AI and data now
Almost everyone sees it, and few get it live.
97%
of executives said generative AI will transform their company and industry
67%
of organisations plan to spend more on technology, with data and AI first
75%
of executives said good quality data is the most valuable ingredient for generative AI
10-15%
more revenue growth for data-driven companies than for their peers
Figures from Accenture, AI and data. 47% of CXOs name data-readiness as the main block. 97% know gen AI will change the business. Only 31% have invested seriously. Only 9% have a use case fully deployed.
What it is
Software that finds patterns, then acts.
AI looks at data and does something with it: predict, summarise, suggest, or finish a task. Generative AI goes further. It writes, draws, codes or answers in plain language, from what it learned and from the data you connect to it.
Without that data, you get a demo. With it, you get a tool that sits in the work: a shorter path from a question to an answer, from a lead to an offer, or from an incident to a fix.
Inside the company
Reports, support, planning, and search through your own documents. Less waiting, fewer hand-offs.
In front of the customer
Recommendations, a clearer next step, and a site or shop that reacts to what the visitor already did.
In the work itself
Intake, follow-up and recurring work that can run on its own. A person stays on it when that is the safer choice.
Go to market
Put the offer in front of the right people.
Marketing is not a separate campaign if you take this seriously. It is knowing who is in front of you, what they already did, and matching the next message or offer to that.
You reach people sooner, because you use behaviour instead of a wide guess. The product is easier to understand, because the explanation fits their situation. And you can see what works, then change it without waiting for a new quarter.
Messy data personalises noise. A tool on its own stays a few nice outputs. The companies that grow harder on data put this in the operation, not on a slide.
How we help
We start at the problem, not at the model.
Fiducia is not an AI agency. We pick technology for impact, and we say so when AI is the wrong answer. For go-to-market that means: where does the customer get stuck, which data do you already have, and what should actually be built.
Sometimes that is an AI layer on intake, content or the site. Sometimes it is a cleaner process first. We stay until it runs: design, build, deploy, security, handover. One owner. That is the gap in the numbers above. Belief is cheap compared with getting it into the work.