Finance
22k/mo
Invoice processing agent
22k invoices / month, 94% extraction accuracy.
AI & Automation
No more repetitive work. Only value-creating work.
Invoice processing, customer service, sales support, document analysis, email triage, content generation — we hand the repetitive, fuzzy or high-volume work in your company to AI agents and automation flows. Your team focuses only on what truly needs human intelligence.
agent.partnerfy.co
online
Inbound email
"I need info about invoice F-29104."
AI agent processing
tool: lookupInvoice("F-29104")
tool: checkShipment("F-29104")
composing answer…
AI
Invoice F-29104 was issued on 24.05.2026, € 280. Shipped today via UPS (1Z2A…).
Done
3.2s · 4 minutes saved
What we automate
The work your company repeats every day — no longer your team's job.
01
Invoice & document reading
OCR + AI turns incoming invoices, dispatch notes, contracts into structured data.
02
Customer-service agent
WhatsApp, email, chat — 24/7 first-level reply with smart hand-off to humans.
03
Lead scoring & routing
Incoming inquiries are scored and routed to sales in the right order.
04
Email triage
Thousands of emails auto-categorised, tagged and routed to the right person.
05
Content & reporting
Brand-aligned blog posts, product descriptions, monthly reports — draft from AI, final from you.
06
Document Q&A (RAG)
Reliable answers to questions grounded in your own internal documents.
07
Voice AI assistant
A voice agent that reduces call-centre load, books appointments, gives info.
08
Process automation (RPA)
Ends repetitive clicks and copy-paste across systems.
Architecture
Not just "calling the ChatGPT API". A proper agent architecture.
01
LLM selection
GPT-5, Claude, Gemini, Llama, your own model — per task.
02
RAG foundation
Vector DB + embeddings + grounded answers.
03
Tool calling
The agent does real work by calling your existing tools.
04
Memory & sessions
Per-user, per-customer, per-session context.
05
Hallucination control
Cite-and-verify, schema enforcement for output correctness.
06
Cost & oversight
Token budgets, model routing, spend alerts.
Tech
Every piece of the modern AI stack.
OpenAI GPT-5
Anthropic Claude
Google Gemini
Meta Llama
LangChain
LlamaIndex
Pinecone
Weaviate
Qdrant
OpenAI Embeddings
Whisper (voice)
Coqui TTS
n8n
Temporal
Pgvector
Redis Stack
Security & Data
Your data doesn't leak. If required, it never leaves your premises.
01
KVKK / GDPR alignment
Data minimisation, subject rights, consent management.
02
PII masking
Personal data masked in payloads sent to the LLM.
03
On-prem & private LLM
Llama, Mistral or your own model, on your own server.
04
Logging & audit
Auditable record of every request and response.
05
Budget control
Auto-shutdown + alert on cost anomalies.
06
Version control
A/B testing when a new model lands, to avoid regressions.
Process
Talk → POC → production — in up to 4 months.
-
01
Process discovery
We jointly identify repetitive, fuzzy or high-volume work.
-
02
PoC
A proof in 2-4 weeks: real data, measurable result.
-
03
Architecture call
Cloud LLM or on-prem; RAG or not; which agent pattern.
-
04
Production engineering
Logging, monitoring, retries, A/B testing, budget alerts.
-
05
Launch & training
A panel for your team + training on managing the agents.
-
06
Continuous improvement
Model updates, prompt revisions, KPI tracking.
Impact
What changes when AI takes over a process?
0%
manual effort reduced (median)
0%
response time reduced
0+
AI agents live in production
0k+
documents processed / month
Stories
AI engagements across industries.
Telco
60% deflection
WhatsApp customer service
62% full first-level resolution; rest to humans.
Legal
12 min / contract
Document analysis & summary
Contract review time 4 hours → 12 minutes.
Health
38% ↓
Voice booking agent
Call-centre load down 38%.
E-commerce
180k SKUs
Product description generation
180k SKUs, multilingual content.
Enterprise
8 teams
Internal RAG assistant
Teams ask questions to their own docs.
FAQ
Most asked
Per your choice. We offer PII masking on sensitive data, zero-retention configurations and an on-prem model option. In some projects, not a single byte leaves the company.
We ground answers in documents via RAG, enforce output structure via schemas, and use cite-and-verify. If risk remains, we add human approval on critical answers.
A typical PoC takes 2-4 weeks. Fixed scope, fixed price. If the PoC produces no measurable result, there is no commitment to a next step.
There is no single right model. We pick by task (summarisation, classification, generation, code, voice) and cost target. Most systems combine multiple models.
No. AI agents speak on top of your existing systems — via API integrations or tool-calling. Zero changes are possible.
Every automation has predefined KPIs: time saved, conversion, deflection, error rate, cost. We track them with a monthly report.
Let go of the repetitive work. Focus on value creation.
In a 30-minute call we pick the right process and define the PoC scope together.