How MOTA Works: Plan, Validate, Execute, Audit

First, some history

Your business already runs on workflows.

Every enterprise encodes its work as workflows: order-to-cash, quote-to-cash, case-to-resolution. They are the operating system of the business, and they have carried a completion standard for decades.

1980s

Workflow becomes software. ERP, CRM and workflow systems encode the steps work must follow, with owners, approvals and handoffs.

1990s

Banking sets the bar. Straight-through processing, STP: the share of work that finishes end to end with no human touch.

2000s

Automation is held to it. Rules engines, BPM and later RPA had to pass the STP bar before they were trusted in production.

Today

AI agents join the same workflows. The bar has not moved. Completion, not activity, is still the measure.

MOTA exists so agentic AI can meet the standard your workflows already run on. The four stages below are how.

The four stages

Plan. Validate. Execute. Audit.

Stage 1

Plan

Intent becomes an explicit plan: steps, dependencies, data touchpoints. The plan exists before anything runs, so it can be inspected, constrained, and approved.

Stage 2

Validate

Each step is checked against your rules, schema, and policy gates before it fires. The rules are enforced deterministically rather than left to a model's judgment in the moment.

Stage 3

Execute

Steps fire in sequence through Agentforce: get_account() → check_entitlements() → update_case(). Anything unexpected pauses and escalates to a human. State persists across sessions and failures, so a three-day flow resumes instead of restarting.

Stage 4

Audit

Every decision, call and data access is logged in plain English, in a record your compliance team can read in one sitting.

What stage 4 produces, printed the way audit was born:

MOTA EXECUTION RECORD                            RUN 00124-2026-07-11 · PAGE 001
WORKFLOW  REFUND REQUEST · CASE #00124           RUNTIME  AGENTFORCE VIA MOTA
──────────────────────────────────────────────────────────────────────────────
14:02:11  INTENT PARSED       "duplicate charge of $800 … refund"          OK
14:02:12  PLAN GENERATED      5 TASKS · 1 POLICY GATE                      OK
14:02:12  RULE CHECK          REFUND POLICY v3.2 · NO VIOLATIONS           OK
14:02:14  get_invoices()      2 RECORDS · INV-88231 · INV-88240            OK
14:02:15  compare_lines()     LINE ITEMS MATCH · DUPLICATE CONFIRMED       OK
14:02:15  POLICY GATE         $800 UNDER $5,000 LIMIT · DAY 12 OF 30       PASS
14:02:17  issue_refund()      $800.00 CREDITED · ACCT ····2214             OK
14:02:18  update_case()       STATUS → RESOLVED · CUSTOMER NOTIFIED        OK
14:02:18  AUDIT SEAL          RECORD COMMITTED · HUMAN-READABLE            SEALED
──────────────────────────────────────────────────────────────────────────────
FLOW COMPLETE · 7.2 SECONDS · EVERY DECISION READS BACK, LINE BY LINE

The rigor your auditor grew up with. Every MOTA run commits a record like this one, readable line by line.

The three guarantees

How the architecture maps to completion.

Guarantee	What delivers it	How you measure it
Reliably complete	Pre-validated symbolic plans; deterministic execution paths, so the same intent produces the same plan every time	Completion rate · run-to-run consistency · human override rate
Durably complete	Persistent plan state; pause-and-resume across sessions, failures, and multi-day handoffs	Workflow survival rate · recovery from step failure
Provably complete	Human-readable audit log committed at every step; policy gates recorded with outcomes	Audit coverage · time-to-answer for compliance queries

Deployment

Built for your stack, not ours.

Works with your Agentforce licence

MOTA works alongside the licence you already hold. The same agents finish more flows.

Your infrastructure, your data

Deployed on your infrastructure. Nothing leaves your environment.

Production in weeks

Early adopters ship their first production workflow with our founding team in weeks, not quarters.

API-first today, MCP-native tomorrow: the same planning layer extends to ServiceNow, HubSpot, and SAP as the ecosystem standardizes on Model Context Protocol.

Apply for early access