AI Agents
Agents that handle repeatable operational work, use tools and escalate when human judgment is needed.
Tool useReasoningHuman-in-loopAutomation
AI systems
AI systems that actually do the work.
We design production-grade AI agents, retrieval systems and workflow automation that connect to your data, tools and operations — with humans in control where it matters.
Built around real workflows, not isolated demos.
QUBIKO / AI SYSTEM● LIVE
AI
Knowledge layerInternal docs, CRM, databases, APIs
Tool actionsEmail, Slack, workflows, internal systems
Human reviewEscalate exceptions with context, not noise
What we build
AI as a system,
not a feature.
The useful part of AI is not the model itself. It is the product around it: context, permissions, actions, validation and a workflow people can trust.
RAG & Knowledge Systems
Search and answer systems grounded in your internal documents, databases and operational knowledge.
RAGVector searchPermissionsKnowledge
Workflow Automation
AI connected to CRM, email, Slack, internal tools and APIs so decisions can move directly into action.
IntegrationsAPIsTriggersOrchestration
AI Copilots
Focused interfaces that help teams understand context, prepare decisions and complete complex work faster.
Assistive UXDecision supportInternal toolsContext
Use cases
Where AI becomes useful.
We look for recurring decisions, fragmented information and manual handoffs — places where AI can remove work instead of adding another interface.
Lead qualificationEnrich, score and route incoming opportunities with context.
Document processingExtract, validate and move information into operational systems.
Internal searchAsk company knowledge with permissions and source grounding.
Support triageClassify issues, prepare responses and escalate edge cases.
Operations monitoringTurn signals and exceptions into prepared actions.
Reporting & briefsCompile scattered data into decision-ready summaries.
System architecture
From context to action.
A reliable AI workflow needs more than a prompt. We design the complete path from trusted information to controlled execution.
01 · DataTrusted context
Documents, CRM, databases, APIs and real-time operational signals.
02 · ReasoningModel + rules
LLMs combined with business logic, retrieval and deterministic checks.
03 · ActionConnected tools
Create, update, route, notify or prepare the next step inside existing systems.
04 · ReviewHuman control
Escalate uncertainty and exceptions with the context needed to decide quickly.
Reliability
Useful AI needs
guardrails.
For production systems, the interface is only one layer. We design controls around access, validation, observability and human review from the beginning.
Controlled execution
AI should know what it is allowed to do — and when it should stop.
- Permissions and role-aware access
- Structured tool calls and validation
- Approval steps for sensitive actions
Observable decisions
Teams need visibility into what the system saw, decided and changed.
- Source grounding and traceability
- Confidence and exception handling
- Logs, evaluations and feedback loops
AI case studies
Proof, not promises.
Two systems where AI reads tender documents or plans fleet routes, while people keep control of the decisions.
AI automation · Lighting supply
Transportation & logistics
From a PDF lighting schedule to a quote you can defend.
Light Box, an AI quoting assistant for a lighting supplier: it reads luminaire schedules from tender PDFs, proposes matching fittings from a catalogue of 35,000+ products with a reason for each choice and turns the reviewed result into an exportable quote.
Read case studyReal-time fleet tracking and route optimization module.
A real-time IoT tracking module that integrates with any GPS hardware to automate fleet management, saving 15% on fuel and cutting dispatcher workload by half through AI-driven routing.
Read case studyAI discovery
Have a workflow
worth automating?
Show us the process, the data around it and the decisions your team repeats. We can map where AI is useful — and where it is not.