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01Services

3 services, and what arrives with each.

Each service starts with the problem it solves and ends with what stays with you. Open the one that looks like your situation: the proposal shows the stages, what arrives, who from your team takes part and what starts being measured.

Data

Data Architecture and Governance

A number nobody disputes.

For whoever takes a number to the board and cannot say where it came from. We map the sources, fix the data flow and deliver verified data in the team's tools, with clear owners and access rules.

What arrives

  1. A map of sources, critical indicators and LGPD safeguards, with a rollout plan prioritised by impact, risk and effort
  2. Standardised, verified data with a traceable source and rules that block or flag inconsistencies before use
  3. Data in the tools, systems and agents defined for the project, with controlled access and a manual for the team to operate

How it is boughtOne project, from the assessment to assisted operation.

See the proposal

Culture

AI Culture and Operations

AI as part of the work, beyond the tool.

For companies using AI without seeing operational change. We map each area's actual work, develop the teams involved and implement agents where they fit, with limits, owners and metrics.

What arrives

  1. Assessment of the work and AI opportunities, with priorities based on impact, effort and risk
  2. Learning tracks and experiments by role, with an owner, metric and next step
  3. Agents where the work allows, with scope, limits and human decisions defined

How it is boughtOngoing culture support or an agent implementation project. You can engage either track or combine both.

See the proposal

Products

Vibe Coding and AI-Based Products

AI products the team can maintain.

For teams building with AI that need to maintain and reuse what they build. We define a team standard and, where it fits, a product foundation, with human review, quality checks and cost tracking.

What arrives

  1. AI development standard with instructions, review and tests defined with the team
  2. Reusable template and first application built together within the approved scope
  3. AI product foundation with permitted data, quality checks, use limits and cost tracking

How it is boughtTwo projects that can be engaged separately: the development standard and the AI foundation for products.

See the proposal