Enterprise AI · Governance
AI governance: permissions, traceability and costs under control.
AI without rules is an operational risk. We define who can do what, log every action, keep a person in critical decisions and control costs with AI Management.
What it covers
Four controls in every process.
So you know who uses AI, what it did, where a person made the call and which limits it cannot cross.
Permissions
We define what each agent and each team can query and execute.
Traceability
Every AI action is logged so it can be reviewed and audited.
Human validation
A person decides in critical processes, and agents hand off to someone when needed.
Guardrails
Limits and control gates that keep AI from acting outside what is allowed.
How it is implemented
From policy to operations.
Governance starts with leadership, is built into the code and is sustained in day-to-day operations.
- 01
Leadership
In AI for Leaders, the C-Level sets priorities, risks and guardrails, and leaves with a 90-day AI adoption and governance roadmap.
Learn more - 02
Engineering
In the AI Engineering & Governance Lab, IT builds agents with evaluations and control gates.
Learn more - 03
Operations
AI Management monitors agents, token usage and costs, and keeps guardrails and permissions up to date.
AI Management
Governance, run every day.
AI Management is the service that runs AI once it is adopted: agents, infrastructure, tokens, guardrails and ROI.
Agent management
Configuration, monitoring and evolution of AI agents.
Infrastructure and tokens
AI usage measured, optimized and with costs under control.
Feasibility and ROI
Technical and business feasibility before you invest.
Governance and guardrails
Permissions, traceability and human validation.
AI automation
End-to-end processes that run on their own.
Adoption and training
Teams that build with AI from day one.
Success stories
Governed AI in production.
Pharmaceutical
3languages with voice
AI virtual assistant in Japanese, English and Portuguese
Terumo
- Data & AI
- Software
Security · 911
3languages: French, Japanese and English
Translator for 911 operators
C5 Baja California Sur
- Data & AI
- Software
Fashion · Generative AI
0photo shoots needed
Generative AI avatars that transform campaigns
Fashion brand
- Data & AI
Frequently asked questions
Questions about AI governance.
What is AI governance?
It is the set of rules, controls and owners that defines how a company uses AI: who can do what, what gets logged, where a person decides and what it costs. Bambú applies it with permissions, traceability, human validation and guardrails.
How do you govern AI agents?
Each agent runs with scoped permissions, logs its actions and hands off to a person in critical processes. With AI Management we monitor its performance and token usage.
How do you control the cost of AI?
We measure and optimize token and infrastructure usage, and we assess feasibility and ROI before scaling a use case.
Where does AI governance start in a company?
With leadership. In HackLab's AI for Leaders level, the C-Level sets priorities, risks and guardrails, and leaves with a 90-day AI adoption and governance roadmap.
More enterprise AI
- AI implementationFrom assessment to operations: how we implement AI in your company.
- AI trainingHackLab on three levels: C-Level, managers and IT teams.
- AI agentsAgents and chatbots connected to your systems, from pilot to production.
- Claude for businessClaude and Claude Code implementation with a Claude partner.
Who controls AI in your company today?
Book an assessment and we'll design the governance of your AI use cases, from leadership to operations.