Typical operating constraints
- Department optimisation replaces flow optimisation
- Process documents diverge from real work
- Automation scales existing waste
YaoVector / Solution
Redefine end-to-end workflows, decision rights, roles and operating mechanisms around business outcomes.
01 / Constraint
02 / Outcomes
Designed for growth-stage businesses with a clear outcome, accountable owner and a workflow available for validation.
03 / Review before commitment
These are method and deliverable descriptions, not unverified customer outcome claims. No sensitive data is needed for the first conversation.
Separate verified facts from hypotheses, and clarify problems, owners and priorities.
Baselines, formulas, sources, windows and evidence status are recorded.
Continue, adjust or stop thresholds prevent an open-ended pilot.
04 / Architecture
Establish shared facts and explicit accountability.
Connect critical work into an observable operating flow.
Improve operations through measures, exceptions and review.
05 / Modules
Identify waits, rework, bottlenecks and control gaps through customer outcomes and end-to-end time.
Define decision rights, roles, service levels, controls and people-agent-system responsibilities.
Embed the target flow in tasks, reviews, measures, exception handling and continuous improvement.
06 / Six-loop delivery
Each loop has explicit outputs, owners and criteria for moving forward.
Confirm the intended outcome, users, current flow and highest-value constraint.
Define measures, sources, current state and what remains unverified.
Specify architecture, workflow, accountability, controls and validation plan.
Test usability, risk and real adoption inside a controlled business boundary.
Complete integrations, role enablement, exception handling and operating handover.
Review outcomes, flow efficiency and quality before expanding or adjusting.
07 / Measurement
These are dimensions to baseline, not unverified promises of uplift.
Measure the intended operating outcome against an agreed baseline without presupposing uplift.
Measure end-to-end time, waits, rework, response and exception recovery.
Measure real use, first-pass acceptance, review burden, provenance and reliability.
08 / Evidence
No unauthorised client case or outcome figure is published here. Evidence is shown only after disclosure, baseline, period, definition and source review.
Before committing
Use existing records to validate the problem, then agree participants and pilot scope. This is diagnostic guidance, not an outcome promise.
Compare won, lost and stalled opportunities. Look for customer evidence at each stage, not only the stage label entered by a rep.
Explore the full diagnostic and validation path ↗The sales lead owns stage criteria, experienced reps contribute examples, and frontline managers coach the practice.
Share only non-sensitive context at first contact. Detailed records require authorisation and redaction.
Without customer evidence or permission to use real examples, do not jump straight to a generic AI script library.
Expand when different reps can reach similar judgements from the same evidence and explain exceptions.
09 / Engagement
Designed for growth-stage businesses with a clear outcome, accountable owner and a workflow available for validation.