A prompt loop is a demo. LangGraph gives an agent explicit state, durable checkpoints, and approval gates a human can stand behind — which is the difference between something you show a board and something you let touch production.
Six capability areas covering the whole life of an agent — from the first state diagram to the evaluation suite that tells you when a model change broke it.
The design step most teams skip. Nodes, edges, conditional routing and an explicit state schema, so the agent has a shape you can reason about and review.
Persistent checkpointers so a run survives a crash, a deploy, or a two-hour wait for a human. Threads that can be replayed, forked, and audited after the fact.
Interrupts placed where the business actually needs a decision — value thresholds, irreversible actions, low-confidence extraction — with approval routed to Slack, monday.com or your own tooling.
Supervisor and swarm patterns, subgraphs with their own state, and handoff rules — used when one agent with thirty tools has stopped being reliable.
Every run traced, datasets built from real traffic, and regression evaluations that run before a prompt or model change ships — not after someone complains.
Deployment on LangGraph Platform or self-hosted on your own cloud, with streaming, authentication, rate limiting, cost controls and the integration surface around the graph.
We start by drawing the graph on a whiteboard with the people who own the process. If it cannot be drawn, it is not ready to be automated.
Process mapping with the business owners. Decision points, exceptions, and where a human must stay in the loop.
Graph implementation, tool integrations, state schema, checkpointing and interrupt gates.
Eval datasets from real cases, accuracy and cost measurement, adversarial and edge-case testing.
Production deployment, tracing, cost monitoring, and a regression suite that gates every change.
Model region, data residency and approval governance aligned to the jurisdiction the process runs in.
Sydney HQ serving Australia, New Zealand, Singapore, and India. LangGraph delivery under APRA CPS 234 and Australian Privacy Principles-aligned governance.
UK delivery for FCA-regulated firms, NHS Trusts, and FTSE 100. LangGraph work carries UK GDPR and EU AI Act governance overlays.
US delivery for Fortune 1000 with HIPAA, SOC 2, and state-specific (CCPA, CPRA) governance overlays applied to LangGraph deployments.
Josh Jebathilak, Managing Director, leads agent engagements personally. Six years at monday.com before founding Fruition, and 500+ implementations across the major AI and work platforms since.
We run LangGraph agents inside our own operations, including content and reporting pipelines with human approval gates. The design opinions on this page came out of running them, not reading about them.
Next step
Book a 30-minute scoping call. We'll map the process, mark the decision points, and tell you whether an agent is the right answer.