Multi-Agent Orchestration
AI agents that work as a team
Complex systems with specialized AI agents that collaborate to automate processes and intelligent decision-making.
- orchestratorsplits the request into 4 tasks
- researchprospect data gathered from the CRM
- planningfollow-up sequence ready
- executiondrafting the personalised email…
01Capabilities
Complex processes, automated under control
Each agent has a precise job; an orchestrator coordinates them and a person steps in when needed.
Agent collaboration
Coordination between specialised AI agents towards a common goal.
Advanced automation
Automation of complex processes and decisions based on distributed intelligence.
Continuous monitoring
Real-time monitoring and optimisation of the agents’ work.
Dynamic scalability
The number of agents adapts automatically to operational needs.
02How it works
From request to result, in four steps
Specialised agents collaborate as a team to solve complex problems.
Task decomposition
An orchestrator agent analyses the request and breaks it down into specific sub-tasks.
Agent selection
Specialised agents are activated based on the skills each task requires.
Parallel execution
Agents work in parallel, communicate with each other and share intermediate results.
Result synthesis
Results are aggregated, validated and returned as a coherent, complete output.
03Agent types
One agent for every skill
We build specialised agents for your business needs.
Research Agent
Gathers information from databases, APIs and the web, analyses data and prepares detailed reports.
Web search · Data analysis · Reports
Execution Agent
Performs concrete actions: sends emails, updates databases, interacts with external systems.
API · Automation · System control
Validation Agent
Checks output quality, catches errors and verifies compliance with standards.
Quality check · Errors · Compliance
Communication Agent
Handles user interaction, formulates responses and keeps the conversational context.
NLP · Context · Responses
Planning Agent
Creates action plans, manages priorities and optimises resource allocation.
Planning · Resources · Scheduling
Orchestrator Agent
Coordinates all other agents, manages the workflow and resolves conflicts.
Coordination · Conflicts · Flow control
04Use cases
Where distributed intelligence pays off
Complex processes that need coordination across several skills.
Sales automation
Lead qualification, prospect research, personalised outreach, meeting scheduling and automatic follow-ups.
Content factory
Topic research, article writing, SEO optimisation, social posts and publication scheduling.
Advanced customer service
Request triage, solution research, escalation, follow-up and sentiment analysis.
Automated due diligence
Corporate document analysis, compliance checks, news and report research, executive summary.
Software development
Automated code review, test generation, documentation, refactoring and security audits.
Data pipeline
Multi-source data extraction, cleaning, transformation, validation and data warehouse loading.
05What you get
Automation that fits your workflows
Agents connected to the systems you already use, with clear rules on what they can do on their own.
Included features
- Coordination between specialized AI agents
- Automation of complex business processes
- Collaborative decision making
- Continuous monitoring and optimization
- Automatic resource scaling
- Integration with existing workflows
Benefits
- Less repetitive work for your team
- Fewer manual errors, thanks to automatic validation
- Faster processes
- Continuous performance optimisation
06Architecture
An architecture ready for production
Robust and scalable, with tracing of every step and of costs.
- Agent frameworks
- AutoGen, CrewAI, LangGraph, custom agents
- Communication
- Message queue, event bus, shared memory, API gateway
- Orchestration
- Workflow engine, state machine, DAG executor, priority queue
- Monitoring
- Agent tracing, performance metrics, error handling, cost tracking
07FAQ
Frequently asked questions
Have a specific case? Tell us about it.
Talk to an expert08More solutions
They work together
A chatbot can sit on top of a RAG system, which in turn reads your document archive. We design the pieces to work together.
AI Chatbots & Support
Intelligent customer support systems with advanced NLP, multi-channel integration and continuous learning.
Smart File Management
AI for automatic organization, semantic search and intelligent processing of business documents.
Advanced RAG Systems
Retrieval-Augmented Generation for always-up-to-date business knowledge with semantic search and contextual generation.
Next step
Automate your most complex processes
See how a multi-agent system can orchestrate your processes, reduce errors and speed up decisions.
