How Hive works, what is live today, and how your data is handled. If your question is not here, ask us directly.
Hive installs alongside the tools you already run. There is no migration and nothing to rip out. Most teams begin with a single workflow and see real work completed within the first week.
You authorise the tools that run the business, 600+ integrations, and any other system over MCP. It takes minutes and no engineers. Access is scoped per tool and read-only by default.
Hive maps the objects that run the business and how they move between tools, building your Hive Mind. It then completes the routine work and asks for a person where judgement is required, you decide what it acts on, asks about, or escalates. Every action writes to context you own, so Hive compounds from doing the work, not just from indexing documents.
Two layers are live from day one: the Intelligence layer and the Execution layer (human-in-the-loop). Broader autonomous orchestration is on the roadmap, and the Agent Marketplace follows in 2027.
Connect your stack and ask anything across it in plain language. Hive answers with live facts from your tools and their sources, and builds owned, compounding memory of how the business works. No SQL, no dashboards.
Hive runs routine tasks end to end, reconciling, chasing, drafting, updating records, once you open the permissions for it, entirely on your terms. Every action is approval-gated, auditable and reversible. The depth of what Hive executes is governed by the access you grant, and nothing more.
Every request becomes either an answer grounded in real data, or an action gated by your approval. Seven steps: understand the request, remember (your Hive Mind), look up live in your tools, answer with real facts and sources, or plan into clear actions, get your approval, and execute with a receipt.
A fallback at each step is what makes it survive a real business: Hive knows two ways to find things (by meaning, then direct lookup), time-boxes live lookups and falls back to memory, abstains rather than guessing, routes risky actions to a person, and surfaces the real reason when something fails.
Every action produces a structured record: what was done, the figures, the status and the source trail. Each one is logged, auditable and reversible.
Work is scored by confidence and routed: acted on when certain, raised for approval when not, escalated when it exceeds policy. Anything consequential waits for a person.
A live model of the business, customers, deals, invoices, payments, tickets, contracts, and the events that move them across every connected tool. It is how Hive knows how the business actually works, not only what it can read at a point in time.
Memory is execution-derived: decisions, workflows and exceptions are recorded and versioned, each traceable to its source. It compounds from doing the work rather than from indexing alone, which is what makes it specific to your business and hard to copy.
Everything Hive reads is treated as untrusted, credentials are vaulted, egress is locked, access is read-only by default, and there is a master kill switch and a contact allow-list. More on the Security page.
600+ integrations today, and any other system over MCP, the open standard that lets one integration pattern serve every tool. Messaging & email (Slack, Gmail, Outlook, WhatsApp), CRM & pipeline (Salesforce, HubSpot), finance & billing (Stripe, QuickBooks, Xero), support (PagerDuty, Intercom) and more. Browse all integrations.
The complete reference is provided when your pilot begins: the connector reference, API & webhooks, admin & permissions, and the approvals model in full. Questions before then: hello@get-hive.ai.