AI agents
Purpose-built agents that work with your data, use approved tools, and carry out defined tasks with clear permissions and escalation paths.
AI agents & agentic platforms
We design AI agents, orchestrate complex workflows, and build the platforms that put them to work across your business.
From healthcare and medtech to supply chains and enterprise operations, BrainRivet connects AI to the decisions, systems, and people that matter.
Illustrative architecture. Permissions and review gates are defined for each workflow.
AI is part of our daily engineering practice: exploring designs, assisting implementation, examining failures, and developing evaluations. That hands-on practice informs the agents and platforms we build for your operations.
Purpose-built agents that work with your data, use approved tools, and carry out defined tasks with clear permissions and escalation paths.
Coordinate agents, people, and business systems across long-running work, with checkpoints, retries, and an accountable owner for every exception.
Make approved knowledge usable through retrieval, document extraction, grounded answers, and traceable sources.
A platform needs more than a model response. It needs business context, dependable tools, workflow state, and a clear boundary between agent action and human judgement.
Connect agents to approved knowledge, current records, and the rules that shape your work.
Give agents scoped access to the systems they need, with validation, approval gates, and recovery paths.
Keep model versions, decisions, costs, and failures visible to the people responsible for the service.
The underlying patterns travel across industries. The vocabulary, evidence, permissions, and consequences of a decision need to be designed for yours.
Care coordination, consultation preparation, and reviewable clinical knowledge workflows.
Document-led operations, exception management, and coordination across partners and systems.
Connected device information, service operations, and controlled technical knowledge.
Bring a domain-specific challenge. We will assess the workflow, data, and agent boundaries with you.
How we work
We identify where AI can contribute, establish the evidence needed to trust it, and build the operating platform around that responsibility.
Explore our delivery approachA defined task with known inputs, permitted tools, an observable result, and an escalation route when evidence is incomplete.
At decisions with material consequences, approval boundaries, policy exceptions, and any point where the workflow requires accountable judgement.
Through reviewed feedback and measured evaluations. Changes to prompts, models, knowledge, and tools are tested before release.
Bring us a workflow, a platform idea, or an operational challenge.