Chris Huff

Chris Huff

CEO Adlib Software
Chris Huff

Chris Huff is a growth-focused tech and SaaS executive with a proven track record in scaling enterprise software companies backed by private equity and venture capital. He’s known for building strong teams and driving value through operational efficiency, revenue growth, and product innovation. Prior to joining Adlib, Chris was CEO at Base64.ai and Chief Strategy & Growth Officer at Tungsten Automation (formerly Kofax), where he led strategy, product, AI, GTM, marketing, and partnerships. He also co-led Deloitte’s U.S. Public Sector Intelligent Automation practice and served as a Major in the U.S. Marine Corps. Chris brings deep expertise in AI, automation, and digital transformation, and a clear vision to expand Adlib’s impact across regulated industries.

Day One

9:00 AM AI Outcomes Start Upstream: Why Cleaning Document Pipelines Beats Tuning Prompts

Most AI misses the mark not because models are weak, but because inputs are. Unstructured, inconsistent, and low-quality documents force RAG and LLMs to guess. This session maps the upstream work that reliably lifts precision/recall, reduces hallucinations, and shortens time-to-value, beyond what IDP alone can do.

We’ll unpack:

  • Why AI stalls: messy scans, mixed layouts, legacy files, weak metadata/lineage.
  • IDP’s ceiling: field-level OCR/extraction  normalization, validation, version control, or compliance at scale.
  • Fix the input layer: automate document cleanup, standardize formats, preserve structure, enrich/validate, route exceptions, and log audit trails.