A Solution bundles the reasoning, integration, and governance work into one scoped deployment, so you don't have to separately plan how multiple services fit together for a single outcome.
Both are built on an LLM reasoning core, but each pairs it with different supporting technology — RAG and a vector database for support, versus RPA and IDP/OCR for back-office automation.
Healthcare, manufacturing, and professional services are the industries currently mapped across our published Solutions, based on the use cases each Solution addresses.
Yes — every Solution rolls out in phases, starting with lower-risk scope before expanding to higher-stakes actions once accuracy is proven.
Do the two Solutions follow the same rollout approach?
There's no fixed order — it depends on where the bigger operational bottleneck currently sits, support ticket volume or back-office processing volume.
The Customer Support Agent targets resolution rate and handle time, while Workflow & Back-Office Automation targets straight-through processing rate and reduced manual review load.
Both hand off to a human with full context when they reach the edge of their authority, though the Support Agent escalates mid-conversation while Workflow Automation escalates at the point a process exception exceeds its reasoning scope.
The Customer Support Agent is scoped to conversational channels, while Workflow & Back-Office Automation spans multiple back-office functions such as accounts payable, procurement, and payroll.
Yes — pilots are typically scoped to one or two high-priority use cases or a single process, which is how each Solution's engagement model is designed to begin.