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AI Integration Sprint • 6 weeks

AI reporting & analytics for F&BMexico City, Mexico

Turn messy operational data into weekly reports and decision-ready summaries.

Founding cohort: $1,500 (50% off) for first 5 clients • Standard: $3,000 one-time

Explore: all f&b pages in Mexico Cityai reporting & analytics across industries in Mexico City

Week 1: Map workflows
Constraints, data, tools, and success metrics.
Weeks 2–5: Build prototype
Implement the use case with guardrails and iterative testing.
Week 6: Framework + rollout
Implementation framework, SOPs, and a rollout plan.

Common bottlenecks in F&B

  • High volume of customer queries
  • Operational checklists are manual
  • Reporting is time-consuming and inconsistent

Workflows we typically touch

  • Customer messaging
  • Ops checklists
  • Weekly reporting

Integrations: WhatsApp, Email, Spreadsheets, POS exports

What you get

  • • Working prototype tailored to f&b
  • • Implementation framework (architecture + SOPs + rollout plan)
  • • Human-in-the-loop guardrails (escalation + auditability)

How this use case works

Outcomes
  • Faster reporting
  • Cleaner weekly cadence
  • Fewer manual consolidations
Guardrails
  • Source-of-truth constraints
  • Explainable calculations
  • Review before distribution
Implementation approach
  1. Define the KPI set and source-of-truth data
  2. Automate consolidation + narrative generation
  3. Add anomaly flags and questions to investigate

Same use case, other industries

Same ai reporting & analytics approach, adapted to different vertical workflows.

FAQ

Do you operate in Mexico City?
We work remotely with teams across regions. The free assessment clarifies whether the sprint is a fit for your workflows.
Is this only for F&B?
No — this page is tailored to f&b, but the sprint works for any SMB with repeatable workflows.
Is this only for large chains?
No. The sprint is built for SMB operations—focused on measurable lift with realistic effort.
Will it make up numbers?
No. We restrict outputs to computed values from your data and require review before sending.