Services

RAG / GenAI Enablement

When AI ambition outpaces trust, governance, and real value.

Quick view

Who it’s for: Teams exploring AI but needing control, safety, and real use cases.

Category: Core Platforms & Data

Retrieval pipelinesSafety + governance
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Context / why this problem exists

Many teams experiment with AI, but pilots stall because: outputs aren’t trusted; knowledge isn’t grounded; compliance and governance are unclear.

AI without structure becomes risk, not leverage.

When this is the right solution

  • ▸You want AI tied to real internal knowledge
  • ▸Outputs must be accurate and on-brand
  • ▸Governance and auditability matter
  • ▸Use cases span ops, support, and teams

When this is not the right solution

  • ▸You want generic AI experimentation
  • ▸Accuracy and control are not critical
  • ▸There is no real knowledge base to ground on

How OUTLIER approaches it

We deploy governed AI copilots using retrieval-augmented generation. This includes:

  • ▸Curated knowledge pipelines
  • ▸Safety and access controls
  • ▸Role-based usage and logging
  • ▸Integration into real workflows

What changes after

  • ▸Faster answers without hallucination risk
  • ▸Productivity gains across teams
  • ▸Confidence from compliance and control
  • ▸AI that actually gets used
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Recent proof points

LINE Platform

LINE mini app overhaul readiness

LINE Platform

Validated

Validated (Lab tested)

LINE mini app overhaul readiness

Prepared a production-ready overhaul framework to migrate standard LINE LIFF experiences into a scalable LINE mini app — designed around habit loops, rewards, and partner activation.

  • ▸End-to-end mini app architecture replacing standard LIFF flows
  • ▸Reward logic and habit loop mechanics tested in controlled environments
  • ▸Integration patterns for retail partner participation and campaign scaling
  • ▸Deployment playbook ready for brand rollout
Services

GenAI support copilot with RAG

Services

Validated

Digital services company

GenAI support copilot with RAG

Designed an intelligent, on-brand GenAI copilot that turns internal knowledge into real-time, personalized support — learning continuously from customer behavior while operating within strict governance and legal guardrails.

  • ▸Controlled RAG engine trained only on approved internal knowledge
  • ▸Built-in guardrails to ensure brand safety, accountability, and legal compliance
  • ▸Human-in-the-loop escalation for sensitive or high-impact interactions
  • ▸Self-learning feedback loop using real user input and behavior
  • ▸CRM-integrated intelligence to tailor responses by customer profile and context