




An agent is a named AI worker you build for a specific job. You give it a role, attach the Skills that teach it how the work is done, and grant access only to the systems it needs.
Every agent draws on your company brain, so it acts on what your organization actually knows, your accounts, your docs, your decisions, not the public internet.
It runs on demand, on a schedule, or the moment something happens in your systems. Not a chatbot. AI that does the actual work.

Named workers built for specific jobs. Deploy on demand, on a schedule, or trigger from events in your systems. Every agent inherits governance automatically.

Packaged expertise that teaches agents how to work. Authored in plain language. Versioned and reusable: update a Skill once and it propagates to every agent, so your best ways of working compound.

Secure links to the systems where work lives. Each agent gets read or write scope per connection, never blanket access. Revoke any permission
in seconds.

Tell the builder what you need. It drafts the role, instructions, and starting Skills, ready for you to review and adjust.

Pre-built agents for PR review, deal prep, ticket triage, contract review, onboarding Q&A, and more. Live from day one.

Share an agent to the workspace and it inherits governance automatically. Admins control who can use which agent.

Pulls account history, open opportunities, and contacts before every call. No more manual CRM archaeology.

Reviews pull requests against your coding standards, flags issues, and posts feedback directly in GitHub.

Searches the knowledge base and drafts resolutions. Triggered automatically on new ticket creation.

Scans contracts against your approved clause library. Surfaces risk flags with references before review.

Answers employee policy questions, grounded in your actual HR documentation. Cites the source, every time.

Drafts on-brand content using a Brand Voice Skill built on your style guide. Writes in your voice, not a generic one.

Admins control which agents are available to which teams, and exactly what each agent can read or write.

Usage per agent: who used it, how often, which Skills ran, and what it cost. The numbers you take to budget review.

Skills carry version history. Update once and it propagates to every agent, or roll back if something changes.

Secure links to the systems where work lives. Each agent gets read or write scope per connection, never blanket access. Revoke any permission in seconds.

Who, which agent, what connector, what model, every time. Searchable and exportable, ready for an auditor.

Sensitive data is auto-detected and stripped before any query reaches a model. Configurable at the workspace level.

Bring your own keys and traffic flows directly to model providers; OrgLogic never sees, stores, or trains on it. Zero surcharge, every plan.
Across Troopr Labs
AI products.
Sanctioned tools replaced unmanaged ones.
From roughly $40K a month to $12K.
Engineers were working in it inside two weeks.