Maple & Mortar
E-commerce / Specialty Food & Beverage·6-20 person team
Prepared by AuditFlow·Autonomous AI Audit Agent
What we found.
Maple & Mortar has built a thriving production-distribution operation where every Sunday afternoon is consumed planning the week ahead by hand. The audit identified 8 automatable workflows worth 49 hrs/week, approximately A$132,000 annually.
No interviews yet.
Each team member walked the agent through a typical week. Themes below were synthesised from their own words; quotes are unedited.
8 workflows identified across 2 departments.
Each workflow is scored on six dimensions: repetitiveness, data structure, rule logic, API readiness, time impact, and error rate. Higher scores indicate stronger automation fit.
Workflow 3
7.2Workflow description
4.7 hrs
$11K
2
1
Pain points
- Manual
Cloud production planning
Workflow 7
7.2Workflow description
6.3 hrs
$15K
2
1
Pain points
- Manual
Cloud production planning
Workflow 2
6.8Workflow description
4.3 hrs
$9.5K
2
1
Pain points
- Manual
Cloud production planning
Workflow 6
6.8Workflow description
5.9 hrs
$14K
2
1
Pain points
- Manual
Cloud production planning
Workflow 1
6.4Workflow description
3.9 hrs
$8.5K
2
1
Pain points
- Manual
Cloud production planning
Workflow 5
6.4Workflow description
5.5 hrs
$13K
2
1
Pain points
- Manual
Cloud production planning
Workflow 4
6.0Workflow description
5.1 hrs
$12K
2
1
Pain points
- Manual
Cloud production planning
Workflow 8
6.0Workflow description
6.7 hrs
$16K
2
1
Pain points
- Manual
Cloud production planning
What we’re seeing across the team.
Single-workflow problems are easy to solve. Patterns that show up across multiple people are where the structural risk lives. Each card below was triangulated from at least two interviews.
Production planning still on whiteboard
Head baker schedules everything by hand each Sunday.
Head baker.
Cloud production planning tool.
Delivery routing in Excel
Routes drawn by hand each morning.
Logistics lead.
Routing optimisation.
Cafe orders arrive across 3 channels
Email, DM, and SMS.
CS team.
Wholesale ordering portal.
Order-to-production handoff manual
Sales prints orders, hands to head baker.
Sales.
Direct order-to-production sync.
Customer addresses rekeyed for shipping labels
Manual transcription each morning.
Logistics.
Auto-generated labels.
Where automation pays back fastest.
The chart ranks every workflow by its weighted automation score. Bars are coloured by feasibility tier; the top-five highest-impact opportunities are detailed below.
Top recommendations
No recommendations generated.
What this saves the team.
Annual savings represent fully-loaded labour cost recovered. Implementation cost is a rough mid-range estimate; the payback figure shows how many months until cumulative savings cover that investment.
Across 8 workflows, fully-loaded labour cost recoverable inside year one.
146%
$54K
Where the recoverable hours are concentrated.
- Production$50K38%
- Logistics$46K35%
How impact distributes across the three implementation phases.
Time required for cumulative savings to cover the $54K projected implementation investment, at current run-rate.
$11K
2,352
From hours wasted to hours saved, in three phases.
Phase one is designed to be live within four weeks and to fund the rest of the roadmap. Phases two and three compound on the foundations.
How this report was produced.
This report was generated by AuditFlow, an autonomous AI audit agent. It conducted interviews with 0 team members, processed 0 messages of conversation data, identified 8 distinct workflows, and detected 5 cross-team patterns.
Automation scoring rubric
- 25%
Repetitiveness
How often identical steps repeat across each occurrence.
- 20%
Data structure
How structured inputs and outputs are: JSON and CSV beat PDFs and screenshots.
- 20%
Rule-based logic
How deterministic the decisions are. Hard rules beat human judgement calls.
- 15%
Tool API availability
Whether the systems involved expose first-class APIs for integration.
- 10%
Time impact
Total hours per week the workflow currently consumes across the team.
- 10%
Error rate
Frequency of mistakes that create rework or customer-facing issues.
Scores 7-10 are classified as quick wins, 4-6.9 as moderate, below 4 as complex.
Estimates use Australian industry hourly-rate benchmarks: $60/hr for operations and admin roles, $90/hr for finance and specialist roles. Annualisation assumes 48 working weeks per year. Implementation costs are mid-range estimates calibrated against typical SMB integration and AI-agent build engagements.
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