Project Objectives (OBJ1-OBJ8)
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Overview
The AI Orchestrator project defines 8 quantifiable objectives organized into three categories: Scientific, Economic, and Technological. Each objective has a measurable target, a defined validation method, and is linked to a specific milestone.
Scientific Objectives
| ID |
Objective |
Target |
Validation Method |
Milestone |
| OBJ1 |
Document Accuracy |
90% on 50-100 page documents |
Blind assessment on held-out test set |
MS5 (M20) |
| OBJ2 |
Zero-Shot Schema Mapping |
F1 > 85% on 50 enterprise schemas |
No schema-specific training |
MS4 (M16) |
| OBJ3 |
Hallucination Reduction |
40% reduction vs baseline |
Baseline: 23.5% total hallucination rate |
MS3 (M12) |
| OBJ8 |
Multilingual Validation |
500 documents (DE/FR/IT/EN) |
Distribution: 40% DE, 30% FR, 15% IT, 15% EN |
MS3 (M12) |
OBJ1: Document Accuracy
- Target: 90% extraction accuracy on 50-100 page Swiss compliance documents
- Baseline: Current AI achieves 95%+ on single-page forms but degrades to 70-80% on extended documents
- Validation: Blind assessment on held-out test set at MS5
- Work Packages: WP2, WP3
OBJ2: Zero-Shot Schema Mapping
- Target: F1 score > 85% across 50 enterprise CRM schemas
- Method: No schema-specific training required; the model maps fields from new schemas without additional fine-tuning
- Validation: Tested against Salesforce, SAP, Microsoft Dynamics, HubSpot, and custom bank platforms
- Work Packages: WP4
OBJ3: Hallucination Reduction
- Target: 40% reduction from baseline hallucination rate
- Baseline: 23.5% total hallucination rate (measured on standard compliance documents)
- Target Rate: 14% or lower
- Validation: Baseline comparison at MS3
- Work Packages: WP2
OBJ8: Multilingual Validation
- Target: 500 documents processed across 4 languages
- Distribution: 40% German, 30% French, 15% Italian, 15% English
- Validation: Corpus processing validated at MS3
- Work Packages: WP2, WP3
Economic Objectives
| ID |
Objective |
Target |
Validation Method |
Milestone |
| OBJ4 |
Processing Time |
< 2 hours per 100-page document |
Baseline: 2-3 weeks manual processing |
MS5 (M20) |
| OBJ5 |
Institution Deployments |
3-5 Swiss financial institutions |
Production use, min 1 month, 50+ documents |
MS5 (M20) |
OBJ4: Processing Time Reduction
- Target: Process a 100-page compliance document in under 2 hours
- Baseline: Current manual processing takes 2-3 weeks
- Improvement: ~100x speed increase
- Validation: Benchmark at MS5
- Work Packages: WP3, WP5
OBJ5: Institutional Validation
- Target: Deploy at 3-5 Swiss financial institutions
- Criteria: Each deployment in production use for minimum 1 month processing 50+ documents
- Validation: Pilot feedback and production metrics at MS5
- Work Packages: WP4, WP5
Technological Objectives
| ID |
Objective |
Target |
Validation Method |
Milestone |
| OBJ6 |
TRL Advancement |
TRL 3 to TRL 5-6 |
Evidence documentation |
MS5 (M20) |
| OBJ7 |
On-Premise Deployment |
7-13B parameter models |
Cost comparison vs cloud |
MS4 (M16) |
OBJ6: Technology Readiness Level
- Target: Advance from TRL 3 (experimental proof of concept) toward TRL 5-6
- Evidence: Documented technology demonstrations, pilot results, and validation reports
- Validation: TRL evidence portfolio at MS5
- Work Packages: All WPs contribute
OBJ7: On-Premise Deployment
- Target: Deploy models with 7-13B parameters on-premise hardware
- Hardware: Minimum RTX 4090 24GB, Recommended A100 40GB
- Method: LoRA/QLoRA fine-tuning of Mistral v0.3 (7B) or Llama 3.1 (8B)
- Validation: Cost advantage demonstration vs cloud at MS4
- Work Packages: WP2, WP4
Objective-Milestone Mapping
| Milestone |
Month |
Objectives Validated |
| MS1 |
M4 |
(Foundation - no OBJ validation) |
| MS2 |
M6 |
(Technical validation - baselines established) |
| MS3 |
M12 |
OBJ3, OBJ8 |
| MS4 |
M16 |
OBJ2, OBJ7 |
| MS5 |
M20 |
OBJ1, OBJ4, OBJ5, OBJ6 |
Source: Project Inventory Section 3