Background
IApropia, with support from Rambunct, built a secure, multi-tenant AI agent platform using Amazon Bedrock, enabling businesses to deploy private AI assistants tailored to proprietary workflows, while maintaining strict data privacy, compliance, and intelligent automation across sectors.
The Challenge
- Businesses required AI models that ensured full control and privacy over sensitive, proprietary data.
- Generic AI tools failed to support domain-specific language, processes, or regulatory constraints.
- Multi-client support demanded secure, isolated AI environments with scalable infrastructure.
- Lack of automation and integration limited AI’s role in augmenting business workflows and systems.
Our Solution
- Used Bedrock with Claude and similar foundation models for secure, VPC-isolated deployments.
- Integrated private knowledge bases for each client, updated via RAG pipelines and AWS Glue.
- Enabled prompt engineering and role-based configuration to serve employees, clients, and partners uniquely.
- Built multi-tenant support with governance and model customisation tailored to business needs.
The Result
The new platform delivered scalable, intelligent automation to businesses while preserving security, privacy, and adaptability.
- 90% improvement in information handling efficiency across enterprise workflows.
- 80% reduction in time spent on manual document search and repetitive queries.
- 100% data privacy compliance through VPC isolation, encryption, and access controls.
- Rapid onboarding of new businesses with specialised AI agents in multi-tenant environments.
