The challenge
Where teams get stuck
The problems we're most often brought in to solve.
- 01
One agent carrying too much scope
A single agent with dozens of tools becomes slow, costly and unreliable as its instructions expand.
- 02
Opaque agent-to-agent interactions
When several agents exchange work, failures are difficult to trace without purpose-built observability.
- 03
Escalating cost and latency
Uncontrolled loops between agents multiply model calls, inflating cost and response times.
Overview
Multi-Agent Orchestration at VulcanTech
A multi-agent system is an architecture in which several specialised AI agents, each with a defined role, work together under an orchestrator to complete complex workflows. VulcanTech designs systems in which agents handle research, drafting, verification and execution, coordinated with explicit state. We recommend this pattern only where it measurably outperforms a simpler single-agent or workflow design, because every additional agent adds cost and operational complexity.
Key deliverables
- Architecture and agent role design
- Orchestrated multi-agent workflow
- Cost and step budget controls
- Tracing and monitoring configuration
- Evaluation scenarios and results report
What you get
What Multi-Agent Orchestration includes
Role-based agent design
Each agent has a narrow role, dedicated tools and instructions, and a defined handoff contract.
Stateful orchestration
A supervisor or graph-based workflow tracks progress, so tasks can pause, resume and recover from errors.
Independent verification agents
Dedicated agents check outputs against rules and sources before results advance to the next stage.
Budget and loop controls
Limits on steps, tokens and time per task prevent runaway loops and keep cost predictable.
End-to-end tracing
Traces capture every handoff, tool call and model response across agents for diagnosis and audit.
Durable execution
Long-running tasks survive restarts and timeouts through durable workflow engines and persisted state.
More in Agentic AI Platforms
Related services
Our process
How we deliver
A delivery process you can see into — from first workshop to production support.
- 01
Discovery
A focused working session on your objectives, constraints and existing systems. It concludes with a scoped proposal and a clear view of value, risk and effort.
- 02
Architecture & planning
We agree the target architecture, data model and integration approach before product code is written, and secure your sign-off.
- 03
Iterative delivery
Working software reaches a staging environment on a regular cadence, giving stakeholders continuous visibility and the ability to steer priorities.
- 04
Assurance & hardening
Automated testing, accessibility and performance budgets, and a security review are completed before anything reaches production.
- 05
Launch & continuity
We manage cutover and remain engaged through an agreed support period, with a structured handover to your teams or ongoing operation by ours.
Engagement models
Work with us the way that suits you
Outcome-based delivery
A defined scope, timeline and commercial model agreed after discovery. We own delivery risk against the agreed outcomes.
Best for: Well-defined initiatives, MVPs and first releases
Dedicated product teams
A cross-functional pod — engineering, design, QA and delivery leadership — aligned to your roadmap and scaled as priorities change.
Best for: Long-term product development and evolving roadmaps
Team extension
Senior engineers embed in your organisation, work inside your processes and report to your leaders — on contracts that assign all IP to you.
Best for: Adding specialist capability without growing headcount
Tools & technologies
The stack we build with
- LangGraph
- OpenAI Agents SDK
- Claude API
- Temporal
- Python
- Redis
- Langfuse
Why VulcanTech
A partner, not a vendor
Senior engineering, honest delivery, and work we can name.
Senior engineers own delivery
The engineers who scope your programme in discovery are the engineers who deliver it. There is no hand-off to a junior bench after contract signature.
Engagement models that fit
Outcome-based delivery, dedicated product teams, team extension or global capability centres, matched to how your organisation prefers to work.
A verifiable track record
Every customer story we publish describes real production work, naming the client wherever confidentiality allows, including public-sector platforms secured through competitive tenders.
80+ projects in 16 countries
Delivered since 2021 across the public sector, real estate, healthcare, manufacturing and consumer technology, for regulated and high-growth organisations alike.
FAQ
Frequently asked questions
Can't find what you need? Ask us in the discovery session.
Free discovery session
Start your Multi-Agent Orchestration project
Tell us what you're building. You'll hear back from an engineer, not an inbox.
- 1We reply within one business day to set up a 30-minute call.
- 2A senior engineer — not a salesperson — walks through your problem.
- 3You get a scoped proposal with timeline and cost. No obligation.
New projects & sales
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