AI Use Case
AI for Onboarding & KYC
Speed up onboarding with document extraction, validation, and review workflows—designed to stay auditable and safe.
Problems
What’s slowing teams down
Common bottlenecks we see before AI workflows are implemented.
Manual verification
Teams re-type fields from documents and correct errors.
Format variance
Different layouts cause extraction drift without governance.
Approval delays
Reviews are slow without routing and queues.
Audit concerns
Compliance requires traceability and retention controls.
Delivery
What we deliver
Implementation-ready modules designed for reliability, safety, and real operations.
Extraction pipeline
Schema-based extraction with confidence scoring.
Validation + review
Rules and human review queues for exceptions.
Workflow routing
Approvals and routing integrated into operations.
Audit-ready logs
Traceable outputs with request IDs and retention rules.
Deliverables
What you’ll get
Concrete outputs designed for predictable handoff and measurable improvements.
Extraction schema + mapping rules
Document ingestion and processing pipeline
Validation + review queue UX
Workflow routing and audit logs
Integration/export to onboarding systems
Handoff documentation
Process
How we work
A pilot-first approach, with the quality and governance needed for production rollouts.
Define
Fields, rules, and edge cases.
Extract
Pipeline setup and confidence scoring.
Review
Review queue and approvals.
Integrate
Sync to onboarding systems.
Stack
Suggested implementation stack
A practical stack we can adapt to your constraints and existing systems.
Automations
Example automations
A few workflows that usually deliver ROI quickly.
ID ingestion and field extraction
Validation and exception handling
Review routing and approvals
Integration with onboarding systems
Start Small
Start small in 7 days
Three pilot-friendly options that reduce risk and ship value fast. Choose one, share access, and we deliver a production-ready baseline.
Standard
AI delivery standard
Quality and safety practices we ship with AI builds so the system stays measurable, maintainable, and production-ready.
Logging + tracing
Conversation and tool traces with request IDs, error visibility, and debug-friendly runbooks.
Guardrails + safety
Tool allowlists, PII-safe patterns, refusal behavior, and escalation routes for edge cases.
Evals + regression tests
Golden queries, scorecards, and regression checks so quality improves over time instead of drifting.
Cost + latency controls
Caching, prompt discipline, retrieval tuning, and routing so your app stays fast and predictable at scale.
Documentation + handoff
Architecture notes, environment setup, and next-step roadmap so your team can iterate safely after launch.
Security-first integration
Secrets isolation, role-based access, audit-friendly actions, and minimal data retention by design.
Pricing
Typical pricing ranges
We confirm scope before starting. These ranges help you plan a pilot versus a full rollout.
Pilot (1–2 document types): $900–$3,500
Multi-doc + integration: $2,500–$10,000
Timelines
Delivery timelines
Common timelines for pilots and production hardening, depending on integrations and governance.
Pilot: 1–2 weeks
Expanded rollout: 2–4 weeks
Risks
Risks & mitigation
The failure modes we design for so reliability and trust stay high.
False positives/negatives
We use thresholds, validation rules, and human review workflows.
Compliance constraints
We design retention rules, access boundaries, and audit logs early.
AI Case Examples
Micro case studies (anonymous)
A few safe examples of outcomes we build for real operations—no client names, just results.
Secure Mobile Solution in Australian Defence Ecosystem
Problem: Secure data workflows were required in a regulated environment with strict access controls.
Solution: Hardened architecture with strict auth, encrypted storage, and audit-friendly engineering patterns.
Outcome: Deployed securely within a regulated ecosystem with clear handoff and operational guidance.
AI Knowledge Base Across 2,000+ Pages
Problem: Teams needed fast answers across long PDFs, but search was slow and results were inconsistent.
Solution: RAG with hybrid retrieval and reranking, plus grounded answers and safer fallback behavior.
Outcome: Reliable answers with <10s response times and measurable improvements on real queries.
Ops Automation with AI + n8n
Problem: Manual approvals and CRM syncing created delays and data inconsistencies across tools.
Solution: Event-driven automation with validation gates and AI-assisted classification where it improved routing.
Outcome: Reduced manual workload significantly with more reliable workflows and operator visibility.
Relevant Gigs
Start with a fixed-scope gig
Pick a gig to launch a pilot quickly with clear deliverables and timeline.
Compare
Decision guides
Quick comparisons to help you choose the right approach before building.
Related Services
Explore deeper implementations
When you need more depth than a pilot, these services cover full delivery.
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More AI pages
Additional pillars and use cases to help you plan your roadmap.
FAQ
Frequently asked questions
Can we add human review for low-confidence cases?
Yes. Review queues are core for safe onboarding and compliance workflows.
Do you support multiple document types?
Yes. We start with a small set, then expand with validation and monitoring.
How do you handle audit requirements?
We log inputs, outputs, reviews, and approvals with retention rules aligned to your needs.
Can this integrate with our onboarding platform?
Often yes, depending on APIs and permissions. We can also export structured outputs if needed.
How fast can we launch a pilot?
A pilot for 1–2 document types typically ships in 1–2 weeks once samples are available.
Do we own the pipeline code?
Yes. Source code and handoff notes are included.
Want an AI pilot for your workflow?
Start with a fixed-scope gig or request a tailored implementation plan for your systems.