Decision-making is complex, but getting the right insights shouldn’t be.
However, business leaders often face delays due to traditional analytics workflows and overwhelmed data teams. At the same time, AI leaders encounter lengthy deployment cycles and integration challenges.
In fact, 66% report lacking the right tools to deploy AI solutions that align with company goals. Integration challenges and long deployment cycles—often seven months or more—delay progress and make it harder to meet executive expectations.
Generative AI and agentic AI promise a way forward, but adoption remains difficult. 77% of business leaders fear they are already falling behind and are pushing their teams to accelerate implementation.
The answer isn’t more complex tooling—it’s pre-built, configurable agentic AI apps.
These agentic AI apps empower AI leaders to scale AI faster while giving business leaders the instant, intuitive, and reliable AI solutions they seek.
Roadblocks to AI-driven answers
While AI holds the promise of transforming decision-making, several entrenched obstacles continue to hinder its effective implementation:
- Overwhelmed data and AI teams: The increasing demand for AI-powered insights is stretching teams thin. Time-sensitive requests pile up faster than they can be addressed, leading to bottlenecks and burnout. In addition, AI teams face challenges in scaling solutions efficiently, hindering timely adoption and impact.
- Slow AI deployment and orchestration: Even when AI solutions are available, moving them from concept to production is a significant challenge. Integrating with enterprise systems, ensuring data is AI-ready, and aligning with governance policies can take months — far too long for today’s fast-paced business environment.
- Limited self-service, complex queries: Traditional Business Intelligence (BI) dashboards provide visibility, but real-time ad-hoc analysis with AI recommendations and insights still requires SQL, custom queries, or advanced analytics — making business users reliant on technical teams. Instead of acting on insights, they find themselves waiting for data analysts to generate reports.
- Security and compliance hurdles: Strict data privacy regulations like GDPR and HIPAA, along with internal security controls, are essential for protecting sensitive information. However, each data request requires approvals, permissions, and secure handling, adding friction that slows down access to critical business insights.
These persistent challenges underscore the need for a transformative approach to getting businesses the insights they want as fast as they need — one that streamlines processes and empowers both business and AI teams to achieve faster, more reliable outcomes.
Move from data to decisions instantly with agentic AI
Business leaders need a faster, more intuitive way to get AI-powered insights without overburdening technical teams or waiting on complex reports.
This is why the Talk to My Data agentic AI app was developed.
Unlike traditional BI dashboards that require constant human input, the Talk to My Data agentic AI app actively retrieves and synthesizes data. By leveraging tailored prompts that embed domain expertise, it delivers precise, context-aware insights and business-ready answers in real time.
For business leaders, this means:
- No more navigating BI dashboards, submitting insight requests, or relying on SQL queries.
- The ability to ask questions in plain language and getting instant, contextual responses.
For AI leaders, this means:
- Removing manual query bottlenecks.
- Accelerating AI adoption while maintaining governance and scalability.
With enterprise data integration, and built-in security, Talk to My Data enables AI teams to deploy faster, reduce operational overhead, and align AI with business goals.
A GPS for business decisions
Think of the Talk to My Data agentic app as a GPS for your business decisions. Instead of mapping the route yourself, just ask where you need to go—and the right path appears instantly.
But just like a GPS doesn’t suggest random routes, Talk to My Data factors in business context and historical trends to deliver the most relevant answers.
- Versatile applications: Whether you’re optimizing sales performance, tracking financial health, or identifying operational bottlenecks, the AI dynamically retrieves, interprets, and refines queries—ensuring both speed and accuracy.
- Comprehensive outputs: Talk to My Data provides visual summaries, tables, and even source code for deeper exploration, allowing AI teams to customize or extend analytics as needed.
- Empowered decision-making: By eliminating delays in data access, leaders at all levels can identify high-value opportunities, pivot quickly, and maximize ROI, all while reducing dependence on technical teams for routine analytics.
