One AI workforce for the entire enterprise.
BeforeQuery is the operating system for enterprise AI. Deploy AI employees across IT, Support, Sales, HR, and Finance — powered by shared knowledge, shared skills, shared tools, and one control plane. One identity, one audit trail, one governance model.
Five layers, one platform.
Every capability BeforeQuery ships is built on the same primitives — so a new department is a configuration, not a new platform.
- 05AI Employees, Applications & Workflows
The workforce customers actually deploy — departmental agents, AI-native apps, and multi-step procedures.
- 04Agent Control Plane
The registry, identity, versions, deployment, permissions, secrets, memory, and evaluation of every agent — one console.
- 03Skills, Knowledge & Tools
Reusable capabilities, one shared context layer, and one integration catalogue that every employee draws from.
- 02Enterprise Systems
The systems your team already runs — CRM, ITSM, HR, ERP, docs, identity, cloud, code. Connected, not replaced.
- 01Security & Governance
The layer everything else sits on — RBAC, SSO, SCIM, agent identity, audit logs, approval policies, and compliance.
An AI employee for every department.
Named, permissioned, evaluated. Each employee runs on the shared platform — one agent runtime, one identity model, one audit trail.
IT Employee
- Access requests and password resets
- Software provisioning and licence checks
- Onboarding and offboarding cascades
- Device requests and IT troubleshooting
Support Employee
- Ticket classification and routing
- Customer questions from your knowledge
- Refund requests within policy
- Escalation to the right specialist
Sales Employee
- Lead qualification and enrichment
- Account research and briefing packs
- CRM hygiene and follow-ups
- Proposal drafts and meeting prep
HR Employee
- Policy lookup and answers
- Onboarding and offboarding workflows
- Leave, time-off, and benefits requests
- Employee documentation retrieval
Finance Employee
- Invoice processing and reconciliation
- Expense review under policy
- Payment requests and routing
- Finance questions from the handbook
Operations Employee
- Vendor and contract questions
- Incident response coordination
- Approval workflows across systems
- Operational reporting on demand
What's inside every AI employee.
Eleven configurable primitives. Change any one and the employee's behaviour changes — no rebuild, no redeploy.
Its own name, email, and account. Every action attributable back to it.
The system prompt that shapes voice, scope, and refusal behaviour.
The reasoning model behind it. Bring your own or use the platform default.
The corpora it reads from. Grounded, cited, and refresh-aware.
What it remembers across sessions — user, thread, or workspace scope.
Reusable capabilities. One skill can serve many employees.
The APIs, MCP servers, and enterprise systems it can call.
Multi-step procedures with branching, approvals, and retries.
Scoped access — never more than the human it's acting for.
Risk tiers that decide when a human must approve.
Continuous accuracy, cost, latency, and hallucination scoring.
Build shared. Not siloed.
The most common failure mode of enterprise AI: each team builds its own agent with its own knowledge, its own tools, its own permissions. BeforeQuery shares four primitives across every employee — so adding a new department is configuration, not a rebuild.
Skills
Reusable capabilities — search a wiki, open a Jira ticket, provision an Okta user. Build once, and every AI employee that needs it can call it.
Knowledge
One shared context layer across documents, code, tickets, and databases. Grounded retrieval, source paragraphs, and permission-aware access.
Tools
One integration catalogue — SaaS, identity, cloud, databases, MCP servers, custom APIs. Connect once, use everywhere.
Workflows
Multi-step procedures with branching, approvals, human-in-the-loop, retries, schedules, and agent-to-agent calls.
Policies decide when a human must approve.
Every action carries a risk tier. Reads run on autopilot; reversible writes route to the correct approver; destructive writes add step-up MFA on the reviewer before execution.
Read-only lookups, cited answers, non-privileged writes.
Reversible writes — CRM updates, ticket edits, calendar changes.
Destructive or privileged writes — access grants, refunds, deletions.
An AI employee should never have more access than the human it acts for.
Every action attributable. Every risky action gated.
Every AI employee, one console.
Registry, identity, versions, deployment, permissions, secrets, memory, policies, logs, costs, evaluation — the operating layer for the whole workforce.
What BeforeQuery covers.
AI Workforce
Named AI employees for IT, Support, Sales, HR, Finance, and Operations. Deploy the department; skip the build.
Agent Platform
Build and deploy custom agents. Visual builder plus SDK/API/CLI/MCP for the developer path.
Enterprise Context
Knowledge, data, memory, and permissions unified across the systems your team already runs.
AI Operations
Governance, observability, evaluation, and security — the operating layer under every employee.
Multi-step work, agent-to-agent, human-in-the-loop.
An HR event triggers an onboarding cascade. The Sales employee delegates to Engineering for a technical answer. Finance auto-approves under threshold, routes over. The platform makes it one graph, not many.
- Branching, conditions, and retries
- Approvals, delegation, step-up MFA
- Schedules, webhooks, agent-to-agent calls
- Every step logged, replayable, reversible
Deploy your AI workforce. On your terms.
Book a demo and see the platform on your own systems — one employee live in 45 days, the workforce shortly after.