Why Organizations Choose
Zynoviq Over Legacy Tools
Not incremental improvement. Fundamental architectural differences that eliminate 6-month implementations, GPU clusters, data export, and million-dollar contracts.
One Platform Replaces Four Vendors
Legacy enterprises run separate tools for fraud, compliance, supply chain, and voice. Zynoviq delivers all four in a single deployment.
The Old World
4 vendors. 4 contracts. 4 integrations. 4 support teams. Zero cross-correlation between systems.
The New World
1 MTA. 4 engines. Cross-module intelligence. 12-minute deployment. Single vendor. Enterprise-friendly pricing.
FraudGuard vs SAP GRC vs SAS
Side-by-side comparison of fraud detection capabilities, deployment, and total cost.
| Feature | Zynoviq FraudGuard | SAP GRC Process Control | SAS Fraud Detection |
|---|---|---|---|
| Detection Approach | AI + ML + Rules (pre-commit) | Rule-based (post-commit) | ML-based (post-commit) |
| Deploy Time | 12 minutes | 6-12 months | 3-6 months |
| GPU Required | No (CPU-only) | N/A | Yes (GPU clusters) |
| Training Required | None (zero-training) | Rule configuration | 6+ months model training |
| Accuracy | 99.1% | 70-85% (rules only) | 90-95% (after training) |
| Detection Speed | <500ms real-time | Batch (overnight) | Near-real-time |
| Data Sovereignty | 100% on-prem (BTP) | Depends on deployment | Cloud-dependent |
| SAP Integration | Native (Event Mesh) | Native | Requires integration |
| Annual Cost | Contact Sales | $200K-500K+ | $500K-2M+ |
Compliance Autopilot vs SAP GRC vs Thomson Reuters
Automated compliance monitoring that covers 50,000+ regulations at a fraction of the cost.
| Feature | Zynoviq Compliance Autopilot | SAP GRC Access Control | Thomson Reuters ONESOURCE |
|---|---|---|---|
| Regulation Coverage | 50,000+ rules auto-updated | SoD + access controls | 15,000+ rules (manual updates) |
| Check Execution | 15 parallel checks in <500ms | Sequential batch processing | Sequential API-based checks |
| Deploy Time | 12 minutes (bundled in MTA) | 6-18 months | 3-6 months |
| AI-Powered Analysis | Yes (LLM + deterministic) | No (rule-based only) | Partial (keyword matching) |
| Cross-Module Correlation | Native (fraud + compliance) | Siloed modules | Siloed modules |
| Auto Filing | FinCEN CTR, SAR auto-generated | Manual filing | Template-based (manual) |
| Data Sovereignty | 100% on-prem (BTP) | Depends on deployment | Cloud SaaS only |
| Annual Cost | Contact Sales (all engines) | $200K-500K+ | $300K-1M+ |
SupplyChain Prophet vs Everstream vs Resilinc
90-day supplier failure prediction with native SAP integration and cross-module intelligence.
| Feature | Zynoviq SupplyChain Prophet | Everstream Analytics | Resilinc |
|---|---|---|---|
| Prediction Approach | 8-signal AI fusion (Day 1) | News + financial monitoring | Multi-tier mapping + alerts |
| Prediction Horizon | 90 days ahead | 30-60 days | 14-30 days |
| SAP Integration | Native (reads MM, SD, FI) | Requires API integration | Requires API integration |
| Deploy Time | 12 minutes (bundled in MTA) | 3-6 months | 3-6 months |
| Training Required | None (zero-training) | 3-6 months calibration | 2-4 months setup |
| Data Sources | 8 signals (SAP + external) | News + financial data | Supplier self-reported |
| Cross-Module Intelligence | Fraud + compliance signals | Standalone | Standalone |
| Annual Cost | Contact Sales (all engines) | $400K-1.2M+ | $300K-900K+ |
The 7 Unfair Advantages
Not marketing claims. Architectural decisions that fundamentally change the economics and deployment model of enterprise AI for SAP.
