Integration with what you already run
The model is the easy part. We connect it to SAP, Dynamics, Logo, Netsis, your CRM and your data pipelines through secure APIs, so the output lands where people already work.
AI Integration Consulting
Most AI pilots stall before production. We start by finding which of your processes genuinely warrant AI, prove it with one measurable pilot, then integrate it into the CRM, ERP and data systems you already run.
From Stalled Pilot to Production AI
Most AI investment stalls at the pilot stage, and the cause is rarely the technology. It is usually the wrong use case, no integration with the systems the business actually runs on, and no agreed definition of what success looks like. We work the other way round. We start with the decision you are trying to improve, pick one process where the return is measurable, and build from there. Common applications: process automation, customer-data analytics, natural-language assistants and decision-support systems. We work with mid-sized and large companies across manufacturing, logistics, finance and services.
Measuring whether it worked
Every deployment ships with instrumentation. Handling time, error rate, cost per case, manual touchpoints: the metrics are agreed before the build, not reverse-engineered after it.
Pilot before platform
One clearly defined problem, one use case, a working proof of value. You see real output in weeks, and the decision to scale rests on evidence rather than a vendor's roadmap.
Running it after launch
Monitoring, retraining, drift detection and a backlog that grows with the business. Or we hand the whole thing to your team with documentation they can work from.
What it costs and how long it takes
A focused pilot typically runs 4-8 weeks; production integration follows in phases. We scope both before you commit, so the budget conversation happens up front rather than after the prototype.
When AI is the wrong answer
Sometimes the honest recommendation is a rules engine, a better integration, or fixing the data first. We would rather tell you that in week two than bill you for six months of model tuning.
Which processes actually warrant AI
Not every workflow needs a model. We map your operation, score candidate use cases by data readiness and business value, and tell you which ones to skip. A short list of three is more useful than a roadmap of twenty.
Your data, your governance
Access controls, audit trails, and KVKK and GDPR compliance are engineered in from the start. We document what data the model sees and what it does not.
AI Integration Success Stories
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