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AI operations automation that runs your back office.

Prosoft USA is a software development company, and our enterprise AI automation services build on that. We add custom AI operational workflows to your software and marketplace platforms, and connect the legacy systems you already run.

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Software-firstCustom development sits under every automation
Legacy-firstWe integrate with what you run today
Human in the loopReview steps on every critical workflow
Your data stays yoursNDA and data-handling terms up front

Three ways we automate operations

Intelligent process automation works best when agents, data and reporting are designed together. We build each layer to fit your workflows, not the other way round.

1

Custom AI operational agents

Agents that read documents, route requests, reconcile records and hand exceptions to your team. Built for your rules and your systems.

2

Automated data pipelines and sync

Reliable feeds between your ERP, CRM, marketplaces and legacy databases, so AI-driven operational efficiency starts from clean data.

3

Business intelligence and predictive analytics

Dashboards and forecasts that flag stock-outs, late payments and capacity limits before they cost you.

Automation built into your software and marketplaces

AI works best inside the platforms your business runs on. Our core work is software development and marketplace customization, so we build the automation into the product instead of bolting it on.

Custom software development

Web apps, internal tools and integrations, with AI workflows designed in from the first sprint. Custom AI integration goes into your codebase, not a separate tool your team has to manage.

Marketplace customization

Catalog, order, vendor and fulfilment workflows on your marketplace platform, automated with AI. Listings, pricing rules and payouts run with fewer manual steps.

Business processes that automate well

Enterprise workflow automation with AI pays off fastest where work is high-volume, repeatable and slowed by manual hand-offs.

Finance operations

Invoice capture, matching and reconciliation.

Supply chain

Inventory, purchase orders and supplier updates.

Customer support

Ticket triage, drafting and escalation routing.

HR and onboarding

Requests, document checks and system provisioning.

Compliance and audit

Policy checks, evidence collection and logs.

Reporting

Scheduled reports assembled from many sources.

How we add AI to legacy systems

AI automation for legacy systems does not need a rewrite. We add a controlled integration layer and move one workflow at a time.

  1. Map

    Review the workflow, its data and the legacy interfaces it touches.

  2. Connect

    Build custom AI integration through APIs, database views or file exports.

  3. Pilot

    Run one workflow with human review and a measured baseline.

  4. Scale

    Extend to more workflows and monitor accuracy and cost.

Python
OpenAI
LangChain
TensorFlow
PyTorch
AWS
PostgreSQL
Kafka
Snowflake
Docker
Kubernetes
Node.js











Find the first workflow worth automating.

Tell us where your team loses the most hours. We will scope a pilot around it.

Talk to our team

What clients say

Placeholder quotes for layout only. Replace with real client testimonials before launch.

“Sample quote: the pilot workflow cut our manual hand-offs and gave the team time back.”

Placeholder, Operations Director, Sample Co.

“Sample quote: they connected our older ERP without disrupting daily work.”

Placeholder, CTO, Sample Co.

“Sample quote: clear reporting, clear scope, and no surprises on data handling.”

Placeholder, Founder, Sample Co.

“Sample quote: the forecasts helped us plan inventory with more confidence.”

Placeholder, COO, Sample Co.

AI operations automation: common questions

How does AI operations automation reduce enterprise manual workload?

It hands repetitive, rules-heavy work such as data entry, document routing, reconciliations and status updates to AI agents and workflows, so staff step in only for exceptions and decisions. Intelligent process automation also cuts rework by validating data at the source.

What business processes benefit most from custom AI operational automation?

High-volume, repeatable processes with structured or semi-structured inputs benefit most: invoice and order processing, customer-support triage, inventory and supply-chain updates, compliance checks, reporting and employee onboarding.

How to integrate AI automation models into legacy software systems?

Map the legacy system’s interfaces first: APIs, database views, file exports or screen-level access. Then add an integration layer of connectors, queues and sync jobs so AI models read and write through it without rewriting the core system, and roll out one workflow at a time with human review.

What is the ROI of implementing enterprise AI process automation?

ROI comes from hours saved, fewer errors, faster cycle times and avoided hiring, measured against build and run costs. We baseline the current workflow before building so results are compared with your own numbers rather than industry averages.

How to safeguard proprietary enterprise data when deploying AI automation?

Keep data in your environment or private cloud where possible, apply role-based access and encryption, log every model call, and choose model providers whose terms exclude training on your data. Put NDAs and data-handling agreements in place before work starts.

Prosoft USA is a software development company and AI operations automation company in the USA. As an enterprise AI automation agency serving New Jersey and US businesses, we provide custom AI automation services in NJ and across the country as a US AI operational engineering firm, alongside our marketplace customization work.