Defined responsibility
Start with a specific operational job, expected result, and source of truth.
PRAYA · GOVERNED AI EMPLOYEES
Operational work, completed within rules your business controls.
PRAYA is a governed platform for building AI Employees that do more than hold conversations. They complete defined work, remember each task, record what happened, and ask a person to review decisions beyond their authority.
INTAKEOrder issue receivedCustomer and order matched
IN PROGRESSPolicy checkedStandard remedy is allowed
HUMAN REVIEWException exceeds limitHistory attached for a person
FROM REQUEST TO RECORDED OUTCOME
An AI Employee needs a job, not a vague instruction.
PRAYA gives each role an operating boundary and a traceable path through the work.
Business rules
Control what the role may read, change, send, approve, or spend.
Task state
Keep the current step, required information, blockers, and next action together.
Action history
Record what the system did, which source it used, and why the task moved.
Human review
Escalate exceptions, high-impact actions, and missing authority with context attached.
Operational improvement
Review recurring blockers and update the workflow without losing accountability.
PRACTICAL STARTING ROLES
Build around work your team already recognizes.
Structured intake
Collect required details, validate them, open a task, and route unusual cases.
Order coordination
Check status, prepare an update, and escalate changes outside the approved policy.
Lead follow-up
Maintain the next step, send approved follow-up, and ask for a person when the conversation changes.
Operations review
Gather source-linked signals, prepare a review queue, and preserve decisions.
COMMON QUESTIONS
What operators usually ask.
Is PRAYA a chatbot?
No. Conversation can be part of a role, but PRAYA is designed around completing and recording operational work.
Can it use our existing systems?
Potentially. Access depends on the system, available interfaces, credentials, and approved scope. Hyperlane confirms each connection before implementation.
Who decides what requires human review?
The business and Hyperlane define the authority boundary together. High-impact, unusual, or unclear decisions should default to a person.
Does PRAYA remove accountability?
No. The platform is designed to keep rules, task state, history, and review visible so accountability remains with the business.
START A CONVERSATION
Choose one role with a clear boundary.
We’ll map the inputs, allowed actions, authority limits, and human review path before building the AI Employee.