New Customer Story: Scaling Document Processing and Decision Making for a Global Public Sector Consultancy

This federal organization faced three common challenges we’ve observed across our customer base:

• (1) Growing document volumes, inconsistent formats, handwritten entries, and unstructured data create operational strain;

• (2) Retirements, turnover, and rising regulatory requirements make it harder for teams to meet service expectations,

• (3) Traditional automation technologies couldn’t reliably handle their workflow

We’ve addressed these challenges through a careful orchestration of agentic AI and human oversight, delivering not only faster throughput but also accuracy that surpasses operational benchmarks.

Learn more about this impressive customer outcome here:

This Week: How to Make Enterprise AI Work in 2026 ft. Tim Piemonte

Why do so many enterprise AI initiatives fail—even when the tools are powerful and teams are motivated?

What happens when AI adoption starts with people, process, and governance—before platforms and automation ever enter the picture?

Tim Piemonte, President and Co-Founder of Tribeca Softech, shares how enterprises can deploy AI responsibly in 2026 by aligning strategy, security, and measurable outcomes across the organization.

We covered:

• Why AI initiatives fail without a clear people–process–platform strategy

• How shadow AI emerges when enterprises move too slowly

• Why agentic systems deliver the most value across complex workflows

• How to move from pilots to production with measurable ROI

• Why security-first governance is a competitive advantage, not a blocker

AWS and Multimodal Unite to Advance Agentic AI

Did you know Amazon Web Services (AWS) powers the infrastructure behind AgentFlow?

As our VP of Engineering put it, we chose AWS because it allows thousands of tasks inside AgentFlow to run safely and consistently. Read more about how we’re using it: