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Locallution

Solutions

Make company knowledge usable.Improve processes.Keep data under control.

Locallution connects local AI with the knowledge, documents and workflows of your organisation. The result is tailored solutions that give employees faster access to information, support new colleagues during onboarding, reduce recurring work and keep sensitive company data under control.

Solution areas

Five areas where local AI makes a difference

Knowledge, people, processes, documents and security: this is where the value is created, and where every analysis begins. What it turns into in practice is shown by the examples further down.

  1. 01Enterprise knowledge

    Company knowledge. Available at once.

    Employees ask questions in plain language and receive answers from the company’s own material – with references to the sources used, if wanted.

    • Questions in plain language
    • Answers with source references
    • Secure experience before it is lost
    • Knowledge management
    • Knowledge retention
    • Enterprise search
    • Internal knowledge retrieval (RAG)
    More about this

    Knowledge in an organisation is rarely kept in one place. It sits in documents, folders, process descriptions, past projects and, above all, in the heads of experienced staff.

    Locallution connects approved internal knowledge sources with a local AI. Employees can ask questions in plain language and receive answers from the company’s own material – with references to the sources used, if wanted.

    Typical questions

    • “How does invoice approval work here?”
    • “Which template do we use for this case?”
    • “How was this problem solved in earlier projects?”
    • “Which internal rules apply here?”

    Scattered company knowledge becomes a usable internal knowledge system.

    Preserve knowledge before it is lost.

    The experience of individual employees can be structured, documented and made accessible to future colleagues together. This reduces the risk that valuable company knowledge disappears with retirements, resignations or long absences.

  2. 02Onboarding

    Make new employees productive faster.

    An internal AI assistant makes work instructions, process descriptions, templates and policies directly available.

    • Faster onboarding
    • Fewer recurring questions
    • Knowledge stays in the company
    • Employee onboarding
    • Internal employee assistant
    • AI knowledge base
    More about this

    New employees often have to ask colleagues, search through manuals or first learn where certain information is kept in the organisation.

    An internal AI assistant can make approved work instructions, process descriptions, templates, policies and company knowledge directly available.

    Typical questions

    • “How do I set up a new customer here?”
    • “Who has to approve this invoice?”
    • “Which steps belong to this process?”
    • “Where do I find the current template?”
    • “Which internal rules do I need to follow?”

    Knowledge no longer stays solely with individual experienced employees but becomes available to the organisation in a structured way.

    What this changes in the organisation

    • Faster onboarding
    • Fewer recurring questions
    • Less dependence on individual employees
    • More consistent internal procedures
    • Knowledge stays in the company

    The assistant does not replace induction by colleagues. It is an internal employee assistant that makes approved knowledge easy to find – responsibility for onboarding remains with people.

  3. 03Process optimisation

    Processes first. Automation second.

    We do not start with an automation tool. We start with your working day.

    Not everything that can be automated should be automated.

    • Pre-sort documents
    • Transfer data between systems
    • Prepare recurring emails
    • Process analysis
    • Optimisation
    • The right technology
    More about this

    Together we identify search effort, media breaks, manual transfers, recurring communication and tasks that cost unnecessary time today.

    Only then do we decide which part can sensibly be improved by local AI, classic automation or a combination of both.

    What can come out of it

    • Prepare information automatically
    • Pre-sort documents
    • Transfer data between systems
    • Prepare recurring emails
    • Trigger internal procedures
    • Generate documents or forms
    • Bring together information from several sources
  4. 04Document intelligence

    Documents become usable knowledge.

    Local AI structures, compares and summarises contracts, reports, minutes and internal papers – and makes them easier to access.

    • Summarise documents
    • Compare several documents
    • Make contract contents findable
    • Document management
    • Document intelligence
    • Knowledge insights
    More about this

    Contracts, PDFs, reports, manuals, minutes and internal papers contain valuable information – but in everyday work they are often hard to see through.

    Local AI can structure, compare and summarise relevant information and make it easier for staff to access.

    Possible use cases

    • Summarise documents
    • Extract information
    • Compare several documents
    • Structure minutes
    • Make contract contents findable
    • Find information in extensive material
    • Make internal document collections searchable

    Business analysis & knowledge insights

    Typical questions

    • “Which problems come up regularly in our projects?”
    • “Which customer questions keep repeating?”
    • “Which topics are searched for most often internally?”
    • “Which information do employees find particularly hard to locate?”

    Local AI therefore does more than summarise documents. It helps to recognise patterns and potential for improvement in the knowledge you already have.

