This isn't one chatbot bolted onto your website — it's a set of specialized AI agents, each scoped to a specific function, working with the tools you already use. One qualifies leads. Another handles support tickets. Another keeps your CRM accurate without anyone touching it. Together, they run the repetitive parts of your business so your team can focus on the parts that actually need a human.
How an agent gets built
Map the workflow
We start with one real process — the one eating the most manual hours — and map exactly what it takes to complete it.
Build the agent
Connected to your actual tools (CRM, calendar, inbox, database), with clear boundaries on what it can do autonomously.
Add approval gates
Sensitive actions get a human checkpoint until you trust the output — full audit logs on everything, always.
Expand from there
Once one agent is proven, add the next. Most teams grow their AI agents one working agent at a time, not all at once.
Meet the twelve agents
Revenue
Sales Agent
Qualifies inbound leads against your criteria, books meetings directly on your calendar, and follows up automatically so nothing falls through.
Growth
Marketing Agent
Drafts on-brand content, monitors SEO performance, and manages campaign optimization across channels.
Retention
Customer Support Agent
Resolves common questions instantly from your knowledge base, and hands off to a human the moment a case needs one.
Efficiency
Operations Agent
Runs multi-step internal workflows end to end and keeps reporting up to date without manual data entry.
Money ops
Finance Agent
Generates and tracks invoices, reconciles payments, and flags expense anomalies before they become a problem.
Insight
Analytics Agent
Keeps dashboards live, tracks the KPIs that matter to your business, and forecasts trends from real usage data.
Intel
Research Agent
Continuously scans for competitor moves and market shifts, summarizing what's actually relevant to your strategy.
Relationships
CRM Agent
Keeps your CRM accurate automatically — updating records, nurturing leads on schedule, and surfacing customer history when it matters.
Scheduling
Appointment Agent
Handles the back-and-forth of scheduling, manages calendar conflicts, and sends reminders so no-shows drop.
Outreach
Email Agent
Drafts and sends outreach, triages incoming email, and drafts replies for review — an inbox that mostly runs itself.
People
HR Agent
Screens applications against your criteria, coordinates interview scheduling, and runs new-hire onboarding checklists.
Presence
Social Media Agent
Schedules and publishes content across platforms, tracks engagement, and flags what's actually resonating.
Common questions
Is this different from a chatbot?
Yes — a chatbot answers questions; an agent takes multi-step action toward a goal (booking a meeting, updating a record, sending a follow-up), using real tools connected to your systems.
Can we start with just one agent?
That's what we recommend. Prove value on one workflow, then expand — rather than trying to automate everything on day one.
What stops an agent from making a costly mistake?
Approval gates on sensitive actions, full audit logging on everything it does, and clear boundaries on what's autonomous versus what needs human sign-off.
How long does it take to deploy one agent?
Most single-workflow agents go from kickoff to production in a few weeks, depending on how many systems it needs to integrate with.