Corallo.ai
Artificial Intelligence,
finally operational.
Organisations that integrate AI into core processes
reduce operating costs and increase efficiency.
We build the systems that make it possible.
We turn your company's information assets into instant answers. No more manual searches, no more wasted time.
Our dashboards don't just show the numbers, they interpret them. Every anomaly has a cause, every cause has an action.
Sentiment, competitors and market trends monitored in real time. We pick up weak signals before they become problems.
We study how your company works with data, assess the starting point and activate quick wins within a few weeks.
Every organisation has constraints that no standard anticipates. When requirements go beyond preconfigured models, we design AI architectures around real processes.
The method
How we work
We study how the company works today, identify where AI can have a real impact and build solutions that are useful, integrable and measurable.
Analysis
We study your critical processes and identify the strategic data available.
Impact
We assess where AI can generate the greatest measurable financial return.
Project
We design the system architecture: simple to use, robust in structure.
Development
We implement the solution by integrating it into the workflows and tools already in use.
Training
We make your team self-sufficient and informed in their use of the tools.
Evolution
AI Systems for Business
01.
Decide on the strength of the facts.
We build systems that read across marketing, sales and performance, giving executives a clear, actionable view.
How it works:
It pinpoints where efficiency is being lost, suggests where to allocate budget and alerts you in real time when a critical indicator crosses the risk threshold.
+42%
Cost reduction
Organisations implementing AI are increasingly reporting measurable cost reductions, with effects that are starting to show directly in operational efficiency.
+50%
Revenue growth
up to 80%
Performance improvement
Among those who use AI at work, four in five report improved performance, pointing to widespread benefits in quality of execution and operational output.
Intelligent Knowledge Base
02.
All your company knowledge.
Documents, contracts, procedures and manuals turned into a system that can be queried in natural language. Zero manual searching.
Documents are a business’s assets, yet they often remain buried in forgotten folders. We turn contracts, procedures, manuals and critical files into a system that can be queried in natural language.
How it works:
The team stops wasting time searching for files and starts getting answers in seconds.
Just ask the question, without retracing paths, names or folders.
The value:
Natural-language searches that return relevant, consistent and immediately usable files.
Decision Dashboards
03.
Data without interpretation is just noise.
We build dashboards that do not merely display data, but interpret it and point to the concrete actions to take.
How it works:
It analyses anomalies, identifies root causes and suggests levers for action.
It does not just tell you what is happening: it helps you understand where to act.
5× faster performance analysis
– 40% time spent on reporting
+20% decision accuracy
Data
that acts.
Not just what is happening — but what to do, now.
Process Automation
Freeing talent from repetitive tasks.
These are costly tasks in time, errors and accumulated frustration.
We build AI solutions that run these workflows autonomously, integrating with the tools already in use without requiring new infrastructure.
The system works in the background, flags exceptions, and leaves people the decisions that require human judgement.
The result is a team that stops doing things it should not be doing, and starts doing what it was hired for.
Reputation and Market Monitoring
Responsiveness that becomes preventive action.
A thread on an industry forum, a spike in negative reviews on a secondary platform, a competitor quietly shifting its positioning: these are weak signals that become serious problems only when nobody has picked them up in time.
Our system monitors brand mentions, sentiment by channel, competitor moves and emerging industry trends in real time.
It does not produce reports to read on Monday morning; it flags when something crosses an attention threshold, identifies the cause and suggests the action.
The difference between managing a crisis and preventing it is almost always a matter of hours.
This system measures it in minutes.
360°
view of the market.
Sentiment, competitors and emerging trends in a single view, updated in real time.
Bespoke AI Projects
Responsiveness that becomes preventive action.
We design AI solutions built around your needs, with architectures that are simple to use yet capable of solving complex problems and generating lasting competitive advantages.
AI Audit & Readiness Assessment
Knowing where you are, before working out where to go.
We conduct a structured analysis to provide a clear map of priorities.
How it works:
Analysis of existing data assets, mapping of critical processes, assessment of technology infrastructure and identification of quick wins.
The value:
An action plan based on concrete evidence, not assumptions.
The investment with the fastest payback.
Final deliverable:
- Action plan based on concrete evidence
- AI maturity report with scores by area
- Prioritised 6–12 month roadmap
- 3–5 quick wins with ROI estimate
- Data and infrastructure gap analysis
your
AI
maturity.
for optimisation identified
AI Training for Business
Technology is not enough. You need people who know how to use it.
An AI system without a trained team to govern it is a wasted tool. We design bespoke training programmes for every level of the organisation: executives, managers and operational staff. Not generic courses, but training calibrated to the tools and processes of your business. Hands-on workshops, side-by-side coaching sessions and executive programmes to build autonomy, confidence and an AI culture from within.
About us
about
Coral does not create resources. It filters them.
