Services

Multi-Agent Workflow

Complex problems, solved by a team of AI agents

When a single AI cannot handle the full workflow, we build a team of specialised agents — each an expert at one part — orchestrated to collaborate, hand off context and deliver results that no single model could.

Specialised agents for each sub-task
Orchestrator manages handoffs and state
Parallel execution for speed
Human-in-the-loop checkpoints
Observable with full trace logging

What this engagement covers

Scoped to your situation — we start with what you already have rather than a fixed package.

Agent design

Each agent is purpose-built for a specific task — research, drafting, validation, routing — with its own tools, prompts and guardrails.

Orchestration layer

A coordinator agent manages task assignment, handoffs, state and error recovery across the team of specialised agents.

Tool integration

Agents call APIs, query databases, read documents and interact with external systems as part of their task execution.

Parallel execution

Independent sub-tasks run simultaneously, with results merged when dependencies allow — cutting total processing time significantly.

Observability

Full trace logging for every agent action, decision and handoff so you can audit, debug and optimise the entire workflow.

Human checkpoints

Configurable approval gates at critical decision points where a human reviews and authorises before the workflow continues.

Our Process

Fixed checkpoints, visible progress and a working demo every two weeks.

01
Find the Itch
We audit your team's repetitive tasks, manual SOPs, and legacy software bottlenecks.
02
Agent Architecture
We configure model harnesses, memory vaults (Honcho), cloud VMs (Orgo), and tool connectors.
03
7-Day Sprint Deploy
We test edge cases, configure human approval checkpoints, and launch in 7 business days.
04
24/7 Operations & Scale
Continuous monitoring, error recovery, security hardening, and ongoing model upgrades.

What you get

Multi-agent system designed for your specific workflow
Orchestration logic with state management and error handling
Observability dashboard with trace visualisation
Documentation and runbook for operations and iteration

Tools we reach for

Chosen per project, not per habit. If your team already runs something that works, we build on it.

Claude
LangGraph
CrewAI
Python
PostgreSQL
Redis
Docker
AWS

FAQ

Multi-Agent Workflow — common questions

Single agents work for focused tasks. Multi-agent is for workflows that require different skills — research, analysis, drafting, validation — where one agent's output feeds another's input.