Private Knowledge Assistants
Internal AI systems grounded on your own documents for search, summarization, and first-draft support.
Secure AI systems for professional workflows
Practical AI infrastructure for teams that need privacy, accuracy, and dependable delivery.
I design and coordinate implementation of private AI assistants and operational pipelines for document-heavy organizations. The focus is simple: systems that are useful in real work, not demos.
What I Build
Workflow-Ready Integrations
Deployments that fit current operations, including identity, permissions, data ingestion, and traceability.
Delivery-Led Implementation
Clear milestones, small senior teams, and measured outcomes so projects move from concept to production.
Delivery Approach
- 01 Discovery: define use cases, security boundaries, and success metrics.
- 02 Pilot: launch a focused MVP with real documents and real user testing.
- 03 Validation: measure speed, quality, and adoption against baseline workflows.
- 04 Rollout: expand coverage with governance and ongoing support.
Pilot Engagements
Research Copilot Pilot (2-3 weeks)
Limited-scope internal assistant using a selected document set, with source-grounded answers.
Knowledge Hub Pilot (2-4 weeks)
AI retrieval for SOPs and internal knowledge to reduce lookup time and improve consistency.
Workflow Sprint (1-2 weeks)
Rapid assessment + prototype automation to validate ROI before a larger implementation.
Let’s Talk
If you are exploring secure AI systems and workflow modernization, reach out for a focused discovery call.
Email: [email protected]