Emerging Technology
Almost every company already experiments with some emerging technology. Few measure whether it changed the outcome, and even fewer scale past the first pilot.
- Emerging technology evaluated by use case, not by hype
- Pilots with success criteria defined before they start
- Scale as a conscious decision, not an automatic consequence of the pilot
Emerging tech right now
88%
of companies already use AI in at least one business function, up from 78% in 2024.
39% / <6%
of companies report any enterprise-level impact from AI, and most of those see under 5%; only about 6% reach real impact above that.
23% / <10%
of companies scale an AI agent in at least one area, but fewer than 10% scale it within a single function.
Source: McKinsey, The State of AI in 2025: Agents, innovation, and transformation.
From an isolated experiment to technology that supports real decisions.
Separating what already solves a real problem from what's still a bet
We evaluate each emerging technology by the problem it solves in your operation, not by how much it shows up in headlines.
Let's talkPilots with success criteria defined before they start
We define what "it worked" means before running any pilot, so the decision to scale or stop doesn't come down to opinion.
Let's talkScaling as a decision, not as pilot inertia
Every move from pilot to production goes through an explicit decision about cost, risk, and long-term maintenance.
Let's talkWhat we're writing about emerging technology.
AI literacy for non-technical teams
Corporate deepfakes: the scam your company has not seen yet
Generative AI security: risks that do not have names yet
Pentest: when to hire and what to expect from the report
Practical LGPD for teams without a dedicated DPO
Quantum computing: what ordinary companies need to know today
Next step
Want to know if this emerging technology solves your problem or just looks like it does?
We run that assessment before any pilot. If the answer is to wait, we'll tell you that too.
Talk to a specialist