AI orchestration enables disparate AI systems to collaborate across applications and interfaces — automating data streams and task execution with human oversight.​

Having the fastest AI model, or an agent in every single application, means nothing if they can’t talk to each other.

The strongest starting point for parole boards looking to improve operations through technical modernization is with systems that reduce paper-heavy review cycles while giving board members more time to make informed parole decisions. Takeaways AI cannot automate human judgment. A single decision to grant parole rests on hundreds of case

The best practices for data integration have indeed changed with the immense growth of agentic systems, which is predicted to blossom to 1.8 billion agents operating across enterprises by 2028, and the proliferation of MCP. ELT is now more important than ever.

Enterprise genAI success is dependent on layers of governance and accountability, from the upstream raw inputs of secure, clean, and trusted data, to the downstream outputs of an unbiased and accountable guarded model.​

Don’t. Leave full LLM training for Google, OpenAI, and Anthropic. Select a model; fine-tune only if it suits you; and improve results by limiting the scope of what the model sees with RAG. In our blog, the Document Data Crisis, we described that bad responses are not a model problem

Solution upgrades can be expensive, but so can servicing and supporting aging technology. A cost benefit analysis can help determine when to upgrade.

AI Agents become more reliable when unstructured data is properly managed from capture to formatting for AI analysis and RAG.​ IDP provides structure to unstructured data.

What is due diligence for IDP and why is it important? Due diligence is the investigative process of vetting an investment or agreement to verify facts and make informed decisions. Good due diligence reduces risk and protects decision-makers from signing off on costly mistakes. With new intelligent document processing vendors