Agentic AI that moves work forward
A service request should not need five people to move between five systems. Ushyaku designs AI agents that gather context, plan the next step and carry out approved actions across your business applications.
Start with one well-defined workflow. Expand autonomy as the system earns your confidence.

Give your processes a capable next step
Many workflows follow a familiar pattern: review a request, collect missing information, check a policy and update a record. The difficulty lies in the exceptions. Agentic AI can help navigate those variations while working within defined rules and permissions.
We identify where an agent adds value, connect the necessary systems and define what it may do independently. Actions with greater consequences can require approval. Execution records, recovery paths and task-based testing make the system easier to supervise and improve.
What your agents can do
Workflow agents
Handle multi-step processes such as request triage, account research and service coordination, using business context to choose the next permitted action.
Tool and system integration
Connect agents to approved APIs, applications and knowledge sources. Limit each connection to the information and actions the workflow requires.
Multi-agent coordination
Assign specialist tasks to separate agents when that structure improves execution, with explicit handovers, shared context and clear ownership.
Supervision and evaluation
Introduce approval checkpoints, task-level tests, execution tracing and recovery controls so teams can assess performance before expanding access.
Designed for work that has consequences
A process worth improving
We define the current effort, failure points and intended outcome before deciding how much autonomy the process needs.
Bounded access
Agents receive the permissions their tasks require, with explicit limits on sensitive actions and system changes.
Visible execution
Teams can inspect what the agent attempted, which tools it used and where a person intervened.
An achievable first release
A narrow initial scope gives you evidence about quality, cost and usefulness before you commit to a wider rollout.
Practical use cases for Agentic AI
Service operations
Triage a request, gather account context and prepare or execute an approved resolution.
Sales preparation
Research an account, assemble relevant information and draft a briefing for review.
Supplier onboarding
Check submitted information, identify gaps and route exceptions to the right owner.
Frequently Asked Questions
Which workflow would you stop chasing?
Bring us a recurring process with too many handovers. We will help assess whether agentic AI is the right approach and define a practical first deployment.
Explore related expertise
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