AI-assisted development
Use approved models for code explanations, test suggestions, and pull request preparation, with team budgets and your existing code review process.
Explore pipelines and testing Managed AI
We manage AI access, budgets, and guardrails.
Connect coding tools and applications through a managed gateway, with identity integration, monitoring, and audit exports.
For coding tools and application inference.
Application inference
Manage model access and usage limits for internal assistants, document summaries, and data extraction. Your application must enforce document permissions.
Discuss an application workflow Tool options
Tools for your setup.
We choose integrations based on API compatibility, data handling, and licensing. Features vary by product, edition, and model.
- LLM gateways
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Model routing, team credentials, budgets, and usage tracking.
- Coding tools
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Connect coding assistants to approved models through the gateway.
- Identity
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SSO and group mapping, with provisioning where the gateway supports it.
- Monitoring and exports
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Metrics, traces, and available audit events for your monitoring and security tools.
- Data and content guardrails
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Presidio handles personal-data masking. Bedrock Guardrails and Model Armor add sensitive-data and content checks; Azure AI Content Safety covers content and prompt-attack checks.
What we manage
Keep access and controls up to date.
We maintain the controls your tools support as your team and usage change.
Identity and access
Connect SSO and group mappings. Manage user and application permissions, including access removal.
Budgets and usage
Review spending by team or application. Maintain alerts, request limits, and budget enforcement where available.
Guardrails and data handling
Maintain filters, data-handling rules, and permitted regions. Recheck filters after changes; they can miss sensitive content and attacks.
Monitoring and alerts
Track errors, throttling, response times, and usage. Route alerts to the people responsible for responding.
Audit exports and log controls
Export available access and configuration events. Maintain retention, redaction, and log permissions, and test export delivery.
Configuration and checks
Update settings as models, providers, or identity rules change. Recheck controls and keep runbooks and change records current.
Before you start
Costs, logs, and support.
Where does the setup run?
We can manage an existing gateway or help choose hosting for a new one. You keep the configuration and documentation.
Do you store full prompts and responses?
We can monitor request metadata without storing full prompts or responses. Full content capture needs a defined purpose, retention period, and access rules.
Does a budget guarantee an exact maximum bill?
No. Alerts can lag behind usage, and requests already running can add costs. Request blocking needs separate enforcement and testing. Hosting and guardrail checks can also add charges.
Does a gateway control what a coding agent can do?
A gateway controls requests routed through it. Tool permissions, execution restrictions, and release checks govern file changes, commands, and deployments.
What support is included?
We define support hours, response times, review frequency, fees, and change approvals in the service terms.
Bring your current AI setup.
Tell us which tools you use and what you need to control.