01
Workflow discovery and design
Map the work as it happens, including the decisions, hand-offs and data a workflow depends on.
Across industries
Make AI part of how your business works.
AI orchestration joins models, tools, data and the systems a business already uses. Illustrative use cases include routing a request and preparing information for review. These examples describe the kind of workflow the service is for.
01 / Capabilities
Capabilities
Connect models, tools, data and existing business systems into workflows people can review and operate.
02
Tool and API integration
Connect a model to the tools and APIs the business already relies on, so the workflow can use live systems.
03
Agent workflows
Coordinate model and tool steps so a task can move through a defined sequence and return something a person can use.
04
Human review points
Place review with the people accountable for the outcome, wherever judgement or approval belongs in the workflow.
02 / Context
A proposed engagement sequence
Identify the workflow, prototype an integration, validate it with the people using it, then prepare it for operation. This is a proposed way of working for an engagement.
Identify
Find the workflow worth improving and the systems, data and decisions it already involves.
Prototype
Build a focused integration that shows how a model, a tool and an existing system can work together.
Validate
Review the prototype with the people who would use it, and adjust the workflow while the stakes are still small.
Operate
Prepare the workflow for day-to-day use, including the hand-offs and oversight it needs to keep running.
What are you building next?
Let’s talk about your systems, your challenges and where you want to go.