OAC AI Assistant (AIA) Implementation and Optimization
Objectives:
Democratize data access by transforming your analytics platform into a conversational business partner. We aim to eliminate the technical barriers to insight by meticulously configuring the semantic layer and Natural Language Query (NLQ) engine, allowing users to extract complex data simply by asking questions in plain English.
Goals:
Empower Business Users: Enable non-technical staff to query data.
Accelerate Decisions: Reduce the “time-to-insight” from days to seconds.
Maximize Oracle Investment: Unlock the dormant AI capabilities in OAC.
Ensure Trust: Calibrate the AI’s vocabulary and logic to ensure answers are precise.
OAC AIA Phase 1:
Assessment and Readiness Review
Estimated Duration: 1.5 to 2 weeks
Objectives:
Evaluate current Oracle Analytics Cloud and / or Fusion Data Intelligence environments to establish prerequisites for AIA setup.
Key Activities:
- Review data architecture, integrations, and user permissions.
- Identify use cases and role‑based analytics needs.
- Assess metadata readiness and data quality.
- Prepare the readiness and gap assessment report.
Deliverables:
Readiness Assessment Report
Implementation Roadmap and Timeline
Gap and Risk Analysis
Estimated Cost: $14,000-$18,000
OAC AIA Phase 2:
System Setup and Configuration
Estimated Duration: 1 to 1.5 weeks
Objectives:
Deploy AIA within OAC and / or integrate it with Oracle Fusion Data Intelligence and / or related data sources.
Key Activities:
- Enable AIA services in the OAC environment.
- Configure connections to Fusion Data Intelligence datasets or other required data sets.
- Set up user access, roles, and security policies.
- Validate technical connectivity and single sign‑on setup.
Deliverables:
Configured AIA instance is integrated with Fusion Data Intelligence or other data sources.
Technical and Access Configuration Documentation.
Estimated Cost: $9,000-$13,000
OAC AIA Phase 3:
Data Dictionary Creation
Estimated Duration: 2 to 3 weeks
Objectives:
Establish a comprehensive data dictionary to define the core business entities, attributes, and relationships for AIA processing.
Key Activities:
- Catalog Fusion ERP, HCM, SCM, and CX subject areas.
- Define naming conventions and standardized metrics.
- Align Data Dictionary with Oracle Data Catalog standards.
- Publish dictionary within the OAC semantic model.
Deliverables:
Complete Data Dictionary.
Metadata Model Published to AIA.
Estimated Cost: $18,000-$26,000
OAC AIA Phase 4:
Custom Data Descriptions Development
Estimated Duration: 1 to 1.5 weeks
Objectives:
Enhance AI comprehension and business context using natural‑language data descriptions.
Key Activities:
- Create narrative descriptions for datasets, measures, and dimensions.
- Align language with business terminology and user phrasing.
- Validate via prompt testing and user review sessions.
Deliverables:
Data Description Catalog.
Updated Business Glossary for AIA.
Estimated Cost: $8,000-$12,000
OAC AIA Phase 5:
Synonym Definitions and Data Set Indexing
Estimated Duration: 1 week
Objectives:
Expand AIA’s natural‑language vocabulary through synonyms and optimize dataset indexing for better query accuracy.
Key Activities:
- Map synonyms for KPIs and business terms.
- Configure AIA indexing and categorization rules.
- Test semantic search and context recognition.
Deliverables:
Synonym Dictionary.
Indexed and Validated Data Sets.
Estimated Cost: $6,000-$8,000
OAC AIA Phase 6:
Advanced Data Preparation and Fine‑Tuning
Estimated Duration: 2-3 weeks
Objectives:
Refine AIA’s performance through advanced data handling, model calibration, and query optimization.
Key Activities:
- Build calculated fields and transformations.
- Integrate machine learning or predictive models if applicable.
- Calibrate query handling, caching, and result generation.
- Conduct UAT and performance benchmarking.
Deliverables:
Fine‑Tuned AIA Environment.
Performance Optimization Report.
Final User Training and Adoption Plan.
Estimated Cost: $19,000-$25,000