Case studies

Three responsibilities we redesign most often.

Each one starts as a baseline and ends as a measured before-and-after. Slide through them, or hold the pointer over the deck to stop and read.

Meeting to follow-through

Walk in prepared. Leave with commitments that close.

Before the meeting the system retrieves last decisions, unresolved commitments, relevant metrics, stakeholder positions and likely questions. Afterwards it extracts decisions, owners, risks and follow-ups, prepares approved updates, and monitors whether commitments actually close.

Measured on: preparation time, dropped commitments

Research to decision

An evidence workflow, not one search and a fluent summary.

The question is decomposed, source classes are searched in parallel, contradictions are reconciled, claims stay attached to their source, and coverage is checked. The system must be able to report insufficient evidence instead of completing the narrative by invention.

Measured on: cycle time, evidence coverage, rework

Management reporting

Stop spending the week collecting status.

Status aggregation, task dispatch and routine proofreading move to the system; you keep outcome framing, exception judgment and stakeholder alignment. Scheduled and event-driven runs hold durable state, so nothing depends on one open chat session.

Measured on: hours returned, adoption, exceptions

Risk-adjusted autonomy

Autonomy falls as consequence rises.

Every action in a redesigned workflow is placed in one of four tiers. Confidentiality, recipients, approvals and destructive actions are enforced outside the model, through identity, application settings and tool permissions.

Tier 1Low: autonomous execution with logging and sampling audit.
Tier 2Moderate: human-on-loop monitoring and exception review.
Tier 3High: hard approval before consequential tool execution.
Tier 4Critical: AI advises; authorised humans execute, dual control where required.