Northstar BI sent a 12% renewal uplift. Keep Finance, Procurement, and Legal in one thread, and do not let anything go to the vendor without approval.
AI work belongs in a
shared workspace.
SoftworkerAI turns requests, approvals, evidence, and agent activity into visible, governed business execution.
A governed workspace, not another chatbot window.
Start with a business request. Softworker routes the right agents, keeps policy checks visible, pauses for approval, and leaves evidence behind for every action.
What are you working on?
Start a governed thread. Nothing leaves Finance unless policy allows it.
Northstar BI Renewal Owner Brief
Agents
Browse governed agents, their operating volume, and the approval patterns around them.
Approvals
Authorize sensitive, consequential, external, or policy-gated agent actions.
Contract notice date, pricing schedule, utilization trend, and draft recommendation.
Statement of work, manager approval, and payment threshold policy.
Booking confirmation, statement of charge, and policy exception record.
Audit
Search, inspect, and preserve business-readable records for every run and approval.
Approval requested
Workspace policy required approval before the renewal recommendation could be posted back to the vendor evaluation thread.
AI Spend Over Time
Budget Status
Cost Breakdown
Cost figures are estimates based on token usage and provider pricing. Actual billed amounts may vary. View audit log →
Governance
Configure Members, Groups, Roles, Workspace Policy, Model Providers, Model Profiles, Model Policy, Provider Health, Knowledge Access, Approval Rules, Identity, and Audit behavior for the Finance Workspace.
Members
Manage member lifecycle, role assignments, and external collaboration boundaries.
Pending Invites
No Pending Invites
External Collaborators
Northstar Vendor
To workstream-vendor-evaluation, thread-vendor-renewal, output-vendor-brief ActivePersonal and Shared AI Inbox
SoftworkerAI centralizes business requests from Slack, Microsoft Teams, email, forms, webhooks, integrations, and direct workspace instructions. Every request arrives in one place, helping teams capture important work, assign the right AI agent or human owner, and avoid missed follow-ups.
Collaborative AI Workflow Execution
SoftworkerAI gives every piece of work a clear execution path: understand the request, route it, run the right workflow, review the result, and approve sensitive actions. This makes AI-powered work visible, controlled, and ready for real business operations.
Intent Cards and AI Triage
SoftworkerAI analyzes each request or instruction and routes it to the right Workstream, Agent, and Skill.
Collaborative Work Threads
Every task becomes a shared thread for AI agents, team members, reviewers, and approvers.
Run Trace, Evidence, and Audit Trail
SoftworkerAI shows the steps, evidence, artifacts, blockers, retries, and failures behind every AI agent run.
Human Review and Approval
Sensitive, risky, legal, financial, or external actions can pause for human approval before they are completed.
AI Kanban Task Boards
Teams can view AI-assisted work in simple stages such as Running, Waiting, and Done. Leaders can quickly see what AI agents and people are working on across departments, workstreams, and business processes.
Scheduled AI Tasks
SoftworkerAI can run recurring work such as reports, reviews, checks, follow-ups, reconciliations, and alerts. Routine business processes keep moving without constant reminders, manual chasing, or repeated prompting.
Governed AI Agents
Teams can create AI agents with clear roles, tools, permissions, memory, Skills, and approval rules. This helps enterprises scale AI adoption while maintaining governance, security, and operational control.
Extensions and Connected Tools
SoftworkerAI connects with the tools your teams already use so governed agents can retrieve context, update systems, and complete work inside approved boundaries. AI agents can work inside your existing stack while teams keep every connection governed, observable, and risk-scored.
Existing tool connections
Work can move through the systems teams already rely on instead of forcing another migration.
Governed access
Admins can keep plugin access scoped by workspace, agent role, risk level, and review policy.
Knowledge Hub for Business Context
SoftworkerAI gives AI agents and teams controlled access to company documents, policies, SOPs, process notes, and operational knowledge. Agents can work with the business context they need while respecting access controls and approved knowledge sources.
Bring Your Own LLM Provider
SoftworkerAI lets teams use their preferred large language model provider and apply model policies across workflows. Enterprises keep flexibility, cost control, vendor choice, and governance over how AI models are used.
Enterprise AI Governance and Audit
SoftworkerAI supports role-based access control, permissions, model policies, approval rules, audit logs, and output history. This makes AI adoption more suitable for enterprise standards, compliance needs, and internal risk management.
AI ROI and Impact Dashboard
SoftworkerAI tracks run volume, cost, turnaround time, approval rate, rework, and business impact. Leaders can see where AI agents are creating value, which workflows are improving, and where additional governance or optimization is needed.
Key terms in governed AI work
Plain definitions for the core concepts behind SoftworkerAI.
- Governed AI agent
- An AI agent that operates under a defined identity, scoped access, human approval gates, live supervision, policy, and audit, so it can execute real work within boundaries you control.
- AI work execution
- Moving beyond prompts and suggestions to having AI agents complete approved work across your systems, with governance built into the workflow rather than added afterward.
- Approval gate
- A mandatory human checkpoint that pauses an agent before a sensitive or irreversible action, such as sending a contract or triggering a payment, until a person approves, rejects, or redirects it.
- AI audit trail
- A complete record of an agent’s goal, plan, approvals, actions, and outcomes, captured as the work runs so every action is explainable and reviewable.