AIspresso Labs
AIspresso Labs
AIspresso Labs
How a $2B Aerospace Manufacturer Cut Invoice Processing Costs by 90% with Agentic AI
How a $2B Aerospace Manufacturer Cut Invoice Processing Costs by 90% with Agentic AI
Replacing legacy OCR and offshore BPO with an autonomous AI agent system — processing 250,000 invoices/year at $1 each, with 97% fewer errors and full compliance.
PROJECT STATUS: COMPLETED
PROJECT STATUS: COMPLETED
Results So Far
Results So Far
0%
COST REDUCTION
$9.50 → $1.00
0%
PROCESSING SPEED
7 days → 36 hrs
0%
ERROR REDUCTION
10% → 0.3%
$0M
ANNUAL SAVINGS
per year
About The Customer
About The Customer
A Brazilian multinational aerospace manufacturer with over $2 billion in annual revenue. Processes approximately 250,000 invoices per year through SAP ERP systems, managing complex upstream and downstream dependencies across global operations. Invoices arrive through multiple channels (email, portal, EDI, paper) in varying formats, under strict aerospace and defense regulatory requirements.
Most AI initiatives stall because they start with models instead of foundations. They produce one-off pipelines that never integrate into real operational workflows and lose ownership after "go-live."
A Brazilian multinational aerospace manufacturer with over $2 billion in annual revenue. Processes approximately 250,000 invoices per year through SAP ERP systems, managing complex upstream and downstream dependencies across global operations. Invoices arrive through multiple channels (email, portal, EDI, paper) in varying formats, under strict aerospace and defense regulatory requirements.
The Problem
The Problem
$9.50 per invoice
Legacy OCR extraction plus manual BPO review, totaling ~$2.4M annually for 250K invoices
10%+ error rate
Mistakes, misclassifications, and escalations caused costly rework and compliance risk
7-day processing cycle
Multi-layer review queues and manual coordination created bottlenecks, delaying payments and straining vendor relationships
Governance gaps
No reliable segregation of duties, ad-hoc exception handling, and incomplete audit trails
Integration complexity
Legacy SAP systems, multiple invoice formats, and multiple intake channels made automation difficult
The Solution
The Solution
An Agentic AI system on AWS Bedrock where specialized AI agents collaborate to reason, decide, act, and learn across the full invoice lifecycle — not just extraction, but context understanding, decision-making, cross-system coordination, and exception handling.
Most AI initiatives stall because they start with models instead of foundations. They produce one-off pipelines that never integrate into real operational workflows and lose ownership after "go-live."
An Agentic AI system on AWS Bedrock where specialized AI agents collaborate to reason, decide, act, and learn across the full invoice lifecycle — not just extraction, but context understanding, decision-making, cross-system coordination, and exception handling.
Intake Agent
Receives invoices across email, portal, EDI, and other channels. Normalizes unstructured formats into a standard schema compatible with SAP.
Extraction & Validation Agent
Extracts line items, matches against purchase orders and contracts in SAP, and flags discrepancies for review or auto-resolution.
Routing & Coordination Agent
Determines approval paths based on invoice type, amount, and exception rules. Enforces SLAs and proactively follows up with reviewers.
Compliance & Audit Agent
Maintains segregation of duties, logs all decisions with full reasoning chains, and generates comprehensive audit trails.
Vendor-Facing Agent
Provides vendors with real-time self-service visibility into invoice status, reducing inbound inquiries.
Outcomes
Outcomes
Metrics
Metrics
Before
Before
After (Agentic AI)
After (Agentic AI)
Impact
Impact
Cost per invoice
Cost per invoice
Cost per invoice
$9.50
$9.50
$1.00
$1.00
$1.00
90% reduction (~$2.1M saved/year)
90% reduction (~$2.1M saved/year)
90% reduction (~$2.1M saved/year)
Processing cycle
Processing cycle
Processing cycle
7 days
7 days
< 36 hours
< 36 hours
80% faster cycle time
80% faster cycle time
80% faster cycle time
Error rate
Error rate
Error rate
10%+
10%+
< 0.3%
< 0.3%
97% fewer errors
97% fewer errors
97% fewer errors
Coordination
Coordination
Coordination
Manual queues
Manual queues
AI-orchestrated
AI-orchestrated
Autonomous multi-layer review
Autonomous multi-layer review
Autonomous multi-layer review
Vendor experience
Vendor experience
Vendor experience
No visibility
No visibility
Real-time self-service
Real-time self-service
Reduced vendor inquiries
Reduced vendor inquiries
Reduced vendor inquiries
Human redeployment
BPO team members redeployed to higher-value exception handling and vendor relationship management.
Continuous improvement
The system learns from every human-in-the-loop correction, continuously reducing the 0.3% error rate over time.
AI Accelerator
AI Accelerator
Pre-configured agent templates (intake, extraction, routing, compliance, vendor-facing), SAP integration connectors with configurable field mappings, and deployment flexibility (SaaS, private cloud, or on-premise). Estimated 8–12 weeks from kickoff to production.
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
Rewriting critical bottlenecks for scale and performance.
