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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

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Michelin, an e2open customer evaluated Oracle Transportation Management

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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of Schedule Interpreter Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Asl Request Professional Services 10 $1M United States Schedule Interpreter Schedule Interpreter Natural Language Processing 2023 n/a
In 2023, ASL Request deployed Schedule Interpreter as a Natural Language Processing application. The Schedule Interpreter system is cited on the ASL Request website and news updates as the operational platform for ASL scheduling, video remote interpreting VRI sessions, and on-site assignment workflows in Maryland. Implementation centered on a scheduling engine and interpreter-facing resources, with configuration focused on session orchestration for VRI and structured assignment workflows for on-site bookings. The deployment included development of training and interpreter-facing materials for the Schedule Interpreter system, indicating formalized enablement content and operational documentation to support interpreters and staff. Operational coverage is centered on ASL Request regional operations in Maryland, with the Schedule Interpreter application servicing scheduling operations, interpreter coordination, and VRI session handling for the firm. The rollout emphasis on interpreter resources points to combined practitioner and operations usage rather than a narrow administrative tool, aligning the Natural Language Processing capabilities with front-line scheduling and service delivery. Governance activity included creation of training assets and interpreter enablement materials to support adoption, reflecting an operational adoption posture and local rollout management. ASL Request uses Schedule Interpreter to align scheduling workflows, interpreter onboarding, and operational coordination within its Maryland service footprint.
Lamp Interpreters United States Non Profit 200 $12M United States Schedule Interpreter Schedule Interpreter Natural Language Processing 2020 n/a
In 2020, Lamp Interpreters implemented Schedule Interpreter as its client scheduling system. Lamp Interpreters uses Schedule Interpreter, classified under Natural Language Processing, to manage patient and client appointments and booking workflows for phone, video, and in-person interpreter services across its healthcare and community engagements in the United States. The implementation centers on a public scheduling surface and client-login driven account-center functionality, module usage inferred from the organization’s request pages which state that all scheduling is done through ScheduleInterpreter. Operational scope includes centralized booking for healthcare and community-facing functions, with Schedule Interpreter handling interpreter assignment, appointment coordination, and client self-service scheduling workflows.
Maryland Judiciary Government 4000 $645M United States Schedule Interpreter Schedule Interpreter Natural Language Processing 2018 n/a
In 2018, the Maryland Administrative Office of the Courts implemented Schedule Interpreter to manage statewide court interpreter scheduling, invoicing, and an online directory as part of its access to justice efforts. Schedule Interpreter is positioned in the Natural Language Processing category and was used to streamline matching and search workflows for certified interpreters across the court system. The rollout included adoption of the Schedule Interpreter Engage and Schedule Interpreter Docs modules, which were configured to handle assignment creation, automated confirmations, schedule coordination, invoicing workflows, and managed document storage for interpreter records and billing. Configuration emphasized role-based access for court schedulers and fiscal staff, and workflow automation for assignment lifecycle and invoice generation. Operational coverage was statewide, with the implementation supporting the Administrative Office of the Courts and court sites across Maryland, impacting scheduling operations, finance and invoicing functions, and access-to-justice program administration. The deployment centralized the interpreter directory and scheduling processes, reducing manual coordination between courts and contracted interpreters. The AOC began the transition in 2018 and completed a phased rollout of Engage and Docs during implementation, with vendor case reporting documenting reduced canceled assignments by 24 percent and reduced travel expenses by 29 percent. The implementation narrative emphasizes system-led scheduling, automated invoicing, and a public directory as core elements of the Office of the Courts automation strategy.
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FAQ - APPS RUN THE WORLD Schedule Interpreter Coverage

Schedule Interpreter is a Natural Language Processing solution from Schedule Interpreter.

Companies worldwide use Schedule Interpreter, from small firms to large enterprises across 21+ industries.

Organizations such as Maryland Judiciary, Lamp Interpreters United States and Asl Request are recorded users of Schedule Interpreter for Natural Language Processing.

Companies using Schedule Interpreter are most concentrated in Government, Non Profit and Professional Services, with adoption spanning over 21 industries.

Companies using Schedule Interpreter are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Schedule Interpreter across Americas, EMEA, and APAC.

Companies using Schedule Interpreter range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 0%.

Customers of Schedule Interpreter include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Schedule Interpreter customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.