Platform Modernization

AI-Ready Database &
Platform Modernization

Modernize your database and data platform so AI projects can actually launch and scale. An engagement designed to deliver a pragmatic 5–8 month modernization plan sized for your business.

Purpose

To assess your current estate, design a target Oracle 23ai/26ai architecture, and deliver a pragmatic modernization plan that enables AI scalability without multi-year disruption.

The Problem We Solve

Many organizations want AI, but legacy databases, unsupported versions, and fragile integrations make data slow, unreliable, and risky.

The result: AI pilots stall, reports are delayed, and IT spends more time firefighting than enabling the business.

Our Approach

A structured path from legacy inventory to a modern, AI-enabled platform.

1
Phase

Database Estate Inventory

2–4 weeks

Catalog all production databases tied to ERP, analytics, and operations—platform, version, workload type, environment, and key dependencies. Identify unsupported versions, performance bottlenecks, and single points of failure.

Deliverable:Database Estate Inventory with systems, owners, and criticality ratings.
2
Phase

AI‑Readiness Gap Assessment

2–3 weeks

Evaluate major databases against AI requirements: scalability, latency, throughput for analytics/ML workloads, observability, security, and compliance. Assess integration capabilities with Oracle 23ai/26ai and related cloud AI services.

Deliverable:AI Readiness Heatmap showing where upgrades or re‑platforming are required.
3
Phase

Target Architecture & Roadmap

3–4 weeks

Define the target state: consolidation onto supported Oracle versions, cloud capabilities for elasticity, and clear separation of transactional and analytical workloads. Map dependencies and phases for a 5–8 month implementation that avoids ERP disruption.

Deliverable:Target Architecture Diagram and 5–8 month Modernization Plan with cost, timing, and risk estimates per phase.
4
Phase

Pilot Migration & Quick Wins

4–8 weeks

Select 1–2 low‑risk systems (for example, reporting or analytics databases) as pilots. Execute upgrade or migration, implement monitoring, validate performance gains, and refine estimates before wider rollout.

Deliverable:Validated pilot migration and refined rollout plan.
5
Phase

Full Rollout Support

Ongoing

Coordinate phased migrations, hardening, and decommissioning of legacy instances. Align each step with your AI roadmap so future AI services—such as LLM‑based document understanding, anomaly detection, and intelligent pricing engines—plug into an upgraded, reliable platform.

Deliverable:Decommissioned legacy systems and fully operational AI-ready platform.

Outcomes This Unlocks

Reliable Data Feeds

High-quality data feeds for forecasting, planning, and analytics.

Proven Performance

Proven performance for dashboards and ad‑hoc queries, with reduced outages and firefighting.

AI-Ready Platform

A platform that can support current and future AI workloads with better security, governance, and cost control.

Why Iteria

Iteria combines deep Oracle‑native expertise with real‑world AI use‑case delivery.

The approach is designed for mid‑market organizations that need results in 5–8 months, not multi‑year transformation programs—delivering a clear path from today’s estate to an AI‑ready platform with measurable business value.

Investment Range

Assessment & Roadmap Package

$50k – $100k USD

For mid‑size organizations. Pilot and rollout work are scoped separately.

Allows you to move forward in stages, prove value early, and keep the full modernization on track without over‑committing upfront.

Ready to Modernize?

Stop fighting fires and start building the foundation for AI.

To start, email us at:

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