[ 02 / AI Workforce ]
Specialized agents that talk to your visitors, qualify prospects, book appointments and hand important cases to your team.
Deploy my agents↗
Machine identity cards — not a public unattended chat. /.well-known/agent.json · roster · llms.txt
Live AI activity
09:12Leo qualified a 72-employee prospect
09:04Mia escalated a complaint to the team
08:47Ava awaiting approval: 3 LinkedIn posts
Five agents. Five jobs.
01.
AI Sales Agent
Qualifies prospectsRecommends productsBooks appointments
Output: lead card + score + recommended action
02.
AI Support Agent
Answers customers 24/7Uses business knowledgeEscalates complex cases
Output: answer, classified ticket, escalation
03.
AI Concierge
Guides visitorsAnswers questionsRecommends services
Output: guided journey, recommended service
04.
AI Appointment Agent
Qualifies usersChecks availabilityBooks meetings
Output: confirmed meeting + reminder
05.
AI Product Advisor
Understands customer intentRecommends the right productIncreases conversion
Output: recommendation + assisted basket
[ Architecture ]
How the agents work together.
Before the client
Visitor
AI website
AI qualification
CRM
AI sales agent
Proposal / meeting
During the engagement
Client onboarding
Business analysis
Digital strategy agent
Website · SEO · Content
Social · Leads · CX
Execution and loop
Human approval where required
Publish / execute
Analytics agent
Continuous optimization
Every step distinguishes recommendation, draft, approved action and executed action.
Automatic
Research, analysis, drafts, reporting, SEO recommendations.
Approval required
Publishing, campaign emails, key website content, high-value prospects.
Restricted
Financial operations, legal commitments, critical data, permissions.
[ 10 / CTA ]
