AI Agents for Business and Company Workflows
Bring company context and specialist AI agents into the workflows your team already runs, with tools, permissions, and approval points defined for the work.
What an AI agent does for a business
A business AI agent works toward a task using context and tools. A request might involve researching an account, drafting a content brief, checking an invoice, or preparing an onboarding checklist. The useful starting point is a specific job with clear inputs, expected outputs, and a person responsible for reviewing the result.
In Lightbulb, the Company Agent coordinates the operating request and specialist agents contribute work within their domains. Company knowledge supplies context; connectors provide access to supported tools. Access depends on the user, company, connected account, and configured permissions. Consequential actions need the approval controls required for that workflow.
Task Planning
Break a request into steps, identify the evidence needed, and prepare bounded work for the relevant specialist or reviewer.
Tool Use
Agents can be assigned a curated toolbelt of APIs, database queries, file operations, and supported SaaS connectors. Tool contracts can validate inputs and apply configured rate limits.
Memory and Context
Use available company knowledge and project context to ground the task in relevant documents, records, and prior work.
Human Oversight
Define approval gates for high-stakes actions. Agents pause execution and surface a review request to the right stakeholder before proceeding with sensitive operations.
Domain Instructions
Give specialist work appropriate instructions, tools, evaluation criteria, and review requirements for the business domain.
Coordinated Specialists
Bring specialist contributions back into a shared operating request. A multi-agent system needs clear responsibilities and review points as well as delegation.
A conversational interface for company work
An AI chatbot provides a conversational way to ask questions. A Company Agent also coordinates the context, specialist contributions, and tools needed for an operating request. For example, a conversation about a customer can produce a proposed CRM update and a draft follow-up for review. Whether a task can proceed depends on the connected systems, available data, permissions, and approvals.
Choose a business function and a bounded first workflow
Explore finance, HR, CRM and sales, content, legal, and commerce domains. Scope one workflow around the records it reads, the draft or analysis it produces, and the changes that need review. Examples include invoice checks, onboarding preparation, CRM enrichment, content planning, contract review assistance, and commerce reporting. Available tools and deployment configuration determine which steps are supported.
Autonomy with an accountable owner
The idea of an autonomous company raises practical questions about authority: who can approve a message, a system change, or a financial commitment? A useful deployment answers those questions for each workflow. Start with research, drafting, and proposals, then agree the permissions, approval points, and evidence needed before expanding execution.