Why onboarding becomes a bottleneck as businesses scale
As digital services expand, identity verification becomes slower, more expensive, and more vulnerable to fraud. Manual processes cannot keep up with increasing volume, regulatory requirements, and cross-border complexity.
Fraud & Deepfake risks
Legacy systems are vulnerable to AI-driven spoofing and identity fraud
High operational costs
Manual review processes increase staffing and processing expenses
Cross-border complexity
Different countries require different document types and compliance standards
Slow onboarding process
Manual identity verification can take 2–5 days, leading to high user drop-off
CORE CAPABILITIES
Our eKYC solution delivers a structured, AI-powered verification workflow from document capture to final approval, with centralized management and continuous monitoring.
Automated Document Processing
Biometric Face Matching & Identity Verification
Passive Liveness Detection
Centralized Admin Portal
Seamless Integration (API/SDK)
HOW IT WORKS
Our eKYC solution follows a fast, automated verification flow — designed to deliver real-time decisions with high accuracy.
Capture & validate documents
Smart Capture ensures high-quality ID images and detects document types
Extract & verify data
Neural OCR extracts and validates key information instantly
Authenticate identity
Passive liveness detection and biometric face matching verify the user
Approve & manage cases
Real-time approval with centralized tracking and manual review when required
SOLUTION ARCHITECTURE
The solution is built on a modular, enterprise-grade architecture that ensures scalability, security, and performance.
Experience Layer
- Centralized admin portal, manual review dashboard, real-time tracking, reporting interface
Intelligence Layer
- Document processing pipeline, OCR engine, biometric matching, liveness detection, anti-fraud and deepfake defense
Data & Integration
- Document storage, biometric database, model versioning, secure access control
Seamless integrations with your existing tools
SECURITY & GOVERNANCE
Governance sits in the integration layer, where your security and audit teams can inspect it, not in prompts.
Role-based access control
Secure drawing storage
Audit logs & tracking
Controlled data export
Tech stack
Our AI automation solutions are built on a flexible, cloud-agnostic technology stack that supports secure deployment, scalability, and long-term maintainability across enterprise environments.
CASE STUDIES
Explore how Savvycom has delivered AI-powered knowledge and automation solutions across legal, logistics, insurance, and enterprise operations, with measurable business impact.
Intelligent eKYC & Fraud Prevention for a Philippines Digital Finance Provider
Document AI (OCR & NLP)An AI-powered eKYC platform that automates identity verification with OCR, face matching, and liveness detection - reducing manual…
Frequent Asked Questions
Explore quick answers to common questions about AI adoption, helping you get started with clarity and confidence.
Savvycom builds the orchestration and integration layer between Gemini and your systems: API adapters and data mapping, workflow state and tool routing, identity, policy and approval gates, plus audit, monitoring and cost tracking. Gemini supplies the reasoning; the integration layer holds access and business authority.
No. Gemini can propose function calls, but your application code executes them only after validation against schemas and business rules. Actions that change records can require a responsible user's approval, and internal credentials stay in the integration layer.
Not always, and Savvycom does not treat it as a default. It fits especially well when approved data already lives in Google Cloud, BigQuery or Workspace. Discovery tests model fit, cost and latency on a real workflow, and the architecture can keep options open for other models.
Paid API use is billed per token: input, output including thinking, plus applicable tool and cache charges. Cost comes down through routing to the cheapest model that passes quality tests, capped outputs, retrieving only relevant records, cached context and batch processing for eligible workloads.