RevenueTry it
AI Revenue Agent
Turn inbound demand into qualified opportunities with AI that researches context, evaluates intent and prepares the next action.
Explore system
Six working AI business systems, each wired to real AI. See how an agent understands, investigates, proposes, gets approved, executes and verifies actual work — built the way we build for production.
Explore SystemsOne system per business function. Pick one and run a real AI workflow inside it.
Turn inbound demand into qualified opportunities with AI that researches context, evaluates intent and prepares the next action.
Resolve customer issues with AI that understands context, checks policy and routes controlled actions.
Turn website conversations into qualified opportunities with an AI sales representative that can recommend and book.
Find blockers, coordinate work and move operational workflows forward with controlled AI.
Process invoices, detect exceptions and route approvals with an auditable AI workflow.
Ask what needs attention across revenue, support, operations and finance and get prioritized actions.
Every demo is a live system connected to the real AI layer (model openai/gpt-oss-20b), running against synthetic business data. Approvals, tool calls and outcomes are real workflow events — nothing here is a canned animation.
The method
Every one of the six systems runs the same loop — the same loop we deploy into client production environments.
The agent reads the request — a lead, a ticket, an invoice, an ops update — and grounds itself in the real business context.
It pulls records from the connected systems: CRM, accounts, projects, vendors. Every lookup is a visible tool call.
It weighs options against policy and impact, scores confidence, and decides what should happen next.
Consequential actions are proposed to a human. Approve or reject — nothing sensitive executes without you.
After execution the agent confirms the resulting state and logs the outcome — no silent changes.
Every agent demonstrates the controls real businesses require: human approval, action boundaries, audit trails, and verified execution.
Consequential actions require explicit authorization with full context preview.
Agents operate inside defined tool and policy limits — least privilege by default.
Every decision, tool call and action is logged and verifiable.
Book a free strategy call. We'll map your bottlenecks to the right AI systems and send a clear roadmap — even if we don't work together.
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