Control every AI request
before company data reaches a model.
Every request is checked against the user’s permissions. Sensitive information is removed, company policies are applied and a complete record is created before the request reaches an AI provider.
Review AI securityA policy document cannot control what an employee sends to an AI tool. The controls have to operate when the request is made. If someone cannot access payroll in the original system, asking an AI model must not give that person access. The same rule has to apply across Claude, Codex, ChatGPT and private models.
AI becomes useful when it can work with real company knowledge. Without access to email, documents and databases, it gives generic answers. Connected directly, it can expose sensitive information, bypass existing access rules, create uncontrolled costs and leave no reliable record of what happened.
An independent control layer should sit between your teams, company systems and every AI provider. Installed inside the company’s infrastructure, it checks who is asking, which sources that person may access, what information must be removed and how much the request may cost before it reaches a model.
Teams + data
People keep using the AI tools they prefer and the company systems they already have permission to access.
Email · documents · Slack · Notion · OracleIndependent control layer
Every request follows the same path before it reaches a model.
- Permissions
- Sensitive-data protection
- Spending limits
- Evidence
- Knowledge indexes
AI models
Providers can change or be combined without rebuilding permissions or data connections.
Claude · Codex · ChatGPT · private modelsExisting permissions remain in place, sensitive information can be removed and every interaction leaves a complete record.
The controls should not belong to one model provider. The same connection works with Claude, Codex, ChatGPT, open-source and private models. Providers can be changed or combined without rebuilding permissions or data connections. Company knowledge is processed once, remains subject to existing access rules and can be used from any approved AI tool.
Every interaction leaves evidence. The company can see who accessed what, which policy was applied, what information reached the provider and what the request cost. This evidence supports internal governance, security reviews and obligations under the EU AI Act.
How it works
The Agile Monkeys does not hand over another platform for an internal team to configure and maintain. The service includes the setup, connections to company data, support during the security review, ongoing operation and monthly reporting.
- 01
The current AI setup is mapped.
The Agile Monkeys identifies which AI tools are already being used, which teams use them, what company data they need, what each provider costs and where permissions or security controls are missing.
- 02
The control layer is installed inside your infrastructure.
The layer is connected to approved company systems and AI providers. Existing permissions remain in place, sensitive-data rules are configured and spending limits are defined. The Agile Monkeys supports the deployment through the company’s own security review.
- 03
The service is operated with your team.
Usage, costs, permissions and data connections are monitored. Each month, the company receives a report showing adoption, spending, time saved, estimated value and any issue that requires attention.
The monthly report makes usage and value visible. Leadership receives one view across every AI provider. Security can review access and evidence. Finance can understand spending and value. The teams can continue using the tools that work best for them.
- AI requests
- 250
- work saved
- 12h
- AI cost
- $1,000
- estimated value
- $35,000
- HR adoption
- 11 requests
- Training may be useful
- Knowledge
- 4 indexes
- Existing permissions preserved
- Oracle
- Connected
- Approved access only
- Spending
- Within limits
- No budget exceptions
The Agile Monkeys is the team in the middle.
AI providers supply the models. Your teams use them. The Agile Monkeys installs and operates the independent control layer between both sides, supports the company’s security review and remains responsible as tools, data sources and regulations change.
A control layer in the middle. A team accountable for it.
Review how AI security would work in your environment.
Discuss your situation with the technical team that installs and operates the control layer between company data and AI providers.
Or write to hello@theagilemonkeys.com