Case Studies — Elanova AI

Document Automation · Logistics

From 40 Hours of Data Entry to Zero

Three people manually keying 10,000+ invoices a month into the ERP — 40 hours a week, a 12% error rate, and a backlog that kept growing. Two earlier automation attempts had already failed.

Invoices now flow through the pipeline automatically — read, classified, and routed at 99% accuracy, with manual processing down 85%. The three people who used to key them in now focus on vendor negotiations.

Before

Manual entry → Spreadsheet → Email routing → 3 days / 12% errors

After

Invoice in → AI classify & extract → Auto-route to ERP → Minutes / 99% accuracy

Annual savings€155K

Error rate12% → <1%

3 FTEs redirected to higher-value work (est. €135K loaded salary) + error remediation and rework costs eliminated (est. €20K/yr).

AI Agents · SaaS

5,000 Conversations a Day — Without Hiring

5,000 support tickets a day. Two senior agents lost to burnout. Response times averaging 8 hours. A flagship enterprise client already asking questions about the SLA. The queue wasn’t a support problem — it was a business risk.

78% of those conversations now resolve automatically — the right answer pulled from a live knowledge base, no human in the loop. Complex cases still escalate, so the team chooses which problems deserve their time instead of drowning in volume.

Before

Email inbox → Manual triage → Agent reply → 8h avg response

After

Message in → AI agent + KB lookup → Auto-resolve or escalate → <2 min response

Annual savings€210K

Auto-resolved78% of tickets

Avoided hiring 5 additional support agents to handle volume growth. At ~€42K loaded cost per seat: 5 × €42K = €210K/yr in headcount not added.

Process Automation · Enterprise

The Workflow Engine That Replaced 6 Spreadsheets

Six spreadsheets, three email chains, and approval decisions that took days — sometimes longer. Every stakeholder waited on someone else. When anything slipped through the cracks, nobody could trace where.

Everything now moves through one platform — requests routed intelligently, approvals automated where rules allow, every item visible in real time. Approvals that took days now happen same-day, so the team spends less time chasing and more time deciding.

Before

6 spreadsheets → 3 email chains → Manual approval → Days of lag

After

Request in → Smart routing → Auto-approvals → Live tracking

Annual savings€105K

Approval cycleDays → same-day

6 team members reclaiming ~2h/day previously spent on manual routing and approval chasing. 6 × 2h × 250 days × €35/h (fully loaded) = €105K.

Web Application · Analytics

Ask Your Data a Question. Get an Answer.

A question goes into Slack at 9am. Someone pings the data team, a SQL query gets written, a report lands the next morning. By then the decision has been made without the data — or delayed waiting for it.

Type a question in plain English and the answer — with visualisation — appears instantly. No SQL, no data-team bottleneck, no next-day wait. Stakeholders get their numbers in the moment, and the data team gets its time back.

Before

Business question → Slack data team → SQL query written → Report next day

After

Type question → AI → SQL → Auto-visualise → Instant answer

Annual savings€78K

Query timeNext-day → instant

Recurring BI contractor reports eliminated (€39K/yr) + 12h/week of senior analyst time freed at €31/h × 50 weeks (€39K).

Website · Local Business

A Phone Repair Shop That Looks Like It Belongs in 2026

No website — just a Google Maps listing. Every customer who searched, found nothing credible, and moved on was a lost walk-in, in a market where trust is decided in 10 seconds on a phone screen.

caremyphone.de now answers every question a customer has before they call — services, pricing, repair process, real Google reviews. Bilingual, mobile-first, 98/100 PageSpeed, built in 3 weeks. Every section is built to turn a search into a walk-in.

Before

No web presence → Word of mouth only → Zero online trust signals

After

Google search → Fast bilingual site → Walk-ins & bookings

PageSpeed score98 / 100

Launch time3 weeks

Document Automation · Healthcare

From 3-Day Backlog to Same-Day Patient Intake

Receptionists spending hours every day transcribing paper forms, field by field, into the EHR. Errors creeping into patient records. Paper files scattered across the clinic — a GDPR exposure that hadn’t been properly audited in months.

