A defined role
Give the assistant a clear job description, success measures and boundaries.
We build assistants around a specific responsibility, your business knowledge and the workflows that make that role valuable.
A custom AI assistant needs context, access, boundaries and a way to handle uncertainty. We turn a real business role into a practical operating system for repeatable work, with your team in control of consequential decisions.
We focus on useful responsibilities, measurable outcomes and the safeguards that make adoption sustainable.
Give the assistant a clear job description, success measures and boundaries.
Connect the policies, examples, records and knowledge needed for informed work.
Use permissions, approvals and escalation rules to make adoption practical.
We start narrowly, test against real work and expand responsibility when the results support it.
Identify responsibilities, inputs, outputs and the decisions that stay with people.
Managed implementationConfigure its knowledge, tools, instructions and first workflows.
Managed implementationReview performance and expand its role as reliability is demonstrated.
Managed implementationGood automation begins with a shared view of the role, process and controls.
Its role, knowledge, connected tools, permissions and workflows are designed around a particular business rather than a generic use case.
Yes, within the access and approval boundaries agreed during implementation. Sensitive actions can always require human confirmation.
A focused first workflow can be scoped quickly; the timeline depends on the role, systems, data quality and required safeguards.
Tell us where work is repetitive, delayed or difficult to keep consistent. We will help identify a practical first step.