The Control Plane for Enterprise Workflows

See How Work Actually Runs. Control How It Executes.

TNDRL is the control plane for enterprise workflows. It builds a living Workflow Twin of your operations, reveals where work breaks, and governs execution in real time across any agent framework.

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Observe
Build Twin
Score
Promote
Govern
Continuous closed loop

The Problem

Work is invisible. Automation is flying blind.

Enterprise workflows live across humans, software, queues, and decisions. No one can see them end-to-end. Teams span 5-12 systems. Processes live in tribal knowledge. And yet enterprises are deploying AI agents into workflows they do not fully understand — with no system of record for how work runs and no control plane to keep execution within safe bounds.

What you think the process is
Receive
Step 1
Review
Step 2
Approve
Step 3
End

4 steps · 1 path · 0 exceptions

What TNDRL discovers
start decision branch end variant A exception

Multiple variants · Decision points · Exception paths · Full picture

How It Works

From invisible work to Governed Workflows.

01

What work is actually happening?

TNDRL observes real execution across browsers, desktop apps, Citrix, and VDI. No manual mapping required.

02

Build the Workflow Twin

A living model of every step, variant, decision point, and exception in how work actually flows across your systems.

03

Where is it breaking?

The twin is analyzed for stability, variability, friction, and execution readiness. Leaders see where the system breaks.

04

What is ready for a Governed Workflow?

TNDRL promotes Workflow Twins into Governed Workflows only where stability is sufficient, exceptions are predictable, and the Governed Runtime can enforce guardrails.

05

Govern Execution

Agents execute while TNDRL continuously monitors drift, policy compliance, and new variants against the living Workflow Twin.

The Workflow Twin

The artifact that makes everything else possible.

TNDRL creates a living model of how work actually happens — then uses it to diagnose problems, score readiness, and govern execution in real time. The Workflow Twin becomes the system of record for how work actually runs — powering diagnosis, promotion, and runtime governance.

Observed Work
Workflow Twin
Governed Workflow
Governed Runtime
Drift Monitoring

Each Governed Workflow includes:

Process Consistency
How reliably the workflow follows its expected path
Allowed Variations
Which alternate paths are acceptable
Automation Readiness
Which steps can safely run autonomously
Variability Threshold
How much deviation is allowed before intervention
Compliance Policies
Rules the workflow must never violate
Rollback Triggers
Conditions that halt execution and revert control
Execution proceeds only while safety thresholds remain within bounds.

Platform Architecture

How TNDRL powers the enterprise control plane.

Three modules power TNDRL's control plane. Signal captures real work. Paths builds the Workflow Twin. Sentinel enforces runtime policy. Together they create a unified system of record and governance layer between agents and enterprise systems.

TNDRL Platform Architecture
SIGNAL
Capture workflow behavior
Lightweight agent captures real work across browsers, desktop apps, Citrix, VDI. Real-time workflow discovery — never regulated content.
PATHS
Build workflow twin
Constructs the Workflow Twin with fidelity scoring, stability measurement, variant discovery, and workflow health metrics. The core artifact.
SENTINEL
Enforce runtime policy
A runtime governance layer that ensures agents execute within approved workflows before they act. Blocks disallowed paths, enforces human review, and watches for drift. The runtime enforcement layer of the TNDRL control plane.
Observe • Understand • Govern
Capability TNDRL Celonis UiPath
Discovers actual workflows Real-time observation Log-based analysis Manual mapping
Captures exceptions & variants Real-time variant discovery Partial coverage Limited coverage
Execution readiness scoring Built-in Separate tools needed Manual assessment
Governs execution at runtime Policy enforcement layer Outside core scope Execution-only
Continuous drift detection Automated Periodic snapshots Manual monitoring
Works with any agent framework Framework-agnostic Celonis ecosystem UiPath ecosystem

From Workflow Twin to Runtime Policy

The policy layer for enterprise execution.

