do what we teach.
For three reasons: the technical side is prioritized without understanding the business; things get built on hypotheses about how people work instead of with the actors at the center; and the product gets built but not the adoption, so the team resists it. Our model attacks all three.
With a 30-minute conversation to understand what is happening in your operation and whether there is an opportunity. If it makes sense, we start with a contained first month: we prioritize, build something concrete and measure the result.
It is quoted per project and scope, and defined in the initial conversation. The commitment is monthly and measured by value: if it doesn't generate value, you don't continue.
Scalabl supports AI adoption at different levels: with AI training to prepare executives and teams that want to drive the transformation themselves (see Scalabl Training); with consulting to guide the strategy; and with AI Development, the most complete service, which also delivers the software, the automations and the agents, built together with your team.
The first step is understanding your situation. In a 30-minute conversation we can evaluate whether there is a real opportunity and how to approach it.
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