  5. 05Secure AI infrastructure

    Use AI without giving up control of sensitive data.

    Together we define which data the AI may use, who can access it, and how the infrastructure is secured and documented.

    • Local data processing
    • Role and permission concepts
    • Controlled interfaces
    • Network boundaries
    • Multi-factor authentication
    • Logging
    • Backup & recovery
    • Patch and update concept
    • Data flow documentation
    • Component and supply chain documentation
    • GDPR
    • EU AI Act
    • NIS2-oriented security architecture
    More about this

    Locallution develops AI infrastructures for organisations where confidentiality, data sovereignty and traceable access paths matter.

    Together we define which data sources the AI may use, which employees can access it, which external connections are necessary, and how the infrastructure is secured and documented.

    Locallution supports the technical implementation of relevant security measures, taking relevant requirements into account. We do not replace legal advice, and on its own our work does not establish organisation-wide compliance.

AI assistants

AI assistants for different parts of the organisation

Not every employee needs access to the same information. That is why internal AI assistants can be built specifically for different tasks and roles.

  • HR assistant

    Supports with approved HR policies, onboarding processes and internal templates.

  • Sales assistant

    Makes product information, proposal knowledge and sales material easier to access.

  • Project assistant

    Supports with project documentation, internal standards and existing project information.

  • Management assistant

    Prepares approved internal information, reports and key figures in a structured form.

  • Compliance and policy assistant

    Makes internal requirements, policies and process descriptions easier to find.

Which information an assistant may use is governed by the respective role and permission concept.

Concrete examples

What this can turn into in practice

Depending on the organisation, these solution areas lead to different applications. The following examples show how local AI can be used in everyday work.

  • Documents and contracts

    Contract summaries

    from the entry class

    Terms, deadlines and departures from the norm — on one page.

    In practice

    “Summarise this 40-page contract for me. Which deadlines do I need to know?”

    A 40-page lease arrives. Instead of reading all of it, you get the terms, notice periods, indexation clauses and the three points that differ from the usual wording — in two minutes.

  • Documents and contracts

    PDF processing

    from the entry class

    Scanned stacks turn into readable, searchable, sorted material.

    In practice

    “Read in this stack of scanned receipts.”

    A stack of scanned findings and invoices is read in, opened up with text recognition and sorted by date, sender and amount — including poorly scanned originals.

  • Documents and contracts

    Document analysis

    Performance class

    Hold long documents against each other and find the contradictions.

    In practice

    “Compare these two contract versions. Where do they differ?”

    You put the other side’s pleading, your own version and three exhibits side by side and ask where the accounts of the facts contradict each other. The answer names the passages with the page number.

  • Communication and knowledge

    Email assistant

    from the entry class

    Draft replies in your own tone, with the right reference to the file.

    In practice

    “Draft a reply to this enquiry — in our own tone.”

    A client enquiry about an ongoing matter comes in. The draft is ready, picks up the latest state of the file and keeps to your usual form of address and phrasing. You read it, change it, send it.

  • Communication and knowledge

    Meeting minutes

    from the entry class

    A meeting turns into minutes, decisions and a list of tasks.

    In practice

    “Turn today’s meeting into minutes.”

    After an hour-long meeting the minutes are ready: who said what, which decisions were taken and which tasks remain open with a deadline. The recording is processed on your own system.

  • Communication and knowledge

    Knowledge base

    Performance class

    Your whole archive answers questions — and says where the answer comes from.

    In practice

    “How have we argued cases like this in recent years?”

    The question “How did we justify the service-charge statement for mixed-use properties in 2019?” is answered across all files, with a reference to the documents the answer came from.

  • Communication and knowledge

    Chat with your own knowledge

    Performance class

    Follow-up questions in dialogue, answered from your own material.

    In practice

    A new member of staff asks in the chat how invoicing for an expert opinion works in your office, and gets the answer from your own templates and internal notes — not from the internet.

  • Communication and knowledge

    Information & knowledge analysis

    Performance class

    The AI can connect approved internal sources and help bring recurring problems, existing experience and relevant information to light more quickly.

    In practice

    You have every matter of the past five years on one subject assembled, grouped by outcome, with the recurring problems and lines of argument drawn out. The AI connects your approved internal sources to do it — what comes out is a basis to work from, not a finished opinion.

  • Automation

    Automated routines

    from the entry class

    Intake, allocation, filing — done without anyone clicking.

    In practice

    Every incoming invoice is read, allocated to the right matter, filed in your system, and if approval is missing a reminder follows after five days — without anyone opening a folder.

