"By 2024, organizations will lower operational costs by 30% by combining hyper automation technologies
with redesigned operational processes."
Business-as-Usual (BAU) Processes require continuous monitoring, issue resolution & root cause analyses along with periodic upgrades and change request implementations- all critical to successfully manage the BAU processes. Most of the failures recurring in nature can be easily avoided through standard preventive measures while some can be avoided through automation. Through automation of manual processes we can avoid human errors, delays, inaccuracies, operational cost and time.
With our unique AI Enabled Model, we have helped many of our clients manage their BAU operations successfully. We undertake ownership of End-to-End BAU operations and free up your team members for other high value tasks.
Featured case study
Improving Agent Productivity & Collection Efficiency
Learn how we helped a growing bank improve collection efficiency of each agent on a daily basis in a cost effective manner.
Download the case study>
Users' licensing cost was saved
Significant saving of time
Reshape BAU management with robotic automation
Keep track of scheduled jobs, reports, tasks, BI dashboards, server health, etc. and generate periodic audit reports
Apply data validation, business validation rules or custom validation rules
Send alerts through emails to support teams for timely decision making
Take corrective action like editing reports, re-running jobs, following escalation matrix, etc.
Keep your software up-to date
Track and monitor the status of daily tasks for improved efficiency
Learn how we helped a growing bank improve their collection efficiency of each agent on a daily basis in a cost effective manner
Learn how we helped a leading real estate optimize their operations and improve customer satisfaction with ML interventions
Learn how we helped a leading InsurTech platform enhance their customer engagements through Whatsapp bots
Learn how we helped a leading banking and financial services groups improve their agents’ productivity with the help of conversational analytics
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