Home > Service Hubs > AI Agents and Data

AI Agents and Data

Build intelligent systems that adapt, learn, and operate at scale. Unlock the power of agentic AI with tailored architectures, scalable orchestration, and expert-led services. From onboarding to governance, we help you turn complexity into intelligent automation with high ROI.

Explore some of our services in AI Agents and Data

Tailored Agentic AI Solutions

Build agentic AI solutions designed to scale with your business and adapt to real-world complexity.

Agentic AI Orchestration

Orchestrate intelligent agents across systems, processes, and teams to ensure alignment, collaboration, and autonomous execution at scale.

Human-in-the-Loop AI

Combine automation with human oversight to improve accuracy, reinforce governance, and make critical decisions with confidence.

Machine Learning

Leverage machine learning to unlock insights, automate complex tasks, and continuously improve through real-world data.

Chatbots

Implement conversational AI that delivers contextual, real-time engagement, enhancing the user experience across all channels.

Architecture, Big Data, and Data Storage

Build a future-ready data foundation to support AI initiatives with secure, scalable architecture and intelligent storage strategies.

NTConsult + Databricks Parnership

We use several AI and data tools to help companies across industries. Among them, we highlight our official partner, Databricks: a leading platform in data analysis and artificial intelligence. Combining our expertise in data and AI with Databricks’ advanced capabilities, we offer several services, including:

Unifying Data Management

Implement Databricks to unify data engineering, data science, and machine learning into a single collaborative platform.

Big Data Processing

Use Databricks to process and analyze large volumes of data in real-time.

Integration and Pipelines

Develop integrated data pipelines for the continuous insertion, transformation, and analysis of data from multiple sources

Data Science and AI

Use Databricks to build, train, and deploy machine learning and AI models at scale.

Scalable Agentic AI and Data solutions with real business impact

AI only delivers results when grounded in real business needs. Our approach focuses on meaningful use cases, creating agents that learn alongside people, operate across systems, and scale with governance. The goal is not isolated experimentation, but solutions that perform in production.

Explore some of our areas of expertise below:

  • Onboarding AI Agents designed around real business use cases.
  • We design, build, and optimize enterprise-grade AI agents in close collaboration with our clients, enabling agents to learn by doing, alongside people who already perform the tasks.
  • Modular, tool-agnostic orchestration (Camunda, Kafka, ServiceNow, Salesforce, n8n, Databricks, etc.), with built-in governance, compliance, security, exception handling, and autonomy.
  • Designed for interoperability across both legacy and modern systems.
  • Outcome-focused pilots to validate value before scaling.

Why Services-Led Matters in Agentic AI

Technology alone is not enough to make Agentic AI succeed. True adoption depends on expert services that shape context, guide onboarding, and bridge the gap between technology and business. With the right specialists and strategies in place, AI agents move from theory to reliable value at scale.

  • Agent onboarding mirrors human onboarding: agents require domain context, access to systems, and iterative task training, much like new employees.
  • Context engineering is critical: design the right prompts, memory strategy, and input-output context windows to ensure reliable agent behavior.
  • Our Forward Deployed Engineers (FDEs) act as embedded specialists, bridging the gap between tech and business, ensuring quick adaptation and learning loops.
  • We act as strategic partners (not just vendors), validating what works, what fits, and what scales in your reality to unlock AI’s full value.

Data Science Services

The foundation for effectively performing data analysis is a solid data architecture. Our Data Science services include:

Data Architecture and Modeling

Design and manage the data structure, using accurate and efficient models, considering the definition of information systems and the application of best modeling practices.

Big Data and Data Lakes

Implement solutions to manage large volumes of data, including unstructured data, using advanced Big Data technologies and scalable repositories (Data Lakes) for storing raw and semi-structured data.

Data Warehousing and Integration

Develop centralized repositories for storing and managing structured data, optimized for detailed reporting and analysis. It includes the unification of data from different sources into a coherent and accessible format.

Cleansing, Preprocessing, and Data Governance

Prepare and process data for analysis. Implement governance policies and practices to ensure data quality, security, and compliance.

Data Science and Machine Learning

Extract valuable insights, patterns, and knowledge through analysis and statistical techniques. Develop predictive models and automate decisions using machine learning algorithms.

Data Analysis and Visualization

Perform trending and predictive analysis and create interactive dashboards and charts for data visualization.

In addition to these examples, there are several other areas where we can help with Data Science. To find out more, get in touch with us.