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Production AI Systems & Autonomous Agents

AI that operates inside your business, not in a chatbox.

We architect and deploy autonomous AI agents that ingest complex documents, reconcile multi-party accounting data, predict technical pricing, and enforce compliance directly within your existing software stack.

92%
Reduction in manual document triage & data entry
< 45s
Average invoice extraction to ERP database mapping
99.4%
Entity matching precision on registered counterparties
3.8x
Faster construction tender generation with historical RAG
Architecture & Engineering

How we integrate autonomous AI into enterprise systems

Our agents do not live in isolated sandboxes. They operate as deterministic, stateful background workers deeply wired into mail servers, relational databases, and enterprise APIs.

01

Ingestion & Perception

Real-time IMAP email streams, webhook listeners, high-density multimodal OCR, PDF coordinate bounding boxes, and document layout parsing.

02

Cognitive Reasoning & RAG

LLM reasoning engines augmented with vector embeddings, semantic search across historical databases, and company registry graph lookups.

03

Deterministic Guardrails

Strict Pydantic and PHP type schemas ensure zero mathematical hallucinations. Confidence scoring isolates borderline cases for review.

04

Execution & Escalation

Direct ERP database mutations, automated email dispatch, and instant escalation to team leaders whenever anomalies are flagged.

Case 01 · FinTech & Factoring

Mantaflow: Autonomous Invoice Ingestion & Entity Matching

The Operational Bottleneck: Factoring institutions receive hundreds of multi-page invoices daily in differing PDF layouts, scanned formats, and mixed languages. Manual OCR inspection, creditor validation, and debitor account mapping consumed hours and risked costly account errors.
1

Stream Listener & Attachment Triage

Agent listens to dedicated enterprise mailboxes via secure webhooks, separates genuine invoice emails from noise, and extracts PDF attachments.

2

Multimodal PDF Extraction

Extracts invoice numbers, dates, line item breakdowns, tax percentages, IBANs, and gross totals using high-precision structured schema extraction.

3

Counterparty Graph Matching (Creditor & Debitor)

Queries Mantaflow's database to match company tax IDs, VAT numbers, and banking details against registered factoring clients and approved debtors.

4

Automated Mapping or Admin Alert

High-confidence matches map straight into the client factoring batch. Unrecognized counterparties trigger a 1-click resolution alert for human administrators.

View Mantaflow Platform Case Study
mantaflow-ingest-agent.service ● active
INCOMING Mail received: "Invoice_Aug2026_TechCorp.pdf"
PARSE Multimodal layout engine running...
invoice_num: "INV-2026-8894"
gross_amount: € 42,850.00
iban: "DE89 3704 0044 0532 0130 00"
issue_date: "2026-08-14"
RESOLVE Entity Graph Search executed
creditor: "TechCorp GmbH" ✓ ID #4091 (100% Match)
debitor: "Apex Logistics AG" ✓ ID #8120 (Verified)
action: Auto-mapped to Batch #B-9921 · Ready for Payout
Case 02 · Swiss PropTech & Construction

Immoni: Construction Offer Estimator & Price Predictor

The Operational Bottleneck: Preparing comprehensive construction tenders (Offerten) in Switzerland requires reading 60+ pages of architectural specifications, breaking them down into trade categories (Gewerke), and looking up historic market rates for dozens of complex positions.
1

Specification Document Ingestion

Client or general contractor uploads a construction specification PDF or bill of quantities into Immoni's digital workspace.

2

NPK / CRB Standardized Decomposition

The agent decomposes raw text into Swiss construction standard catalog positions (Baugrube, Rohbau, Sanitär, Fassade) and constructs an interactive editing form.

3

Vector Semantic Search across Historic Project Dataset

Agent performs RAG lookups across Immoni's database of completed Swiss construction projects, regional price indices, and material benchmarks.

4

Intelligent Price Pre-Filling & Verification

Automatically pre-fills unit costs, material rates, and estimated labor hours for each position. The contractor simply reviews, tweaks, and exports a verified tender in minutes.

View Immoni Ecosystem Case Study
immoni-pricing-agent.service ● semantic rag
DOCUMENT Uploaded: "Leistungsverzeichnis_Zuerich_Wohnbau.pdf"
DECOMPOSE 142 trade positions identified across 4 Gewerke
pos_code: "NPK 211 · Baugrubenaushub"
quantity: 1,850 m³
historic_match: "Kanton Zürich 2025 Projects (4 similar matches)"
suggested_unit_price: CHF 48.50 / m³ (Pre-filled)
pos_code: "NPK 241 · Stahlbetonwände d=25cm"
quantity: 420 m²
suggested_unit_price: CHF 215.00 / m² (Pre-filled)
contractor_review: 96% verified · 4 min total completion time
Case 03 · Autonomous Back-Office Operations

Mantaflow Administrator: Compliance Auditor & Client Chasing Agent

The Operational Bottleneck: Factoring risk guidelines require strict proof before capital is released (bills of lading, signed timesheets, acceptance reports). Factoring staff spent half their week manually auditing attachments, sending follow-up emails for missing documents, and tracking re-submissions.
1

Compliance Checklist Audit

Upon invoice registration, the agent analyzes the customer's specific factoring agreement and verifies the existence of all mandatory proof files.

2

Autonomous Client Outreach

If documents are missing, unreadable, or unsigned, the agent composes and dispatches a personalized, multi-lingual email to the client with a one-click secure upload link.

3

Continuous Re-Submission Verification

When the client uploads replacements, the agent inspects timestamps, delivery addresses, order numbers, and physical/digital signatures in real time.

4

Stage Advancement or Team Leader Escalation

When all requirements are satisfied, the agent moves the invoice to the next stage (Risk Approval & Payout). If irregularities persist, it alerts the Team Leader with an audit brief.

Explore Factoring Platform Architecture
mantaflow-admin-agent.service ● autonomous audit
AUDIT Evaluating Invoice #MN-9104 (Debtor: SwissLogistics AG)
required_docs: [Commercial Invoice, Proof of Delivery, CMR]
submitted: [Commercial Invoice]
missing_items: Signed Proof of Delivery (POD)
ACTION Agent autonomous outreach triggered
email_dispatched: "Missing POD for Invoice #MN-9104" (German/English)
magic_upload_link: "https://mantaflow.ch/u/pod-8891" (Sent to client)
client_response: Uploaded signed CMR at 14:12
ai_verification: Signature detected & timestamp matched
decision: ADVANCED TO STAGE 4 (Risk Review Approved)
Core Principles

Why our enterprise AI does not fail in production

Deploying AI models is trivial. Engineering fault-tolerant agentic architectures that protect corporate data and maintain 100% regulatory compliance requires deep systems engineering.

Zero-Hallucination Schemas

We bind AI outputs to strict typed data structures. If a confidence threshold is breached, the agent does not guess — it flags the field for human verification.

Human-in-the-Loop Safeguards

AI automates 90% of routine ingestion and document parsing, while high-value financial disbursements and edge cases are routed to designated team leads.

Tenant Data Privacy

Customer documents and company registries are never shared across tenants or fed back into training corpuses. Complete data isolation guaranteed.

Comprehensive Audit Trails

Every decision, prompt, token count, OCR confidence score, and extracted field is permanently logged with timestamps for regulatory and compliance review.

Ready to automate complex operations with AI?

Tell us about your document bottlenecks, approval workflows, or pricing pipelines. We'll show you how an autonomous agent can handle the heavy lifting.