Assisted operational workflows
Gather evidence across systems and propose a next step, while keeping write operations behind explicit permissions and approvals.
What you getScoped tools, review checkpoints and an action history.
LangGraph workflows development
AI workflows that can pause, recover and be reviewed.
LangGraph engineering for tasks that span several decisions, tools or people. Make state explicit, put approval at meaningful boundaries, and retain a trace of how a result was reached.
In the toolkit
- LangGraph
- Typed state
- Checkpoint storage
- Scoped tool APIs
Choose with context
The right tool starts
with the right problem.
Where LangGraph workflows fits
Useful when a task needs branching, durable state, human intervention or recovery across several steps rather than a single model response.
Worth considering
A graph adds operational complexity. If a simple function or fixed pipeline solves the task, use that first. Checkpointing alone does not make external actions safe to repeat.
What we can build
Make longer tasks inspectable, not mysterious.
Reviewable workflowIllustrative workflow
An action that waits for its owner
Investigate a supplier discrepancy
- 1Gather
Read order and invoice records
- 2Propose
Prepare a correction
- 3Approval
Wait before changing a record
Paused for operations approval
Document review pipelines
Coordinate extraction, validation and exception review across multiple stages, with a defined owner for ambiguous cases.
What you getStructured state, resumable review and clear completion criteria.
Agent reliability improvements
Replace opaque loops with bounded execution, traceable steps and tests for the failures observed in real use.
What you getRun limits, checkpoint strategy and replayable evaluation cases.
An example architecture
A checkpoint is a place to make a decision.
Design tool calls to tolerate retries, protect external side effects, and track who approved an action. Stop conditions and recovery paths are part of the workflow.
- 01
Load task state
- 02
Run a bounded step
- 03
Pause for review
- 04
Resume & verify
Adapted to your systems, data and operating requirements during discovery.
From first scope to handover
Agree on what “ready” means.
We define the first useful release and its acceptance criteria together. Working software, deployment instructions and the decisions behind it stay with your team.
- Runs stop at the agreed step or budget limit
- Resuming does not repeat an external write
- Approval and rejection both have tested paths
Does LangGraph require a specific model?
No. The surrounding application can integrate different model providers. Model choice and orchestration choice should be evaluated separately.
What happens if a run fails?
The design should distinguish a retryable step from an unsafe repeat. Checkpoint storage supports resuming state, while application-level idempotency and reconciliation protect external actions.
Let’s work out what
your product needs next.
A new build, an existing codebase or one stubborn problem. Bring the context you have.
A little closer, wherever you are
Big world.
Close partnership.
Product engineering, AI and Odoo ERP, with a shared plan and a working rhythm built around your team.
Offices in India, Spain & France.
Different time zones. One shared conversation.
Explore our global presence