R

Runshift

Runshift is an Agent Control Plane for production. It lets teams operate multi-AI-agent systems with confidence by gating critical actions, enforcing human approval, routing requests and keeping a full audit trail.
Rating:
5
Visit Website
RunshiftAgent Control PlaneAI agent governanceAI approval workflowmulti-agent orchestrationAI audit logSlack AI approvals

Features of Runshift

Trust Gates pause agents before critical or irreversible actions and route them for human approval
Connect external or self-hosted agents via the AMP protocol and manage them from one governance layer
Approve or reject requests from the web dashboard or directly inside Slack
Capture full audit context: action, approver, timestamp, outcome and cost
Relay acts as the central hub, orchestrating commands, approvals and audit streams
Use Roster, Deck and Relay views to inspect agent health, status and runtime stats
Turn past approvals and outcomes into data-driven policy improvements
Works with any model or agent architecture so you can centralize control and focus risk

Use Cases of Runshift

Require human sign-off before a code agent pushes repo or config changes
Let an ops agent queue marketing emails or workflows until a manager approves in Slack
Monitor status, cost, changes and failures for dozens of business agents in one place
Keep your own agent infrastructure and plug it into unified governance through AMP
Handle approvals without leaving Slack, cutting context-switching and speeding up release cycles
Review historical decisions to tighten rules and optimize future agent behavior
Move from PoC to production with a clear, traceable execution and accountability log

FAQ about Runshift

QWhat is Runshift?

Runshift is a control plane built for running multiple AI agents in production. It provides pre-execution governance, approval routing and full audit logging.

QWill Runshift replace my agent execution engine?

No. Runshift governs and controls agents; it does not replace the engines that actually run them.

QHow does Runshift handle high-risk actions?

Agents hit Trust Gates before critical steps. Runshift routes the request to a human, then returns pass, reject or hold.

QCan I connect my existing agents?

Yes. Use the AMP protocol to plug external or self-hosted agents into Runshift without changing your current stack.

QWhere can approvals be handled?

Right inside the Runshift dashboard or via Slack messages—no extra tools needed.

QWhat audit data is captured?

Action context, approver identity, timestamp, final outcome and associated cost are all logged for full traceability.

QIs Runshift suited for multi-agent collaboration?

Absolutely. It’s designed to give unified control, visibility and governance across any number of agents.

QWhere can I find pricing or edition details?

Pricing and edition info aren’t listed here; contact the Runshift team or visit the official site for specifics.

Similar Tools

Runbear AI

Runbear AI

Runbear AI is a no-code/low-code AI agent creation platform that quickly connects large language model-based applications to collaboration channels like Slack and Teams, helping teams automate work requests and information flow, and boosting collaboration efficiency.

R

RuntimeAI

RuntimeAI is an enterprise-grade security and governance platform for AI agents. It unifies identity, policy, audit and incident response so teams can manage risk and cost in real time.

i

iAgentic AI

iAgentic AI is an enterprise-grade AI control plane for decision governance—unifying policy enforcement, approval workflows and audit trails across multi-model, multi-system environments.

M

MarqXAI

MarqXAI is an enterprise-grade unified business + AI operating platform that stitches together scattered data, automates processes and delivers full audit trails—so teams move faster, stay compliant and make better decisions.

C

CentralCommand

CentralCommand is an AI-powered control plane for operations: agents propose, humans approve, and every step is executed under end-to-end audit trails—giving enterprises governed automation with full transparency.

A

AI Agent Governance

AI Agent Governance is an enterprise-grade governance platform built for large-scale agent deployments. It delivers governance, observability, compliance and audit capabilities so organizations can run autonomous agents across any system—safely and in full control.

S

SupervityAI

SupervityAI is an enterprise-grade Agentic Workflow platform that orchestrates AI workers and business systems to automate cross-department processes and drive operational collaboration.

A

AgentAnchorAI

AgentAnchorAI is an enterprise-grade governance platform for AI agents, delivering pre-execution gatekeeping, dynamic authorization and full audit trails—so teams can run multi-agent workflows with built-in risk controls.

A

AControlLayer

AControlLayer is an enterprise-grade control plane for AI agents. It unifies policy, permissions, audit and observability, letting teams move from pilot to production without rewriting their runtime stack.

R

Runlayer

Runlayer gives enterprises a single console to govern MCPs, Skills, and Agents—tying identity, policy, audit, and runtime-risk controls together so teams can roll out AI Agents with confidence.