Monitor, evaluate, and control autonomous execution across SAP, Oracle, Workday, and modern enterprise systems.
Sentinel ensures AI agents operate safely across complex enterprise workflows by detecting system changes, enforcing guardrails, simulating impact, and controlling execution in real time.
Built by Adomo — AI infrastructure for autonomous systems.
Built for systems like
The problem
Enterprises are adopting AI agents at an unprecedented pace — automating procurement, HR operations, financial close, and supply chain workflows that were once entirely manual.
These agents act across deeply fragmented systems. SAP for ERP. Oracle for financials. Workday for HCM. ServiceNow for IT. Each with its own data model, API surface, and release cadence.
When an upstream system changes — a field is deprecated, a validation rule is tightened, an API version is sunset — agents don't adapt. They break. And the failures cascade silently through downstream workflows before anyone notices.
The result
Agents write corrupted or stale values into production systems — purchase orders with wrong amounts, employee records with outdated org structures, invoices that don't reconcile.
A schema change in SAP or a deprecated API in Workday silently breaks an agent's execution path. No one knows until downstream processes start failing.
Autonomous actions without audit trails, approval gates, or policy checks put enterprises on the wrong side of SOX, GDPR, and internal controls.
Autonomous execution without control is operational risk.
How it works
Continuously monitors upstream system changes across enterprise infrastructure.
Tracks agent behavior, intent, and execution across workflows.
Applies deterministic guardrails and policy checks before execution.
Blocks, approves, or routes actions while maintaining full auditability.
Capabilities
Detect schema, workflow, and rule changes across SAP, Oracle, and Workday — before they break downstream execution.
Monitor what every agent is doing in real time. Trace intent, actions, and outcomes across every connected system.
Define guardrails for financial, operational, and compliance actions. Enforce them deterministically at execution time.
Preview downstream impact before execution. Understand what an agent will change — and what it could break.
Track every action with an immutable log. Revert any agent-initiated change to a known-good state when necessary.
Real world scenario
System change
SAP S/4HANA updates the vendor master schema — a previously optional tax classification field becomes mandatory.
Agent acts on stale assumptions
The vendor onboarding agent attempts to create a new vendor record using its existing payload — missing the newly required field.
Sentinel detects the mismatch
Sentinel's change detection layer identifies the schema drift and flags the agent's payload as non-compliant before it reaches SAP.
Action blocked
The write operation is halted. The agent is notified with a structured error and the specific field-level delta that caused the block.
Downstream impact simulated
Sentinel's simulation engine evaluates what would have happened: failed invoice matching, blocked PO creation, and a compliance gap in the vendor audit trail.
Full audit logged
The attempted action, policy evaluation, simulation results, and block decision are recorded in an immutable, queryable audit log.
Nothing executes without control.
Why now
AI agents have crossed the threshold. What started as isolated prototypes are now executing real business processes — procurement, onboarding, financial reconciliation — in production environments.
Enterprises aren't deploying one agent. They're deploying dozens, across business units, geographies, and system boundaries. Each one acting independently, continuously.
SAP, Oracle, and Workday were designed for human operators. Their APIs, validation logic, and change management processes assume a person in the loop. Agents don't wait.
Control is no longer a nice-to-have compliance checkbox. It's core infrastructure — as fundamental as networking, identity, or observability.
The next generation of software is autonomous. It needs a control layer.
Sentinel is the control plane for enterprise AI execution.