Evidence before fluency
Important answers must point to the records, systems and events that support them — not just read convincingly.
Enterprise & government
We connect your data and build agents your teams can verify.
Aeroh implements data integration and governed AI agents for organisations that cannot afford guesses — heterogeneous sources unified, workflows automated with approval, every output traceable to its source.
What we stand for
Useful AI starts with data you can trust.
Aeroh is an implementation partner — not a product catalogue. We connect your systems, documents and operational records, then deploy controlled agents inside the workflows where manual work and missing context slow decisions down.
Data and agents as one system
Integration, governance and retrieval are engineered together with the agent — not bolted on after a successful demo.
Privacy by design
Your data stays under your policies. We implement against GDPR and European privacy requirements — permissions, audit trails and human approval included.
Built for production
We design for operational use from the start: monitoring, exceptions, ownership and a path to expand scope with evidence.
Architecture
Data layer and agents, engineered together.
An agent is only as reliable as the data behind it. We implement both layers as one system — modular, but never disconnected.
Connected Data Layer
Fragmented sources, one governed environment.
We map where information lives, connect ERP, CRM, databases, documents and APIs, and preserve lineage, quality and access rules — without replacing what already works.
CapabilitiesControlled Agent Layer
Agents inside your workflows — not beside them.
Workflow agents built around your processes: gather sources, follow defined steps, act within limits or hand off to a person. Every action logged, every answer traceable.
CapabilitiesWhat we implement
Concrete workflows — not generic chatbots.
Every engagement starts from a real process. Below are the kinds of systems we design, build and operate once data is connected and governed.
Knowledge & Document Search
Search across contracts, procedures, reports and operational records — with sources attached to every answer.
- Enterprise search & RAG
- Document intelligence
- Institutional knowledge
- Workflow assistants
Workflow Automation
Agents that follow a defined process, act within limits and route exceptions to the right person.
- Multi-step workflow agents
- Approval gates
- ERP & CRM integration
- Exception handling
Compliance & Risk Monitoring
Compare records across systems, monitor policy alignment and prepare material for audit and review.
- Cross-system reconciliation
- Policy monitoring
- Audit trail preparation
- Anomaly detection
Operations Monitoring
Combine demand signals, stock levels and supplier data for earlier warnings and better planning decisions.
- Supply chain visibility
- Demand & inventory signals
- Operational dashboards
- Forecasting support
Case & Customer Intelligence
Unify CRM, billing, delivery and correspondence so front-line teams answer from one evidence-backed view.
- Case unification
- Front-line assistants
- Correspondence intelligence
- Resolution tracking
Management Reporting
Automate collection and reconciliation of figures and supporting records required for periodic reporting.
- Data gathering
- Figure reconciliation
- Supporting evidence
- Submission preparation
Investigation Workflows
Structured analysis across authorised data — records, operational sources and open information where permitted.
- Multi-source fusion
- Timeline reconstruction
- Entity resolution
- Report generation
Incident & Resilience
Monitoring and coordination workflows for institutions that must detect problems early and respond with documentation.
- Signal monitoring
- Crisis coordination
- Incident documentation
- Operational continuity
Enterprise and government
Two contexts. One implementation discipline.
The method is the same — connect data, govern access, deploy agents with proof. Implementations follow GDPR and applicable European privacy law.
Enterprise
Connect the estate. Automate where manual work costs you.
Manufacturing, financial services, logistics and infrastructure organisations run on dozens of systems. We connect that estate and deploy agents where reconciliation, reporting and missing context slow teams down.
Typical engagements
- Knowledge & Document Search
- Workflow Automation
- Operations Monitoring
- Case & Customer Intelligence
- Compliance & Risk Monitoring
- Management Reporting
Government
Traceable answers and human accountability — by design.
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.
Typical engagements
- Investigation Workflows
- Incident & Resilience
- Management Reporting
- Knowledge & Document Search
- Compliance & Risk Monitoring
- Workflow Automation
Sectors
Where we apply the same discipline.
Different missions, different data estates — but the implementation pattern holds: connect sources, govern access, deploy agents inside real operations.
Security & Defence
Multi-source data fusion and governed agents for intelligence, investigation and operational coordination.
Who we serveManufacturing & Energy
Connect plant systems, supply data and market signals — then deploy agents for monitoring, reporting and planning.
Who we serveLife Sciences
Unify research, supply chain and regulatory records with governed search and workflow automation.
Who we serveFinancial Services
Process automation, anomaly detection and reporting — with audit trails and access control built in.
Who we servePublic Administration
Case handling, regulatory reporting and institutional knowledge — sovereign data, traceable answers, human accountability.
Who we serveCritical Infrastructure
Operational resilience, incident response and cross-system visibility for networks that cannot afford blind spots.
Who we serveApproach
One workflow at a time — with proof at every step.
Most agentic AI projects stall because data was never connected or controls were never designed. Our method keeps both in scope from the first conversation.
Start with one workflow
We open with a single process — how it works today, which data it needs, what a controlled agent could change. No company-wide programme on day one.
Engineer the data path first
Sources are mapped, connected and governed before any agent goes live. Lineage, quality and access rules are part of the build — not a follow-up ticket.
Deploy inside real operations
Agents run in the tools and approval chains your teams already use. Exceptions route to people. Consequential actions require sign-off.
Measure, then expand
Each phase has a clear output before the next begins. Scope grows when evidence supports it — not when the pilot budget runs out.
Work with your teams
We design alongside the people who will operate the system. Your domain knowledge shapes the workflow; our engineering makes it production-ready.
Technical capabilities
From fragmented sources to governed agents.
We implement the full stack required for production agentic AI — not isolated model work. Capabilities are composed around your estate and your workflows.
Data acquisition & integration
Connect ERP, CRM, databases, documents, APIs and operational applications without replacing existing systems.
Retrieval-augmented generation
Search and retrieve across structured records and unstructured documents to ground every agent response in evidence.
Agent orchestration
Design multi-step tasks, tool use, hand-offs between agents and escalation when confidence or risk thresholds are reached.
Access control & governance
Enforce role-based permissions, data sovereignty and policy boundaries at the data layer and inside each workflow.
Monitoring & audit
Log prompts, sources, actions and outcomes so operations and compliance can review what happened and why.
Human-in-the-loop control
Require approval for consequential actions, capture exceptions and keep a person accountable for final decisions.
Contact
Discuss a workflow worth improving.
We start with one process — how it works today, which data it needs and whether a focused agent could make it faster or easier to verify.