AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of Pega Process Mining (Formerly EverFlow) Customers

loading spinner icon



Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Applift Professional Services 20 $2M United States Pegasystems Pega Process Mining (Formerly EverFlow) Process Mining 2022 n/a
In 2022, Applift implemented Pega Process Mining (Formerly EverFlow) for Process Mining. The deployment at the United States based professional services firm was oriented toward process discovery and event analytics to surface execution paths across customer engagement and delivery workflows. Applift is using EverFlow on their website to capture interaction event data and feed the process mining environment for visualization. The narrative includes the full application name Pega Process Mining (Formerly EverFlow) and the Apps Category Process Mining to clarify the implementation taxonomy. Implementation focused on core Process Mining capabilities, including automated process discovery, variant analysis, conformance checking, and dashboarded process model visualization. Configuration emphasized event log ingestion from web interaction sources, normalization of timestamps and case identifiers, and the creation of reusable process views for operations and delivery teams. Pega Process Mining (Formerly EverFlow) was configured to support iterative analysis cycles rather than broad enterprise orchestration, reflecting Applifts 20 person operational scale. Operational coverage centered on the operations and delivery functions with analytics surfaced to product and client success stakeholders. Governance practices were established to manage event schema and access to process views, with role aligned dashboards for analysts and managers. The rollout pattern emphasized incremental instrumentation of the website event stream using EverFlow as the primary data source, enabling ongoing process variant monitoring within the Process Mining category.
Aragon Advertising Professional Services 10 $1M United States Pegasystems Pega Process Mining (Formerly EverFlow) Process Mining 2020 n/a
In 2020, Aragon Advertising deployed Pega Process Mining (Formerly EverFlow) to instrument its website for Process Mining. The deployment concentrated on web event capture and pipeline instrumentation, using the Pega Process Mining application to generate event logs, perform process discovery, and produce process visualization of website-driven client engagement workflows. Functional modules implemented included process discovery, variant analysis, process visualization, and dashboarding to expose operational workflows tied to marketing and client services. Operational scope covered company-wide digital engagement and client onboarding sequences for this small professional services firm, with centralized configuration and iterative governance by the digital operations lead to tune conformance rules and visualization filters.
Autofiliate Professional Services 10 $1M United States Pegasystems Pega Process Mining (Formerly EverFlow) Process Mining 2021 n/a
In 2021, Autofiliate implemented Pega Process Mining, formerly EverFlow, to introduce Process Mining capability into its operational toolkit. The initial deployment focused on instrumenting the company website to capture event streams and session-level traces that feed process analysis. Pega Process Mining was configured to run core process discovery, conformance checking, and performance analysis workflows that visualize end-to-end client acquisition and service delivery sequences. Configuration emphasized event ingestion from website interactions, mapping page and click events to business activities to generate process models and highlight variance and bottlenecks. Operational scope concentrated on the small Autofiliate operations and marketing functions, with governance and ownership retained internally by the company to prioritize use cases and refine models. Rollout proceeded incrementally, starting with web-based flows for client onboarding and then expanding analytic coverage as event taxonomy and activity mappings matured.
Retail 24 $9M United States Pegasystems Pega Process Mining (Formerly EverFlow) Process Mining 2022 n/a
Retail 12 $2M United States Pegasystems Pega Process Mining (Formerly EverFlow) Process Mining 2022 n/a
Manufacturing 50 $5M United States Pegasystems Pega Process Mining (Formerly EverFlow) Process Mining 2022 n/a
Retail 150 $50M United States Pegasystems Pega Process Mining (Formerly EverFlow) Process Mining 2022 n/a
Communications 10000 $6.8B Brazil Pegasystems Pega Process Mining (Formerly EverFlow) Process Mining 2019 n/a
Professional Services 18 $5M United States Pegasystems Pega Process Mining (Formerly EverFlow) Process Mining 2020 n/a
Leisure and Hospitality 1700 $500M United States Pegasystems Pega Process Mining (Formerly EverFlow) Process Mining 2022 n/a
Showing 1 to 10 of 54 entries

Buyer Intent: Companies Evaluating Pega Process Mining (Formerly EverFlow)

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

  1. Relconsoft, a United Kingdom based Professional Services organization with 10 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD Pega Process Mining (Formerly EverFlow) Coverage

Pega Process Mining (Formerly EverFlow) is a Process Mining solution from Pegasystems.

Companies worldwide use Pega Process Mining (Formerly EverFlow), from small firms to large enterprises across 21+ industries.

Organizations such as Claro Brasil, The Gillette Company, MLS League Office, Cookunity and Liquid Death are recorded users of Pega Process Mining (Formerly EverFlow) for Process Mining.

Companies using Pega Process Mining (Formerly EverFlow) are most concentrated in Communications, Manufacturing and Leisure and Hospitality, with adoption spanning over 21 industries.

Companies using Pega Process Mining (Formerly EverFlow) are most concentrated in Brazil and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Pega Process Mining (Formerly EverFlow) across Americas, EMEA, and APAC.

Companies using Pega Process Mining (Formerly EverFlow) range from small businesses with 0-100 employees - 70.37%, to mid-sized firms with 101-1,000 employees - 22.22%, large organizations with 1,001-10,000 employees - 5.56%, and global enterprises with 10,000+ employees - 1.85%.

Customers of Pega Process Mining (Formerly EverFlow) 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 Pega Process Mining (Formerly EverFlow) customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Process Mining.