Defined responsibility
Each agent has a bounded role, the tools it can use and a clear condition for handing work on.
Capability / 04
Coordinate the work between systems.
Agent workflows break complex operational tasks into clear, observable steps—combining model reasoning with reliable integrations and review points.
Built for the real work
Designed around how your team makes decisions.
An agent workflow is not a single model making every decision. It is a sequence of bounded responsibilities: gather the right information, make a defined assessment, use the appropriate tool and surface an exception when confidence is low.
That structure is what makes multi-step automation observable and safe to operate. Teams can see what happened, change a rule and retain control over the decisions that matter most.
Connected execution
Information moves between the systems your team already relies on without manual copying and checking.
Human control
Approvals, exceptions and high-risk decisions stay visible and are routed to the right person.
How we approach it
Model the operating process
We identify the inputs, decisions, tools and approval points that turn a manual process into a clear workflow.
Define each agent role
Every agent receives a limited remit, reliable tools and explicit handover conditions instead of an open-ended instruction.
Operate with visibility
Logs, evaluations and review queues show how the workflow behaves in practice and where it should be refined.
Technology approach
The tools are selected for the work, not the other way around.
Orchestration
- LangGraph
- Model Context Protocol (MCP)
- Tool calling
- Stateful workflow design
Models & data
- OpenAI
- Anthropic
- Google Gemini
- Databricks
- Snowflake
Operations
- Audit logs
- Evaluation
- Monitoring
- Role-based approvals
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