Introducing Brackett Show & Tell™: The Most Intuitive and Effective Way to Create Agents From a Single Conversation.
Your team walks Brackett through a workflow the way they would show a new colleague, sharing the systems and documents involved. Brackett builds a semantic map of the process, the systems, and the rules that were never written down, then generates an agent that applies them.
Brackett agents work everywhere you do
Your operation runs across an ERP, a telematics platform, an inbox, a document store, and at least one spreadsheet nobody documented. Brackett agents read, write, and reconcile across all of them the way an operator would, carrying context from one system to the next instead of dropping it at the handoff.
High-volume work, handled. Exceptions, escalated.
Agents run reconciliation, documentation, and audit work at operational volume, and route only the cases that need a person. Every action is written to a ledger with the rule that produced it, the decision it reached, and what it escalated, so an auditor can reconstruct any run months later.
- Only exceptions reach a person. Your operators stop clearing routine volume and start seeing the cases that actually need judgment.
- Every action is accounted for. The ledger records the rule applied and the path taken, not just the outcome.
- Agents stay inside their authority. An agent does what it was given permission to do, and escalates the rest.
Deterministic by design
Once Brackett understands a process, it stops reasoning over it. The workflow is codified into logic that fills in only the values that change on each run, so the same invoice produces the same decision every time, and keeps producing it until a person re-teaches the agent.
Control what AI costs to run
Most agents pay a foundation model to reason through the same pattern on every single run, which is why cost climbs with volume and the workflows worth automating become the ones too expensive to automate. Brackett codifies the pattern once. On multimodal extraction, that runs roughly 30 to 40 times more efficiently than frontier models.
Measure every agent, before and after it goes live
Every Brackett agent is scored on how well it learned your process before it reaches production, and monitored afterward so you can see performance as your business evolves. The scoring framework is the same one behind the Agent Effectiveness Index, our open benchmark that anyone can run on any agent, on any model.
One agent's finding is every agent's context.
Most problems in an operation sit between workflows, where no single agent can see them. Brackett agents share what they learn, so a pattern one of them notices becomes something all of them act on.
Own your Intelligence
Everything your workforce learns accumulates in your Brackett Instance: a knowledge graph of your processes, decisions, exceptions, and the reasoning behind them, built entirely from your own operation. It belongs to your company, not to Brackett and not to a model vendor.
Compliant, flexible, and secure by design
Brackett agents run inside your perimeter, on infrastructure you control, with an audit trail behind every decision they make.
How Delivery Car Grew Revenue More Than 50% with their Connected Agentic Workforce
Hear from Brackett CEO Jaideep Sarkar and Delivery Car CEO Florian Lefebvre on how they create, run, and optimize workflows with Brackett's connected agentic workforce. You'll see a live demo of the Brackett platform and hear directly from Florian about how Delivery Car grew revenue more than 50% after deploying Brackett, without opening a single new position.