It takes in chaotic water and returns nourishment.
It works in the depths, where no one is looking, building structures that last.
We work the same way.
Your company’s data already exists.
The processes already exist.
The value is already there, buried in forgotten folders, scattered across reports nobody reads, invisible in workflows nobody has ever connected.
Corallo builds the system that brings it to the surface.
THE TEAM
The team building Corallo
Corallo is entrusted to a team with experience in data, software development and AI systems integration. Every project has a dedicated senior point of contact.
Andrea Maso
HEAD OF SEO
International background, a data-driven mind and no intention of slowing down.
Mario Antonini
chief design officer (cdo)
Luca Maletta
Head of Copywriting
Suraksha Kumari
Full stack developer
Develops SEO-oriented architectures and optimises performance, Core Web Vitals and technical structure.
Sajjad Mazaherizaveh
Full stack developer
Combines front-end and back-end development with technical SEO and AI Search Optimisation.
FAQ
©2026
Why invest in a proprietary AI system rather than using commercial tools?
A subscription to a commercial tool is a commodity. A system built on your data, trained on your language and running on your infrastructure is an asset no competitor can replicate simply by buying the same plan.
What is the real impact of AI on margins?
The impact works on two simultaneous, measurable fronts.
On the cost side: high-frequency, low-value processes (reporting, request routing, document searches, manual notifications) consume hours that appear in no budget but weigh on every P&L. Automating them returns person-hours to revenue-generating work.
On the revenue side: decisions made on fragmented or late data cost opportunities. A system that flags a conversion anomaly the same day is worth more than a report that records it at month-end, when the budget has already been burnt.
Margins improve when you stop paying for inefficiency and start deciding ahead of your competitors.
How is the ROI of an AI project calculated?
The ROI of an AI project is measured across 4 points:
The relevant variables are: lower error rates in critical processes, faster decision cycles, the ability to spot opportunities before competitors, and recovered efficiency in high-impact activities.
The starting point is always the AI Audit: without a precise map of existing processes and data quality, any ROI estimate is a hypothesis. With that map, it becomes a plan.
What changes in management's work once AI is introduced?
It changes the quality of the information on which decisions are made, and therefore the quality of the decisions themselves.
AI eliminates the noise: it automates routine analysis, aggregates data that currently lives in separate silos and flags anomalies before they become problems. What remains for management is exactly what makes management irreplaceable: strategic vision, key relationships, and highly complex decisions with low reversibility.
It is not a change of role, but a change in the information base on which that role is exercised.
What is the difference between digitalisation and AI integration?
Digitalisation makes data available. AI makes it active: it doesn’t just store it, it interprets it, correlates it and suggests the next action. It is the difference between an archive and an adviser.
Where does the data used by your systems reside?
Data stays where it belongs: in the company’s infrastructure.
We design architectures that connect to existing sources, namely company databases, Google Drive, CRM and ERP, without duplicating or exporting sensitive information to external systems. Where necessary, we build storage solutions on dedicated servers or encrypted cloud, sized to the client’s needs.
One constant is non-negotiable: company data is never used to train public models, nor shared with third parties outside the contractual perimeter.
How do you ensure GDPR compliance?
Compliance is part of the architecture from day one.
Every system we build comes with granular access control, full traceability of operations and data anonymisation where required by regulation. The principles of privacy by design and data minimisation are project requirements.
Where there are specific requirements, such as regulated sectors, processing of special categories of data or compliance audits, we work with the client’s DPOs and legal advisers to ensure that every component meets the applicable constraints.
How do you manage the risk of AI hallucinations in reports?
Every answer the system gives is based primarily on the company documents provided to it, through a mechanism called RAG (Retrieval-Augmented Generation) that anchors each answer to verifiable sources. The system does not invent, does not assume and does not draw on external sources (unless necessary or authorised), and it always cites the source from which it extracted the information, so the recipient can verify it in seconds.
No AI system is infallible. That is why, when the confidence level of an answer falls below a threshold, the system flags it explicitly and holds back the output until a human validates it. The goal is a system that knows when it might be wrong, not one that is never wrong.
Can the Knowledge Base handle complex files such as CAD files or technical drawings?
The systems we build natively handle the most common business document formats: PDF, DOCX, XLSX, presentations, emails and structured text.
For highly specialised technical formats, the answer depends on the specific structure of the format and how the data is organised within it. In these cases we carry out a preliminary assessment to identify the most suitable parsing architecture, before any project commitment.
I already use Power BI or other reporting tools. What changes with your dashboards?
Business Intelligence tells you what happened. Our dashboards explain why it happened and project what is likely to happen if no action is taken on a specific variable.
How does people’s work change after automation is introduced?
Automation does not reduce work: it redefines what is worth working on. People feel the difference first, then the numbers.