Refactor (For Constraints)
AIspresso Labs
AIspresso Labs
AIspresso Labs
How a $2B Aerospace Manufacturer Cut Invoice Processing Costs by 90% with Agentic AI
How a $2B Aerospace Manufacturer Cut Invoice Processing Costs by 90% with Agentic AI
Replacing legacy OCR and offshore BPO with an autonomous AI agent system — processing 250,000 invoices/year at $1 each, with 97% fewer errors and full compliance.
PROJECT STATUS: COMPLETED
PROJECT STATUS: COMPLETED
Results So Far
Results So Far
0%
COST REDUCTION
$9.50 → $1.00
0%
PROCESSING SPEED
7 days → 36 hrs
0%
ERROR REDUCTION
10% → 0.3%
$0M
ANNUAL SAVINGS
per year
About The Customer
About The Customer
A Brazilian multinational aerospace manufacturer with over $2 billion in annual revenue. Processes approximately 250,000 invoices per year through SAP ERP systems, managing complex upstream and downstream dependencies across global operations. Invoices arrive through multiple channels (email, portal, EDI, paper) in varying formats, under strict aerospace and defense regulatory requirements.
Most AI initiatives stall because they start with models instead of foundations. They produce one-off pipelines that never integrate into real operational workflows and lose ownership after "go-live."
A Brazilian multinational aerospace manufacturer with over $2 billion in annual revenue. Processes approximately 250,000 invoices per year through SAP ERP systems, managing complex upstream and downstream dependencies across global operations. Invoices arrive through multiple channels (email, portal, EDI, paper) in varying formats, under strict aerospace and defense regulatory requirements.
The Problem
The Problem
$9.50 per invoice
Legacy OCR extraction plus manual BPO review, totaling ~$2.4M annually for 250K invoices
10%+ error rate
Mistakes, misclassifications, and escalations caused costly rework and compliance risk
7-day processing cycle
Multi-layer review queues and manual coordination created bottlenecks, delaying payments and straining vendor relationships
Governance gaps
No reliable segregation of duties, ad-hoc exception handling, and incomplete audit trails
Integration complexity
Legacy SAP systems, multiple invoice formats, and multiple intake channels made automation difficult
The Solution
The Solution
An Agentic AI system on AWS Bedrock where specialized AI agents collaborate to reason, decide, act, and learn across the full invoice lifecycle — not just extraction, but context understanding, decision-making, cross-system coordination, and exception handling.
Most AI initiatives stall because they start with models instead of foundations. They produce one-off pipelines that never integrate into real operational workflows and lose ownership after "go-live."
An Agentic AI system on AWS Bedrock where specialized AI agents collaborate to reason, decide, act, and learn across the full invoice lifecycle — not just extraction, but context understanding, decision-making, cross-system coordination, and exception handling.
Intake Agent
Receives invoices across email, portal, EDI, and other channels. Normalizes unstructured formats into a standard schema compatible with SAP.
Extraction & Validation Agent
Extracts line items, matches against purchase orders and contracts in SAP, and flags discrepancies for review or auto-resolution.
Routing & Coordination Agent
Determines approval paths based on invoice type, amount, and exception rules. Enforces SLAs and proactively follows up with reviewers.
Compliance & Audit Agent
Maintains segregation of duties, logs all decisions with full reasoning chains, and generates comprehensive audit trails.
Vendor-Facing Agent
Provides vendors with real-time self-service visibility into invoice status, reducing inbound inquiries.
Outcomes
Outcomes
Metrics
Metrics
Before
Before
After (Agentic AI)
After (Agentic AI)
Impact
Impact
Cost per invoice
Cost per invoice
Cost per invoice
$9.50
$9.50
$1.00
$1.00
$1.00
90% reduction (~$2.1M saved/year)
90% reduction (~$2.1M saved/year)
90% reduction (~$2.1M saved/year)
Processing cycle
Processing cycle
Processing cycle
7 days
7 days
< 36 hours
< 36 hours
80% faster cycle time
80% faster cycle time
80% faster cycle time
Error rate
Error rate
Error rate
10%+
10%+
< 0.3%
< 0.3%
97% fewer errors
97% fewer errors
97% fewer errors
Coordination
Coordination
Coordination
Manual queues
Manual queues
AI-orchestrated
AI-orchestrated
Autonomous multi-layer review
Autonomous multi-layer review
Autonomous multi-layer review
Vendor experience
Vendor experience
Vendor experience
No visibility
No visibility
Real-time self-service
Real-time self-service
Reduced vendor inquiries
Reduced vendor inquiries
Reduced vendor inquiries
Human redeployment
BPO team members redeployed to higher-value exception handling and vendor relationship management.
Continuous improvement
The system learns from every human-in-the-loop correction, continuously reducing the 0.3% error rate over time.
AI Accelerator
AI Accelerator
Pre-configured agent templates (intake, extraction, routing, compliance, vendor-facing), SAP integration connectors with configurable field mappings, and deployment flexibility (SaaS, private cloud, or on-premise). Estimated 8–12 weeks from kickoff to production.
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
Rewriting critical bottlenecks for scale and performance.
