AI-based Language Interpretation App Developmentw
Budget: $750 – $1,500 USD
TransLangua App — Product Requirements Document
Version: 1.0 (Beta scope)
Owner: Vernon "V" Williams, Founder & CEO, TransLangua LLC
Audience: Product Developer
Platform base: White-labeled Boostlingo / InterpretManager
New in this release: AI Beta Interpretation feature
1. Product summary
TransLangua is a language-services platform delivering On-Demand Phone Interpretation (OPI), Video Remote Interpretation (VRI), American Sign Language (ASL), on-site dispatch, and document translation across 300+ languages, backed by a network of 18,000+ human interpreters. The app white-labels the Boostlingo / InterpretManager engine and adds a governed AI Beta Interpretation layer.
The defining product principle: AI is a tiered, escalation-aware service, not a blanket replacement for human interpreters. The routing/escalation engine that hands a session from machine to human is the core intellectual property — not the raw machine translation.
Service-level commitments (must be enforced in product)
Queue hold time: under 10 seconds for connection to a human interpreter on on-demand requests.
Guaranteed availability of the AI Beta interpretation feature when enabled for a tenant (uptime + functional guarantee — see Section 8).
2. User roles
RoleDescriptionPrimary needsRequesterHospital staff, clinician, school admin, court clerk who needs an interpreter nowSpeed, reliability, simple modality selectionLEP End UserPatient, parent, client needing interpretation; may hold a tablet in AI modeZero friction, accessibility, clarityInterpreterContractor from the 18,000+ networkJob availability, accept/decline, scheduling, credentials, earningsAccount AdminTenant coordinator (hospital/district)User management, utilization reporting, billingTransLangua Internal AdminV + ops team (Uzo et al.)Tenant management, rate structures, AI/human routing rules
3. Human interpretation — user cases (Boostlingo / InterpretManager layer)
3.1 On-demand OPI (phone)
As a Requester, I want to select a language and tap Connect, so that I reach a qualified interpreter in under 10 seconds.
Acceptance criteria:
Language search + recent/favorites list.
Connection established to first available qualified interpreter; median queue hold < 10s, hard ceiling alerting if exceeded.
Session auto-logged (language, duration, modality, requester, department) for billing.
3.2 On-demand VRI (video)
As a Requester, I want a video interpreter, so that visual cues (and ASL) are supported.
Acceptance criteria:
Camera/mic permission handling.
Low-latency video; automatic fallback to audio-only when bandwidth drops.
Same <10s queue target and auto-logging as OPI.
3.3 Scheduled appointment
As a Requester, I want to book a future interpreter slot, so that planned encounters are covered.
Acceptance criteria: language, date, time, duration, on-site vs. remote; system match + confirmation; reminders to both parties; check-in/check-out; billing capture.
3.4 On-site / in-person dispatch
As a Requester, I want a physical interpreter for sensitive medical, legal, or ASL encounters, so that in-person presence is guaranteed.
Acceptance criteria: geo + availability + credential match; interpreter accept; travel + appointment logged.
3.5 Interpreter job management
As an Interpreter, I want to see, accept, and manage jobs, so that I can control my schedule and earnings.
Acceptance criteria: job feed filtered by language/credential/location; accept/decline; calendar; credential upload + expiry tracking; earnings + payout status.
3.6 Admin utilization reporting
As an Account Admin, I want utilization by department, language, modality, cost, and time, so that I can justify and manage spend.
Acceptance criteria: filterable dashboard; exportable (CSV/PDF); scheduled report delivery. Strategically critical — this is the reporting surface that drives renewal conversations.
4. AI Beta Interpretation — user cases (new layer)
Beta labeling: This feature must be visibly marked "AI Beta" in the UI wherever it is active, and tenants must opt in.
4.1 AI OPI/VRI session
As an LEP End User and Requester, I want real-time machine interpretation, so that low-acuity exchanges connect instantly.
Acceptance criteria:
Speech-to-text → machine translation → text-to-speech, bidirectional.
Sub-second per-utterance latency target.
