Tranztec
Platform

Mission Control

From manual setup to governed implementation operations. Customer implementations run as structured, auditable workflows — specialist agents do the routine work, and every change stays visible, reversible, and governed.

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Operational target

Zero human touch. Fully governed.

The stated objective for Mission Control is that the majority of routine implementation work completes without manual intervention — while all changes remain 100% visible, reversible, and governed.

How an implementation runs

Initiation

Customer implementation projects are ingested as structured Mission Control workflows with assigned tasks.

Processing

Specialist agents address workflow schemas, Tranzactor configuration, and VIA RAMP automation logic.

Governance

Every task concludes with mandatory validation and evidence attachment under defined policy.

Execution

Changes proceed via Direct Apply for routine tasks or Propose & Approve for high-impact work.

Verification

Automated verification of state changes, with continuous watching of initial live-environment runs.

The control plane for trusted automation

Three layers separate the agents' reasoning from your live systems, so nothing reaches a customer environment except through a controlled, verified gateway.

Layer 01 — Brains

Mission Control

Memory
Long-term context and schema history for agents.
Governance
Defined personalities, tool permissions, and policies.
Workflows
Visual designer for supervised-agent implementation tasks.
Audit
Complete run and activity records with evidence files.
Layer 02 — Execution

Controlled gateways

Command & Control
Outbound-only pull mechanism — no inbound network access.
Verification
Automatic state verification against internal databases.
VIA Gateway
Integration using VIA's internal machinery.
Protections
Tenant isolation and broken-rule auto-disable behavior.
Layer 03 — Targets

Customer systems

Tranzactor
Real-time configuration, events, and job management.
VIA RAMP
Board hygiene, notifications, and workflow reactions.
Isolation
Automation relies on platform-native machinery and permissions — secrets never enter the AI context.

Continuous verification loop

  1. Discover
  2. Draft
  3. Validate
  4. Apply / Approve
  5. Read Back
  6. Watch

Every change follows the same loop: discover the real state of the system, draft against it, validate before anything deploys, apply or route for approval, read the result back, and watch the first live runs.

Three specialist agents, one discipline

Live discovery, proven templates, validation before deploy, and evidence attached to every task — the same discipline applied to three different kinds of implementation work.

TrippSchema Specialist
  • Manages workflow schemas for TMS and in-cab vendor data translation.
  • Validates schema logic against sample trips and selection-logic templates.
  • Deploys via Command & Control with instant rollback to prior versions.
GageConfiguration Specialist
  • Owns the Tranzactor configuration tree: events, connectors, and jobs.
  • Discovers actual customer settings before assembling standard formats.
  • Platform-bound security: the agent never handles passwords or keys.
  • Verification is required before enabling initial runs.
TraylorVIA Automation Specialist
  • Manages VIA RAMP rules for board hygiene and milestone reactions.
  • Drafts structured recipes using native, tenant-specific vocabulary.
  • Starter packs deploy standard automations in minutes instead of days.

Structural guardrails & the autonomy ladder

Autonomy is earned, not assumed. Agents climb a graduated ladder, and some actions never leave human hands regardless of trust level.

Graduated autonomy path

  1. 4. TrustedDirect Apply

    Earned autonomy for proven change categories — zero-human-touch execution.

  2. 3. SupervisedHuman gated

    Agent-led execution requiring explicit human approval for each transaction.

  3. 2. ProposeDraft only

    Agents draft configurations with a full diff and validation evidence for review.

  4. 1. ShadowObserve

    Passive monitoring. Agents analyze live systems without modification capability.

Hard rules: mandatory human approval

Custom code injection

Any non-standard script or logic bypass requires expert audit.

Data deletions

Destructive actions are permanently barred from auto-apply.

Service restarts

Infrastructure cycling requires human operational awareness.

Disabled by defaultSecrets isolatedKill switch readyInstant rollback

What governed autonomy is for

Labor reduction

A dramatic decrease in manual implementation hours compared to the current baseline.

Onboarding velocity

Faster time-to-value from task creation to validated, deployed configuration.

Zero incidents

Targeting zero agent-caused production issues through strict validation loops.

Tranzactor Command & Control: live

Autonomy is promoted in phases: foundations first, then schema work with Tripp (the safest write category), then Gage and Traylor pilots for configuration and VIA RAMP starter packs — and only proven change types graduate from approval-led execution to Direct Apply. Governed, explainable automation across the wider platform is part of the Collaboration OS roadmap.

See Mission Control on your implementation

Walk through how a governed implementation runs — from ingested project to validated, deployed configuration.

Schedule Demo

Mission Control: governed autonomy