OORT Labs
Clients

Companies that transformed their operations

Companies across industries use OORT to operate with more intelligence and less effort. From diagnosis to results.

95% of AI projects fail. Not due to lack of technology, but lack of diagnosis, governance and real adoption. The companies featured here did it differently: they started with the problem, measured the return and scaled with control.

Each case starts with an Assessment that maps real processes, projects ROI and prioritizes by impact. Then, AI agents take over tasks that consumed hundreds of hours per month. The team tracks results, adopts the tool and expands to new processes.

The result is not a pilot. It is a leaner, faster operation with visible costs on every AI call.

Companies that trust OORT

Amazon
Stripe
Stone
VTEX
Nubank
Spotify
Slack
Heineken

Cloud Target: from biweekly reports to daily insights with AI

Cloud Target needed to accelerate visibility into sales performance. The analysis cycle was biweekly, relied on manual consolidation and did not generate actionable insights for salespeople.

With OORT, we implemented agents that consolidate CRM, pipeline and target data daily. Each salesperson receives automatic performance insights, deviations and opportunities. The sales manager operates with a real-time dashboard, not a 15-day-old report.

The result was a 40% jump in sales productivity in the first quarter. Decisions that depended on meetings started happening daily, with updated data and AI-generated recommendations.

+40%

sales productivity

15d → 1d

analysis cycle

Adhemar Silva Jr.

Adhemar Silva Jr.

CEO, Cloud Target

Cloud Target

Lattine Group: 120 monthly hours eliminated in finance with 99.7% accuracy

Lattine Group operated with manual onboarding and financial reconciliation processes. A new employee took a week to be integrated. In finance, the team spent hundreds of hours per month on repetitive tasks.

OORT redesigned onboarding with agents that guide new employees, configure access, trigger training and track progress automatically. The process went from one week to 48 hours.

In finance, AI agents took over bank reconciliation, invoice processing and entry validation. 120 monthly hours of manual work eliminated, with 99.7% accuracy. Without hiring anyone.

120h

eliminated per month

99.7%

accuracy

Claudio Reina

Claudio Reina

CEO, Lattine Group

Lattine Group

Results that matter for decision makers

Hours of manual work eliminated per month

Source: IBM, 2025

10,000+

In savings identified across processes

Source: Deloitte, 2026

$5M+

Positive return reported by companies investing in AI

Source: Deloitte, 2026

84%

Average return in the first year of operation

Source: AI Adoption Report, 2025

5.8x