Agentic AI solutions
Data & Knowledge Intelligence
Make approved business knowledge accessible through enterprise search, document intelligence and AI assistants with source references.
Discuss this capability
Put your knowledge within reach.
Policies, customer records and operational knowledge are often distributed across documents and business systems. Finding the right answer takes time, and outdated information can lead to avoidable rework.
RDMI builds retrieval and document workflows around source quality, permissions and the questions your teams need to answer. Responses can include supporting references and route uncertain or incomplete answers for review.
Quality is measured against representative business questions: answer accuracy, source relevance, retrieval coverage and time to resolution. Improvement comes through evaluation and controlled updates.
Our Knowledge Intelligence Process
A defined scope, agreed acceptance criteria and operating evidence guide each stage of delivery.
Requirements & Evaluation Design
We agree on success criteria and assemble representative evaluation examples before choosing the implementation approach.
Architecture & Implementation
We design and build the right architecture for your needs — RAG, fine-tuning, or advanced prompting — with proper data pipelines and infrastructure.
Optimization & Production Hardening
We evaluate quality, access controls and failure behavior, then monitor the deployed system against agreed performance criteria.
Make the business case clear.
Share the workflow, the current constraints and the outcome you need. Together, we can define the scope, success criteria and path to implementation.