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Discovery
We discuss the task with the people who do it. We review systems, data, constraints and the expected result.
AI and automation
AI and business process automation
We connect systems, organise document handling and make company knowledge easier to find. We choose automation and AI for a specific task, with controlled access to data and checks on the results.
Trusted by
Companies and institutions that need stable IT.
Choose tasks worth automating
When staff copy information from emails into another system, look up the same answers or prepare reports manually, we start by examining that work. We check how often it happens, which applications it uses and the quality of the data. We then identify where a straightforward integration is enough and where AI is worth testing.
From process analysis to working automation
Start with one task or ask us to assess several processes. We agree the implementation scope after reviewing your systems.
Process analysis
We examine repetitive tasks, time spent and data requirements. We identify opportunities for automation and issues that need to be resolved first.n8n integrations and automation
We connect email, forms, CRM and other systems. We automate data transfers, notifications and reporting, including error handling.Company knowledge with RAG
We make procedures and documentation easier to search. Answers draw on selected materials, with access matched to each user’s permissions.Document handling with Paperless AI
We organise scans and documents, from text recognition to classification and search. We agree which results a member of staff needs to check.AI in your business environment
The deployment approach depends on the information involved, your infrastructure and the task. Not every process needs its own model or a new application.
Offline AI models
We deploy models on agreed infrastructure. We review hardware requirements and data flows, including connections to external services.Company chat with Open WebUI
We give staff an interface to selected models and knowledge sources. We configure accounts and rules for using company data.Custom AI software
We build applications, assistants and integrations where existing tools do not cover the required task. We agree testing and maintenance arrangements.What you receive after process analysis
The analysis helps you choose an initial scope and assess whether it is worth implementing. It covers tasks, necessary changes and how to measure the result.
A description of the current workflow
Tasks, systems and data sources, with manual handovers, recurring errors and steps that require a member of staff identified.A proposal for the first implementation
Tasks prioritised by expected benefit, effort and risk. We describe the integrations needed and the issues to address before work begins.Acceptance and maintenance requirements
We agree how to compare time spent, output accuracy and errors. We identify access rules, human oversight and arrangements for handling problems after launch.Implementation process
We first test an agreed scope. Timing depends on integrations, data preparation and the availability of people for testing; there is no single schedule for every business.
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Scope and terms
We choose the first process and agree costs, timing and acceptance criteria, including your team’s involvement.
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Pilot
We configure the solution and test it with users. We check outputs, errors and situations that require manual handling.
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Handover and support
We compare the results with the agreed criteria, provide documentation and agree ongoing support or a wider rollout.
Practical scope
Data and checks on results
Before launch, we agree which information the solution processes, who can access it and when a person must review the output.
we select current documents and systems, and agree who keeps them up to date and removes information no longer needed.
we define permissions, where data is processed and stored, and rules for using external services.
we test incorrect and incomplete inputs, AI responses and handover to a member of staff. A model’s answer can be wrong.
we agree error logging, configuration backups, updates and problem reporting. Ongoing support is scoped separately.
Automating IT ticket handling
Autotask PSA helps organise IT services: tickets, project tasks, time tracking and billing. It can be one of the systems involved in an integration, for example when transferring tickets or notifications. It is not a prerequisite for AI. Before choosing it, we check available connections, licences and the way your team works.
Questions about business automation
Does company data have to go to a public AI service?
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No. We can design a solution using a local model and company data sources. We still review the full flow of information, including integrations and external services. Running a model locally does not replace secure access controls and configuration.
Can you connect automation to our existing applications?
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We first check the integration options your systems provide: APIs, file exchange or existing connectors. Feature availability and licensing restrictions affect scope and cost. We do not promise to connect any application without checking it first.
How much time will our staff need to contribute?
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We need someone who understands the process and people who can test typical tasks and exceptions. We agree their involvement and availability before work starts. Important outputs may still need human approval.
What happens after implementation?
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We provide the agreed documentation and test results. We can also handle ongoing support: investigating errors, updating integrations and extending the automation. Scope, reporting arrangements and maintenance costs are agreed separately.
What would you like to automate?
Describe a task that takes up your team’s time and tell us which systems you use. Include any delivery deadline. Do not send passwords or confidential documents through the form.
Tell us about your task