Intake forms — handwritten or digital — now feed into the EHR the same day at 97%+ accuracy, with zero manual transcription. Each is validated before it syncs via HL7 FHIR API, then archived in an encrypted, GDPR-compliant store. The 3-day backlog is gone, and so is the compliance exposure.

Before

Paper form → Manual transcription → EHR data entry → 3-day backlog

After

Scan / upload → AI extraction + validation → FHIR API sync → Same day / 97% accuracy

Annual savings€175K

Intake backlog3 days → same-day

~7.5 FTE-hours/day of transcription eliminated across the clinic network (€47K) + reduced GDPR exposure (€40K risk premium) + same-day processing unlocks patient throughput gains (€88K).

Process Automation · Finance

Month-End Close in 4 Days, Not 12

12 working days every month, four analysts, hundreds of manual reconciliation steps — and a 30% rework rate because entries didn’t match first time. Every close cycle was the same fire drill.

Close now takes 4 days. Transaction feeds are ingested, matched across accounts, and exceptions flagged automatically, with audit-ready reports generated on schedule. The analysts still handle the work that needs a human — the edge cases — not the work a machine does better.

Before

Raw feeds → Manual matching → 30% rework → 12-day close

After

Transaction feeds → AI reconciliation engine → Exception queue → 4-day close / 99% accuracy

Annual savings€175K

Close cycle12 days → 4 days

4 analysts × 8 working days recovered per monthly close × 12 months × €365/day = €140K direct labor + restatement and rework costs eliminated (est. €35K).

AI Agents · E-commerce

800 Returns a Week. Handled in 6 Hours, Not 4 Days.

800+ returns every week, processed by hand — customer emails, product photos, reason codes, policy checks. Four people overwhelmed, decisions inconsistent depending on who picked up the ticket, and customers waiting 4 days for a refund answer. Every day of that wait is a customer who won’t buy again.

Returns are now processed in 6 hours. Every request is read, product photos analysed, and policy applied consistently — full refund, partial, or reject with a clear reason. Only genuine edge cases reach a human, and the team went from 4 people firefighting to 1 managing exceptions.

Before

Customer email + photos → Manual policy check → Human decision → 4-day SLA

After

Return request → AI classify + vision check → Auto-decision → 6h SLA

Annual savings€155K

Decision SLA4 days → 6h

Returns team reduced from 4 FTEs to 1 (3 × €38K = €114K saved) + consistent policy enforcement cuts fraud and chargeback losses (est. €41K/yr).

Document Automation · Manufacturing

ISO Audit Prep: From 6 Weeks to 3 Days

40+ production lines, and every ISO audit cycle meant 6 weeks of analyst time — pulling records, compiling reports, cross-referencing specs, hunting for gaps. Documentation never stayed current between cycles, so every audit started from scratch — expensive, and unsustainable.

Production data now feeds the compliance system continuously. ISO-formatted reports generate on schedule, a tamper-evident change log maintains itself, and documentation gaps get flagged before auditors find them. The next audit took 3 days to prepare, not 6 weeks — with zero findings on documentation completeness.

Before

Production records → Manual compilation → Gap hunting → 6-week audit prep

After

Live production data → Auto ISO report gen → Proactive gap alerts → 3-day audit prep

Annual savings€130K

Audit prep6 weeks → 3 days

4 analysts × ~48 weeks of audit prep reclaimed at €1,100/wk = €53K + external ISO consultancy eliminated (€65K) + avoided non-conformance penalties (€12K).

Work That Ships.Results That Hold.

From 40 Hours of Data Entry to Zero

5,000 Conversations a Day — Without Hiring

The Workflow Engine That Replaced 6 Spreadsheets

Ask Your Data a Question. Get an Answer.

A Phone Repair Shop That Looks Like It Belongs in 2026

From 3-Day Backlog to Same-Day Patient Intake

Month-End Close in 4 Days, Not 12

800 Returns a Week. Handled in 6 Hours, Not 4 Days.

ISO Audit Prep: From 6 Weeks to 3 Days

Work That Ships.
Results That Hold.