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Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of ABBYY Timeline Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
ACERTUS Transportation 1200 $130M United States ABBYY ABBYY Timeline Process Mining 2019 n/a
In 2019 ACERTUS deployed ABBYY Timeline as its Process Mining application to instrument and manage OCR-driven document workflows. The deployment focused on capturing the flow of work processed through OCR while enabling frontline delegation, with responsibility distributed to up to 5 processors who reported to the implementation lead. Implementation activities combined hands-on OCR testing and process instrumentation, including validating OCR output for invoicing, registration renewals, and initial registrations across 22 to 26 states. The team produced an inventory page, a duties schedule, and a Workflow OCR manual, and developed training material and verification procedures to standardize processor and supervisor interactions with ABBYY Timeline and the OCR pipeline. Operational integrations included inbound invoice processing and shipping on TransTitle, with direct collaboration with ABBYY developers to refine OCR handling for the TransTitle inbound process. The implementation covered both in-office scanning and remote processing patterns, and encompassed data entry, invoice creation, shipping instructions, check and ACH balancing, and phone-based issue resolution workflows. Governance and rollout emphasized process rules, escalation routing, and role-based delegation, with formalized recordkeeping and training to support repeatable verification and issue triage. ABBYY Timeline was used as the central application for mapping and monitoring OCR handoffs, while bespoke procedures and documentation governed daily operations and ongoing training.
Algoma University Education 500 $100M Canada ABBYY ABBYY Timeline Process Mining 2016 n/a
In 2016, Algoma University implemented ABBYY Timeline in the category to support a structured archival transcription and timeline documentation program. ABBYY Timeline was used as the primary application for creating transcripts of typewritten material and for structuring timeline entries that captured document metadata and provenance. The implementation centered on document conversion and transcription capabilities, including converting archival material to proper file formats and completing transcriptions of handwritten and typewritten documents in German, Greek, and Latin. Staff used ABBYY software to create transcripts, followed by proofreading of academic essay transcripts for accuracy, and created and updated archival records in the project database to ensure records were searchable and consistently documented. Operational governance emphasized archival standards, staff training, and consistent cataloging workflows, with team members trained and required to follow Rules for Archival Description during all documentation. Workflows integrated ABBYY Timeline outputs into the project database and archival record lifecycle, with timeline entries used to surface relevant contextual information for each document and to maintain archival integrity.
Geisinger Health Plan Healthcare 24000 $7.7B United States ABBYY ABBYY Timeline Process Mining 2014 n/a
In 2014, Geisinger Health Plan implemented ABBYY Timeline, a Process Mining application. ABBYY Timeline was adopted to provide process visibility across onboarding, scheduling, registration and quality workflows, aligning the Process Mining capability with operational training and curriculum development functions. Deployment centered on mapping end-to-end workflows used by Scheduling Services, Registration and Training teams, with ABBYY Timeline instrumented to visualize time-series process flows and event sequences typical of Process Mining deployments. Functional capabilities leveraged included process discovery, timeline visualization, variant analysis and event correlation to surface handoffs and training gaps, and these insights fed into training material creation such as PowerPoints, audio-annotated videos and job aids. Operational data for analysis referenced systems explicitly used by staff, including EPIC, Cisco, SharePoint, SupportPoint, Pathlore, the Geisinger Online Academic Learning System GOALS, Salesforce Marketing and the Engagement Center CRM, enabling ABBYY Timeline to represent cross-system workflows for onboarding and scheduling use cases. ABBYY Timeline outputs were consumed by System Analysts, Scheduling Services Leadership and training staff to inform course creation and transcript updates. Governance and rollout were coordinated with Training and Scheduling leadership, with responsibilities including creating and maintaining departmental new hire training materials, proofreading instructional content, adding completed trainings to staff transcripts in Pathlore and contributing to GOALS course development. Training delivery and operationalization occurred through one-on-one and classroom sessions, and staff participation in ABBYY Timeline projects was integrated into curriculum and training delivery workstreams.
Suncorp Group Banking and Financial Services 10500 $7.9B Australia ABBYY ABBYY Timeline Process Mining 2020 n/a
In 2020 Suncorp Group deployed ABBYY Timeline as a Process Mining application to instrument its automation landscape and provide process discovery and operational analysis across its automation pipelines. The implementation targeted event log ingestion and visual process mapping to support ongoing automation governance within Suncorp Group. ABBYY Timeline was configured to support process visualization, conformance checking and root cause analysis workflows, with event stream and case data mapped to process models. The project team developed and maintained automation in UiPath and Automation Anywhere while leveraging ABBYY OCR outputs for document driven processes, and contributed technical designs and specifications to align process mining models with existing automation logic. Integrations focused on tying ABBYY Timeline event ingestion into RPA log sources from UiPath and Automation Anywhere and incorporating OCR-derived data from ABBYY, enabling correlated process views across automated and human steps. Operational scope emphasized automation and business systems teams working together, with continual stakeholder engagement to refine event capture and process definitions. Governance and delivery followed agile practices, the team participating in planning, stand ups and retrospectives, and conforming to agreed quality assurance standards and operational processes. Team activities included analyzing and fixing automation issues, recommending changes to standard processes, contributing to solution design investigations, and proposing technical improvements as part of ongoing process mining and automation lifecycle management.
Telstra Communications 29520 $15.9B Australia ABBYY ABBYY Timeline Process Mining 2020 n/a
In 2020, Telstra implemented ABBYY Timeline as part of an enterprise Process Mining effort to source and model data to measure the effectiveness of current processes. ABBYY Timeline was deployed alongside Signavio as part of a broader Process Intelligence toolset to identify bottlenecks and surface opportunities for process improvement within the company. The ABBYY Timeline implementation concentrated on event log ingestion and process discovery, building visual timeline analytics and process models to support conformance checking and root cause analysis. Configuration work emphasized timeline reconstruction, activity classification, and scenario modeling to enable bottleneck detection and variant analysis within ABBYY Timeline. Integrations focused on federating event logs and operational data from enterprise application sources into ABBYY Timeline, with Signavio used in parallel for process mapping and governance workflows. The deployment targeted core operational and service workflows, aligning ABBYY Timeline process models with business function owners to create measurable process intelligence artifacts. Governance activities established data sourcing and modeling standards, defined stakeholder roles, and instituted iterative modelling and review cycles to operationalize insights from ABBYY Timeline. Rollout used staged adoption and regular model refinement to embed process intelligence into operational decision making, with Telstra retaining centralized control of event log quality and model governance.
Professional Services 360700 $5.1B United States ABBYY ABBYY Timeline Process Mining 2020 n/a
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Buyer Intent: Companies Evaluating ABBYY Timeline

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating ABBYY Timeline. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating ABBYY Timeline for Process Mining include:

  1. Pokeepsie Films Spain, a Spain based Media organization with 10 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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FAQ - APPS RUN THE WORLD ABBYY Timeline Coverage

ABBYY Timeline is a Process Mining solution from ABBYY.

Companies worldwide use ABBYY Timeline, from small firms to large enterprises across 21+ industries.

Organizations such as Telstra, Suncorp Group, Geisinger Health Plan, TriNet and ACERTUS are recorded users of ABBYY Timeline for Process Mining.

Companies using ABBYY Timeline are most concentrated in Communications, Banking and Financial Services and Healthcare, with adoption spanning over 21 industries.

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

Companies using ABBYY Timeline range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 16.67%, large organizations with 1,001-10,000 employees - 16.67%, and global enterprises with 10,000+ employees - 66.67%.

Customers of ABBYY Timeline 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 ABBYY Timeline customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Process Mining.