AI orchestration and a multi-agent process for a team in Moscow
We design AI orchestration where roles, checks, action order and hand-offs need to stay controlled.
Delivery focus: Align roles, data and ownership across several participants.
What we discuss first
process steps, roles, inputs, checks, prohibitions, escalation and logging.
What we accept in the result
role design, transitions, control points, error handling and test scenarios.
Boundaries and dependencies
multi-agent design is not added without a benefit; model and cloud costs are separate.
AI workflow coordination in Moscow
For an AI workflow, we confirm approved data, result review and human hand-off; city coordination helps agree the process owner in Moscow. Remote sessions follow Moscow time, UTC+3. Delivery is remote; OTON does not claim an office, employees or local representation in this city.
Brief prompt
Who decides, provides data and approves the result?
Hand-off check
Confirm roles, access, data flows and acceptance criteria.
Offer geography
Before work starts, we confirm whether the offer is intended for Moscow, Russia or several markets. This affects language, form fields, required information, analytics and campaign settings; no unsupported local promises are added.
Local delivery context
Before an AI workflow is built, permitted and prohibited data, access, logging and human review are agreed; this does not replace the customer's legal assessment. Официальный интернет-портал правовой информации.
City context
The official portal reports a chatbot and digital avatar used in the city procurement system for user guidance and training. AI discovery separates guidance from critical decisions and identifies approved sources and the owner of answer review. Acceptance includes benchmark questions, source references, refusal on insufficient evidence and human hand-off. Official Moscow procurement portal.
Question before the brief
Is a set of agents always needed? No, a simple task is better served by one transparent workflow. Can approval be split across teams? Yes, with an owner defined for every decision.