AI Integration Sprint • 6 weeks
AI reporting & analytics for ConstructionSao Paulo, Brazil
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 construction pages in Sao Paulo • ai reporting & analytics across industries in Sao Paulo
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 Construction
- • Progress updates and documentation are inconsistent
- • Site issues get reported late
- • Back-office workflows are fragmented across tools
Workflows we typically touch
- • Daily site reporting
- • Issue triage
- • Document intake (RFIs, photos, notes)
Integrations: Email, WhatsApp, Shared drives, Spreadsheets
What you get
- • Working prototype tailored to construction
- • 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
- • Define the KPI set and source-of-truth data
- • Automate consolidation + narrative generation
- • Add anomaly flags and questions to investigate
More use cases in Sao Paulo
Same city + industry (construction), different workflows.
Same use case, other industries
Same ai reporting & analytics approach, adapted to different vertical workflows.
FAQ
Do you operate in Sao Paulo?
We work remotely with teams across regions. The free assessment clarifies whether the sprint is a fit for your workflows.
Is this only for Construction?
No — this page is tailored to construction, but the sprint works for any SMB with repeatable workflows.
Do we need perfect data to start?
No. We start with workflow mapping and a prototype using sample data, then define the rollout requirements.
Will it make up numbers?
No. We restrict outputs to computed values from your data and require review before sending.