What should you consider before introducing an AI knowledge platform?
How long does it take until a new colleague truly settles in and becomes productive? Does your team also spend a lot of time hunting for old documents, outdated policies and scattered process descriptions? When internal knowledge is fragmented, it not only slows down onboarding, but also makes complex process descriptions or legal questions much harder to understand. Would you like to know how you can actually fix this?
In this article, we walk you through how you can introduce our AI based knowledge platform alongside your existing systems without having to rebuild everything from scratch. In the end, we also summarise what kind of organisational and technical resources you’ll need for a successful go-live.
What is MIRA and when does it make sense to integrate it?
MIRA is an AI powered chat system built on top of your company knowledge base and exposed through a single, searchable interface. It’s not yet another isolated tool, but a layer that answers everyday questions based on your existing documents, policies, contracts and process descriptions.
Once your team has access to it, it quickly becomes clear how much load it takes off everyone while speeding up internal workflows:
- Faster onboarding: New joiners no longer have to piece together the essentials from random folders and half sentences. They get clear explanations in one place about rules, ways of working and expectations.
- Instant support before meetings: Before a client meeting or management discussion, previous materials, guidelines and summaries are available within seconds, without wasting time on searching.
- More confident decisions: For legal or compliance questions, you don’t need to start from scratch every time. MIRA helps the whole team rely on the same up to date knowledge.
Step by step MIRA becomes the invisible engine of your operations. It speeds up onboarding, makes daily work more transparent and supports better, more confident decisions.
You can run it on your own servers in an on premise setup, in a cloud environment managed by your organisation, or in a hybrid setup that combines the two. All three options provide a closed system where your data stays inside and is not sent to any external AI provider. That gives you maximum control and data security.
It makes sense to seriously consider MIRA when your internal knowledge becomes hard to access, fragmented or outdated, and more and more time and resources are spent on searching, onboarding or preparing decisions.
As a first step in the rollout you define the area where MIRA should help first in daily work. It can support new employee onboarding or make legal and other documentation more transparent. The key is a clear starting focus. Based on this it becomes much easier to select which documents and policies will form the initial MIRA knowledge base and which structured data will be needed for everyday work.
What will you need to deploy MIRA?
The first phase of introducing MIRA is about organising your knowledge and defining the focus. You decide which source materials go in first, who the initial users will be and how MIRA should fit into day to day work. This planning keeps the rollout transparent and stops it from turning into a never ending project.
Once this is clear you can move on to the technical side. For the underlying infrastructure you can choose a one off investment model or a subscription based service where the dedicated hardware and its operation are handled by us. In that case the implementation does not overload your internal IT resources. Together with your technical team it is worth defining the environment, permission levels, logging setup and the way the AI monitoring system should work, the part that tracks performance and usage patterns. This way you keep full control over MIRA and you can see in time when and where it makes sense to adjust.
MIRA deployment step by step
Once you decide to go ahead, the basic MIRA rollout is a well structured, easy to follow process that typically takes a few weeks. The exact duration depends on how much custom development and integration you need, but the process remains transparent throughout and you get expert support at every step.
1. Sign up on the website
The first step happens on the website. You can request a 30 day full featured trial where you can test MIRA with up to one thousand pages of your own documents, or you can use the Get MIRA now form to indicate that you want a live rollout. We contact you within one business day and start the process.
2. Short scoping call and setting the framework
We map the current situation and highlight where your organisational knowledge needs the most support. In a short joint session we go through your expectations. Among other things we discuss:
- what you would like to use MIRA for first, what should form the basis of the knowledge store and which materials should go in initially
- who the initial users should be
- in which concrete situations MIRA should support your team
- and whether you have any specific requirements you would like the system to handle
As a result everyone involved clearly understands in what form and for what purpose the first version of MIRA will be launched in your organisation. For the basic rollout the goal is a clearly defined knowledge base that can be launched quickly. If you also need a fully custom solution that is integrated with other systems, for example with an ERP, that becomes a separate larger project that we plan with you accordingly.
3. Technical setup and deployment
Together with your own IT specialists we select the appropriate environment, your own servers, cloud, or a hybrid setup, and perform the necessary configuration. This includes network setup, loading documents, defining permissions and fine tuning the core parameters. We place MIRA alongside your existing systems, there is no need to rebuild everything. On the user side only minimal training is needed, so colleagues can become confident users within a few days.
4. Training your team
Information becomes a real advantage only when your team can actually find it and knows how to use it. Before the system goes live we run training for your users.
This helps your colleagues understand:
- how to ask effective questions,
- what types of tasks MIRA can support,
- how the system saves time in everyday routines,
- what best practices to follow in daily use.
We stay close in the first period. We expect questions and small issues to show up and this is completely normal. We go through these together, help interpret the answers, fine tune the settings and support those colleagues who will act as MIRA owners inside your organisation. The goal is that your team never feels left alone with the system but can get used to it safely and with ongoing support.
5. Testing and fine tuning
Before go live there is a short testing phase where your team can try MIRA in real situations. We follow the feedback and adjust the system where needed. During this phase we are available for questions, we review the cases together and help you get the most out of MIRA tailored to your own way of working.
6. Go live
Once the setup is finalised your team can start asking the first questions. From that point on MIRA naturally becomes part of everyday operations and supports decision preparation, case handling and internal knowledge sharing. You no longer need to spend long minutes or hours searching for a document, policy or process description.
One question. One answer. The information is there where you need it, before decisions are made.
What changes will you see in everyday work?
With MIRA you spend less time searching and explaining. New colleagues ramp up faster and for legal or compliance questions everyone can query the same up to date knowledge. Misunderstandings decrease because your team can ask questions in different languages and MIRA will answer in that language even if it works from Hungarian source documents in the background.
It is not a flashy gimmick but a very practical assistant that saves you time, capacity and a lot of unnecessary back and forth in the long run.
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