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Process Automation

Work that moves by itself.

Karven builds AI process automation for European companies: systems that carry a process from intake through enrichment, routing, approval, and follow-up — across your ERP, CRM, and helpdesk — with people stepping in only where their judgment is needed.

What AI process automation does

Every operation runs on processes that someone has to push: requests arrive by email, get retyped into a system, wait for an approval, and need a follow-up that depends on somebody remembering. AI process automation replaces the pushing. The system receives the work, enriches it with the context it needs, routes it to the right person or system, and follows up until it is done.

The AI layer is what separates this from classic RPA. Where script-based automation breaks on the first unusual case, an AI-driven process reads free-text emails, interprets messy inputs, and makes routing decisions with confidence scores — escalating to a person when a case is genuinely ambiguous.

We start from your process as it actually runs, not as the org chart says it should. The audit maps the real flow — including the workarounds and exceptions — and we automate the repetitive 80% while making the remaining 20% easier for your team to handle.

Human checkpoints. Approvals stay with your team where they matter.

Built on your tools. The system works inside what you already use.

Measured from day one. Time saved and error rates tracked per step.

Typically connects to

Ticketing & helpdeskERPCRMSpreadsheetsInternal APIs

How we build it

01

Process audit

We trace the process end to end — volumes, handoffs, exceptions, and the hidden steps that live in inboxes and spreadsheets.

02

Intake & enrichment

The system captures work from email, forms, and tickets, and enriches each case with data from your CRM, ERP, or databases.

03

Rules & AI routing

Deterministic rules handle the clear cases; AI handles interpretation and edge cases, with every decision logged.

04

Monitoring & improvement

Dashboards show throughput, exception rates, and hours saved. The system improves as it sees more of your cases.

Processes worth automating first

Order-to-invoice flow

Orders arriving by email and portal are captured, checked against stock and pricing, confirmed to the customer, and invoiced — with exceptions flagged to your team.

Customer request triage

Incoming requests are classified, prioritised, enriched with account context, and routed to the right queue with a suggested response attached.

Approvals and escalations

Approval chains run themselves: the system assembles the file, notifies the approver, sends reminders, and escalates when deadlines slip.

Reporting and reconciliation

Weekly reports, cross-system reconciliations, and data quality checks run on schedule and arrive ready for review.

FAQ

Process automation, answered

How is AI process automation different from RPA?

RPA replays clicks and breaks when a screen or a format changes. AI process automation works at the data level and uses language models to interpret unstructured input, so it absorbs the variation that would break a script — a supplier changing their invoice layout becomes a routine event.

Do we need to change our existing tools?

The automation layer connects to what you already run — ERP, CRM, helpdesk, spreadsheets, internal APIs. Your team keeps their tools; the system moves the work between them.

What happens when the system gets a case wrong?

Every decision carries a confidence score and an audit log. Low-confidence cases route to a person by design, and corrections feed back into the rules — so the exception rate falls month over month.

How do we measure the return?

We baseline the process before the build: hours per case, error rate, cycle time. After go-live, the same dashboard tracks the automated flow — so the savings are a number you can show your CFO, sustained over time.

Pick the process that hurts the most

Book a discovery call and walk us through one process. We'll map what can run on its own, what stays with your team, and what the build would take.

Book a Discovery Call