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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
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

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
Data Science and AI
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
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.