Does your AP run on autopilot?

It can with AI.

Medius makes autonomous accounts payable real with agentic AI that sees, learns, and acts, accelerating invoice processing, spotting fraud early, and resolving supplier questions without manual effort. With 2.4 billion+ invoice field data points powering its models, Medius delivers a 96.3% touchless processing rate for PO invoices, versus a 23.4% market average and a 57% key peer average. That gap is not a feature difference. It is a data moat built over 10+ years that no startup deploying off-the-shelf Claude or GPT can replicate.

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Core capabilities of autonomous AP systems.

Medius embeds AI and machine learning across the source-to-pay process—from invoice capture and coding to
supplier conversations, approvals, and fraud detection powered by intelligent agents.

This is what’s handled automatically:

E-invoice and EDI format detection
Header and line-level data capture with 99% accuracy
Smart coding for PO and non-PO invoices
Multi-layout and invoice-type recognition
Supplier and company identification
Anomaly and fraud detection, including AI-generated receipts
Real-time assistance for approvers
Automated supplier Q&A
Payment approvals for trusted vendors
Expense reviews with fraud and policy checks

Medius works quietly in the background, flagging only what matters and getting smarter with every invoice. That intelligence is built on 10+ years of continuous AI development, an AI-native architecture since 2016, and on proprietary models that are 947x faster and 25x more cost-effective than general-purpose LLMs for core invoice extraction. No startup can replicate that overnight.

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AP automation vs. Autonomous AP

There’s a big difference between automation and autonomy.

Most AP tools speed up tasks, but still rely on your team to check boxes, resolve issues, or follow up.
Autonomous AP removes the manual work entirely. It doesn’t just react, it understands, decides, and acts.

Medius combines agentic AI, machine learning, and embedded AI assistants like Medius Copilot to:

Capture and classify invoice data across formats.

Interpret supplier behavior, spend patterns, and process rules.

Make confident decisions on matches, routing, and approvals.

Surface only the exceptions that need human judgment.

Provide context and support in real time when you do need to step in.

Autonomy means your AP process works without waiting on you, and when your input is needed, it brings insights with it. Medius Supplier Conversations reduces supplier inbox management from ~8 hours per week to ~30 minutes, a ~94% reduction, by autonomously classifying, contextualizing, and responding to supplier emails. Medius Copilot delivers real-time approval guidance and invoice analysis directly in the workflow.

Unlike rules-based competitors, Medius does not require suppliers to join a proprietary network to participate, enabling near-100% supplier coverage from day one.

Buyer’s comparison guide for AP automation: AI vs. traditional tools - guide cover

AI vs. Traditional Automation

What’s the actual difference?

Learn the key capabilities that separate AI-driven AP from outdated automation tools.

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Current adoption rates for AI in accounts payable

AI in accounts payable isn’t a future trend. It’s a present advantage. Nearly half of the organizations haven’t made the leap from automated to autonomous, but recent research shows a big change is coming.

44% of AP teams are currently using AI in AP, but over the next 12 months, that number is expected to rise to 75%.

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AI-powered AP performance benchmarks and KPIs.

Our AI-powered AP platform works across accounts payable, procurement, and expense management to deliver clarity where it matters most—cash flow, compliance, and confidence.

See results from Medius clients. How do you compare?

	KPI	AVERAGE	BEST-IN-CLASS
PO Invoices
	Total invoice processing cycle time	5.61 days	0.98 days
	Touchless capture rate	69.3%	99.3%
	Touchless processing rate	63.31%	92.32%
Non-PO Invoices
	Total invoice processing cycle time	7.43 days	2.04 days
	Touchless capture rate	70%	98.8%
	Automatic routing rate	64.42%	99.58%
	Average approval time	3.27 days	0.69 days

AP Benchmarks Report

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AP in action

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Business benefits and ROI of autonomous AP

If these still remain your biggest AP challenges:

Source: Data collected at the SSON's AP Automation Virtual Summit 2024

And, you can address these challenges head-on with AI-powered AP automation, why wouldn’t you do it?

Here’s how Medius AI helps:

Adapts to change

Handles new formats, rules, and exceptions automatically.

Personalizes workflows

Tailors processes to fit your business structure and priorities.

Surfaces insights

Detects risks, anomalies, and trends in real time.

Increases productivity

Runs 24/7 to reduce cycle times and clear backlogs.

Strengthens compliance

Logs every action for full auditability—even when fully autonomous.

Reduces fraud

Flags suspicious activity and AI-generated receipts before payment, cutting fraud and error rates by up to 95%.

Frees up your team

Eliminates repetitive tasks so AP can focus on strategy.

Strengthens vendor relationships

Speeds up payments and reduces follow-up from suppliers.

Improves cash forecasting

Delivers real-time visibility into spend across AP and expenses.

Why autonomous AP pays off.

The average enterprise pays ~$9.87 to process a single invoice and takes 9–17 days to close it. Medius customers at best-in-class performance reach ~$2.81 per invoice in approximately 3 days, roughly a 3x reduction in both cost and cycle time. AI-powered fraud detection further reduces payment fraud and error rates by 90–95%. At scale, processing 6 million invoices per month, that cost difference alone translates to approximately $967,000 in annual savings compared to an LLM-only processing approach. These gains are recognized independently: Medius is named a Leader by Ardent Partners, recognized by Gartner in its Market Guide for Invoice-to-Pay Solutions, and top-ranked by The Hackett Group in its SolutionMaps for procure-to-pay and AP automation. Medius also holds a +64 NPS versus a 39 average across core peers, reflecting the difference between automating tasks and eliminating them.

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