Deploy production AI agents your team can trust and audit.

Hookshot provides a unified workspace for Ops, PMO, Risk, IT, and Marketing to build, operate, and audit AI agents on live systems, with run-level evidence for every decision. Review its layers, capabilities, workflows, integrations, and audit controls.

Hookshot™ dashboard for event-driven AI agents — live agents with model pins, tools, runtime, and status.

Product

A single workflow for those who build, operate, and are accountable for AI agents.

Build with engineering or PMs, operate with Ops and PMO, and govern with Risk, IT, and Audit, all without managing multiple tools or searching through logs.

01 — Build

Define agents in plain language and approve them before launch.

Engineering and PMs describe the job once. Hookshot drafts triggers, tools, and guardrails, enabling Ops, IT, and Risk to review, test, and validate before deployment.

Capabilities

Controls are accessible to every team involved in the process.

Designed to help Ops triage quickly, PMOs verify actions, Risk and IT manage change, and Marketing route work through agents with full traceability.

Immutable Event Feed

Every inbound webhook, OAuth event, or MCP message is recorded in a tamper-proof feed. Teams can inspect raw payloads and access triggered runs to debug using factual data.

Staged Agent Builder

Describe, plan, configure, validate, and deploy. Hookshot™ proposes the setup, while Ops, IT, and Risk validate with Engineering using realistic test inputs before production release.

Model-Agnostic

Assign agents to GPT, Claude, or open-source models. Swap models without rewriting workflows, allowing teams to optimize for quality, speed, or cost as needed.

Integration Readiness States

Integrations are labeled as Connected, Needs Setup, Degraded, or Unsupported. Trigger access and tool access are tracked separately, enabling operators to identify integration risks before they impact runs.

Teaching Notes

Operators attach run-level feedback on what should have happened and what context was missing. That feedback rolls into fleet-level patterns to improve reliability, not just one-off fixes.

Read vs. Write Visibility

Each tool call is labeled as read or write, enabling Risk, Audit, and IT to verify action scope efficiently during reviews and incident response.

Teams

Designed for operators and supports teams across your organization.

Each team receives a dedicated workspace with integrations for existing tools, connected workflows, and managed automation for SLAs, delivery, risk, service desks, and campaign operations.

Operations

Tasks such as account openings, onboarding, and internal requests can accumulate rapidly. Hookshot™ automates these handoffs and maintains a clear record of each completed step.

Project management

Manual status tracking across tools is no longer necessary. Hookshot™ automates handoffs between your team's systems and provides clear visibility into every process.

Program management

Large programs require comprehensive records, not just screenshots. Hookshot™ captures decisions in real time, providing reliable documentation for reviews and audits.

Risk operations

When AI operates on live systems, a complete audit trail is essential. Hookshot™ logs every action taken or skipped, ensuring compliance teams have full visibility.

IT help desk

Support queues can grow faster than teams can manage. Hookshot™ handles repetitive triage with agents operating in preview mode before implementing changes in production.

Marketing

Every campaign requires approval before launch. Hookshot™ routes assets through approval steps and maintains a timestamped record of all approvals, changes, and launches.

Workflow

From incoming event to governed action.

Connect once, define behavior in plain language, and monitor every outcome. Engineering, Ops, and Risk all access the same record.

Step 01

Connect

IT and Ops integrate GitHub, Slack, Linear, or any webhook. Hookshot™ separates trigger access from tool access, allowing teams to control what agents can view and what they can modify.

Step 02

Define

Engineering and PMs describe an agent's job in plain language. Hookshot™ proposes integrations, tools, and edge cases, after which operators configure the model, prompt, schema, and runtime guardrails.

Step 03

Watch & Govern

Risk, Audit, and Ops can review every run and non-run decision, all of which are captured for review, coaching, and post-incident analysis.

Step 01

Connect

IT and Ops integrate GitHub, Slack, Linear, or any webhook. Hookshot™ separates trigger access from tool access, allowing teams to control what agents can view and what they can modify.

Step 02

Define

Engineering and PMs describe an agent's job in plain language. Hookshot™ proposes integrations, tools, and edge cases, after which operators configure the model, prompt, schema, and runtime guardrails.

Step 03

Watch & Govern

Risk, Audit, and Ops can review every run and non-run decision, all of which are captured for review, coaching, and post-incident analysis.

Integrations

Control both incoming data and the changes agents can make.

Each service can function as event ingress, action surface, or both. IT and Risk monitor connection status in real time, enabling them to scope, isolate, or revoke access before issues escalate.

Enterprise

Build trust through transparent evidence, not opaque processes.

Decision logs, along with run-level cost, token, and elapsed-time evidence, provide the information risk officers, auditors, and security reviewers require, available on demand.

Decisions & non-runs

Every decision is logged, including non-runs with documented rationale, ensuring audit-ready review.

Full run trace

Input, output, tools, step history, cost, and token usage are recorded for rapid root-cause analysis.

Read vs write

Read and write visibility is provided for every tool call, enabling reviewers to verify action scope efficiently.

Failure intelligence

Each outcome is classified for failure, allowing early identification of recurring reliability risks.

Compliance & retention

SOC 2 Type II ready, GDPR aligned, and configurable retention controls for compliance workflows.

Teaching notes

Run-level Teaching Notes convert operator feedback into repeatable system improvements.

Fleet health

Fleet-level health views help teams prioritize remediation efforts.

FAQ

Common questions.

Operators across the business use Hookshot™. Operations and PMO debug runs and triage incidents; Program Management and Risk access decision logs and audit trails; IT scopes integrations and validates changes; Marketing routes campaign work through governed agents. Engineering and technical PMs build agents in the Builder, while other teams use Operate and Govern.

Hookshot™ is purpose-built for AI agent operations. Its core components—agents, triggers, tool permissions, decisions, and Teaching Notes—are designed for managing LLM-based agents on business systems, rather than general task automation. Every feature supports operators in building, monitoring, and governing AI agents with confidence.

The Event Feed is an append-only log of every inbound event to your workspace, including webhooks, OAuth events, and MCP messages. Immutability ensures a truthful record of all entries, regardless of agent actions. This serves as the foundation for auditability.

Trigger access allows a service to send events into Hookshot™ (inbound). Tool access allows an agent to call that service's actions during a run (outbound). A service can have one, both, or neither, and Hookshot™ clearly displays this distinction for every integration.

MCP (Model Context Protocol) servers are the mechanism by which agents call tools during a run. Hookshot™ supports both managed MCP servers (pre-built integrations) and custom or self-hosted MCP servers that you attach directly. Tool permissions are configured per agent.

An agent in Hookshot™ functions as an automated teammate with defined rules, permissions, and behaviors, rather than as a chat persona. You configure when it runs, what it can access, what actions it can take, and what constitutes acceptable output. The Decision step, where Hookshot™ evaluates whether an agent should run for a given event, is central to this policy model.

Most day-to-day users work in Operate and Govern, reviewing runs, decisions, and evidence. The Builder is designed for software engineers and technical product managers who configure agents and collaborate with operators to govern production behavior. The Builder is user-friendly: describe the job in plain language, and Hookshot™ proposes the plan. Operate and Govern provide in-depth access, with every summary linking to the underlying run.

Build with us

See Hookshot in your stack.

Request early access or schedule a live walkthrough with our team.

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Hookshot™ setup screen — AI agent workflow configuration with model selection, trigger status, and governance controls.