AI/ML Software Consulting and Development      AI Adoption Framework

Be ready for AI/ML solutions sooner than the majority

AI Adoption Framework

Early adopters of new technologies already started to implement AI/ML-powered solutions into their businesses. Not to lose the wave of booming artificial intelligence capabilities but to adopt best practices allowing you to integrate AI/ML solutions seamlessly.

Successful implementation of AI solutions requires an environment ready to tackle multiple challenges

How we work on AI/ML-powered projects?

AI/ML solutions typically begin with a robust data governance process. However, when adopting any AI/ML-based technology, there are several other challenges to take into account. Assessing your readiness to effectively implement AI/ML solutions in your business is a crucial prerequisite before diving into development.

What areas does the AI adoption framework cover?

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Assess your organisation's readiness

Do I have my data under control?

Do you have a designated individual responsible for data management or a well-established process to ensure the data quality you’re collecting? If not, your data are likely in a moderate shape.

Do I work with sensitive or personal data?

Handling sensitive or personal data necessitates additional security and legal considerations. Such data is also more sensitive when used in external environments, particularly when shared with third parties.

Do I have any regulatory or compliance obligations?

Are you operating within a regulated environment? In the near future, AI/ML solutions are set to be governed by international laws, such as the EU AI Act. Ensure that you are prepared to meet your regulatory responsibilities.

Is using AI tools in my use case ethical?

Are your users or employees aware of the use of AI/ML tools, and are they concerned about its ethical implications? It’s crucial to maintain honesty and transparency regarding the utilisation of AI/ML solutions.

AI Adoption is not only about the selection of a proper vendor

How to make sure your organisation is ready to adopt AI/ML tools?

01 People

02 Data

03 Process

04 Technology

Ensure that you promote the education of your internal teams. A solid grasp of AI/ML at a high level will give your team a competitive edge and equip them with the ability to brainstorm AI/ML use-case ideas within your business setting.

Acknowledge the significance of data management as a crucial factor in facilitating AI, as well as the extent to which data scientists and ML engineers can collaborate, uncover, and recycle data resources and various ML components.

Recognizing the importance of establishing and incorporating processes to ensure a sustainable and effective data discipline cycle over the long term, ongoing education, and technical proficiency will be essential when developing sustainable AI/ML solutions.

Adopting the right technological skillset and migrating the obsolete infrastructure onto modern cloud-based solutions will prevent technology from becoming a bottleneck while adopting AI/ML solutions.

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Explore our case studies and find out how we have helped some of our clients from around the world.

What are the business needs for AI adoption?

01 Efficiency and Automation

02 Data Analysis and Insights

03 Improved Customer Experience

04 Risk Management

05 Scalability

06 Predictive Analytics

AI automates repetitive, time-consuming tasks, allowing employees to focus on more strategic work. This can lead to increased productivity and cost savings.

With the help of AI, you can process large volumes of data and run a business with valuable insights that inform decision-making and strategy.

AI personalises customer interactions, provides 24/7 customer service through chatbots, and enhances user experience, leading to increased customer loyalty.

Artificial Intelligence identifies and assesses risks more efficiently than traditional methods, helping businesses in proactive risk management and decision-making.

AI systems scale operations effectively, handling increased workload or data analysis without the need for proportional increases in staff or resources.

AI forecasts trends and outcomes, allowing businesses to anticipate market changes and consumer behaviour and adjust strategies accordingly.

Discover why customers choose Altamira

Altamira produced superlative deliverables that provide valuable information to guide internal operations and support sales processes. The team was receptive to feedback, adapting resources to ensure effective collaboration.


Ryan Crawford


Custom-made ERP solution that provides jet brokerage services to boost jet sales and service quality.

Services we provided

  • Web Application
  • UI/UX Design
Communication was excellent and my original idea became real thanks to the brilliant work of Business Analysts and Project Managers. Their prompts were always on time, hence there were no misunderstandings in the process. I am absolutely satisfied with how my app looks and functions. It is exactly what I wanted to get when I decided to go with this team.

CEO & Co-founder, Aquiline Drones

Barry Alexander


Android and iOS native applications that provide on-demand drone services, where users can connect with couriers and track the status of their drone order delivery.

Services we provided

  • Mobile Application Development
  • UX/UI Design
At first, I felt hesitant about trusting such a complex project to outsource developers. But, fortunately, my concerns appeared to be absolutely unfounded. Altamira team did amazing job! And I was pleasantly surprised by how well-established processes they have.

CTO, Ticker Tocker

Jonathan Kopnic


Web, iOS, and Android trading platform that offers advanced capabilities in earning by trading, selling products via the integrated marketplace, and conducting trading live-streaming.

Services we provided

  • Discovery
  • Tech Vendor Audit
  • Web and Mobile Application Development
The team’s communication practices made for a rapid yet stable exchange of information, allowing for the quick resolution of all issues that arose during development.

IT Solution Team Leader

Dusan Barus


Unique mobile solution that automates the process of uploading, transferring, documenting, numbering, and downloading pictures.

Services we provided

  • Web Application Development
  • UX/UI Design
It has been an absolute pleasure working with the team at Altamira. We have never been blocked or impeded by their work. They operate efficiently and quickly to get the job done.


Ian Cash


Unique mobile application that aims to teach users to play golf according to individual playing styles and recommendations provided by specifically developed algorithms.

Services we provided

  • Discovery
  • Mobile Application Development
  • UX/UI Design
Altamira helped us to shape the future of music by launching our disruptive publishing tool scodo. What I appreciate most in working with them is their incredibly structured approach while keeping a strong focus on reaching our project’s goals. And of course all of that paired with highly talented and likeable people across the board.

Head of Services, Universal Edition

Entertainment & Media

Electronic document delivery ecosystem development for music publishing.

Services we provided

  • Web application development
  • Software Development

People also asked

What is the adoption of AI?

AI adoption refers to the integration and utilisation of artificial intelligence technologies in various sectors and industries. This process involves implementing AI-driven systems and tools to enhance operational efficiency, decision-making processes, and task automation. For more information, contact us.

What is the adoption rate of AI?

AI adoption rates quantify how rapidly and extensively artificial intelligence is integrated into different business practices and industries. This rate varies significantly across sectors, influenced by factors like technological advancements, industry needs, and regulatory environments.

How fast is AI being adopted?

The speed of AI adoption is accelerating, driven by advancements in technology, increasing awareness of AI’s potential benefits, and the competitive advantage it offers. Industries such as healthcare, finance, and manufacturing are rapidly adopting AI for improved accuracy, efficiency, and innovation.

What are the steps for AI adoption?

The AI adoption framework provides a structured roadmap for businesses, outlining key stages and best practices for successfully integrating artificial intelligence into their operations, ensuring a smooth transition, and maximising the technology’s potential. As a rule, the key steps include the following:

  • Identifying Use Cases
  • Data Preparation
  • Choosing the Right Technology
  • Integrating AI systems into existing workflows
  • Educating staff and continuously refining AI models for optimal performance
  • Conducting regular assessments of the performance and impact of AI systems to ensure they meet the intended objectives.

Contact us to learn more about AI adoption and how we can help your business address this challenge.

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