GrieVoice is a voice-first grievance intake system designed for the places where language, literacy, or formal reporting barriers would otherwise silence people. Labour grievances. Community grievances. A dedicated whistleblower channel. Built multilingual from the start, including South African language inclusion.
Extended intake coverage — labour, broader community grievances, and whistleblower channel. Multilingual foundation including Afrikaans and Setswana; additional South African languages functionally testable at intake-flow level. Gemini-based voice stack.
Original worker-context voice agent. English-first. Emotional-prosody-aware intake, designed for labour grievance capture in operational settings.
Speaking up — about a broken ramp, a sewage overflow, a missing payslip, a conflict of interest — is rarely a simple act of reporting. It is a high-stakes gamble on livelihood and safety. Where official systems fail, the people who dare to speak often pay first.
Through labour-broker loopholes, a worker who reports a cracked loading ramp can see weekly shifts cut from five to one. No dismissal letter. No paper trail. Just silence and rent due.
A twice-reported sewage overflow affecting fifteen households, children and elderly included, yields a case reference and zero action. The reference number is not a resolution — it is a receipt for being ignored.
Unpaid overtime captured by witness, memory, and the clerk's discretion. Correcting a payslip takes a village. The clerical erosion of wages is rarely a heist — it's a quiet drain.
Invoices approved for connected parties. Stock disappearing from a health-services shelf. The person who sees the inside job carries the evidence AND the risk of exposure — a ruinous combination.
The reporter speaks. The agent listens, in English, Afrikaans, Setswana, and an expanding set of South African languages. Voice, WhatsApp message, or USSD menu — whichever channel reaches them.
Entities, locations, dates, impact counts and evidence cues are extracted into a structured record. Multilingual identity is preserved. Spelling is verified back with the reporter — the name anchors the legal trail.
The case is categorised by sector (safety / labour / infrastructure / corruption / environmental) and risk tier. A confidential alphanumeric reference is issued — the reporter's only link, their shield, their follow-up key.
Photo uploads, witness corroboration, payslip proofs — all tied to the reference. Anonymous reports use identity-decoupled files. Contact rules honour operational blackouts so supervisors do not detect disclosure.



Identity decoupling for anonymous reports. Operational-blackout contact windows so supervisors cannot see when the reporter is reached. A labour-broker firewall so protection extends across both the client site and the broker level. Alphanumeric case references that travel instead of names.
These are not polish — they are the reason vulnerable reporters disclose at all.
Selected with you. Labour, community, or whistleblower — whichever is most urgent in your operating context.
English as the mature baseline. One or two selected additional South African languages brought in for pilot-scope testing.
Configuration, live testing, refinement, support during the pilot window, and a findings review with clear next-step recommendations.
Pilot pricing is structured as a bounded one-time setup, a monthly pilot / platform / support fee, and an agreed usage allowance. Infrastructure costs are manageable at pilot scale — the real cost drivers are implementation, multilingual refinement, support, and workflow complexity.
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Landing page — stats, demo grid, architecture overview, channel specs.
Interactive AI voice agent frontpage — the core product demonstration.
System architecture diagram — intake channels, processing layers, outputs.
Full presentation deck — problem, solution, architecture, costing, roadmap.
Technical specification for WhatsApp voice-message intake channel.
Technical specification for USSD menu-driven intake — any phone, no data required.
Simulators, calculators, and walkthroughs — open as standalone pages. Useful to show a prospect what the reporter experience or operator dashboard actually feels like.
Experience what it's like to call in a grievance — mic, transcript, categorization, case reference.
Input workforce size and grievance volume. See projected improvements in accessibility, resolution time, cost.
Six-phase framework with interactive tracking — action items, progress, phase details.
Privacy features in action — anonymization toggles, PII detection, encryption indicators.
Interactive GrieVoice AI agent simulation.
Full interactive AI agent experience.
End-to-end GrieVoice interactive walkthrough.
Compare legacy vs AI-augmented grievance processing side by side.
Comprehensive AI grievance systems presentation.
Full pilot scope document — what a bounded engagement looks like, deliverables, timeline, collaboration expectations.
Architecture and implementation notes — multilingual intake, processing layers, evidence handling, case-reference integrity.
Comprehensive reference — problem framing, architecture, multilingual strategy, deployment considerations.
Demonstration of intake-to-intelligence flow: how raw voice reports become structured, triaged, routable records.
Visual and conceptual reference — how multilingual voice inputs refract through the system into structured, multi-sectoral intelligence outputs.
Field narrative — four unseen realities facing workers and residents who raise grievances in Paarl, Stellenbosch, Worcester, and Cape Town contexts.
Walkthrough of the lifecycle of an official report — intake, evidence, entity mapping, urgency triage, case-reference generation.
Multi-sectoral grievance management and confidentiality protocol — categorisation, triage, witness protection, evidentiary standards.
Design approach, language strategy, and pilot readiness for the Gemini-based variant — why it exists alongside HumeVoice, how the intake layer works, what multilingual coverage looks like in practice.
Technical audit of GemVoice pilot testing — multilingual entity extraction, prosody performance, case-reference integrity, remediation recommendations.
Start with the intake form. Bring the grievance workflow you want to stress-test, the languages your workforce or community actually speaks, and the nearest deadline that matters.