Internal inefficiencies
solved with AI
Sotant builds custom AI Employees that reduce revenue
leakage and internal inefficiencies across complex
workflows. All without IT involvement.
Step 1: Audit the leakage
We identify the workflows where missed follow-up, delayed
decisions, and operational gaps are costing your business
money.
Step 2: Define the AI Employee
Sotant defines the first AI Employee, the workflow it will handle,
and the business outcomes it will improve.
Step 3: Start with simple onboarding
Getting started begins through email, Slack, Teams, shared files,
and selected system access. No technical rollout required.
Step 4: Improve over time
Your AI Employee improves through feedback, corrections, and new examples as Sotant continues refining performance.
Built on deterministic action
models, not just LLMs
Sotant combines LLM reasoning with proprietary action models
trained on your workflows, internal data, and operator behavior --
making AI Employees more controllable, more reliable, and better suited for real operational work.
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AI Employees learn form your internal
documents, emails, files, messages, and workflow context instead of operating
like generic assistants.
Sotant uses imitation learning so AI
Employees can learn how your top people review, decide, and handle exceptions.
Unlike standard LLMs, Sotant uses deterministic action models designed to reduce hallucinations and make decisions more reliable.
Performance improves over time
through feedback, corrections, and new examples from your real internal workflows.