Consulting
Simple solutions for complex problems
We help mid-size and large companies use AI and machine learning on the data already in their ERP and sales systems, for descriptive, predictive and prescriptive analysis that improves efficiency, traceability, predictability and profitability.
A structured AI roadmap
We define your digital transformation journey, so you know where to start and what comes next.
- Where AI and ML will pay off first in your business
- A step-by-step roadmap with owners and milestones
- Second-tier leadership, HR and business-unit heads aligned on shared priorities
- Readiness check of your data, systems and skills
AI/ML consulting and projects
We scope, build and deliver AI and ML projects end to end with our reusable in-house framework, which cuts time and cost.
- Pilot scope agreed with all stakeholders, with clear success criteria and deliverables before work starts
- Descriptive, predictive and, over time, prescriptive models
- Built in short iterations, so results are checked early and adjusted
- A plan to scale from pilot to full deployment at an affordable cost
ERP-AI integration
A productised, reusable framework that turns data from your ERP into AI-ready data, mapped to industry-specific models designed in-house.
- Works with SAP S/4HANA, Oracle E-Business Suite, Microsoft Dynamics 365 and Salesforce
- Extracts and cleans large volumes of historical data so models can be trained on it
- Flexible enough for your customisations and add-ons
- Industry versions for banking, insurance, retail, health care, pharma, supply chain and aviation
DigiTrans roadmap
From digital awareness to digital mastery
Every company moves through three stages. We meet you where you are and bring all stakeholders along.
- Leadership workshops
- Use cases ranked by value
- Where to start
- ERP data made trainable
- Teams trained on industry cases
- Pilot with success criteria
- Models at full scale
- Prescriptive decisions
- Ongoing support and improvement
Optimise X
How Optimise X puts AI on your ERP data
Your systems
- SAP S/4HANA
- Oracle E-Business Suite
- Microsoft Dynamics 365
- Salesforce
Optimise X
- Extract large historical data
- Clean and check it
- Map it to industry models
- Fit your customisations
Analysis
- Descriptive: what happened
- Predictive: what will happen
- Prescriptive: what to do
Outcomes
- Efficiency
- Traceability
- Predictability
- Profitability
How an engagement runs
- Hands-on workshopYour stakeholders learn on industry use cases close to your own processes (see corporate training).
- Pilot scopeTogether we pick the use case and agree success criteria and outcomes.
- Data readinessWe extract and clean the history from your ERP and sales systems.
- Build in sprintsModels are built in short cycles and checked against the agreed criteria.
- ScaleOptimise X takes the working models from pilot to full scale.
Problems we solve
No clear starting point
Companies are unsure where and how to begin with AI and ML, which leads to confusion and delayed decisions.
Pilots without metrics
Vague goals and deliverables make it hard to judge whether a pilot worked. We define success before it starts.
ERP data that cannot be trained on
ERP and sales systems are not built for large-scale model training, and customisations add complexity. We build the data path that is.
Too much data for people alone
Improving efficiency and productivity needs large amounts of contextual data that are hard for experts to review by hand.
Pilots that never scale
Scaling needs ERP knowledge, industry process knowledge and AI/ML skills together, at an affordable cost.
Stakeholders pulling apart
Leadership, HR and business units have different priorities. We bring them onto one plan with shared measures.
Ways to work with us
Project consulting
Roadmaps, AI/ML project management and end-to-end solutions, priced by project size and complexity.
Training and workshops
Industry-specific AI/ML programmes for teams, one-time or as continuous learning. See corporate training.
Optimise X licence
The framework tailored to your industry, as a one-time licence or a subscription with updates.
Support and maintenance
Updates, troubleshooting and scaling for AI/ML solutions after go-live.
Industries
Banking, insurance, retail, health care, pharmaceuticals, customer service, supply chain and transportation, airlines and aviation.
Business functions
Operations, sales, marketing, customer support, maintenance, manufacturing, warehousing, supply chain and deliveries, finance and cost control.
Discuss your AI plans
Tell us where you are on the journey and what you want to achieve.