LLMs guess. MOTA plans. →

Finish what
AI starts.

AI agents answer questions. MOTA completes workflows: planned, verified, and audited. Starting with Salesforce Agentforce.

Works with the Agentforce licence you already hold. Deploys on your infrastructure.

A business flow travelling through MOTA's plan, validate and execute gates to a sealed, audited completion
58% → 35%
Agent accuracy drop from single-turn to multi-turn tasks
CRMArena-Pro · Salesforce AI Research
>40%
Agentic AI projects predicted to be canceled by end of 2027
Gartner, June 2025
<15%
Firms expected to switch on agentic features. Governance is the blocker
Forrester Predictions 2026

One query. Two outcomes.

Our standard walkthrough uses live Salesforce data. Simple queries work everywhere. Then we ask this one:

"I see a duplicate charge of $800 on my subscription. Can you refund it?"
Agentforce Builder · same result in a custom UI
Finds the invoices
Compares line items across both✗ loses the thread
Confirms the duplicate✗ asks you to choose
Issues the refund✗ unverified or not reached

The query is understood. The workflow is not completed. Someone on your team finishes it.

The same query through MOTA
Plan mapped: 5 tasks, 1 policy gate
Duplicates identified and compared
Refund gate checked against policy
Refund issued, account updated
Audit trail sealed, human-readable

MOTA maps every task before anything runs, then completes them in order. The log shows each one.

One workflow. Four correct decisions.

The same demo runs four ways. MOTA checks every request against refund policy and live Salesforce data before anything fires. Sometimes the right answer is no, and it says so.

Refund request four variants · live data Policy gate 30 / 90-day windows · $5,000 limit duplicate must exist · checked before anything fires ✓ AUTO-APPROVED $800 duplicate · in window, under limit Refund processed and logged, no human touch. ⏸ ESCALATED $7,200 duplicate · over the $5,000 threshold MOTA drafts the approval email for a manager instead. ✗ REFUSED $1,500 claim · no matching duplicate exists MOTA checks the Salesforce record and declines. ✗ DENIED $400 duplicate · four months old, outside both windows No exception, and the log says why.

Ask for the 15-minute walkthrough Live, on Salesforce data. No slides.

The problem

Even Salesforce now says agents need determinism.

Work started is not work completed. The enterprise bar is straight-through processing: work that finishes with no human touch. Generative agents have not passed it, and over fourteen months the industry said so on the record.

June 2025

The benchmark. Salesforce's own CRMArena-Pro measures agents finishing 35% of multi-turn CRM workflows.

Oct 2025

The admission. Salesforce ships Agent Script, deterministic control over agent execution, citing customers struggling in critical workflows.

Jan 2026

The verdict. Analysts tell CIO.com the determinism work now falls on customer teams, and ROI timelines stretch to match.

Today

The choice. Script determinism yourself, one workflow at a time, or run a completion layer that delivers it as a product.

"Our most sophisticated customers are struggling to keep autonomous agents on-topic in critical workflows, where unpredictable behaviour drives up operational risk."

Phil Mui · SVP, Salesforce AI Research · Oct 2025

"What Salesforce is now saying very clearly is that autonomy without guardrails is unscalable. You need deterministic controls not just to govern AI behavior, but to defend it."

Sanchit Vir Gogia · CEO, Greyhound Research · via CIO.com · Jan 2026

"Even low-frequency inaccuracies are unacceptable when responses go directly to customers. The failure mode is 'confidently wrong.'"

Jayanta Acharjee · Senior Salesforce consultant, Sitetracker · via CIO.com · Jan 2026

The evidence trail: CIO.com · Gartner · Forrester · IDC · VentureBeat · Salesforce Engineering →

Agent Script, Salesforce's answer, is in beta and hands the scripting to your team. MOTA delivers determinism as a layer instead. Read the trade press → · See it job by job →

We publish our homework. The Completion Index tracks the benchmark Salesforce went quiet on, and the calculator turns the published numbers into yours.

Explore the Completion Index Calculate your completion cost

Where MOTA sits

A governed runtime, not a replacement.

MOTA runs alongside your stack, from intent to verified outcome. It plans, validates, executes and audits in parallel with Agentforce, which stays exactly where it is.

User / customer intent
"Resolve my case and update the contract"
Salesforce Agentforce
CRM data · APIs · Atlas engine
Verified outcome + full audit trail
MOTA PLAN VALIDATE EXECUTE AUDIT alongside every step
MOTA planner · live execution
Intent parsed & decomposedpending
Plan generated & rule-checkedpending
Executing planpending
Audit log commit · human-readablepending
Starting with Agentforce. Built to travel.Salesforce Agentforce · live todayServiceNowSAPHubSpotQuickBooksroadmap · via Model Context Protocol

See how it works in detail →

What complete means

Done right, every time, with proof.

Right, every time

Reliably complete

Validated plans and deterministic execution prevent consequential steps from being improvised at runtime.

Never loses its place

Durably complete

Long-running workflows survive approvals, session changes, API interruptions, and process restarts.

Proof, included

Provably complete

Rules, branches, approvals, actions, and outcomes are captured in a human-readable execution record, ready for the EU AI Act's August 2026 obligations.

Early adopter programme

Move from AI pilot to AI production.

We're deploying MOTA with a small number of Salesforce enterprise customers. Early adopters co-design their first production workflow with the founding team and lock pricing for 24 months.

The MOTA leadership team reads every application and replies within 48 hours. If MOTA is not right for your workflow, we will say so. No sales calls unless you ask.