The multiplayer workspace for
humans and AI agents

A governed AI agent takes a goal you delegate and completes the work within limits you set, rather than only answering or suggesting. You hand it an objective, such as renewing a vendor contract, and it plans the steps, connects to approved systems, requests approval where required, executes, and returns an auditable record. Chatbots answer and copilots suggest, but both wait for you to act. RPA follows rigid scripts that break when a screen changes. A governed agent reasons, adapts, and completes approved work.

An agent acts only within the boundaries you define, enforced at runtime rather than by prompt. Through policies you set which integrations it may use, what data it can read or write, which actions it may take on its own, and when it must escalate. High-stakes actions, such as sending a contract or initiating a payment, can be gated behind mandatory approval, so the agent pauses and requests a decision before acting.

Every action is logged with full context, so you can see exactly what happened and why. The record covers the goal that was set, the plan generated, the steps approved, what executed, and the outcome. For high-risk workflows we recommend requiring explicit approval before any irreversible action, which removes the category of silent mistakes entirely.

Your data is processed only within the systems and boundaries you configure, and we do not train foundation models on it. Each agent runs under a defined identity with scoped credentials, connecting through the OAuth or API keys you provision with the minimum permissions needed, granted per task and revocable at any time. Your existing identity and access policies remain the source of truth.

Submit the form on this page, and if your problem fits what we are building we get on a call with your team within a week. We review every application personally, with no automated sequences. During early access we work directly with your team to configure and deploy, so you do not need engineers to begin.

Softworker is free during our early-access phase. We are working closely with a focused set of partners at no cost in exchange for collaboration and feedback, rather than charging during this stage. Standard pricing will be shared with early-access partners before any paid plans begin.

Softworker connects to the tools your team already uses through OAuth and standard APIs, so agents work inside your existing stack rather than a separate silo. Each agent is scoped to only the systems its task requires, for example a procurement tool and DocuSign for a vendor renewal, and cannot reach anything you have not explicitly permitted.

Most teams can run a first governed workflow within days, because we configure and deploy alongside you during early access. We start by scoping one high-value workflow, connect the systems it needs, set the approval gates, and run it in a supervised mode first. Scope widens from there as the agent earns trust.

No engineering team is required to begin. During early access we handle the configuration and deployment with you, and the day-to-day experience is delegating goals and reviewing approvals, not writing code. Setting policies and approval rules is done through configuration rather than development.

Sensitive steps pause and route to a person you designate, who approves, rejects, or redirects with a note. When an agent reaches a gated action it surfaces a structured request showing the goal, the proposed action, the evidence it gathered, and the downstream impact, then resumes from that decision. You decide which actions require approval and who holds that authority.

Yes, model choice is set by policy rather than left to the agent. You can define which models are permitted for which kinds of work and keep sensitive tasks on the models you approve. This keeps model behavior consistent with your security and compliance requirements.

Softworker is built for recurring, rule-bound operational work across departments such as sales, finance, HR, support, operations, procurement, legal, and IT. The best first candidates are workflows that are repetitive, span a few systems, and currently consume real staff time, such as vendor renewals, expense handling, or invoice processing. The work should have clear rules and natural points where a human should decide.

Security is built on least-privilege access, scoped per-agent identities, and a complete audit trail of every action for review. Agents use only the credentials and permissions you grant, high-risk actions can require human approval, and your existing identity and access controls remain authoritative. We are glad to walk your security team through the architecture during onboarding.

During early access we deploy and run the platform for you so you can start quickly, while keeping every agent scoped to only the systems and permissions you grant. Deployment options for teams with stricter data-residency or isolation requirements are on our roadmap. Tell us your constraints and we will confirm what is possible for your environment.