Enterprise Model Context Protocol (MCP) Governance Engine

Your AI agents pass the demo. Make them finish the job on your real systems.

We design, test, and govern the tool layer between autonomous agents and core enterprise backends—SAP, ServiceNow, and Oracle—ensuring high-stakes tasks either complete with verifiable proof or fail gracefully with deterministic audit telemetry.

Founding cohort strictly limited to 3 enterprise deployments for Q4
Workflow: SAP PO Approval ($45k) ServiceNow ITSM Sev-1 Oracle GL Journal ($120k)
Test Case: Normal Verified Unbounded Spend Attack Prompt Injection Exploit
Agent: Claude-3.7-Sonnet (procure-agent-09)
Protocol: MCP v1.2 / JSON-RPC
Axiom Ceiling Threshold: $50,000.00 USD
Axiom Enforcement Pipeline Total: 142ms
200 OK · ERP Write Committed
SAP S/4HANA release completed via BAPI_PO_RELEASE. Document #450008920 updated within verified parameters.

Vendor MCP servers get you connected. They do not get you to production.

Standard vendor endpoints provide basic connectivity. But enterprise security, platform directors, and compliance committees require strict permission boundaries, deterministic composition, and verifiable audit trails.

Raw Connectivity vs. Task

Raw tools, not your workflow

Each vendor exposes isolated, generic endpoints with 50+ unbounded parameters. A real enterprise task that spans SAP, ServiceNow, and Slack requires careful composition, parameter constraints, and task-level verification before agents touch live databases.

Audit & Security Sign-Off

Security cannot approve what it cannot audit

Spinning up a local MCP demo takes 15 minutes; clearing enterprise risk and InfoSec review takes months. We architect granular permission boundaries, spend caps, and immutable audit logs designed directly for CISO sign-off.

Observable Reliability

Continuous task verification

Standard monitoring only logs HTTP 200 responses. Production enterprise agents require end-to-end task completion benchmarks, cost-per-execution telemetry, and automated regression alerts when upstream ERP schema patches alter tool behavior.

Architectural Standard: What is a Governed Tool Layer for AI Agents?

A governed tool layer is a dedicated mediation runtime deployed between autonomous AI agents and enterprise systems of record (SAP, ServiceNow, Oracle). Unlike raw vendor Model Context Protocol (MCP) servers that expose unconstrained endpoints, a governed tool layer enforces strongly-typed parameter validation, per-task token and monetary spend budgets, rollback semantics, and immutable audit logs within customer private VPCs.

Capability Dimension Vendor MCP Server (Anthropic / Third-party) Standard API Gateway (Kong, MuleSoft, Apigee) Axiom Governed Tool Layer
Primary Protocol Model Context Protocol (MCP v1.0) REST, SOAP, GraphQL, gRPC MCP v1.0+, JSON-RPC 2.0, REST Proxy
Target Consumer Interactive Assistant (Claude, Cursor) Web apps, microservices, mobile apps Autonomous Agents & Multi-Agent Swarms
Parameter Constraint Loose schema validation; easily hallucinated Static schema validation (OpenAPI/WSDL) Strict typed JSON Schema + semantic value guards
Runaway Loop & Spend Caps None (unbounded tool calls) Rate limits only (requests per second) Per-task token budget + monetary execution spend caps
Audit & Compliance Telemetry Basic CLI / local process logs HTTP access logs (200 / 4xx status) Cryptographic task trace linking reasoning to DB writes
Schema Drift Monitoring Manual debugging upon failure Manual API versioning lifecycle Continuous staging regression test suites for ERP updates
Execution Boundary Local developer machine / vendor cloud DMZ / Enterprise gateway cluster Customer Enterprise VPC Native (Zero Data Egress)

One stalled agent workflow, taken to production-ready in three steps.

A focused, systematic engineering methodology to de-risk high-stakes agent workflows on your existing enterprise stack.

