Mission before module
The starting point is the operational mission: what must be known, decided, monitored or executed, and what evidence is required to trust the result.
Aeroh brings fragmented records, documents and operational signals into governed intelligence environments, then deploys controlled agents where decisions must be traceable, secure and useful in production.
Aeroh is a specialist implementation partner for organisations that need to connect heterogeneous data and use AI in environments with real operational, legal or security constraints.
The starting point is the operational mission: what must be known, decided, monitored or executed, and what evidence is required to trust the result.
Records, documents, events and external signals are connected into governed environments without forcing a replacement of systems that already work.
Permissions, audit trails, retention rules and human approval are designed into the architecture. Data remains under your policies and European privacy requirements.
Domain experts shape the workflow and risk boundaries. Engineering turns that knowledge into systems that can be operated, reviewed and expanded.
Every solution rests on the same connected and governed foundation. That is how answers stay grounded, agents stay within policy, and signals reach the right people in time.
Foundation
We map where information lives, connect ERP, CRM, documents, databases and APIs, and keep lineage, quality and access rules intact — without replacing systems that already work.
Agents built around real workflows: gather authorised evidence, follow defined steps, act or escalate. Every decision logged, every output traceable to source.
Solution lines
Controlled agents that execute real workflows on your connected data.
Agents that gather evidence from authorised sources, follow multi-step processes, act within explicit boundaries or hand off to a person. Every action is logged and every recommendation is traceable to source.
Grounded knowledge access across documents, records and live data.
A secure, role-based knowledge layer that unifies your documents, operational records and systems. Teams get fast, accurate answers with sources attached — no hallucinations, no blind spots.
Continuous monitoring that surfaces risk and drift before it compounds.
A monitoring layer that watches your connected estate for anomalies, policy violations and emerging issues. Early signals reach the right people with the evidence needed to act.
Aeroh is built for environments where the work is physical, regulated and cross-system. The value appears when operational signals, records and human decisions can be analysed 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.
Passenger movement, capacity pressure and service performance visible before bottlenecks form.
Energy assets, grid signals and resilience indicators monitored with operational context.
Two front doors, one implementation discipline: connect data, govern access, deploy intelligence with proof. Implementations follow GDPR and applicable European privacy law.
Manufacturing, financial services, logistics and infrastructure organisations run on dozens of systems. We connect that estate and deploy intelligence where reconciliation, reporting and missing context slow teams down.
Public institutions need sovereign data handling, auditable outputs and clear approval chains. We engineer access boundaries and evidence trails into every workflow — from case handling to regulatory reporting.
Different missions, different data estates — the pattern is the same: connect the sources, govern access and put controlled AI inside real operations.
Multi-source data fusion and governed agents for intelligence, investigation and operational coordination.
Connect plant systems, supply data and market signals — then deploy agents for monitoring, reporting and planning.
Unify research, supply chain and regulatory records with governed search and workflow automation.
Process automation, anomaly detection and reporting — with audit trails and access control built in.
Case handling, regulatory reporting and institutional knowledge — sovereign data, traceable answers, human accountability.
Operational resilience, incident response and cross-system visibility for networks that cannot afford blind spots.
We combine advisory, integration and engineering work so the solution fits the mission, the existing systems and the required controls.
We map the operational objective, stakeholders, data domains, decision points and risk boundaries before choosing the technical shape.
Sources are mapped, connected and governed before any agent becomes active. Lineage, quality and access rules are part of the build.
Agents, search and monitoring work inside the tools and approval chains your teams already use. Exceptions are routed to people.
Outputs, sources, actions and decisions are logged so operations, compliance and leadership can review what happened and why.
Successful use cases become reusable data and governance assets for the next solution line, instead of isolated experiments.
We implement the stack required for production AI and data intelligence — not isolated model work. Capabilities are composed around your estate, mission and controls.
Connect ERP, CRM, databases, documents, APIs and operational applications without replacing existing systems.
Search and retrieve across structured records and unstructured documents to ground every agent response in evidence.
Design multi-step tasks, tool use, hand-offs between agents and escalation when confidence or risk thresholds are reached.
Enforce role-based permissions, data sovereignty and policy boundaries at the data layer and inside each workflow.
Log prompts, sources, actions and outcomes so operations and compliance can review what happened and why.
Require approval for consequential actions, capture exceptions and keep a person accountable for final decisions.
Contact
Tell us where fragmented data, slow analysis or weak operational visibility is creating risk. We will map the data, controls and implementation path required.