AI Transformation Services
Most enterprise AI never makes it past the pilot. Our AI transformation services take it into production, where it moves the numbers your board watches.
Trusted by Enterprises in 30+ Countries
OUR SERVICES
AI Transformation Services We Deliver
AI Strategy & Roadmap
An enterprise AI transformation strategy that links every AI investment to a business goal.
Data & Systems Foundation
We fix data and system gaps first, so AI works inside your core workflows.
Adoption &
Change
Workflow redesign and role-based training so your teams actually use the AI you build.
Governance & Value
Clear ownership, guardrails and value tracking that prove AI's return and keep it controlled.
OUR SOLUTIONS
Our AI Transformation Solutions
Document Processing
Predictive Maintenance
AI spots early signs of equipment failure and quality defects using sensor, machine and inspection data. Plants see fewer unplanned stops and much less scrap overall.
Demand Forecasting
Knowledge Search
Employees ask questions in plain language and get answers from policies, manuals and records across the company. Less time spent searching, with far fewer costly mistakes.
Fraud Detection
AI scores risk and flags suspicious claims or transactions as they arrive, while your people review the exceptions. Losses drop without slowing down your genuine customers.
Customer Assistants
AI assistants answer questions, book appointments and resolve routine requests for customers and patients at any hour. Your service teams can focus on the complex cases.
OUR PROCESS
How We Implement AI Transformation
Our Approach
Every engagement starts with the business, not the model. We work with your leaders to find where AI can change real results the most, then rank each opportunity by value and effort using our enterprise AI transformation framework.
Key Activities:
- Align leadership on the outcomes AI must deliver
- Review current AI pilots, tools and spending
- Score use cases by value, effort and readiness
- Build a phased roadmap with owners and metrics
Our Approach
AI can only go as far as your data and systems allow. We check whether your foundation can support those use cases. Where gaps are bigger, we fix them first through AI Readiness, so the build starts strong.
Key Activities:
- Review data quality for priority use cases
- Check integration across ERP, CRM and core systems
- Assess infrastructure and platform fit for AI
- List the fixes needed before the build starts
Our Approach
This is where pilots become working enterprise AI transformation solutions. Our engineers build AI into the tools and workflows your teams already use, rather than adding another standalone app. Everything is tested against real data before going live.
Key Activities:
- Build priority AI use cases for production
- Integrate with existing systems and data sources
- Test for accuracy, reliability and edge cases
- Roll out to a first group of users
Our Approach
A system only creates value when people use it. We redesign the workflows around each AI solution and help teams understand what changes in their day. Adoption is then tracked the same way as any other business result.
Key Activities:
- Redesign workflows with the teams doing the work
- Deliver role-based training and guidance for teams
- Set up feedback loops to improve the system
- Track adoption by team and use case
Our Approach
AI isn't finished at launch. Our enterprise AI transformation services track results against the success metrics agreed at the start, control costs, and retrain models as your data changes. Proven wins become the next wave of use cases.
Key Activities:
- Track results against the original success metrics
- Monitor AI accuracy, cost and usage over time
- Retrain models as data and needs change
- Expand proven use cases to new teams
Our Approach
Every engagement starts with the business, not the model. We work with your leaders to find where AI can change real results the most, then rank each opportunity by value and effort using our enterprise AI transformation framework.
Key Activities:
- Align leadership on the outcomes AI must deliver
- Review current AI pilots, tools and spending
- Score use cases by value, effort and readiness
- Build a phased roadmap with owners and metrics
Our Approach
AI can only go as far as your data and systems allow. We check whether your foundation can support those use cases. Where gaps are bigger, we fix them first through AI Readiness, so the build starts strong.
Key Activities:
- Review data quality for priority use cases
- Check integration across ERP, CRM and core systems
- Assess infrastructure and platform fit for AI
- List the fixes needed before the build starts
Our Approach
This is where pilots become working enterprise AI transformation solutions. Our engineers build AI into the tools and workflows your teams already use, rather than adding another standalone app. Everything is tested against real data before going live.
Key Activities:
- Build priority AI use cases for production
- Integrate with existing systems and data sources
- Test for accuracy, reliability and edge cases
- Roll out to a first group of users
Our Approach
A system only creates value when people use it. We redesign the workflows around each AI solution and help teams understand what changes in their day. Adoption is then tracked the same way as any other business result.
Key Activities:
- Redesign workflows with the teams doing the work
- Deliver role-based training and guidance for teams
- Set up feedback loops to improve the system
- Track adoption by team and use case
Our Approach
AI isn't finished at launch. Our enterprise AI transformation services track results against the success metrics agreed at the start, control costs, and retrain models as your data changes. Proven wins become the next wave of use cases.
Key Activities:
- Track results against the original success metrics
- Monitor AI accuracy, cost and usage over time
- Retrain models as data and needs change
- Expand proven use cases to new teams
WHY IT MATTERS
Benefits of Enterprise AI Transformation
AI That Pays Back
Pilots That Ship
Faster, Better Decisions
Lower Operating Costs
Scale Without Hiring
Teams That Use It
Latest Case Studies
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Rebuilt and unified parcel operations for an Australian logistics network across 1,700+ locations
Unified 1,700+ partner locations and five carrier integrations into a single parcel management platform, processing 10,000+ daily transactions.
Read Full Case Study → -
Designed and built every internal clinical system for Australia's leading cancer centre
Clinical systems, MDT workflows, staff compliance, and an Azure analytics platform built from scratch for a specialist cancer centre across 9 departments.
Read Full Case Study → -
Engineered a joint replacement care platform connecting surgeons, engineers, and patients across 17,350 cases
A complete joint replacement care pathway digitised — from booking through 24-month post-operative recovery — across 17,350 patient cases.
Read Full Case Study → -
Delivered a multi-phase order lifecycle platform for a global industrial manufacturer
Eight-year engagement delivering a governed order lifecycle platform covering RFQ, OA, Change Orders, and Document Submittal across multi-site manufacturing operations.
Read Full Case Study → -
Eliminated IT dependency for Kaizen teams across 30+ manufacturing sites
Kaizen teams across 30+ manufacturing sites can now design and deploy custom workflow tools without raising an IT request.
Read Full Case Study →
TESTIMONIALS
Businesses Worldwide Trust Classic Informatics
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PARTNER WITH US
Why Classic Informatics?
Value Beyond Code
Real-time data and modern systems give your teams the visibility to act.
Deep Tech Expertise
20+ years across legacy, data, and AI — the hard problems aren't new to us.
Built for Growth
We align every solution to your business goals, not just your tech stack.
Reliable Delivery
Expert teams who move fast, communicate clearly, and deliver on time.
AI-First Approach
Every solution we build is designed with AI in mind, from architecture to delivery.
Complete Transparency
You know what we're building, why, and what it costs — at every stage.
FAQS
Frequently Asked Questions
AI readiness checks whether your data, systems and teams can support AI before you invest. AI transformation is the next step, where AI moves into production and changes how work gets done across the business. Many clients start with a readiness assessment and move straight into transformation once the gaps are fixed.
Ready to Make AI Part of How You Work?
Strategy, build and scale, with one team.
