Models
Select and configure models for the task, hardware, latency target, and document profile.
Every Sotaire deployment is shaped to one organization: its models, sources, workflows, access rules, review gates, and operating environment.
The work and the boundary determine the configuration. Hardware and models follow from those decisions.
Select and configure models for the task, hardware, latency target, and document profile.
Shape agents and tools around the actual steps, exceptions, and human review points in the work.
Connect approved repositories and metadata so answers reflect the organization’s own source material.
Configure identity, retention, audit evidence, and network paths to the customer environment.
Each phase produces something concrete for the next decision, so scope stays visible and controls are tested before rollout.
Map users, source systems, sensitive data, current work, review roles, and the outcome that makes a first deployment worthwhile.
Define infrastructure, identity, data residency, approved connectivity, retention, and the controls the deployment must satisfy.
Configure the environment, connect the first sources, and implement one high-value workflow before expanding scope.
Test answer quality, citations, access boundaries, review gates, recovery, and operational evidence with real users.
Train operators, deliver runbooks, observe real usage, and tune the system as more teams and workflows are added.
A useful workflow is specific about what it reads, what it produces, and who remains accountable.
Short answers for teams comparing a generic AI tool with a deployment built around their environment.
A scoping session covers the workflow, source data, users, review gates, security requirements, and the evidence needed for handover.
Bring the workflow, the sensitive sources, and the review rules. We'll map the deployment boundary and next step.