AI Agent Gateway
One integration for every AI model and every AI agent in your delivery pipeline. The gateway routes each call to the right model provider or deployed agent, enforces policy on the way through, and meters usage and cost per agent, team and model. A gateway for agents as well as models.
Used by the world's leading companies
What is an AI agent gateway?
An AI agent gateway is a single governed endpoint between your applications and the AI they call. Every request passes through it, whether the target is a foundation model or a deployed AI agent. The gateway decides where the call goes, checks it against policy, records what happened and meters what it cost.
Most AI gateways stop at models. They put many model providers behind one API, which solves provider sprawl for prompts and completions. Engineering teams now also run agents: coding agents, review agents, SRE agents and the agents they build themselves. An agent call is a different kind of call. The agent holds context, uses tools and acts for a principal, so it needs identity, authority boundaries and an audit trail as well as routing. The AI Agent Gateway governs both call classes on one plane.
Scrums.com launched the gateway as Scrums.AI: an enterprise integration layer for discovering, integrating and coordinating AI agents across the software delivery lifecycle. It now runs as a capability of the platform, next to the AI agent harness that sets how each agent behaves in production, and the AI Catalog of deployable models and agents.
Model gateway vs agent gateway, defined
Model gateway
One API in front of many model providers. It normalizes request formats, fails over between providers and counts tokens. The call is stateless: a prompt goes in, a completion comes out.
Routes prompts and completionsAgent gateway
One governed entry point for AI agents. Each agent is a principal with its own identity, scope and credential. The gateway enforces what the agent may do and records every run it performs.
Governs runs, tools and authorityRouting
The decision about where each call goes: which provider, which model, which agent. Rules route on capability, latency, cost, security and data residency, and change without a code change in the calling application.
Set by policy, not hard-codedGovernance
Access control, approval gates and guardrails applied on the call path. A block set for the organization cannot be weakened by a team or by a single agent.
Enforced in one placeObservability
Every model call and agent run is logged with latency, outcome, tokens and the policy verdict, on the same governed data layer as the rest of delivery.
One audit trail for both call classesMetering
Usage and spend recorded per call and attributed to an agent, a team, a model and an engagement. It is the base for budgets, chargeback and a clear answer to what each agent costs.
Per agent, per team, per modelIntegrate once. Route to every model and agent.
Integrate your applications with the gateway once and reach the leading AI agents across your development pipeline. Each stage below lists the agent roles the gateway routes and governs.
Specification AI
Architecture agents, policy-enforcement agents and business-requirements agents turn intent into a specification the rest of the pipeline can use.
Coding AI
Code-generation agents, secure-coding agents and standards-compliance agents write changes and check them against your rules.
Infrastructure AI
Infrastructure-optimization agents, cost-efficiency agents and auto-scaling agents tune the environments your code runs on.
Deployment AI
CI/CD agents, config-validation agents and orchestration agents move changes to production through your quality gates.
Production AI
Monitoring agents, incident-triage agents and self-healing systems observe production and respond when it degrades.
Agents you build
Agents your teams build register with the gateway like any third-party agent: the same identity, the same policy, the same metering.
Models and agents in the gateway
A short list of live records from the AI Catalog. Models and agents sit in the same catalog and deploy through the same gateway. Browse the full AI Catalog for every class.
AI models
All models- OpenAIOpenAI's frontier GPT model family for text, reasoning, vision, and speech, offered via API and enterprise plans. Scrums.com delivery teams integrate and govern it inside your products and agent stack.
- AnthropicAnthropic's Claude model family for reasoning, coding, and agentic workloads, offered via API and major cloud marketplaces. Scrums.com delivery teams integrate and govern it on the SEOP.
- GeminiGoogle's natively multimodal Gemini model family, offered via the Gemini API and Vertex AI. Scrums.com delivery teams integrate and govern it inside your products and agent stack on the SEOP.Google DeepMind
- LlamaMeta's open-weight Llama model family for self-hosted and managed deployment across clouds. Scrums.com delivery teams deploy, fine-tune, and govern it inside your stack on the SEOP.Meta
- Mistral AIEuropean frontier lab Mistral AI offers open-weight and commercial models via La Plateforme and major clouds. Scrums.com delivery teams integrate and govern them inside your stack on the SEOP.
- DeepSeekDeepSeek's cost-efficient reasoning and general models, with open-weight releases and a usage-based API. Scrums.com delivery teams integrate and govern them inside your stack on the SEOP.
AI agents
All agents- Claude CodeAnthropic's terminal-based coding agent for codebase understanding, edits, testing, debugging and developer workflows — deployed across your teams and governed by Scrums.com.Anthropic
- GitHub Copilot coding agentGitHub's delegated coding agent that works from issues and tasks and produces pull requests inside GitHub workflows — rolled out and governed by Scrums.com.GitHub
- Cursor AgentRepository-aware coding agent from Cursor for implementing, modifying and debugging software in the editor and in the cloud — integrated into your workflows by Scrums.com.Cursor
- DevinAutonomous software engineer by Cognition that takes on backlog tasks, migrations, bug fixing, testing, PRs and incident work — deployed and governed in your stack by Scrums.com.Cognition
- CodeRabbitAI-first pull-request review agent by CodeRabbit for automated code review, change summaries and fix guidance — wired into your repositories and governed by Scrums.com.
- Factory DroidFactory's software-development agent that plans, writes, tests and ships code from natural-language tasks — integrated into your delivery flow and governed by Scrums.com.Factory
What the gateway governs
Models and agents share one control plane. Every control below applies on the call path, to both call classes.
