Ungoverned agent traffic
Agents call APIs at a volume and pattern no human client ever did, and a gateway set up for apps does not know the difference.
What waiting costs: one endpoint without policy is the breach report.
Apigee and APIs
We design Apigee platforms, move estates onto Apigee X and hybrid, and set Apigee up as the AI Gateway that authenticates, limits and logs every call an agent makes.
An API estate is ready for agents only when every call has an owner and a policy.
Where you are
Some are on older Apigee versions that need to move. Agents have started calling them.
Agents call APIs at a volume and pattern no human client ever did, and a gateway set up for apps does not know the difference.
What waiting costs: one endpoint without policy is the breach report.
Older Apigee versions carry a support clock.
What waiting costs: a rushed move that carries old problems onto the new platform.
Token use grows faster than anyone tracks it.
What waiting costs: a budget conversation after the money is spent.
What is in the way
Nobody has the inventory, the ownership or the policy model agents now need.
Which of your APIs could an agent call today, and who would know if it did?
How we clear it
The audit trail, the gateway, one named owner, the review plan.
The governed call
Organization model, environments, policies, quotas and logging, written for the people who sign them off.
You hold: a platform design and a policy set your security team approved.
Edge and OPDK to Apigee X or hybrid, moved in waves, with every API registered and owned when it lands.
You hold: a migrated estate that is ready for agents, not just relocated.
Apigee as the AI Gateway: identity, token quotas, routing across models, and a decision log for every call.
You hold: one place to see and control what every agent and model does.
Easy to start
Choose one workflow, name one owner, and give us time with the people who sign it off.
We bring engineers and the gateway design, we work inside your environment under your security rules, and we write the review pack alongside the build.
A good first step is the Agentic Readiness Assessment or one migration wave. See the fixed-price ways to start.
What the work feels like
One workflow is chosen and one person owns it. The questions your reviewers will ask are written down before any build starts.
Governance goes in before the first agent does: the gateway, the audit trail and the access rules. Your risk team sees them working.
A working demo you can show your own review board, not a status slide.
A decision log that can rebuild any action, and a go-live date that was agreed at the start.
Production readiness check
A short readiness check on a live or planned agent workflow. You get a score and the principles worth another look.
Take the readiness checkWe plan the move in waves with parallel running, and agree the cutover plan with your operations team before the first wave.
Yes. We start with an assessment of what to keep, what to move and in what order.
It becomes the AI Gateway: one place to authenticate agents, control token spend, route to models and log every call.
Yes, as a managed service if you want one, with the same policy and logging standards.
Tell us what you are working on. Our Customer Partnership Team will reply to arrange a conversation.
Get answers to your questions
AI assistant. It can make mistakes, so check anything important with our team.