UN RBHRF 2026 / Workshop Session WW5Workshop request deadline · 16 September 2026

HYBRID AI TRIAGE · LOCALISED REMEDY

Speed & Safety in Worker Grievance:Hybrid AI Triage & Localised Remedyin High‑Risk Supply Chains

An anonymised view of workers on a garment production floor

An intensive 90‑minute Workshop on speed, safety and effective remedy in high‑risk supply chains.

20 minutes

SEGMENT 1 / GAP ANALYSIS

Framing & the “Spot‑the‑Bot” Gap Analysis

Test an AI‑assisted grievance response against the safety, trust and accountability it would need in practice.

Worker SupportAI assistant
Simulated

Today

Pre‑written simulation. No live AI, real case data or stored messages.

THE CORE MISSION

“Speed without safety is dangerous; safety without speed leaves workers exposed.”

90‑minute interactive Workshop

WORKSHOP STRUCTURE

From gap analysis to a 30‑day action roadmap.

Four connected working segments move from failure analysis to a tested AI + Human workflow and an organisational next step.

01

20 minutes

Framing & the “Spot‑the‑Bot” Gap Analysis

Audit a simulated intake exchange and identify where an apparently helpful AI response creates gaps in safety, consent, trust or accountability.

Working output / Gap analysis
03

20 minutes

Rapid Pitch‑Backs & AI + Human Workflow Synthesis

Pitch the pathway, compare trade‑offs and synthesise AI‑to‑human handovers, worker safeguards and accountable action.

Working output / Hybrid workflow
04

15 minutes

Architecture Synthesis & 30‑Day Action Roadmap

Turn the shared learning into a practical architecture and a 30‑day roadmap for your organisation.

Working output / First 30‑day action

The four working segments total 80 minutes. The remaining 10 minutes are reserved for opening, transitions and close.

WHAT YOU WILL LEAVE WITH

You will leave with a method you have already tested.

  • Your First‑Draft AI + Human Grievance PathwayTailored to your organisation's operational environment.
  • Reusable A3 Pathway CanvasAn actionable design tool for your internal teams.
  • Boundary & Accountability Decision ChecklistA practical guide to where technology supports and human judgement must govern.

Stakeholder value

Tailored Value for Key Stakeholders

Brands (Local Offices)

Core operational challengeBalancing rapid ground‑level issue resolution with real‑time risk alerts to HQ.

What you will gainA practical framework to resolve local factory issues within a 48‑hour grace window while maintaining compliance transparency.

Brands (Global HQ)

Core operational challengeCentralising compliance data without violating regional data privacy laws or exposing worker identities.

What you will gainZero‑knowledge data governance protocols and cryptographic hashing workflows.

CSOs & Trade Unions

Core operational challengeManaging intake across multiple brand dashboards while protecting worker safety.

What you will gainOpen API integration standards and non‑negotiable human handover triggers.

Tech & Systems Providers

Core operational challengeDesigning tools that account for low literacy, dialect variations and safety risks.

What you will gainReal‑world failure analysis of NLP models and 2G or low‑bandwidth fallback architectures.

Executive Overview

Purely automated AI chatbots can fail when deployed in high‑risk supply chains without human oversight, leaving vulnerable workers exposed to retaliation and dismissal. Conversely, manual grievance intake can struggle to scale amid evolving due diligence requirements, including CSDDD.

Grounded in 19 years of direct operational experience from Handshake Worker's Hotline, this intensive 90‑minute Workshop moves beyond theoretical ESG targets to address real‑world labour violations.

Participants will analyse intake scenarios, map hybrid AI‑to‑human workflows and build enforceable remedy pathways across multi‑stakeholder tables.

A field visit inside a textile production facility

Design constraints

The 3 Non‑Negotiable Golden Principles

  1. 01

    Technology serves the human advocate; it never replaces them.

    Automated systems must amplify advocate reach without cutting out essential human trust.

  2. 02

    Anonymity is an absolute technical constraint, not an administrative policy.

    Worker identities must be protected through zero‑knowledge encryption and local PII stripping.

  3. 03

    Intake volume without guaranteed remedy is corporate risk exposure, not worker protection.

    Collecting complaints without enforceable local remediation increases legal and operational risk.

Practical information

Frequently Asked Questions

Who should attend this Workshop?

Global supply chain directors, local brand compliance leads, CSO advocates, trade union representatives and ESG technology developers.

Is prior technical or legal knowledge required?

No. Role badges and structured scenario decks provide the necessary context during the session.

Will session takeaways and recording or summary packs be distributed?

Yes. Registered participants will receive the complete digital toolkit package after the session.

Request your place

Request a place

Bring your experience and the question you are still working on.

Your response helps the facilitation team compose the room and prepare an anonymous starting point. Do not include confidential cases or identifiable worker information.

Workshop 17 September 2026 · 09:00–10:30 Bangkok time

Deadline 16 September 2026

Time Approximately 10-15 minutes

Includes Registration + short Workshop reflection

Format Expression of interest

UN FORUM REGISTRATION REQUIRED

You must register for the UN Responsible Business and Human Rights Forum 2026 before requesting a place in this Workshop.

Register on the official UN event page

Your progress is saved temporarily in this browser tab as you type and cleared after successful submission.

Forum registration
01

Your role

Registration information used to compose a relevant, multi-stakeholder room.

02

Your grievance experience

Experience helps us understand your perspective. It is not a seniority test.

Have you been directly involved in grievance mechanism work?
Which parts of a grievance mechanism have you worked on or influenced?
03

Your AI starting point

Learning inputs for anonymous issue mapping. This is not a test or a basis for judging your view.

Which grievance-related tasks are you using or considering AI for?
Where could AI add the most value?Choose up to three · 0 of 3 selected
Where could AI create or increase risk?Choose up to three · 0 of 3 selected
04

What you bring

One concrete decision is more useful than a polished statement.

HOW YOUR RESPONSE IS USED

Registration data is used to review expressions of interest and compose the participant group. Learning inputs support anonymised Workshop preparation. Responses are handled by Inno for these purposes. Retention and deletion arrangements are being finalised. Do not include confidential cases or identifiable worker information.

Transparent by design

Two kinds of information. Two clear purposes.

Registration data

Compose the room

Name, contact, organisation, role and experience help form a relevant, multi-stakeholder group.

Learning inputs

Prepare the inquiry

AI uses, perceived value, risks and trade-offs inform an anonymous starting point and facilitation preparation.

Request a place