Phase 01

Task Scoping & Dependency Mapping

Identify one high-value agent workflow that is stalled in review—such as a cross-system purchase order approval or vendor invoice reconciliation. We map which systems, BAPIs, and internal endpoints it touches.

Phase 02

Governed Toolset & Policy Construction

We construct a typed, task-shaped tool layer on top of your existing vendor MCP servers and internal gateways, enforcing granular access controls, execution spend caps, and cryptographic audit telemetry.

Phase 03

Task Verification & Drift Monitoring

An automated task-level test suite measures completion rates, failure modes, and execution cost. It executes continuously and alerts your engineering team the instant an upstream ERP schema update breaks a tool contract.

Status: All tool interfaces in sync with SAP S/4HANA & ServiceNow contracts.

Concrete evidence your security team and sponsor can both sign off on.

Production infrastructure deliverable packages designed to clear architecture review and executive sponsorship.

Governed Toolset for Your Workflow

Curated, strongly-typed tool definitions callable by autonomous agents. Each method includes strict JSON schema validations and error recovery contracts to prevent unconstrained writes.

Security & Risk Audit Policy Document

Human-readable and machine-enforced governance documentation explicitly structured for CISO, risk committee, and enterprise compliance team sign-off.

Task-Success Benchmark Telemetry

End-to-end task completion rates, error categorization, token consumption analysis, and cost-per-execution metrics benchmarked on your real production workflows.

Upstream Schema Drift Alerting

Continuous regression monitoring that alerts your engineering team the moment a backend ERP or CRM patch breaks a tool interface, with the remediation scoped automatically.

Engineered for whoever owns the stalled agent pilot.

Built specifically for enterprise technology leadership seeking production-grade assurance before granting agents write permissions on core production systems like SAP, Oracle, and ServiceNow.

Head of Enterprise Platform & IT CISO, Security & Risk Reviewers VP of AI / Generative AI Program Director
Verified Systems SAP S/4HANA ServiceNow ITSM Oracle Cloud ERP Workday HCM Salesforce Core
Founding Cohort · 3 Enterprise Allocations

We are working with 3 enterprises, one critical workflow each.

Founding design partners work directly with our engineering founders to bring one complex, multi-system agent workflow into audited production readiness over a structured 6-week engagement.

Fixed-Scope 6-Week Deployment

One defined enterprise workflow taken from pilot ambiguity to audited, production-verified completion.

Direct Founder & Infra Engineering Access

Work directly with the architects writing the tool layer, supported by dedicated Slack/Teams connect channels.

Complete Governance Ownership

Full retention of generated tool specifications, regression suites, and enterprise audit telemetry assets.

Apply for Founding Design Partner Slot Direct review with technical founders within 24 hours

Frequently answered questions.

Direct architectural clarity for enterprise platform and security decision-makers.

No. Axiom operates directly on top of the vendor MCP servers, API gateways, and iPaaS integrations you already run. We provide the missing task-level governance, parameter constraints, spend rate controls, and test suites that standard gateways do not offer for autonomous agentic callers.
No. Our task scoping methodology starts from the specific business workflow, not the raw spec catalog. We compose typed interfaces against existing enterprise BAPIs, SOAP endpoints, or internal microservices, handling schema quirks inside the governed tool boundary.
The governed proxy and tool execution runtime deploy entirely within your enterprise VPC (AWS, Azure, GCP) or private Kubernetes cluster. Zero payload data or credentials ever exit your security perimeter.
Both by design. During the 6-week founding pilot, our founders perform hands-on task mapping, tool generation, and security documentation. The resulting testing harnesses, drift monitors, and governance proxies are permanent software assets that continue protecting your workloads in production.
Our continuous task test suite runs against staging environments whenever enterprise systems update. If an RFC parameter is deprecated or an authorization field shifts, Axiom flags the regression immediately with a proposed patch before your production agents encounter runtime failures.

Tell us the one agent task that is stuck in pilot.

Share two lines describing the workflow. We will respond within one business day with technical scoping questions or an honest assessment of whether we can help.

Direct founder review · Non-disclosure agreement ready · Zero marketing spam