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 median tick-to-trade that looked competitive was hiding a 99th percentile that decided the profitability of the book.
The scanning was never the problem. Ranking findings by exposure rather than by severity score made the backlog finite.
Fewer strategies reached production, and the ones that did behaved in live trading roughly as the research had said they would.
Written by the people doing the work, about the parts that are genuinely hard.
A strategy that looked excellent in research and disappointed in production usually did not break. It was never as good as the backtest said.
Vulnerability management fails on prioritisation rather than on detection. The binding constraint is how much your engineering teams can actually remediate in a quarter.
Speed decides the outcome in some strategies and is an expensive distraction in others. The useful question is where your microseconds go, and whether losing them costs you anything.
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.