Compliance with AI Agents: Banyan.eco

REACH. RoHS. PFAS. Material declarations. Smelter origin. Compliance work has traditionally meant hours of certificate hunting per BOM, with answers that go stale the moment regulations shift. The Banyan.eco partnership changes the maths: industry-specific AI agents retrieve manufacturer documentation in real time, build a deterministic compliance decision tree per substance, and email manufacturers automatically when data is missing. APEX-benchmarked at zero hallucinations versus 9 to 13 percent for general-purpose AI. Built to scale with the demand surge, without scaling headcount.

CalcuQuote_Partner Photo_Francis DSouza_40x40px_2025
Francis D’Souza
CEO, Banyan.eco
Headshot Stephanie Barone _250x250px
Stephanie Barone
Sales Director, CalcuQuote

Francis D’Souza and Stephanie Barone walk through how the Banyan.eco partnership transforms compliance workflows inside quoting. The focus is on automating data retrieval, structuring compliance logic at the substance level, and replacing manual certificate collection with a system that scales as regulatory requirements and customer demand increase.

Request a Demo

Key Takeaways

Compliance is moving from a check to a continuous service

The compliance ask keeps expanding, and one-off checks no longer scale.

  • Customers ask for REACH and RoHS today
  • Tomorrow they will ask for smelter origin, material declarations, and resilience signals against geopolitical events
  • A continuous compliance service is the only way to keep up

Industry-specific AI agents, not general chatbots

Banyan.eco runs purpose-built AI agents, one per regulation.

  • Agents cover REACH, RoHS, PFAS, minerals, and components intelligence
  • Upload a BOM, select agents, and generate a compliance dashboard
  • Agents fan out to manufacturer sources in real time

Zero hallucinations, by design

Every compliance verdict ships with a backward-chaining proof tree.

  • Substance to declaration to rule to result, every step shown
  • APEX-benchmarked against OpenAI and Anthropic for electronics BOMs
  • General-purpose AI hallucinated 9 to 13%. Banyan’s deterministic layer brought it to zero

Exception handling that knows the regulation

The same substance can be fine in one context and a problem in another.

  • A nickel result on an electronic component is fine because the regulation does not apply there
  • The same substance in a skin-contact use case triggers special authorisation
  • Agents apply the right rule to the right context

Configurable freshness windows

Compliance windows match how your customers actually buy.

  • Your customer requires manufacturer declarations less than six months old? Set that as a rule and agents flag stale certificates
  • Other customers accept two-year-old declarations, also configurable
  • Different customers, different rules, same workflow

Missing info? The email agent takes over

When a component returns missing info, the email agent chases the manufacturer.

  • Roughly 5% of components return missing info on the first pass
  • The email agent contacts the manufacturer’s compliance address and continues the thread until the data comes back
  • The compliance dashboard updates automatically
  • End-state retrieval averages around 97%