Search inside documents
Manuals, contracts, specifications, internal rules. Ask in natural language and get the answer with a reference to the document it comes from, instead of searching by hand through folders and attachments.
Custom AI
Artificial intelligence built on your own data
Not a subscription to a generic tool, but a solution that knows your documents, your processes and your language.
Generic artificial intelligence knows everything about the world and nothing about your business. It can answer on any subject, but it does not know where your up-to-date price list is, what that process is called internally or which exceptions apply to only three customers.
A custom AI solution starts from the other end: from your data. Documents, procedures, archives, the history of past requests. The model is still only the tool, the value lies in what you give it to read and in the rules you make it work within. This is what decides whether an AI project works or stays a demo.
Where it delivers results
Classification and routing
Requests, emails and reports read, categorised and sent to the right department, with the information already extracted and ready to use.
Internal assistants
A tool that answers the recurring questions staff ask about procedures, products and customers, trained on your content and not on the internet.
Data extraction from documents
Numbers, dates, amounts and references pulled out of invoices, delivery notes, orders and forms, and taken straight into the management system without retyping.
The conditions you need
Custom AI works when these conditions are in place. When they are missing, it is better to say so beforehand.
- The data exists and can be reached, not just in people’s heads
- The process is repetitive and really does take up time
- There is a way of measuring whether the result is correct
- There is someone in the business who can validate the results
- The data handled is compatible with privacy obligations
- The expected saving justifies the cost of building and maintaining it
How we work
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Analysis
We understand the process, the data available and what “it works” really means for you.
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Prototype
We build a first limited version on a real case, to see the results on your data.
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Development
If the prototype convinces, we build the full solution and integrate it into your systems.
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Go-live
Release, training for people and monitoring of quality over time.
Before we start, in plain terms
- Typical timescales
- From 4 to 8 weeks, depending on how many data sources need connecting
- To get started you need
- An internal point of contact, sample data and a clear idea of the result to be achieved
- After release
- Monthly fee: covers servers, security, model usage and maintenance
- Ownership
- Data, knowledge base, configurations and documentation are yours, exportable at any time. The technology remains PCDUE’s, granted for use for the duration of the service
- Where the data is held
- Infrastructure in Europe, with separate access for each customer
- What determines the price
- Data sources to connect, company systems involved, number of people who will use it
Support
Frequently asked questions
What does developing a custom AI solution mean?
Developing a custom AI solution means building an artificial intelligence tool designed around the business’s real processes, its data, its operating rules and its concrete objectives.
What is the difference between custom AI and an ordinary chatbot?
An ordinary chatbot often answers with predefined flows or generic information. A custom AI solution is designed to work with the specific content, processes and operational needs of the business.
Which parts of a business can artificial intelligence help?
Artificial intelligence can be useful in customer care, sales, marketing, request handling, back office, document analysis, internal support, training, technical support and the automation of repetitive tasks.
Is an AI solution meant to replace people?
No. In many cases AI is designed to support people, not to replace them. It can prepare drafts, classify requests, retrieve information, suggest answers and cut down repetitive manual work.
Where does a business AI project start?
It starts from analysing the processes: what is done today, which tasks take the most time, which data is available, what risks exist and what operational result the business wants.
Can AI read company documents?
Yes. An AI solution can be set up to analyse documents, manuals, FAQs, procedures, price lists, product sheets, sales materials and internal knowledge bases.
Can AI answer using approved documents only?
Yes. The AI assistant can be set up to answer solely on the basis of authorised sources, such as company documentation, approved pages, internal procedures or verified content.
How do you avoid wrong answers from the AI?
You need to design the sources, limits, instructions, checks, updates, human supervision and escalation properly, for when an answer is uncertain or not covered by the available data.
Can AI be used safely in a business?
Yes, but it has to be designed with care over data, access, privacy, permissions, logs, responsibilities, human control and the separation between public and confidential information.
Which businesses can benefit from a custom AI solution?
Businesses with a lot of repetitive requests, complex documentation, manual processes, customer care, sales, technical support, back office work or recurring workflows can all benefit.
How big does a business have to be to use AI?
A business does not have to be large. SMEs, professional practices, retail businesses and structured organisations can use AI if they have repetitive processes, data to manage or frequent requests.
What is an AI agent?
An AI agent is a system that can carry out guided tasks, such as looking up information, preparing answers, updating data, classifying requests or interacting with business tools.
What is an AI knowledge base?
It is a knowledge base you can query with artificial intelligence, built on approved company documents, FAQs, procedures, manuals and content.
What is an AI system for documents?
It is a solution that reads, analyses, summarises and organises documents, extracting useful information and helping the team handle complex content.
Can you control what the AI can and cannot do?
Yes. You can define limits, rules, authorised sources, permitted actions, escalation, blocked messages and the cases that require a person to step in.
Can an AI solution be updated over time?
Yes. An AI solution has to be maintained and updated: content, rules, sources, prompts, integrations and controls can all evolve with the business.
How do you choose the first AI project to build?
It is best to choose a repetitive, measurable process, with data available and a concrete impact on time, service quality, sales or the amount of manual work.
Ready to begin?
Tell us the process you want to improve. We will review your request and help you find the best path.