Operations
Customer Support
Triage tickets, examine full conversation history, identify response patterns, and draft replies for review.
Bruce at work: Customer Support
The queue
Support
Hathaway is going to call.
They will. Third time. Last scan is Cleveland. Draft uses that. Don’t send the template — they didn’t read it in May.
4422 sits. They were promised a credit. I don’t have the write from finance.
4419 draft · 4422 hold
Send 4419. Hold 4422. Same draft shape for 4411.
4419 is out. 4411 is the same motion — last scan, not a hunt. 4422 stays until finance writes.
4419 sent · 4411 queued · 4422 waiting
Industries
In your industry
The morning above is one company. This desk also runs in these industries.
Out of the box
What Bruce brings
The difference is what Bruce brings out of the box: a context graph, an execution graph, a feedback and eval layer, built-in enterprise execution, and a control plane.
01
Context graph
The picture of the enterprise stays current — structured and unstructured. Context is added, updated, and dropped when it goes stale. It is not a database we sell. It is the thing that dies in a thread.
02
Execution graph
Intent, then the tools, then a check, then recover, then done. Learned on real workflows. A miss does not kill the run.
03
Feedback and evals
Production traces, human corrections, failures, edge cases. Execution gets sharper from that. We score completion on ESE-1.
04
Built-in enterprise execution
The agents are already built. Role and workflow patterns from real businesses — sales, purchasing, finance, operations. Bruce already knows how that work runs.
05
Control plane
Permissions, approvals, what you can see, the log, and policy. Required if it acts on its own.
Bruce executes the business across the systems you already run. Connect the systems you run. In most cases it is working in under an hour.
Compare
Also
Claude Cowork · ChatGPT Enterprise · OpenAI Frontier · Salesforce Agentforce · Microsoft Copilot Studio · 11x · Artisan · AiSDR · Regie