IDA Business AI
Transform your SAP landscape with purpose-built AI solutions that deliver measurable business outcomes in just weeks.
Four practices, one delivery model. Each one starts from your landscape as it actually is, not from a reference architecture.
Transform your SAP landscape with purpose-built AI solutions that deliver measurable business outcomes in just weeks.
Models, signals, execution and low-latency infrastructure for trading desks, asset managers and brokers.
Testing, monitoring, incident response and AI-powered threat detection across cloud, application and identity.
Real-time insights on a foundation that is ready for AI from the day it goes live.
Platforms we built because the engagements kept needing them. Each one is in production with clients today.
Save up to 40% on your SAP S/4HANA migration cost and timeline with CeleRITE’s automation capabilities.
An enterprise-grade business AI acceleration platform featuring fine-tuned business AI models and Agentic AI tailored for industry-specific use cases.
Revolutionary invoice workflow with a cutting-edge vendor invoice management solution for improved efficiency and accuracy.
Optimize your international trade operations with an automated solution that streamlines export/import documentation, trade finance processes, and license/incentive management.
Experience seamless integration of offline and online channels with an AI-powered retail solution that enhances customer satisfaction and optimizes operations.
The consultants on your engagement have worked your industry's processes before they worked your system.
Most AI programmes stall between the pilot and production. Our framework treats that gap as the real work, so the thing you demo in week six is the thing that runs in month six.
See the frameworkA readiness assessment run on your live data establishes where value is concentrated and what your landscape can support today. Days, not months.
A pre-validated IRIS agent goes live against a single line of business, measured against a baseline agreed up front.
Agents move across functions under a governed reference architecture, monitored for drift and for outcome.
Each function that goes live shortens the next. The platform investment is made once.
A clean-core transformation that removed years of accumulated custom code while keeping store operations uninterrupted.
Profiling, cleansing and reconciliation ahead of the migration, so the new core started from data the business trusted.
An AFS to S/4HANA Fashion migration planned around the range calendar rather than the fiscal year.
Written by the people doing the work, about the parts that are genuinely hard.
Adding a chatbot to a service desk is not AI-embedded AMS. Changing what the service desk is measured on might be.
Two comparable fashion brands, two S/4HANA migrations, two very different answers on approach — and the reasoning behind each.
Bring us your landscape and the problem you actually have. We will come back with a business case, a roadmap, and an honest estimate of cost and timeline.