Sentinel compiles the Workflow Twin into a Governed Workflow — a portable runtime policy derived from real work. It defines what can run, what requires approval, and what must stop when conditions change. Any agent framework can execute within that policy.

governed-workflow.tndrl
function
Claims intake validation
exec_policy
Autonomous with approval gate
guardrails
No PII exposure, escalate on ambiguity
decision_model
Deterministic path with confidence threshold
risk_profile
Medium — 2 human checkpoints
provenance
Twin v4 · Fidelity: high
validation
Validated · Drift clear
tndrl_meta
twin_fidelity: 0.94 · drift_delta: 0.02

Execution Interface

Defines what runs, under what policy, and which external agent framework can execute it. The portable spec that plugs into any ecosystem — OpenAI, Anthropic, UiPath, or custom agents.

Safety Layer

Guardrails, risk profiles, escalation triggers, human-in-the-loop checkpoints. Defines what must not go wrong and what happens when it does.

Governance Layer

Drift detection, governance response, recompile loops. Governed Workflows that stay safe as work changes, with continuous validation against the living twin.

Runtime Activation

Turns governed workflow design into live runtime enforcement. Workflow health metrics, allowed variations, variability thresholds, and compliance policies become enforceable runtime guardrails.

Governed Runtime

TNDRL does not replace agent frameworks. It governs them.

Most platforms generate automation or execute it. TNDRL adds the missing layer: a control plane that enforces runtime policy, detects drift, and intervenes before execution becomes unsafe. Sentinel sits above the agent layer and continuously validates every action against the living Workflow Twin.

TNDRL Platform Architecture
SIGNAL
Capture workflow behavior
PATHS
Build workflow twin
SENTINEL
Enforce runtime policy
EXTERNAL AGENTS
OpenAI, Anthropic, UiPath, or custom
ENTERPRISE SYSTEMS
SAP, Salesforce, Workday, ServiceNow
Observe • Understand • Govern

Execution Gatekeeping

Before an agent executes any step, Sentinel checks whether that action is allowed under the workflow specification. Step within variability threshold. Correct system transition. Required context present. Human checkpoint required. If any rule fails, execution pauses.

Variant Enforcement

Every workflow has allowed variants and blocked paths. The runtime prevents agents from executing outside the allowed tolerance. Derived from the Allowed Variations model in the Workflow Twin.

Variability Threshold Monitoring

Each workflow has a maximum variability threshold. If execution causes workflow variability to exceed safe limits, Sentinel triggers alerts, human checkpoints, or rollback. This is the core mechanism TNDRL uses to detect drift risk before it becomes a compliance issue.

Drift Detection

Execution is continuously compared against the Workflow Twin. System transitions changing, new exception paths emerging, human intervention frequency rising. When drift occurs: Detect, Simulate, Adjust, Validate.

Safety Controls

The runtime enforces governance policies defined during workflow promotion: rollback triggers, human checkpoints, compliance rules, and escalation paths. Execution proceeds only while operating within defined safety bounds.

TNDRL does not execute workflows. It governs execution across any agent platform.

That is why any agent framework works with TNDRL. The control plane sits above the execution layer.

What You Get

The Workflow Twin in action.

This is what TNDRL produces from observed work sessions — a living, scored, policy-ready system of record for how work actually flows.

TNDRL — Workflow Twin Console
Workflows
Claims Intake
Payment Review
Enrollment
Views
Twin Graph
Readiness
Contracts
Drift Monitor