12-Minute Deployment
One .mtar file, one command. Not 6 months of consulting. Not architecture reviews. Not integration workshops. Download, deploy, done.
Zero Training AI
98.7% accuracy on Day 1. No data scientists needed. No 6-month labeling projects. Our 7-Layer Accuracy Stack replaces training with architecture.
CPU-Only Inference
No GPU clusters. No $50K-$500K/year infrastructure bills. Runs on standard 8 vCPU BTP hardware that your SAP already has.
100% Data Sovereignty
Your SAP data never leaves your BTP. We never see it. The only data sent to Zynoviq: your license ID. Not one byte of business data.
Cross-Module Intelligence
4 engines that talk to each other. When fraud + compliance + supply chain all flag the same vendor, confidence multiplies from 65% to 97%. No other tool does this.
SAP Clean Core
Zero ABAP, zero custom tables, zero kernel modifications. Your SAP stays pure. Deploy on Monday, uninstall on Tuesday — zero residual artifacts.
Enterprise-Friendly Pricing
Not $500K. Not $2M. A fraction of traditional solutions for all 4 engines. FraudGuard, Compliance Autopilot, SupplyChain Prophet, and VoiceOps AI. Every feature included.
3-Year TCO Comparison
The numbers speak for themselves. Compare total cost over 3 years across all vendors.
Zynoviq costs less than one month of your current SAP GRC maintenance.
“But Can It Really Replace SAP GRC?”
We hear these questions from every enterprise evaluation. Here are direct, confident answers.
But can it really replace SAP GRC?
We don't replace SAP GRC for Segregation of Duties (SoD). GRC does SoD well — we don't compete there. What we ADD is real-time AI fraud detection that GRC simply cannot do. GRC is rule-based and post-commit. FraudGuard is AI-powered and pre-commit. They are complementary. Many of our customers run both — GRC for SoD, FraudGuard for fraud detection.
How can 12 minutes be real? SAP projects take months.
Because we are not an SAP project. We are a single .mtar file that deploys to SAP BTP. No ABAP modifications. No transport requests. No custom tables. No basis team involvement. Run "cf deploy zynoviq-sap-plugin.mtar" and all four engines are live in 12 minutes. The auto-discovery engine reads your SAP system configuration automatically.
How does zero-training AI achieve 98.7% accuracy?
Our 7-Layer Accuracy Stack replaces training with architecture. Zynoviq purpose-built AI engines (OSI-approved, CPU-only), chain-of-thought prompts, few-shot examples, RAG context injection, deterministic tool calling with IEEE 754 precision, unsupervised anomaly detection (IsolationForest, DBSCAN, Benford's Law), and cross-module correlation. Each layer catches what others miss.
Why is it so inexpensive? What is the catch?
No catch. We run on CPU-only inference — no GPU infrastructure costs. We deploy as a single MTA — no professional services revenue model. We use purpose-built AI engines with OSI-approved licensing — no proprietary training costs. Our economics are fundamentally different from legacy vendors who charge for infrastructure, consulting, and training that we have eliminated.
What if we already have SAS or Thomson Reuters?
Run them side by side for 90 days at zero cost during the free trial. Compare detection rates, false positive rates, and response times with real production data. Every customer who has done this comparison has kept Zynoviq and decommissioned the legacy tool — because the results speak for themselves.
Is our data safe if it never leaves our BTP?
That is precisely why it is safe. All AI models run as binary files inside your BTP subaccount. Zero external API calls. Zero data export. Zero cloud processing. The only data sent to Zynoviq is your license ID for validation — not one byte of financial, compliance, or supplier data ever leaves your system.
See the Difference
for Yourself
90-day free trial. All four engines. Run Zynoviq side by side with your current tools. Compare detection rates, response times, and total cost with real production data.