Speaker diarization (who is speaking).
Visible live transcript to both parties.
Version: 1.0 (Beta scope)
Owner: Vernon "V" Williams, Founder & CEO, TransLangua LLC
Audience: Product Developer
Platform base: White-labeled Boostlingo / InterpretManager
New in this release: AI Beta Interpretation feature
1. Product summary
TransLangua is a language-services platform delivering On-Demand Phone Interpretation (OPI), Video Remote Interpretation (VRI), American Sign Language (ASL), on-site dispatch, and document translation across 300+ languages, backed by a network of 18,000+ human interpreters. The app white-labels the Boostlingo / InterpretManager engine and adds a governed AI Beta Interpretation layer.
The defining product principle: AI is a tiered, escalation-aware service, not a blanket replacement for human interpreters. The routing/escalation engine that hands a session from machine to human is the core intellectual property — not the raw machine translation.
Service-level commitments (must be enforced in product)
Queue hold time: under 10 seconds for connection to a human interpreter on on-demand requests.
Guaranteed availability of the AI Beta interpretation feature when enabled for a tenant (uptime + functional guarantee — see Section 8).
2. User roles
RoleDescriptionPrimary needsRequesterHospital staff, clinician, school admin, court clerk who needs an interpreter nowSpeed, reliability, simple modality selectionLEP End UserPatient, parent, client needing interpretation; may hold a tablet in AI modeZero friction, accessibility, clarityInterpreterContractor from the 18,000+ networkJob availability, accept/decline, scheduling, credentials, earningsAccount AdminTenant coordinator (hospital/district)User management, utilization reporting, billingTransLangua Internal AdminV + ops team (Uzo et al.)Tenant management, rate structures, AI/human routing rules
3. Human interpretation — user cases (Boostlingo / InterpretManager layer)
3.1 On-demand OPI (phone)
As a Requester, I want to select a language and tap Connect, so that I reach a qualified interpreter in under 10 seconds.
Acceptance criteria:
Language search + recent/favorites list.
Connection established to first available qualified interpreter; median queue hold < 10s, hard ceiling alerting if exceeded.
Session auto-logged (language, duration, modality, requester, department) for billing.
3.2 On-demand VRI (video)
As a Requester, I want a video interpreter, so that visual cues (and ASL) are supported.
Acceptance criteria:
Camera/mic permission handling.
Low-latency video; automatic fallback to audio-only when bandwidth drops.
Same <10s queue target and auto-logging as OPI.
3.3 Scheduled appointment
As a Requester, I want to book a future interpreter slot, so that planned encounters are covered.
Acceptance criteria: language, date, time, duration, on-site vs. remote; system match + confirmation; reminders to both parties; check-in/check-out; billing capture.
3.4 On-site / in-person dispatch
As a Requester, I want a physical interpreter for sensitive medical, legal, or ASL encounters, so that in-person presence is guaranteed.
Acceptance criteria: geo + availability + credential match; interpreter accept; travel + appointment logged.
3.5 Interpreter job management
As an Interpreter, I want to see, accept, and manage jobs, so that I can control my schedule and earnings.
Acceptance criteria: job feed filtered by language/credential/location; accept/decline; calendar; credential upload + expiry tracking; earnings + payout status.
3.6 Admin utilization reporting
As an Account Admin, I want utilization by department, language, modality, cost, and time, so that I can justify and manage spend.
Acceptance criteria: filterable dashboard; exportable (CSV/PDF); scheduled report delivery. Strategically critical — this is the reporting surface that drives renewal conversations.
4. AI Beta Interpretation — user cases (new layer)
Beta labeling: This feature must be visibly marked "AI Beta" in the UI wherever it is active, and tenants must opt in.
4.1 AI OPI/VRI session
As an LEP End User and Requester, I want real-time machine interpretation, so that low-acuity exchanges connect instantly.
Acceptance criteria:
Speech-to-text → machine translation → text-to-speech, bidirectional.
Sub-second per-utterance latency target.
Speaker diarization (who is speaking).
Visible live transcript to both parties.