API-First Proposal: GPT-5 Integrated Retrieval for Adamet Pvt Ltd
Enhance GPT-5 with multi-source enterprise APIs. Private, provenance-tracked, policy-enforced. No new UI required. Tailored solution for Adamet's business intelligence needs.
Client Requirements
Exact needs driving this API-first architecture
Our Solution Architecture
Six core pillars that deliver secure, scalable, and auditable AI integration
1. API Gateway / Tool Facade
GPT-5 Enterprise calls our secure API Gateway, which presents tools like fetch_tenders, search_docs, and fetch_competitors. All requests authenticated via JWT/OIDC.
2. RAG Orchestrator
Plans multi-source queries, orchestrates semantic and keyword searches, fuses results, and assembles context with citations before returning to GPT-5.
3. Policy Before Payload
Policy Engine enforces ABAC/RBAC and redacts unauthorized chunks. Only compliant, filtered data reaches the model.
4. Pluggable Connectors
Modular adapters for SharePoint, Tender DB, Competitor DB, and future sources. Each connector handles authentication, schema mapping, and retrieval.
5. Provenance Store
Durably maps every retrieved chunk to its source (doc_id, URI, checksum, timestamp). Enables citation verification and audit trails.
6. Observability & Audit
Logs, metrics, and traces for every query. Policy audits, latency SLOs, and retrieval analytics in one dashboard.
High-Level Architecture
API-first design with GPT-5 Enterprise as the consumer. All components enforce access control and redaction before returning payloads.
Identity Provider (SSO/RBAC) authenticates all requests
API Gateway exposes tools to GPT-5 with normalized query/plan interface
RAG Orchestrator performs semantic + keyword search, filters via Policy Engine
Connectors retrieve from SharePoint, Tender DB, Competitor DB
Provenance Store maps citations; Observability tracks all operations
Security & Compliance
No Model Training
Zero proprietary data used for fine-tuning or model updates
ABAC/RBAC
Attribute and role-based access control enforced before retrieval
Redaction
PII and sensitive fields masked in all payloads to GPT-5
Private Networking
All internal APIs on private VPC with zero public exposure
Audit & Telemetry
Full trace logs with policy decisions and retrieval lineage
Deliverables & Timeline
Discovery & Design
2 weeks- Finalize connector schemas
- Define tool signatures for GPT-5
- Security policy framework
PoC Development
4 weeks- SharePoint + Tender DB connectors
- RAG orchestrator with policy engine
- 12-15 test queries with success metrics
Testing & Validation
2 weeks- Latency benchmarks (p95 < target)
- Provenance verification tests
- Security audit report
Production Rollout
2 weeks- Live integration with GPT-5 Enterprise
- Observability dashboards
- Runbook and ops handoff
Download Complete Proposal
Get the full proposal document with detailed architecture diagrams, timeline, and technical specifications for Adamet Pvt Ltd.
Questions? Contact our team