How We Analyse Automation Decisions
Every Autonomy Bridge engagement applies the same structured analytical sequence — from utilization validation through to a documented go / pause / kill recommendation.
Stage 1 — Utilization Validation
The first question is not whether automation works. It is whether the specific facility can maintain utilization above the minimum threshold required for capital recovery across the asset life.
This stage models the facility's demand profile against the installed capacity of the proposed automation system — under realistic variability, not vendor-assumed peak throughput.
- Historical order volume distribution and seasonal range
- Client contract duration and renewal risk
- Peak-to-trough demand ratio
- Break-even utilization threshold calculation
If the facility cannot sustain required utilization under conservative demand assumptions, the analysis terminates here with a structured no-go recommendation.
Stage 2 — Workflow Constraint Mapping
Automation only increases shipped volume if it addresses the actual throughput constraint. This stage maps the full fulfillment workflow to identify where the bottleneck sits — and whether the proposed system addresses it.
Workflow nodes analysed:
- Receiving and putaway
- Storage and replenishment
- Pick (travel, locate, retrieve)
- Transport and sortation
- Pack and outbound staging
The constraint node determines the maximum realised throughput of the facility. Automation that improves a non-constraint node shifts congestion rather than removing it.
Stage 3 — Labor and Capital Economics
This stage models the net economic impact of automation under the specific facility's operating conditions — not vendor benchmark assumptions.
Labor Analysis
- Removable labor share (travel, repetitive handling)
- Labor added by automation (supervision, replenishment, exceptions)
- Net removable labor at modelled utilization
- Wage trajectory over contract life
Capital Analysis
- Capex and integration cost
- Annual support and maintenance
- Payback period at conservative utilization
- Sensitivity to demand trough scenarios
Stage 4 — Vendor and Architecture Evaluation
Once economic viability is confirmed, the analysis evaluates which vendor architecture best fits the facility's workflow structure, SKU profile, and integration constraints.
- AMR vs goods-to-person vs hybrid architecture fit
- Fleet density requirements at required utilization
- WMS integration complexity and risk
- Vendor pricing structure and contract terms
- Reference site comparability
Stage 5 — Risk Assessment
Deployment risk is evaluated across four categories before a recommendation is issued.
- Utilization risk — demand falls below break-even threshold
- Integration risk — WMS or ERP compatibility failures during ramp
- Layout risk — facility constraints limit robot density or workflow
- Commercial risk — client contract loss before capital recovery
Each risk is rated by probability and impact. Risks above tolerance threshold are flagged as conditions that must be resolved before deployment proceeds.
Stage 6 — Decision Brief Output
Every engagement concludes with a structured decision brief containing:
- Decision question and scope
- Utilization model with variable inputs
- Workflow constraint map
- Net labor and capital economics
- Vendor / architecture evaluation
- Risk register with rated items
- Go / Pause / Kill recommendation with stated conditions
The recommendation is explicit. If data is insufficient to support a recommendation, that gap is documented — not papered over.
What We Do Not Do
- Implementation or integration work
- Vendor selection without economic validation first
- Commercial arrangements with automation vendors being evaluated
- Market research that does not conclude in a decision recommendation