AgentMesh.help
Freemium
Developers integrating AI agents into task workflows
Most AI assistants give every employee the same generic interface — no memory of their inbox, no context about their accounts, no connection to the tools where the work actually lives. Botchi is built around the opposite assumption: one governed system where each teammate gets a personal assistant scoped to their context, and specialist agents run repeatable workflows autonomously.
The core model is a 'swarm' of assistants and agents sharing the same company knowledge base, tool credentials, and approval layer — controlled from a single dashboard. A support agent touches tickets; a finance agent touches sheets; nothing crosses the boundary you set. Agents run on schedules, trigger from events, and write back to PDF or PNG when the output is a document. The self-improving loop is the differentiator the vendor leans on hardest: agents log what your team approves, edits, or rejects, and sharpen their behavior over time without retraining. Specialist agents are a paid-only feature, so teams that want more than one scoped agent hit that wall immediately.
Bottom line: Bet on Botchi when you need governed, tool-connected agents with an audit trail and approval layer across a team — but plan around the paid-only specialist agent tier if your workflow requires more than a single general assistant from day one.
The same assistant, just for you. Memory, tools and a voice.
For teams. Shared knowledge, specialist agents, roles and approvals, run from one web dashboard.
For organizations. Everything in Business, tailored to your organization, with custom build-outs and the privacy controls you need.
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Freemium
Developers integrating AI agents into task workflows
Paid
Teams replacing Datadog, PagerDuty, and Wiz with a single agent
Botchi positions itself as a ‘Company Intelligence Runtime’ — a single governed platform that issues every teammate a personal AI assistant while also running specialist agents for sales, support, ops, and other functions. The personal assistant connects to an individual’s inbox, calendar, and tools; the specialist agents connect to scoped knowledge bases and tool sets defined by the company. Routing is plain-language: you describe the job, Botchi identifies the right specialist, delegates, and returns a finished answer. Scheduled automations run the same deterministic steps on a timer and log every action for audit.
The differentiating architecture is the control layer. Tool credentials, knowledge bases, roles, and approval gates all live in a company dashboard — not in individual user settings. A support agent can be granted access to Jira and HubSpot but blocked from Drive and Stripe. When an agent produces output, the team can approve, edit, or reject it, and the system records that signal to adjust future runs. The vendor describes this as self-improvement without retraining — the agent learns from the team’s actual decisions.
Botchi fits teams that need to govern AI access carefully: financial or legal teams who need scoped tool access and audit trails, support teams automating triage-to-escalation flows, or sales teams who want an agent prepping call briefs from Gmail, Drive, Calendar, and HubSpot in sequence. It fits less well for teams that want to run everything locally — there is no self-hosted option — or organizations that need heavy conditional branching between agents, which the routing model the vendor describes handles at a high level but does not expose as a visual workflow builder.
The integration list the vendor documents includes Gmail, Outlook, Google Calendar, Drive, OneDrive, Google Sheets, Excel, Google Slides, Teams, OneNote, Notion, Google Maps, GitHub, Linear, Jira, Confluence, Asana, HubSpot, Stripe, PayPal, Canva, Supabase, Sentry, and Vercel — plus MCP connectors for code and project tools. Document output renders to PDF or PNG. Web search returns citations; the vendor states no hallucinated links.
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