Enterprise and government
Governed data foundations and agentic AI for enterprise and public sector—built for production, not pilots.
We focus on complex, heterogeneous data environments where trust, auditability and operational integration are non-negotiable — with a pragmatic, phased approach tailored to organisations that want clear results without excessive risk or long implementation cycles.
In both cases, the core challenge is the same: data is fragmented across systems, it is difficult to get reliable answers quickly, and introducing AI carries high risk because there is no solid, governed foundation underneath.
Manufacturing, logistics, financial services, retail, construction and infrastructure companies that operate across multiple systems and need intelligence that improves day-to-day execution and planning.
Municipalities, local governments, water utilities, waste management, public transport, parking services and other public enterprises that manage sensitive data, face strict compliance requirements and need to demonstrate accountability for every decision and process.
We help organisations move from fragmented data and manual processes to governed, queryable data foundations and agentic systems that can safely operate inside real workflows.
We connect existing systems — ERP, CRM, document repositories, operational databases, spreadsheets and APIs — into one coherent, high-quality and auditable data layer. Quality rules, lineage, access controls and retention policies are established from the start.
On top of this foundation we design and deploy systems that can gather evidence from authorised sources, follow multi-step processes, detect issues, recommend actions or execute defined tasks — always within explicit boundaries and with full traceability. Human oversight remains where judgment or accountability is required.
Physical, regulated, cross-system work—when signals and records can be read together.
Traffic flow, public transport, disruption signals and city operations analysed as one living system.
Field operations, communications and mission context connected into traceable decision support.
Production throughput, quality checks and maintenance signals connected around the line.
Rather than offering pre-built platforms, we work as an implementation partner. We design and build the data foundation and agentic capabilities specifically around your operational workflows and governance requirements.
Everything is built to integrate with the systems and processes you already use.
Start with a clear understanding of the operational outcome and the data behind it
Build a trusted data foundation with proper governance and lineage
Introduce agentic capabilities in a controlled scope with defined boundaries
Measure quality, adoption and business impact
Expand to additional workflows using the foundation already created
Most engagements begin with a data assessment or a focused pilot on one high-value process.
Tell us the specific operational problem you want to solve — whether it is reducing errors in orders and invoices, gaining earlier visibility into supply or production risks, improving case handling in the public sector, optimising inventory or maintenance, or strengthening compliance and reporting processes. We will map the relevant systems and data, propose a practical first phase, and show how to achieve measurable results within a reasonable timeframe.
Aeroh is a specialised implementation partner for mid-to-large organisations in Serbia and the broader region that operate in complex data environments and want to introduce governed agentic AI in a reliable, controlled and results-oriented way.