450+messages handled semi-autonomously each month, saving more than 30 hours

Message volume from the system's logs, averaged over recent months. The time saving is estimated from handling time per message.

Messaging concierge with human approval

Assessment results inform reply drafts, with human approval before messages reach the sales system.

From assessment to an approved reply

From assessment to an approved replyAssessment results and incoming messages provide the conversation context. The public receiver supplies messages to a model that drafts a reply. A human approval queue is the default gate before a draft enters the approved outbox. The private sales system polls that outbox for onward handling in the call pipeline. The model drafts; the review queue controls entry to the outbox.
From assessment to an approved replyAssessment results and incoming messages provide the conversation context. The public receiver supplies messages to a model that drafts a reply. A human approval queue is the default gate before a draft enters the approved outbox. The private sales system polls that outbox for onward handling in the call pipeline. The model drafts; the review queue controls entry to the outbox.
Key
The system in words

Assessment results and incoming messages provide the conversation context. The public receiver supplies messages to a model that drafts a reply. A human approval queue is the default gate before a draft enters the approved outbox. The private sales system polls that outbox for onward handling in the call pipeline. The model drafts; the review queue controls entry to the outbox.

Mandate

Carry assessment interest into a booked conversation.

The advisory firm wanted assessment sign-ups to reach booked discovery calls without manual chasing. Assessment results and incoming replies supplied the context for each conversation. The system needed to carry that context into follow-up while preserving human judgement over what was sent.

System

An approved outbox connects the conversation to sales.

Seichō built a reply loop that uses the assessment result to draft a response. Incoming messages reach a separate public service. Drafts pass through a review queue before entering an outbox. The private sales system polls that outbox for approved replies and carries the conversation into its call pipeline.

Controls

Human approval is the default before a reply leaves.

The model drafts the reply within a defined conversation. The approval queue separates its proposal from onward handling. The public message receiver and private sales system have distinct roles, connected through the approved outbox. This is a semi-autonomous workflow with a human review point.

How the result is measured.

Message volume describes the operating load the concierge supports, with human approval retained on every reply.

Message volume from the system's logs, averaged over recent months. The time saving is estimated from handling time per message.

Related practice
Professional services systems. Technology and AI governance.
Standards
The firm’s software standards set out the approach to security, migration and reviewed change.

Human judgement sets the boundary for automated replies.

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