Best fit
A 50-5,000 person organisation with existing digital infrastructure (CRM, ERP, cloud tools), clear manual pain points, a decision-maker involved from day one, and budget to run a paid discovery.
AI Services
CoreLine puts AI to work inside your operations - automating processes, deploying agents, and building custom AI where it earns its keep. We are a software company first: everything we deliver is production-grade, integrated into your real systems, and maintained by engineers, not a strategy deck.
Automate & Deploy
Process automation
AI agents and chatbots
Custom AI solutions
Decide & Enable
AI discovery and strategy
Team training and workshops
Build vs. buy assessment
Run With Confidence
Human-in-the-loop review
Monitoring and fallbacks
EU-based, GDPR-first delivery
Engagement fit
Is your organisation ready for AI services?
Last reviewed
AI earns its place when a real, repeating task can be measured against examples and the value of doing it faster or better outweighs the model, review, and running costs. We start from that task - not from the technology - and only build when there is a defined owner, representative data, and a way to tell whether the output is right.
Not the right fit
Paper-only operations with no digital systems, a wish to 'do something with AI' with no defined problem, or a request for free advice with no commitment to act on it.
First engagement
A paid AI Discovery: stakeholder interviews, a process map, an opportunity matrix scored by impact, feasibility, and payback, and a prioritised roadmap with quick wins you can act on in the first month.
What we deliver
Working software - an automation, an agent, or a custom model - integrated into your systems, with human-review policies, monitoring, and fallbacks, plus training so your team actually uses it.
Sound familiar?
Your team loses hours every week to manual data entry, triage, and reporting that never quite gets automated
You know AI could help but you can't tell which use case is real and which is hype
A proof-of-concept impressed everyone in a demo, then never made it into production
You want AI inside your existing tools - CRM, ERP, support desk - not another disconnected pilot
How an AI engagement runs
Every engagement moves through the same stages, whether it is a single automation or a company-wide programme. Discovery can be bought on its own; everything after it is scoped from what Discovery finds.
Discovery
We interview the people who do the work, map the process, and score opportunities by impact, feasibility, and payback. You leave with a prioritised roadmap and a board-ready summary - not a vague strategy.
Assessment & Build
We confirm data availability, pick the approach (automation, agent, or custom model), and build against a real evaluation set. Output quality is checked before anything touches production.
Deploy & Optimise
We integrate into your systems with monitoring, cost tracking, escalation paths, and human-in-the-loop review, then tune against live usage - and train your team to own it.
What a delivered AI engagement includes
Integrated
into your existing systems
AI runs inside your CRM, ERP, support desk, or app - not as a disconnected pilot
Governed
with human review and fallbacks
Escalation rules, forbidden topics, and audit trails are defined before go-live
Owned
by your team after handover
Training and documentation leave your people able to run and extend it
What we work with
Using solutions such as React Native, Flutter, AWS, and many others makes it possible for us to upgrade your product as much as possible and to achieve a thriving collaboration. Here you will find our guide through our most used technologies and case studies related to each one.
AWS
AWS offers the tools to build powerful, flexible, and scalable applications, from compute and storage to databases and content delivery.
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Flutter
Simply put, Flutter is Google’s cross-platform framework that lets you build mobile, web, desktop, and embedded apps, all from a single codebase.
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React Native
React Native is Facebook’s cross-platform framework that combines the best of React with native platform features - perfect for new projects or enhancing existing ones.
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Other technologies we use
PHP
Node.js
Vue.js
React.js
Frequently asked questions
That is exactly what AI Discovery answers. We interview your team, map your processes, and score each opportunity by impact, feasibility, and payback, then hand you a prioritised roadmap. Discovery is a standalone paid engagement, typically one to two weeks, and it almost always makes the next step obvious.
Results depend entirely on the workflow, your data, and how much of the task AI can safely take on, so we do not promise a fixed number. As a planning reference, our methodology targets a meaningful reduction in repetitive work and a payback measured in a few months, and every proposal states the specific, measurable target we are aiming at for your case - not a generic figure.
Into your existing tools. Process automations and agents connect to your CRM, ERP, email, support desk, and databases through APIs and middleware. The goal is AI embedded in the systems your team already uses, not another pilot to log into.
Every engagement defines escalation rules, forbidden topics, fallback behaviour, and audit trails before go-live, with a human in the loop wherever the decision matters. Delivery is EU-based and GDPR-first, and for sensitive data we deploy in your own infrastructure or use providers with appropriate certifications.
It depends on the pillar and scope. Discovery starts around EUR 3,500; a single process automation or agent typically runs from a few thousand to the low tens of thousands of euros; larger custom solutions more. Every engagement is quoted against defined scope before work begins - Discovery is the low-risk way to find out what yours needs.
Yes. We run workshops from AI literacy for leaders to prompt engineering and department-specific sessions, each with a deck and a reusable prompt library. Training can be a standalone engagement or an add-on to any build so your team owns the result.
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