“With Talk to My Data agentic AI app, business leaders and their teams can confidently make informed decisions without waiting on technical support. AI leaders can drive faster AI adoption and ensure scalability, while empowering business users to ask questions, get trusted answers, and visualize insights instantly—all on their terms.”
– Justin Swansburg, VP Applied AI & Technical Field Leads
How Talk to My Data agentic AI app empowers AI and business teams drive impact
The Talk to My Data app offers several features designed to enhance efficiency and effectiveness:
- Built-in logic
Deploying AI solutions often requires extensive customization and integration. However, with built-in AI logic, security logic, and app logic, AI teams can quickly customize the app to their organization’s unique business needs. This approach enables business users to immediately leverage AI for reporting and insights, minimizing the need for extensive adjustments. - Seamless data integration
Working with data from various systems—such as Snowflake, Google BigQuery, and even local files—often presents challenges due to manual integration processes.The Talk to My Data app addresses this by automating data alignment, and reducing the need for manual reconciliation across diverse data tables and sources. This automation minimizes the time data and AI teams spend resolving data issues, enabling business leaders to access faster, more reliable insights.
- Cost-effective system optimization
Selecting appropriate AI systems is crucial for balancing performance and cost. By offering a library of LLMs tailored to specific business needs, AI teams can choose underlying components that optimize expenses while maintaining effectiveness. This flexibility ensures that AI initiatives remain both efficient and economical. - Natural language interaction
Accessing data insights shouldn’t require technical expertise. By enabling natural language queries, users can explore data, uncover insights, and make decisions faster, without the need for SQL or waiting on analysts for routine queries.For technical teams, the availability of underlying Python or SQL code allows for review, modification, and reuse, offering deeper analytical capabilities when needed.
- Simplified advanced analytics
Leveraging AI-powered insights and Python-based analytics tools without coding can democratize data analysis. Users can generate charts, tables, and source code to answer questions effortlessly, making advanced analytics accessible to a broader audience. - Built-in security
Meeting rigorous security standards is essential in today’s data-driven environment. The built-in security features from DataRobot ensure that data access is secure, allowing decision-making processes to proceed without compromises. - Industry-specific adaptability
Different industries face unique challenges. By offering real-time visualizations and analyses tailored to specific industry needs, users can gain precise, context-aware insights.Customizable prompts and visualizations—including charts, graphs, and tailored recommendations—enable deeper analysis and informed decision-making, aligning with the specific priorities of each industry.
The right answers from your data right when you need them
Imagine your AI team delivering a powerful agentic AI experience that your business leaders rely on daily to obtain precise answers by simply querying your extensive data sources.
That’s what’s possible with the Talk to My Data agentic AI app.
Seamlessly integrate generative and agentic AI into your organization’s decision-making process, eliminating delays, complexities, and technical dependencies.
No more enduring lengthy AI development cycles, integration challenges, or concerns over security and governance.
Discover how it works, and invite your team to experience it firsthand.
About the author
Savita has over 15 years of experience in the enterprise software industry. She previously served as Vice President of Product Marketing at Primer AI, a leading AI defense technology company.
Savita’s deep expertise spans data management, AI/ML, natural language processing (NLP), data analytics, and cloud services across IaaS, PaaS, and SaaS models. Her career includes impactful roles at prominent technology companies such as Oracle, SAP, Sybase, Proofpoint, Oerlikon, and MKS Instruments.
She holds an MBA from Santa Clara University and a Master’s in Electrical Engineering from the New Jersey Institute of Technology. Passionate about giving back, Savita serves as Board Member at Conard House, a Bay Area nonprofit providing supportive housing and mental health services in San Francisco.
Brian Bell Jr. leads Product Management for AI Production at DataRobot. He has a background in Engineering, where he has led development of DataRobot Data Ingest and ML Engineering infrastructure. Previously he has had positions with the NASA Jet Propulsion Lab, as a researcher in Machine Learning with MIT’s Evolutionary Design and Optimization Group, and as a data analyst in fintech. He studied Computer Science and Artificial Intelligence at MIT.
