SaraMana Launches AI Automation Tool to Design Workflows and Increase Productivity

SaraMana Business Solutions, a leading managed technology services provider (MTSP), announced the launch of a new AI-powered automation solution designed to help small and mid-sized businesses complete repetitive back-office work faster, improve accuracy, and create more efficient workflows without requiring employees to become software developers. Most businesses have routine processes that consume far more time than owners realize: accounting teams compare invoices with billing records, managers assemble reports from several data systems, employees copy data between spreadsheets and follow up on incomplete forms. Individually these tasks look minor. Across an entire organization they absorb hundreds of employee hours while creating opportunities for mistakes, delays and inconsistent results.

Businessperson in a suit holding a phone in front of a glowing blue holographic dashboard labeled Innovation Technology, centered on an AI chip graphic.

Unlike traditional chatbots that explain how to perform a task, the new AI Workflow Automation technology carries out a series of approved steps and delivers a finished result. “Most businesses do not need another piece of software that gives their employees more work,” said Ben Nydegger, Director of Software Solutions at SaraMana Business Solutions. “They need technology that can take a repetitive process off someone’s desk and complete it accurately. The goal is not to automate everything simply because we can. The goal is to identify work that repeatedly consumes valuable employee time and ask whether technology can handle the routine portion more efficiently.”

Still rekeying data between spreadsheets and chasing down incomplete forms? SaraMana can help you identify one repetitive process and design an automation around the way your business already works.
See how AI workflow automation gives those hours back.

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SaraMana Business Solutions

1618 Barber Road|Sarasota, FL 34240|(888) 301-2679

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