Unified agent management
One dashboard for every model and agent you run.
Model routing
Route each call on capability, latency, cost and residency.
Agent collaboration (MCP)
Agents share context through the Model Context Protocol.
Security & governance
Central guardrails for every model call and agent run.
Cost transparency
Usage and spend per agent, per team and per model.
Observability
Every call recorded on one audit trail.
How the gateway works
Integrate once, then govern every model and agent from the same place. The same onboarding as the rest of the platform, because it is the same platform.
Integrate once
Point your applications, internal tools and CI at one gateway endpoint. No per-provider SDKs and no per-agent integrations.
Add models and agents
Connect model providers, add agents from the AI Catalog, or register the agents your teams build.
Set routing and policy
Choose routing rules per task. Set access, approval and budget policy per agent, team and model.
Observe and meter
Watch every call land with latency, outcome, policy verdict and cost. Tune routing and policy from the data.
AI Agent Gateway vs the alternatives
| Capability | AI Agent Gateway | Models-only AI gateway | In-house build | Marketplace tool |
|---|---|---|---|---|
| AI agent management | One dashboard for every model and agent | Models only; agents run elsewhere | High build cost and complexity | Fragmented; each tool manages itself |
| Agent collaboration (MCP) | Built-in Model Context Protocol support | Out of scope | Heavy build for inter-agent context | No native agent-to-agent coordination |
| Model routing | Routes across model providers and agents | Routes across model providers | Custom routing to build and run | Tied to the vendor's own models |
| Cost transparency | Usage and spend per agent, team and model | Token spend per model | Visible, at build cost | Per tool only |
| Security & governance | Central guardrails for models and agents | Keys and rate limits per model | Custom, high effort | Varies by vendor |
| Maintenance & scalability | Run by the platform | Run by the vendor, models only | Ongoing engineering burden | Overhead per tool |
A models-only gateway solves provider sprawl. An agent gateway also governs what agents are allowed to do.
Proof and resources
Partnerships, delivery outcomes and guides on AI agents in software delivery. View all AI resources.
Scrums.com partners with Windsurf
Partnership · AI coding agents in the delivery pipeline. Read the announcement
93% less wait and lead time for AI integrations
Outcome · measured across AI integration delivery. See AI development
Global team orchestration for a unicorn SaaS
Case study · PPRO, certified fintech unicorn. Read the case study
AI-powered anomaly detection for software maintenance
Guide · how AI detects anomalies before they become incidents. Read the guide
The emergence of AI-generated code
Guide · the challenges and opportunities of AI-generated code. Read the guide
The rise of AI governance platforms
Blog · why governance platforms keep AI systems secure and compliant. Read the post
What engineering leaders say
“Our project was incredibly successful thanks to the guidance and professionalism of the Scrums.com teams. The Scrums.com team often pre-empted and identified solutions and enhancements to our project, going over and above to make it a success.”
AI Agent Gateway. Frequently asked questions
What is an AI agent gateway?
An AI agent gateway is a single governed endpoint between your applications and the AI they call. It covers AI models and AI agents: it routes each call to the right provider or agent, enforces access and approval policy, records every call and run, and meters usage and cost per agent, team and model.
How is an agent gateway different from a model gateway?
A model gateway puts many model providers behind one API and routes prompts and completions. An agent gateway also governs AI agents, which hold context, use tools and act for a principal. Each agent gets its own identity, scope and audit trail. The Scrums.com AI Agent Gateway does both, so models and agents share one policy plane and one meter.
Who should use AI Agent Gateway?
AI Agent Gateway is for engineering leaders, CTOs, CPOs, CIOs, developers and business leaders who run multiple AI models and agents, and who need rapid deployment, data privacy and one place to control them.
Can I see what each agent and model costs?
Yes. The gateway meters every call and attributes usage and spend to an agent, a team, a model and an engagement. Track usage, monitor spending and manage budgets from the Scrums.com Software Engineering Orchestration Platform dashboard.
Do I need a ChatGPT/OpenAI account?
No. You don't need a separate ChatGPT or OpenAI account. The gateway connects to your preferred models through built-in provider integrations, or you can bring your own provider keys.
Which models and agents can the gateway route to?
Models and agents listed in the Scrums.com AI Catalog, such as the OpenAI, Anthropic Claude, Google Gemini, Meta Llama, Mistral AI and DeepSeek model families, and coding agents such as Claude Code, GitHub Copilot coding agent, Cursor Agent and Devin. Agents your own teams build register with the gateway in the same way.
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an open standard for how AI agents share context and reach tools, data and APIs. The gateway uses MCP so agents can access real-world data and APIs inside your software applications, under the same policy as every other call.
What was Scrums.AI?
Scrums.AI is the name under which Scrums.com launched its AI Agent Gateway and enterprise integration platform. The gateway is now a capability of the Scrums.com platform.
Is AI Agent Gateway priced separately?
No. AI Agent Gateway is a capability of the Scrums.com platform, included in the platform subscription alongside every other capability. There is no separate gateway product and no per-capability pricing.
More platform capabilities
Every capability below ships in the same bundled subscription. One platform, one plan, nothing sold piecemeal.
One platform. One subscription.
AI Agent Gateway included.
AI Agent Gateway isn't a product you buy separately. It's one capability of the Software Engineering Orchestration Platform, bundled with every other capability on this page.