Company knowledge
Agents answer from the files, playbooks, policies and account context your team has approved, not from a generic web guess.
Resource
Autonomous agents that work with control.
An autonomous agent should not be a loose chatbot with a login. It needs scoped company knowledge, approved tools, human approvals, audit trails and workspace-level billing before it starts doing real work.
Sales Agent
Sales
Gmail
Calendar
Drive
Sheets
Pricing playbook
Case studies
Renewal SOP
Ask before sendTool policy
Reading and drafting are automatic. Sending an email waits for a human approval — every time.
Definition
What makes an autonomous agent ready for a business team?
A business AI agent is useful when it can act inside the same context as the team, but only inside the boundaries the company sets. The agent needs enough access to help, and enough control to stay reviewable.
Scoped tools
Each agent gets only the tools it needs for its job, with per-tool policies such as read-only, ask first, automatic or off.
Human control
Sensitive actions can wait for approval before an agent sends, edits, files, pays or changes something in a connected system.
Account governance
Roles, account-owned credentials, audit logs, billing and budgets live at the workspace level instead of inside one person's login.
Control model
The agent gets a job, not unlimited access.
Teams can delegate more work when access is explicit. Botchi separates who can use an agent, what the agent knows, which tools it can touch and which actions need a human decision.
01
Workspace roles decide who can view, edit or govern the account.
02
Agent instructions define the specialist's domain and operating style.
03
Knowledge grants decide which files and company context the agent can use.
04
Tool policies decide when an action is automatic, read-only or approval-gated.
05
Run logs and cost tracking make activity reviewable after the work is done.
Examples
Specialist agents by function.
Each function can have a specialist with different knowledge, tools, approvals and operating rules.
Prepare renewal calls
Pull account history, usage, pricing, open tickets and case studies into a briefing, then draft the follow-up proposal.
Draft routine replies
Use help docs and policies to prepare answers in the team tone, while edge cases stay queued for review.
Run repeatable workflows
Follow a deterministic step list for onboarding, reporting or weekly routines, with every run attributed and auditable.
FAQ
Questions AI buyers ask early.
What is an autonomous agent?
An autonomous agent is a specialist assistant that can use approved company context and connected tools to complete business work for a role, function or workflow.
How is this different from a chatbot?
A chatbot mainly answers inside a conversation. A business agent can be given scoped knowledge, credentials and tool permissions so it can prepare documents, update systems, schedule work or delegate steps while staying within account controls.
Why do teams need approvals?
Approvals let a company separate low-risk work from sensitive actions. An agent can draft, research and prepare automatically, while sends, edits, purchases or external updates can require a human review.
Can each department have its own agent?
Yes. Sales, support, operations, finance, legal or marketing agents can each have different instructions, knowledge, tools and approval policies.