AI & Automation

Practical AI that works with the data you already have

AI is not just for large enterprises with dedicated data science teams. Small and mid-sized businesses sit on valuable data across accounting systems, CRMs, and operational tools — data that can drive real efficiency gains when paired with the right automation. Applied Technology builds AI and automation solutions sized for your business: focused on measurable outcomes, not hype.

We meet you where you are. Whether that means adding a predictive model to an existing data pipeline or automating a manual workflow that consumes hours every week, we design solutions that integrate with your current systems and scale as your needs grow.

What this looks like in practice

Intelligent document processing

Automatically extract, classify, and route information from invoices, contracts, and forms — reducing manual data entry and speeding up back-office workflows.

Predictive analytics

Apply machine learning models to your existing data to forecast demand, flag anomalies, and surface trends before they become problems.

Workflow automation

Connect your line-of-business apps with AI-powered logic so routine tasks — approvals, notifications, data syncing — happen without human intervention.

Natural language interfaces

Give your team the ability to query databases, summarize reports, and search internal knowledge bases using plain English instead of specialized tools.

Case study: Automating invoice processing for a regional distributor

A regional building-materials distributor was processing around 800 vendor invoices per month by hand. Staff manually keyed line items into their ERP, cross-referenced purchase orders, and flagged discrepancies over email. The process was slow, error-prone, and consumed roughly 60 hours of staff time each month.

Applied Technology deployed an intelligent document processing pipeline that uses an AI model to extract structured data from scanned and emailed invoices. Each invoice is automatically matched against open purchase orders, and discrepancies are routed to the appropriate buyer for review. Clean matches flow straight into the ERP with no manual touch.

Within the first month, the company reduced manual entry time by over 70 percent. Exception handling — the invoices that genuinely need human review — now takes a fraction of the time because staff only see the items that require a decision, not the entire backlog.

70% reduction in manual processing time

By letting AI handle the routine extraction and matching, staff focus shifted from data entry to exception handling and vendor relationship management.

Ready to put AI to work in your business?

Reach out to discuss how we can identify the highest-impact automation opportunities in your operations.