AuremereAI agent consulting & implementation
Useful agents.
Accountable systems.
We design, build and operate AI agents for defined business workflows — with clear permissions, measurable acceptance criteria and a human route when the system should stop.
Auremere is operated by Auremere Holdings, Inc (United States).
Consulting, implementation and operational handover.
What we build
The workflow is the starting point.
Start with a task that has a recognisable input, a useful output and an accountable owner. We map the decisions an agent may make, the systems it may access and the actions that remain with people.
A system around the model
Retrieval, tool permissions, validation and monitoring are part of the design. A fluent answer is not evidence that the underlying task succeeded.
Delivery, with decision points
Evidence before the next commitment.
Assess → Design → Build → Operate. Each stage has an output to review, a named client decision-maker and a choice to continue, narrow the scope or stop.
What you should be able to inspect
- A workflow map and a recommendation, including non-agent options.
- An architecture, evaluation rubric and permissions model.
- A tested implementation with known limitations.
- Runbooks, release records and a handover plan.
Production readiness
A demo is a beginning, not an acceptance test.
Quality, cost and failure handling
We test completed tasks, unsupported claims, unsafe actions and human review load. We also measure latency, retry behaviour and cost per completed task against a baseline.
Work inside an agreed boundary
Client systems and third-party models have different permission and data-handling boundaries. We document those crossings before integration and keep changes reviewable.
Start with one workflow.
Describe the task, the constraint and what a useful result would look like.