AI governance platform + expert integration services. We don't just give you tools — we help you deploy them. Security, access control, and full audit trails for every agent decision.
New to AI agents? Read our jargon-free executive guide →AI agents can read your databases, call your APIs, send emails on your behalf, and make decisions that affect real customers. Without governance, every agent is an insider threat.
Every agent-to-tool connection requires its own API keys, OAuth tokens, and service accounts. Credentials scatter across environments with no central control.
An agent deletes a production record, sends a customer email, or leaks PII in a response. Without audit trails, nobody knows until the damage is done.
Most agent frameworks give every agent access to every tool. There's no concept of least privilege. A sales assistant can reach engineering databases.
WorkingAgents puts a governance layer between your agents and everything they touch.
Unified proxy to 250+ LLMs. One API, automatic failover, smart routing by cost or latency, minimal overhead. Your agents never talk to model providers directly.
Control plane for agentic workflows. Multi-step execution with retries, timeouts, and fallbacks. Works with any agent framework via HTTPS and Secure WebSocket (WSS) APIs.
Enterprise hub for Model Context Protocol. Centralized tool registry, per-user token management, permission boundaries, and guardrails on every tool call.
WorkingAgents deploys inside your VPC, your data center, or your air-gapped network. The platform orchestrates workloads without extracting data. No third-party ever touches your information.
Virtual MCP Servers let you define permission boundaries per team, per role, per use case. A sales agent sees CRM tools. An engineering agent sees deployment tools. Neither sees the other's data.
Every agent action, tool call, model request, and guardrail evaluation is logged. When something goes wrong — and it will — you know exactly what happened, who triggered it, and why.
Automated safety checks before, during, and after every tool call your agents make.
Validate inputs before any tool runs. Block SQL injection, path traversal, prompt injection, and malformed requests before they reach your systems.
Monitor execution and require human approval for high-risk operations. "The agent wants to delete a production table — approve or deny?"
Inspect outputs before they reach the agent. Redact PII, mask credentials, filter confidential data. Sensitive information never leaves your perimeter.
| Guardrail | What It Catches |
|---|---|
| Prompt injection prevention | Blocks "ignore all previous instructions" and similar attacks |
| PII detection & redaction | 20+ categories: SSNs, credit cards, emails, phones, addresses |
| Content safety | Hate speech, self-harm, violence with configurable thresholds |
| Topic filtering | Block specific domains: medical advice, legal counsel, financial tips |
| Custom rules | Your own policies, your own logic, enforced at the gateway |
Every previous wave of technology created a new category of risk. Cloud computing created cloud security. Mobile apps created app security. APIs created API security. Each time, organizations learned the hard way that the same capabilities that make technology powerful also make it dangerous when ungoverned.
AI agents are the next wave, and the risks are fundamentally different. A misconfigured API endpoint leaks data when someone finds it. An ungoverned AI agent actively seeks out data, makes decisions about it, and takes actions based on those decisions — continuously, at scale, without human review.
A tool waits for instructions. An agent makes decisions. When your AI can decide to query a database, draft an email, and send it — all in a single chain of reasoning — the governance model that worked for tools doesn't work for agents. You need controls at every step of the chain, not just at the entry point.
Credential sprawl. Five agents connecting to ten tools means fifty sets of credentials scattered across config files, environment variables, and secret managers. No central inventory. No rotation policy. One leaked key exposes everything that agent could access.
Shadow actions. An agent deletes a record it shouldn't have. An agent sends an email with confidential pricing. An agent surfaces PII in a chat response. Without audit trails, these events are invisible until a customer complains or a regulator asks questions.
Privilege escalation. An agent designed for customer support discovers it can also access the billing database, the HR system, and the deployment pipeline — because nobody scoped its permissions. It's not malicious. It's just using every tool available to answer the question it was asked.
Cost explosions. An agent stuck in a retry loop burns through thousands of dollars in API calls overnight. Without token-level monitoring and budget enforcement, you find out when the invoice arrives.
Least privilege. Every agent gets exactly the tools it needs and nothing more. Virtual MCP Servers define permission boundaries per team and use case. The sales agent can't reach engineering tools. The support agent can't modify billing records.
Complete visibility. Every tool call, every model request, every guardrail evaluation is logged with the user, the agent, the inputs, the outputs, and the cost. When the CEO asks "what is our AI doing?" — you have the answer.
Automated safety. PII is redacted before it enters agent context. Prompt injection is blocked before it reaches the model. High-risk actions require human approval. The guardrails run at the gateway level — they work regardless of which framework or model the agent uses.
Cost control. Token-level attribution shows exactly which team, user, and use case is consuming what. Budget caps prevent runaway spending. Smart routing sends simple queries to cheaper models and complex queries to capable ones.
WorkingAgents is built by James Aspinwall — a software engineer who got tired of watching AI agents run unsupervised. Every feature exists because a real production system needed it.
We work directly with your team: integration, customization, training, and ongoing support. No ticket queues. No layers of account managers. You talk to the people who build it.
Platform + hands-on expertise. We help you deploy AI agents with the governance your organization demands.