Delivery Pattern
Success Cases
Production AI. Measurable impact.
These are not pilots and not proofs of concept. These are critical workflows already running in production across regulated LATAM institutions.
Case 1
Top LATAM Bank: 10x faster credit document operations.
The challenge
The bank had a structural bottleneck in credit document analysis.
- Manual review of applicant files
- Consistency checks across multiple sources
- Classification of heterogeneous documents
- Frequent internal escalations
Result: slow decisions, growing operational risk, and low scalability.
Where we started
- Approval cycles of multiple days
- High manual review volume
- Underwriting inconsistency across teams
- Fragmented systems and low automated traceability
The bank had data and systems. It lacked intelligent orchestration.
How we mapped it in Maverick
- Granular workflow decomposition
- Automation-ready decision points
- Rules, validations, and exception criteria
- Controlled agentic orchestration in Maverick
Agents ingested, classified, validated, cross-checked, and escalated only exceptions.
Prototype to production
In days, we delivered a functional prototype with real bank data and validated:
- Extraction accuracy
- Validation quality
- Exception rates
In weeks, we integrated core systems, tuned underwriting rules, and deployed on-premise.
Business impact
10x
Manual analysis reduction
Minutes
Approval readiness
Higher
Operational throughput
- 10x reduction in manual document analysis
- Approval readiness in minutes
- Higher consistency across underwriting teams
- Lower operational risk
- Higher throughput without adding headcount
Case 2
Top 10 LATAM Insurer: policy issuance in seconds.
The challenge
The insurer operated with fragmented processes:
- Manual document validation
- Scattered eligibility checks
- Multiple handoffs across teams
Issuing a policy could take days, impacting conversion and customer experience.
Where we started
- Process mapped in documents, not systems
- Full dependency on human intervention
- Repeated validations
- Low visibility on bottlenecks
The issue was not technology. It was coordination.
How we modeled it in Maverick
- End-to-end issuance journey mapping
- Automation-ready decisions
- Eligibility and control rules
- Single controlled agentic workflow
Agents validated documents, executed checks, orchestrated issuance, and escalated edge exceptions.
MVP to rollout
In under one week we delivered a working MVP with real data and measured:
- Processing time
- Exception rates
- Validation precision
In weeks, we expanded to all products, integrated legacy systems, and deployed with full audit and security controls.
Business impact
Seconds
Policy issuance time
Higher
Commercial conversion
Measurable
Revenue capture growth
- Policy issuance in seconds instead of days
- Higher commercial conversion
- Better customer experience
- Measurable increase in revenue capture
Case 3
Leading LATAM Investment Firm: onboarding from 15 days to minutes.
The challenge
The firm had a slow, fragmented onboarding process:
- World-Check screening
- KYC validations
- Risk evaluations
- Manual document collection
Average onboarding time: 15 days per client.
Where we started
- Multiple teams involved
- Disconnected systems
- Repeated manual tasks
- No end-to-end client status visibility
Compliance risk was high, and conversion was low.
Orchestration in Maverick
- End-to-end onboarding mapping
- Regulatory rules definition
- Automation of key validations
- Unified controlled agentic flow
Agents handled screening, document validation, risk matrices, KYC evidence, and complex-case escalation.
Prototype to full implementation
We delivered a functional prototype in days and validated:
- Screening accuracy
- Scoring consistency
- Cycle time reduction
After validation, we integrated external sources, tuned local regulatory rules, and deployed on-premise.
Business impact
15 days to minutes
Onboarding cycle time
Higher
Client conversion
Higher
Operational throughput
- Onboarding from 15 days to minutes
- Higher conversion rates
- Higher operational throughput
- Improved compliance and traceability
Common Pattern
What these success cases have in common.
- Not months before first value
- Working prototypes in days
- Scaled implementation in weeks
- Critical processes in production today
Neuratek does not build AI for presentations. We build AI to operate in regulated environments with measurable impact.
Ready to evaluate your workflow?
Tell us your highest-friction process and we will map a production path.
Contact our sales team to review feasibility, governance requirements, and rollout options for your organization.