Working Paper · v0.3 Signal-Response Distance
Your transformation has been almost there for eighteen months. Your capability map says you're fine.
There's a gap between the two that capability maps can't see. Signal-Response Distance is the diagnostic for that gap.
Capability maps show what an organisation can do. SRD shows where the time goes.
When a strategic signal arrives, the response moves through six places before it actually lands. Each has its own delay. The total response distance is the sum.
If the response distance exceeds the available window, the response misses. No matter how strong the capability map. No matter how sequenced the roadmap. The transformation arrives confident, fluent, and too late.
The binding constraint on transformation is usually not in the capability map. It's in the distance between the signal and the response.
Six places. Six delays.
The capability stack the response travels through. The binding constraint is rarely the place leadership assumes.
Sensing
Recognising the signal arrived.
Acquisition
Taking in the information that changes the picture.
Assimilation
Turning information into something actionable.
Seizing
Committing resource and authority.
Reconfiguring
Changing structure and process to respond.
Reflexive
Learning whether the response worked.
Executives usually assume the bottleneck is seizing — that decisions take too long. More often it's assimilation: the organisation acquired the signal but never converted it into a form anyone could act on. Or reflexive: the same signal keeps arriving because the last response never closed the loop.
If assimilation is the choke point, more capability is wasted budget. The fix sits in the assimilation layer.
Quadrant placement tells you what intervention will work.
The diagnostic classifies each signal by response distance and complexity. AI may compress the response time on some quadrants; on others, it can't.
Signal complexity →
Q1
Well-Instrumented
Signals are clear, response pathways are fast, automation can safely reinforce execution.
Q2
Augmented Frontier
Complexity is high, but response distance is short enough for human-AI teaming and expert judgement.
Q3
Instrumentation Gap
The signal is simple, but the organisation is still slow. The delay is mainly structural.
Q4
Slow-Complex Zone
Both interpretation and response are difficult. The intervention focuses on sequencing, authority, and absorption capacity.
Full quadrant definitions, intervention prescriptions, and placement protocol in the working paper.
AI doesn't widen the response window. It narrows it.
When everyone's running the same models on the same data with shorter build cycles, markets respond faster, competitors deploy faster, and customers shift faster. The window for a strategic response just contracted.
Dell'Acqua and colleagues at HBS published the jagged-frontier finding in Organization Science. Inside the frontier, AI augments knowledge work. Outside it, AI delivers confident wrong answers people believe. The frontier is jagged, not smooth, and you can't see it from inside.
Your response distance was sized for the old window. The window has narrowed. The distance hasn't.
Not a new framework alongside your existing artefacts. A diagnostic layer underneath them.
Capability stack diagnostic. Where the binding constraint actually sits. The choke point in your own organisation, named and measured.
Re-sequencing recommendations. What to do differently, sequenced. Not a parallel programme. Adjustments to the one you already have.
Anti-overreliance triad. Frontier-position awareness, disconfirming-signal authoring, anti-confirmation review. Discipline for AI-era decisions.
Post-engagement follow-up. 6 and 12-month consequentiality review. What changed, what didn't, what the diagnostic missed.
Cases to date: an industrial holdings group, a retail bank, and two in earlier stages. Anonymised; case write-ups available on engagement.
Five phases. Each phase produces something the next phase depends on.
Signal selection
One costly-and-absorbable signal-response chain. Picked deliberately; the diagnostic depends on the signal being non-trivial.
Delay diagnosis
Delay profile across the six capability stocks. Measured, not assumed.
Bottleneck finding
Named binding constraint. The place leadership wasn't looking.
Intervention design
Re-sequenced actions that fit existing capability and authority. A working adjustment to the programme you already have.
Consequentiality review
6- and 12-month follow-up. What changed, what didn't, what the diagnostic missed. The discipline that prevents the diagnostic from confirming itself.
Retail bank engagement, anonymised.
The shape generalises; the detail does not.
Signal: customer behaviour shifting faster than the bank's product-response window. Pricing decisions taking longer than the competitor cycle they were responding to.
What leadership assumed: the bottleneck was decision authority. Credit and pricing approvals took too long. The fix would be to widen authority or compress approval cycles.
What SRD measured: the actual delay profile across the six stocks. The bank acquired the customer signal cleanly. The decision authority layer was responsive when the question reached it. The delay accumulated in assimilation — turning raw customer signals into a form a pricing committee could actually decide on.
Intervention: re-sequencing the insight-to-decision workflow. No change to decision authority. No new capability built. The fix sat in the analyst layer the executive team had not been looking at.
More capability or more authority would have been wasted budget. The reframe was the intervention.
Full engagement note available on request, subject to anonymisation review.
No email gate. No download form.
The working paper specifies the framework, the methodological discipline (anti-confirmation gate, inter-analyst reproducibility protocol, post-engagement consequentiality follow-up), and the lineage.
If the methodology is worth its claim, the substance has to be giveable.
Download SRD v0.3 (PDF)Two doors.
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contact@soaringwings.ai → Consulting engagementWork with AJ Olivier
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ajolivier.com →Cite this work
Olivier, A. (2026). Signal-Response Distance: A diagnostic construct for AI-era organisational responsiveness. Working Paper v0.3. Soaring Wings Consulting.