"Agile Infoways team delivered exceptional iOS and Android apps with responsive support and outstanding problem-solving expertise."
- Rob Machado
AI EngineeringAI-Powered Process Automation
Automate Your Workflows with Intelligent AI — Not Just Rules
Replace rigid rule-based automation with AI that understands context, handles exceptions, and continuously improves — saving thousands of hours of manual work while eliminating costly errors.
Automation Capabilities
AI Process Automation
From intelligent document processing to end-to-end workflow orchestration, we replace manual work with AI that learns.
Intelligent Document Processing
Extract, classify, and validate data from invoices, contracts, forms, and emails with 99%+ accuracy using vision AI and NLP.
End-to-End Workflow Orchestration
Design AI-native workflows that route, approve, transform, and escalate — integrating with your existing ERP, CRM, and ITSM systems.
Decision Automation
Replace manual decision points with AI models trained on your historical data — credit approvals, risk scoring, content moderation at scale.
Process Mining & Discovery
Analyze event logs to discover actual process flows, identify bottlenecks, and pinpoint the highest-ROI automation opportunities.
RPA + AI Hybrid
Supercharge existing RPA bots (UiPath, Automation Anywhere) with AI perception and judgment for handling unstructured inputs.
Exception Handling & Escalation
Smart exception detection that routes edge cases to humans with full context, learns from decisions, and improves handling over time.
Why Choose Us
Why Agile Infoways for AI Automation
We've automated processes for Fortune 500 companies delivering 60–90% cost reduction with measurable SLA guarantees.
ROI-First Approach
We calculate automation ROI before building — identifying processes where AI delivers 10x returns, not just incremental gains.
Change Management Support
Automation succeeds when people adopt it. We include training, change communication, and transition planning in every engagement.
Integration Expertise
Deep experience integrating with SAP, Salesforce, ServiceNow, Oracle, and 50+ enterprise systems via APIs and native connectors.
Compliance & Audit Ready
Every automation decision is logged with explainability metadata — ready for SOX, GDPR, HIPAA, or internal audit reviews.
Our Capability
Automation Tech Stack
Production-proven tools for building reliable, scalable AI automation at enterprise scale.
Azure Document Intelligence
Enterprise-grade IDP for invoices, forms, contracts, and custom document types.
Apache Airflow / Prefect
Orchestration engines for complex multi-step AI workflows with retry and monitoring.
UiPath + AI Center
RPA platform enhanced with AI models for unstructured data handling.
Celonis Process Mining
Data-driven process discovery to identify automation opportunities with quantified impact.
Temporal.io
Durable workflow engine ensuring automation steps complete reliably despite failures.
MLflow / BentoML
ML model management and serving infrastructure for decision automation at scale.
Our ApproachHow We Build
How We Build
AI Automation
From process discovery through live deployment with measurable ROI at each stage.
01
Process Discovery & ROI Analysis
02
AI Model Development
03
Workflow Integration & Testing
04
Go Live & Continuous Improvement
Step 01
Process Discovery & ROI Analysis
Map current-state processes using event logs and stakeholder interviews. Quantify time, cost, and error rates to rank automation opportunities by ROI.
Process mapsROI ranking matrixQuick-win identificationBusiness case
Step 02
AI Model Development
Train or fine-tune models specific to your documents and decision patterns. Validate accuracy against your historical data before any automation goes live.
Custom AI modelsAccuracy benchmarksEdge case catalogValidation reports
Step 03
Workflow Integration & Testing
Wire AI models into your existing systems, configure exception routing, and run parallel testing alongside manual processes to prove accuracy.
System integrationsParallel testingException playbooksUAT sign-off
Step 04
Go Live & Continuous Improvement
Staged rollout with real-time monitoring dashboards. Monthly model retraining on new data to keep accuracy high as your processes evolve.
Staged rolloutReal-time dashboardsMonthly retrainingSLA reporting
Our ApproachHow We Build
How We Build
AI Automation
From process discovery through live deployment with measurable ROI at each stage.
Step 01
Process Discovery & ROI Analysis
Map current-state processes using event logs and stakeholder interviews. Quantify time, cost, and error rates to rank automation opportunities by ROI.
Process mapsROI ranking matrixQuick-win identificationBusiness case
Step 02
AI Model Development
Train or fine-tune models specific to your documents and decision patterns. Validate accuracy against your historical data before any automation goes live.
Custom AI modelsAccuracy benchmarksEdge case catalogValidation reports
Step 03
Workflow Integration & Testing
Wire AI models into your existing systems, configure exception routing, and run parallel testing alongside manual processes to prove accuracy.
System integrationsParallel testingException playbooksUAT sign-off
Step 04
Go Live & Continuous Improvement
Staged rollout with real-time monitoring dashboards. Monthly model retraining on new data to keep accuracy high as your processes evolve.
Staged rolloutReal-time dashboardsMonthly retrainingSLA reporting
Use Cases
Automation in Action
Real AI automation deployments with documented cost savings and accuracy gains.
FI
FinanceAccounts Payable Automation
The Challenge
Finance team manually processing 5,000 invoices monthly across 12 formats with 8% error rate and 5-day cycle time.
The Outcome
AI automation processes 94% of invoices touchlessly, reducing cycle time to 4 hours and errors to under 0.3%.
Document AISAP integrationException routingAudit trail
IN
InsuranceClaims Triage Automation
The Challenge
Claims adjusters spending 40% of time on data entry and routing instead of actual claims assessment.
The Outcome
AI triage system auto-classifies and routes 80% of claims, cutting average handle time from 45 to 12 minutes.
NLP classificationImageAISalesforcePriority scoring
HR
HRResume Screening & Scheduling
The Challenge
Recruiters manually screening 500+ applications per role, taking 3 weeks to reach first interviews.
The Outcome
AI screening shortlists top candidates and auto-schedules interviews, compressing time-to-interview from 21 to 4 days.
NLP matchingCalendar APIATS integrationBias detection
MA
ManufacturingQuality Control Automation
The Challenge
Manual visual inspection catching only 78% of defects, with 3 inspectors per production line.
The Outcome
Computer vision system detects 99.2% of defects in real-time, reducing QC cost by 60% and recalls by 85%.
Computer visionEdge inferencePLC integrationDefect classification
Industries
AI Solutions Across Key Verticals
Deep domain expertise meets cutting-edge AI — delivering results where they matter most.
Client Stories
Built With Trust. Proven in Production.
Hear directly from the leaders who partnered with us to ship AI-powered products, modernize platforms, and move faster than they thought possible.
"Great company with great management quality developers were really dedicated to get the job done in a timely cost-effective manner."
- Alexandar Salahsour
"They consistently delivers reliable, high-quality development solutions with exceptional communication, value, and trusted partnership."
- Joe Pellegrino, Jordan Pellegrino
Get In Touch
Let's Build Something Remarkable Together
Book a call or drop us a message. Our team will respond within 24 hours.
Schedule a Discovery Call
30-minute consultation · Free
UTC
Loading available slots…
Times shown in UTC