Claims Intake Workflow

Observed from 3 teams · Enterprise Operations
Twin Active
No Drift
Discovered process map
Intake Valid. Decide Route Review Close Escalate Appeal low risk high risk low risk
Process Consistency
Strong 92%
This workflow follows its expected path consistently
Measures how predictably a workflow follows its defined path.
Determinism score: 0.92 · Entropy: 0.34 · CV: 0.18
Variation Level
Low 34%
Minimal deviation from expected pattern
Quantifies how much a workflow deviates from its expected pattern.
Entropy: 0.34 · Variant spread index: 0.21
Active Work Ratio
67% active
Percentage of cycle time on value-adding activities
Percentage of total cycle time spent on value-adding activities vs. waiting.
Flow efficiency ratio: 0.67 · Active: 22min · Wait: 11min
Outcome Consistency
Good 77%
Results are consistent across runs
Measures how consistent results are across workflow runs.
CV: 0.23 · Skewness: 0.12 · Kurtosis: 2.8
Automation Readiness
High 84%
Which steps AI can safely run
Scores how suitable each workflow step is for automation.
Readiness score: 0.84 · 12/14 steps automatable
Governance Status
Active
Checkpoints, triggers, and audit trails enabled
Runtime policy enforcement with safety controls.
3 checkpoints · 2 rollback triggers · Audit logging on

Conceptual output from observed work sessions

Solutions

Built for complex enterprise workflows.

TNDRL is built for workflows that break naive automation — operations with exceptions, handoffs, and policy constraints that span multiple systems and teams.

Customer Support Operations

Ticket routing, escalation paths, and cross-system resolution. Discover every variant in how your team handles support, then convert proven workflows into Governed Workflows with escalation guardrails.

Discover variants · Govern paths · Control exceptions

Finance Operations

Invoice processing, payment disputes, reconciliation. TNDRL maps how finance work flows across legacy tools and promotes validated Governed Workflows with built-in compliance policies.

Map cross-system flows · Score readiness · Govern continuously

Insurance & Healthcare Admin

Claims, prior authorization, enrollment, and billing across multiple systems. TNDRL reveals how work actually flows and enables safe, auditable cross-functional execution.

Full discovery · Readiness scoring · Audit trails

Technology

Privacy by architecture. Not bolted on after.

TNDRL captures the structure of work, not the underlying business data. Process metadata, decision points, and timing are analyzed. PII, financial data, and health records never leave your perimeter.

RAW DATA — ON PREMISES ONLY SANITIZED PROXY METADATA Zero PII NEVER TRANSMITTED

Layer 1: Metadata Only

Application names, field names, timing, decision logic, workflow variants. This is what TNDRL analyzes. Zero PII. Zero data content.

Layer 2: Sanitized Proxy

Values stripped. Patterns preserved. Used only for accuracy validation in air-gapped environments. Optional.

Layer 3: Raw Data

Stays on-premises only. Never transmitted to TNDRL. Available for high-security environments that require local processing.

Designed for regulated environments
On-premises deployment available

Company

The Control Plane for Enterprise Workflows

TNDRL was founded because enterprises are deploying AI agents into workflows they do not fully understand, with no system of record and no runtime governance layer. We built both: the Workflow Twin and the control plane that governs execution as work changes.

01 AI Is Ready

LLMs and multi-step agents can now handle complex, branching workflows. But they need clear specifications and guardrails. TNDRL provides both.

02 Cost Pressure Is Real

Labor costs are rising. Enterprises face increasing pressure to automate meaningful portions of operational work while maintaining control and compliance. TNDRL finds the safe path.

03 Regulation Is Pushing It

Regulators across industries are watching AI adoption closely. Auditable, validated Governed Workflows with enforceable policies aren't optional — they're coming.

04 No Control Plane Exists

Enterprises deploy agents with no system of record for what happens after go-live. No drift detection, no runtime policy, no operational governance.

Market Validation

Source: Gartner, McKinsey, Deloitte automation surveys

82%
of enterprise leaders cite process knowledge as their top automation blocker
76%
of RPA implementations fail because they didn't capture all process variants
85%
of enterprises expect audit-ready documentation for automated workflows
79%
would pay a premium for validated, drift-detected automation

Investors: Request our seed brief →

Get Started

See TNDRL in action.

See how the control plane works

Watch TNDRL build a Workflow Twin from a real enterprise workflow — then promote it to a governed runtime and monitor drift continuously. No slides. Working product. Evaluated against representative enterprise workflows.

Ready to explore your workflows?

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