Automate Data & Deploy AI in Every Process

Introduction: The Age of Generative AI in Business

The transformative potential of generative AI is reshaping enterprises worldwide. But leveraging AI isn’t just about adopting new technologies—it's about embedding AI into every business process, automating workflows, and freeing up your team's cognitive resources for high-impact innovation. Enterprises who succeed in this era will be those who can quickly automate, innovate, and redefine their value chains at scale.

Why Automation and AI Matter More Than Ever

• Faster Innovation: Speed up time-to-market with automated processes and AI-driven insights.
• Process Automation: Eliminate repetitive tasks, empower creative work, and deliver better customer experiences.
• New Value Chains: Build products and services not possible before by harnessing AI in every department.

The Two Pillars: Department of Boring & Robust Data Operating System

Enterprise-wide AI deployment requires:

1. Department of Boring: Automate routine, repeatable processes everywhere to free up human creativity.
2. Data Operating System: A unified platform that lets any business unit prepare data, automate workflows, and deploy AI—without deep technical skills.

This approach ensures data readiness and orchestration, so AI runs in every process, by the business, for the business.

From Insights to Action: The Journey to AI Readiness

The path to scalable AI starts with data. Here’s a proven framework:

1. Integrate Data: Combine structured and unstructured data from internal and external sources (e.g., PDFs, web, SaaS, APIs).
2. Clean & Transform: Aggregate, cleanse, and prepare data for analysis using robust warehousing and processing tools.
3. Analyze & Hypothesize: Use BI tools and data apps to extract insights, test hypotheses, and inform decisions.
4. Automate Actions: Orchestrate workflows to move from analysis to automated business actions.
5. Deploy AI Models: Integrate machine learning and generative AI models into day-to-day processes.
6. Monitor & Govern: Ensure observability, auditability, and trust across your data and AI workflows.

Real-World Example: From Data to Zero Food Waste

Consider the journey of a leading enterprise that reduced food waste to 0.5%—the best in the world. Their roadmap:

• Gave teams access to integrated data.
• Enabled self-service reporting and dashboard creation.
• Empowered individuals to influence KPIs using their own analysis.
• Automated repetitive actions using AI-powered workflows.
• Iterated rapidly, improving outcomes with each cycle.

The result? Teams could focus on high-value hypothesis testing and customer-centric innovation, powered by AI in every process.

Solving the Data Platform Challenge

Most data platforms are built for IT, not business users. They demand technical expertise, manual integration, and complex orchestration. But today’s innovation race requires business technologists—citizen data engineers—who have business context but limited technical skills. The solution? A platform that:

• Enables self-service data integration and preparation.
• Automates ETL/ELT, orchestration, and AI deployment.
• Provides real-time monitoring and governance.
• Removes dependencies on IT for daily operations.

What You Need to Succeed with AI Automation

• Data Integration: Seamlessly connect to databases, SaaS, cloud storage, APIs, and unstructured data sources.
• Data Transformation: Clean, enrich, and standardize data for AI readiness.
• Data Exploration: Enable business users to analyze and visualize data through BI tools and data apps.
• Collaboration: Share data products securely across teams and partners.
• AI & ML Operations: Deploy, monitor, and optimize AI models in production workflows.
• Orchestration & Automation: Build and run complex workflows, integrating deterministic and agent-based processes.
• Observability: Monitor, audit, and heal data pipelines automatically.

Making AI “Boring”: Empowering Every Department

The goal is to make AI so seamless it's “boring”—as integral and invisible as your smartphone. This means:

• Every business unit can prepare data and deploy AI rapidly.
• Processes run reliably, with automated monitoring and self-healing.
• IT provides oversight and governance, but business teams drive innovation.

Keboola’s platform is designed to empower this transformation, enabling enterprise-grade automation and AI for every department.

Key Keboola Features for Enterprise AI Automation

• Data Streams: Real-time ingestion and processing from event-based sources (e.g., IoT, support tickets, fraud alerts).
• Universal Extractor: Connect to any API or data source with no code or low code; automate mapping and parameterization for fast onboarding.
• Impact AI: Full data lineage and process transparency, visualizing every data and AI flow for trust and compliance.
• Data Apps: Self-service, interactive applications for live data exploration, advanced analytics, scenario modeling, and real-time reporting—built with analyst-level coding.
• Clarify AI: Automated error diagnostics and human-readable explanations for complex data and process errors.
• Activity Center: Embedded real-time monitoring for governance, cost management, security, and operational insights.
• Integration with Daiso: Advanced data cataloging and product discovery, making data assets easily discoverable and reusable.
• Cross-Cloud Support: Run on your preferred cloud (Google Cloud, AWS, Azure) with multi-tenant and single-tenant options.

Hands-On Example: Real-Time Error Monitoring Workflow

Imagine a workflow to monitor product releases:

1. Event Ingestion: New support tickets from Jira are pushed into Keboola via webhooks.
2. API Integration: Universal Extractor pulls error logs from Datadog.
3. Data Transformation: Clean and structure incoming data using JSON templates and mapping inference.
4. Lineage & Monitoring: Impact AI visualizes the flow from ingestion to resolution for full transparency.
5. Data App: Teams access a real-time dashboard for monitoring and resolving errors as they arise.

This setup enables rapid issue detection, root cause analysis, and operational agility, all with minimal coding.

Self-Service AI Apps: From Data to Business Value

With Data Apps, business users build custom applications that:

• Visualize and interact with real-time data.
• Integrate predictive models and advanced analytics.
• Automate workflows from data ingestion to action.
• Leverage out-of-the-box templates for common use cases (e.g., sentiment analysis, RAG, KPI dashboards).

For example, a marketing team can build a brand sentiment monitoring app using reviews from G2, Capterra, and Reddit—scraping, aggregating, scoring with generative AI, and visualizing trends and actionable insights, all within Keboola.

AI-Ready Data: Governance, Security & Trust

80% of users don’t trust data used for AI without transparent lineage. Keboola solves this by:

• Providing automated, always-up-to-date data lineage from pipeline to process.
• Enabling audit trails and compliance (e.g., GDPR metadata, access logs).
• Giving stakeholders clear insight into data origins and transformations.

Enterprise DevOps & Collaboration

• Project DevOps Management: Integrate with Git for lifecycle management, dev/test/prod environments, and robust governance.
• Easy API Integration: Import Postman collections, use templated functions, and collaborate on API documentation with Extractor Copilot (coming soon).

Accelerate AI with Advanced Automation

Keboola’s platform supports:

• Change Data Capture (CDC) for efficient, incremental data sync.
• Advanced mapping inference using ML for faster API onboarding.
• Extractor Copilot for collaborative API and data workflow development.

Operational Insights with Activity Center

Gain real-time visibility into:

• Cost attribution and optimization (FinOps).
• User activity, anomalies, and operational health.
• Security events and governance controls.

Seamless Data Discoverability with Daiso

Publish, catalog, and discover data products organization-wide. Enhance metadata, automate approvals, and enable frictionless access to trusted data assets for new apps and analytics.

Get Started: Transform Your Business with Keboola

• Integrate your data ecosystem, structured and unstructured.
• Automate workflows and orchestrate AI at scale.
• Empower every department to build, deploy, and monitor AI-powered apps.

With Keboola, make AI and automation a seamless, everyday reality—empowering innovation, agility, and growth across your entire organization.