GenAI Solutions
Move GenAI From Pilot to Production.
Secure, governed GenAI applications on Claude via Amazon Bedrock, including enterprise chatbots, RAG systems, document intelligence, and product copilots.
Start a GenAI Discovery SprintThe GenAI demo is easy.
Production is where most programs fail.
Common blockers include
Pilots that never scale
Prototype architectures fail under real data, users, and security reviews.
Low trust in answers
Unsourced or inconsistent outputs limit adoption.
Security concerns
Legal and compliance teams need clarity on data access, audit trails, and model usage.
Knowledge trapped in documents
Critical information sits across policies, contracts, manuals, videos, tickets, and runbooks.
Disconnected AI experiences
Standalone chatbots create limited value unless embedded into workflows and products.
Sourcefuse builds GenAI systems designed for enterprise adoption and production use.
We deliver
Enterprise knowledge assistants
AI copilots that answer from governed internal knowledge with source references.
Customer-facing chatbots
Secure RAG-powered assistants for portals, products, and support experiences.
Document intelligence
AI for compliance review, contract analysis, policy interpretation, and structured extraction.
RAG pipelines
Hybrid search, vector databases, embeddings, retrieval governance, and answer traceability.
Claude on Amazon Bedrock
Private, IAM-aligned, auditable deployment inside the client’s AWS environment.
GenAI governance
Guardrails, access control, prompt management, PII controls, human review, and audit logs.
Business Impact
Higher production success
Architecture built for scale, security, and adoption from day one.
Faster knowledge access
Employees and customers get sourced answers instantly.
Reduced manual review
Accelerate document-heavy workflows across legal, compliance, support, and operations.
Improved trust
Source attribution and governance reduce hallucination risk.
Security review readiness
Bedrock, IAM, guardrails, and audit trails address enterprise AI concerns.
customer stories
