Mergen embeds Now Assist across ServiceNow workflows, using generative AI skills to summarize records, draft responses, and recommend next actions grounded in enterprise data.
Explore Now Assist & Generative AIGrounded generative AI skills embedded directly in ServiceNow records and workflows.
Mergen applies machine learning classification and similarity models that categorize, prioritize, and route work automatically, reducing manual triage across departments.
Machine learning models classify, prioritize, and route enterprise work automatically.
Mergen builds conversational virtual agents that resolve common employee and customer requests around the clock, escalating to a human only when needed.
Conversational automation resolves common requests and hands complex work to people with full context.
Mergen implements AI-powered search that surfaces relevant knowledge, records, and answers across ServiceNow and connected systems from a single query.
One intelligent query surfaces relevant knowledge and records across connected enterprise systems.
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Mergen configures AI capabilities that draw on actual workflow and platform data, not generic model output disconnected from the organization’s real processes.
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Mergen implements governance and oversight controls from the start, keeping automation auditable as adoption scales across departments.
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Mergen’s ServiceNow-certified consultants configure Now Assist, predictive intelligence, and virtual agents using accelerators refined across enterprise AI engagements.
A structured methodology refined across enterprise AI and automation engagements, adapted to how each organization actually works.
Mergen evaluates current AI readiness, workflow volume, and manual effort across departments to identify where generative AI and automation will have the greatest impact.
Mergen designs the target-state AI architecture, including Now Assist skills, predictive models, and virtual agent flows, aligned to governance requirements and business priorities.
Mergen configures and tests AI capabilities within a fixed-scope engagement, validating outputs against real workflow scenarios before go-live.
Mergen continuously tunes AI models and expands automation coverage as adoption grows and new use cases emerge.