  • Automation

    Purpose-built AI assistants

    Performance class

    One assistant per task: narrowly trained, and reliable for that reason.

    In practice

    An assistant for taking on new matters checks the documents for completeness, opens the file and points out possible conflicts of interest with existing clients. A second one deals with nothing but deadlines.

from the entry classPerformance class

The note on each application says which device class it sensibly runs on – a technical statement, not a price tier. Anything that has to hold your whole archive in view at once, or serve several members of staff in parallel, needs the performance class.

The two classes compared

What is included

What we take care of — and what that removes from your desk

The ten applications above describe what the system can do. This section describes who gets it there. You do not need an AI team of your own – where needed, we coordinate network, access rights and security requirements with your IT or your IT provider.

  • Choosing the right hardware

    We work out from your daily routine which device class is enough — and procure it.

    More about this

    How many people work with it at the same time, how large is the archive, is it about single documents or about everything at once? The device class follows from those questions, not from a spec sheet. We buy it, configure it before delivery and hand it over ready to run.

    What this removes

    No comparing spec sheets, no decisions about memory and graphics performance, no order placed with a dealer who does not know what you need it for.

  • Complete setup of the local AI

    Models, applications and user accounts are in place before you sit down in front of it for the first time.

    More about this

    Language model, text recognition, the connection to your file storage and the applications from your offer are installed and tuned to one another. An account exists for every member of staff. When the device is plugged in, nothing is configured any more — it is only checked.

    What this removes

    No installation, no choosing between model variants, no configuration files and no working through documentation written in English.

  • Fitting into the way you already work

    The system comes to your folders and programs — not the other way round.

    More about this

    We connect the storage where your documents already live and set up the handovers to the programs you work with. Where an interface is missing or a vendor does not offer one, we say so before the offer — not after.

    What this removes

    No rearranging your folder structure, no second place to file things and no documents that need maintaining in two locations.

  • Security architecture & documentation

    Access rights, network boundaries, backup and logging are agreed together before go-live – and documented.

    More about this

    Before go-live we define together the security-relevant framework of the system: user and administrator rights, network access, external interfaces, backup, logging, updates and recovery. The agreed architecture and the essential components in use are documented.

    What this removes

    No gathering of technical details for your record of processing activities, IT documentation or security evidence — they are available at handover. What remains is the legal assessment of your particular case. That belongs to you, your legal advisers or your professional body; we supply the technical details for it.

  • Training your staff

    An introduction using your own documents, in the language of your profession.

    More about this

    Two hours with the people who will use it every day — on real cases from your own practice, not on sample data. A short set of instructions for everyday use stays behind afterwards. When someone new joins the team, we run the training again.

    What this removes

    No introductory course on artificial intelligence and no manual that sits unread on a shelf.

  • Ongoing security & maintenance

    Tested security and software updates, documented version states and one contact person who knows your organisation.

    More about this

    After the introduction we look after more than the AI model. We check compatible security and software updates, document significant version changes and keep the agreed components of the solution technically current. Installation happens by arrangement and outside your working hours; there is no unasked-for switch to a model that behaves differently. If the device fails, we organise the replacement.

    What this removes

    No maintenance windows for you to plan, no version management of your own, no list of open security updates that nobody keeps — and no hotline you have to explain your organisation to every single time.

Service structure

What a project consists of

Seven building blocks from which every offer is assembled. Not every project needs all of them — which ones follows from the analysis.

  1. AI & Security Assessment

    Record and assess processes, data holdings, existing IT and security requirements.

  2. Local AI Infrastructure

    Select, set up and connect the device, models and applications to your file storage.

  3. Security Hardening

    Set up roles and rights, secured administrative access, network boundaries and encryption.

  4. NIS2-oriented documentation

    Documentation of technical measures taking into account the NIS2 Directive and the relevant national requirements.

  5. Backup & Recovery

    Define and test backup, recovery and failure scenarios.

  6. Training & Handover

    Staff training on real cases and a documented handover to the people responsible on your side.

  7. Security & AI Maintenance

    Tested updates, function checks and documentation kept up to date during ongoing operation.

It starts with the analysis

The result of our analysis is not a product catalogue but a concrete target picture: Which information should become available? Which processes can be improved? Which data needs particular protection? And where does AI actually deliver a measurable benefit?

Together we first identify the areas with the greatest potential. Only then do we decide which combination of local AI, knowledge management and automation makes sense.

A conversation, not a sales call.

We look at how you work today and work out whether local AI suits your practice. If it does not, we say so — you save weeks of research.