Refactor (For Constraints)
AIspresso Labs
AIspresso Labs
AIspresso Labs
How a $2B Aerospace Manufacturer Cut Invoice Processing Costs by 90% with Agentic AI
How a $2B Aerospace Manufacturer Cut Invoice Processing Costs by 90% with Agentic AI
Replacing legacy OCR and offshore BPO with an autonomous AI agent system — processing 250,000 invoices/year at $1 each, with 97% fewer errors and full compliance.
PROJECT STATUS: COMPLETED
PROJECT STATUS: COMPLETED
Results So Far
Results So Far
0%
COST REDUCTION
$9.50 → $1.00
0%
PROCESSING SPEED
7 days → 36 hrs
0%
ERROR REDUCTION
10% → 0.3%
$0M
ANNUAL SAVINGS
per year
About The Customer
About The Customer
A Brazilian multinational aerospace manufacturer with over $2 billion in annual revenue. Processes approximately 250,000 invoices per year through SAP ERP systems, managing complex upstream and downstream dependencies across global operations. Invoices arrive through multiple channels (email, portal, EDI, paper) in varying formats, under strict aerospace and defense regulatory requirements.
Most AI initiatives stall because they start with models instead of foundations. They produce one-off pipelines that never integrate into real operational workflows and lose ownership after "go-live."
A Brazilian multinational aerospace manufacturer with over $2 billion in annual revenue. Processes approximately 250,000 invoices per year through SAP ERP systems, managing complex upstream and downstream dependencies across global operations. Invoices arrive through multiple channels (email, portal, EDI, paper) in varying formats, under strict aerospace and defense regulatory requirements.
The Problem
The Problem
$9.50 per invoice
Legacy OCR extraction plus manual BPO review, totaling ~$2.4M annually for 250K invoices
10%+ error rate
Mistakes, misclassifications, and escalations caused costly rework and compliance risk
7-day processing cycle
Multi-layer review queues and manual coordination created bottlenecks, delaying payments and straining vendor relationships
Governance gaps
No reliable segregation of duties, ad-hoc exception handling, and incomplete audit trails
Integration complexity
Legacy SAP systems, multiple invoice formats, and multiple intake channels made automation difficult
The Solution
The Solution
An Agentic AI system on AWS Bedrock where specialized AI agents collaborate to reason, decide, act, and learn across the full invoice lifecycle — not just extraction, but context understanding, decision-making, cross-system coordination, and exception handling.
Most AI initiatives stall because they start with models instead of foundations. They produce one-off pipelines that never integrate into real operational workflows and lose ownership after "go-live."
An Agentic AI system on AWS Bedrock where specialized AI agents collaborate to reason, decide, act, and learn across the full invoice lifecycle — not just extraction, but context understanding, decision-making, cross-system coordination, and exception handling.
Intake Agent
Receives invoices across email, portal, EDI, and other channels. Normalizes unstructured formats into a standard schema compatible with SAP.
Extraction & Validation Agent
Extracts line items, matches against purchase orders and contracts in SAP, and flags discrepancies for review or auto-resolution.
Routing & Coordination Agent
Determines approval paths based on invoice type, amount, and exception rules. Enforces SLAs and proactively follows up with reviewers.
Compliance & Audit Agent
Maintains segregation of duties, logs all decisions with full reasoning chains, and generates comprehensive audit trails.
Vendor-Facing Agent
Provides vendors with real-time self-service visibility into invoice status, reducing inbound inquiries.
Outcomes
Outcomes
Metrics
Metrics
Before
Before
After (Agentic AI)
After (Agentic AI)
Impact
Impact
Cost per invoice
Cost per invoice
Cost per invoice
$9.50
$9.50
$1.00
$1.00
$1.00
90% reduction (~$2.1M saved/year)
90% reduction (~$2.1M saved/year)
90% reduction (~$2.1M saved/year)
Processing cycle
Processing cycle
Processing cycle
7 days
7 days
< 36 hours
< 36 hours
80% faster cycle time
80% faster cycle time
80% faster cycle time
Error rate
Error rate
Error rate
10%+
10%+
< 0.3%
< 0.3%
97% fewer errors
97% fewer errors
97% fewer errors
Coordination
Coordination
Coordination
Manual queues
Manual queues
AI-orchestrated
AI-orchestrated
Autonomous multi-layer review
Autonomous multi-layer review
Autonomous multi-layer review
Vendor experience
Vendor experience
Vendor experience
No visibility
No visibility
Real-time self-service
Real-time self-service
Reduced vendor inquiries
Reduced vendor inquiries
Reduced vendor inquiries
Human redeployment
BPO team members redeployed to higher-value exception handling and vendor relationship management.
Continuous improvement
The system learns from every human-in-the-loop correction, continuously reducing the 0.3% error rate over time.
AI Accelerator
AI Accelerator
Pre-configured agent templates (intake, extraction, routing, compliance, vendor-facing), SAP integration connectors with configurable field mappings, and deployment flexibility (SaaS, private cloud, or on-premise). Estimated 8–12 weeks from kickoff to production.
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
Rewriting critical bottlenecks for scale and performance.
Refactor (For Constraints)