Can an agent hand a conversation to a person?
Yes. Handoff criteria, context transfer and ownership are designed into the workflow.
Task-scoped AI assistants and agent workflows with clear permissions, evaluation and handoff paths.
Discuss Your Project
Task-scoped AI assistants and agent workflows with clear permissions, evaluation and handoff paths.
An assistant without task boundaries, reliable context and escalation rules can produce incorrect responses or act beyond its intended role.
We define permitted tasks and tools, design human handoffs, test representative conversations and evaluate behavior before controlled deployment.
Production-grade toolchains selected for stability, security, and developer maintainability.
Clarify requirements, operating constraints, interfaces and measurable acceptance criteria.
Build the highest-risk workflows and subsystems in reviewable, documented increments.
Test software, integrations or hardware behavior against the agreed functional scope.
Deliver documentation, deployment guidance and an agreed path for maintenance or iteration.
Proposals are scoped by requirements, deliverables and technical complexity.
Yes. Handoff criteria, context transfer and ownership are designed into the workflow.
We constrain tasks, ground answers where appropriate and evaluate representative scenarios.
Document-grounded retrieval and LLM integrations for specific business and research information needs.
Connect existing tools and reduce repetitive operational work through testable, maintainable workflows.
Data preparation, useful reporting and carefully evaluated machine-learning prototypes.
Connect with our engineering team to review your requirements, delivery scope, architecture questions and practical next steps.