ARCHITECTURE
Six layers between a business process and your data.
For technical stakeholders: how KALOPS lets AI agents execute real business processes without giving up organizational control.
Business processes
Tender-to-Submission, Quote-to-Close, Lead-to-Meeting, Meeting-to-Action and custom processes — the outcomes the platform exists to deliver.
AI agent layer
22 specialized agents built on a common agent base: persona, tools, budgets, guardrails and per-tenant configuration. Agents collaborate over an internal message bus with priorities and hand-offs.
KALOPS Agentic Control Plane
The governed core: orchestration and workflow state machines, organizational memory, permissions, human approval queues, policies, triggers, escalation paths and full audit logging.
Tool & integration layer
Validated tools with typed schemas connect agents to email, WhatsApp, calendars, telephony, documents, finance and external APIs. Write-capable tools can require approval before execution.
Model layer
Tasks route to the most suitable AI model per task class, with a multi-provider fallback chain so a single provider outage does not stop the business.
Data & systems
Your CRM, ERP, mailboxes, databases, documents and legacy systems stay where they are. KALOPS reads and writes through governed connectors — it does not replace your infrastructure.
DESIGN PRINCIPLES
Why it holds up in production
Event-driven
Emails, messages, webhooks, schedules and system changes trigger processes — not just chat prompts.
Deterministic where it matters
Workflow state machines control multi-step sequences; the model reasons inside steps, not about whether steps happen.
Least privilege
Agents get scoped identities, tool allowlists, budgets and rate limits.
Human in command
Approval gates on write actions; staged autonomy per action class; instant revocation.
Don't start with AI.
Start with the process costing you time.
We'll identify one or two high-value processes, connect KALOPS to the systems involved and measure the result over 30 days.