AI for Operations

The Mphasis AI for Operations service enables enterprises to innovate and optimize their technology operations. We leverage our patented AI/ML platforms and frameworks to engage with clients across multiple use cases such as user journey analysis across multiple channels, incidents prediction in the enterprise technology infrastructure, etc. We help enterprises target impactful AI/ML interventions that can drive business benefits. Our Assessments, Workshops, and Implementations identify the most relevant use cases for operations and outline the potential benefits such as faster time-to-resolution, operational cost reduction and revenue generation.

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Overview

Approaches based on AI/ML remove inefficiencies impacting user experience and enterprise technology performance. The Mphasis AI for Operations service leverages our expertise to model data related to user journeys, system interactions, technology infrastructure and applications for process and performance analysis.

Assessments & Workshops

Our Assessments and Workshops help clients get started with their AI initiatives specific to technology operations. This engagement enables clients to plan and identify the relevant problems which could be solved effectively using AI. Assessments are a fast way of identifying if AI is the relevant technology to leverage for solving a problem. In the workshops, the Mphasis AI experts, SMEs, architects, and data scientists work closely with the client stakeholders to understand technology operations and associated business processes. The engagement includes activities such as stakeholder interviews, assessment and user journey workshop, identification of frameworks and tooling, gap analysis, understanding and assumptions, recommendation of solution, and report-out. The typical assessment and workshops exercise is 3-4 weeks. The outcomes of this exercise are a prioritized set of use cases, recommended solution approaches, frameworks and tooling, reference architecture and required infrastructure.

Algorithm Development and Implementation

Algorithms Development and Implementation is a 2–3 month long engagement, where we bring our AI IPs as well as customizations to solve the specific client problems. Our services are powered by patented and patent pending AI/ML platforms and frameworks such as Optimize.AI and Infragraf. Mphasis IPs consist of 200+ pre-built and customizable Machine Learning, Deep Learning and Natural Language Processing algorithms. Our IPs help clients arrive at actionable recommendations faster and provide measurable results across scenarios. Our experience in AI/ML algorithm development and implementation spans several operations use cases as follows:

process analysis to improve customer experience
device health prediction to reduce infrastructure downtime
complex interdependency analytics to predict cascading effects and prevent interconnected failures
root cause analysis to identify the cause of failures
optimize maintenance schedule and service downtimes
optimize infrastructure incidence management

Highlights

Services leverage proven and patented cognitive intelligence solutions that are trusted by several Fortune 100 clients.
Faster time-to-market with 200 plus prebuilt machine learning models which can be assembled and configured rapidly to accelerate the solution development.
The cognitive engine leverages the best of machine learning and deep learning algorithms to analyze operations and processes.

Details

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Pricing

Custom pricing options

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Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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