A workforce that scales with compute, not headcount.
Each AI employee owns one business function — with defined responsibilities, its own tools and integrations, measurable KPIs, and clear escalation to your team. Deployed on our orchestration platform, governed by approval gates, and visible on one dashboard.
AI Sales Agent
Works your pipeline around the clock — qualifying, personalizing, and booking.
- Qualify inbound leads in seconds against your ICP
- Research prospects and personalize outreach at scale
- Run follow-up sequences until a decision, not until someone forgets
- Book meetings directly into reps' calendars
CRM MCP server, email sending, calendar, enrichment APIs, call transcripts
Salesforce, HubSpot, Zoho, LinkedIn data, Gmail/Outlook, Cal.com
Speed-to-lead, qualified meetings booked, reply rate, pipeline created
Typical: 2-4x more qualified meetings from the same lead volume; speed-to-lead from hours to under a minute.
AI Marketing Agent
Plans, produces, and publishes content mapped to keywords that convert.
- Keyword and competitor research on a continuous loop
- Draft SEO content, landing pages, and campaign copy in brand voice
- Generate schema markup, internal links, and meta data
- Report on rankings, traffic, and conversions weekly
SEO data MCP, CMS publishing, image generation, analytics APIs
Search Console, GA4, WordPress/headless CMS, social schedulers
Organic traffic, keyword rankings, content velocity, cost per lead
Content output of a 3-4 person team at a fraction of the cost, with structured SEO on every asset.
AI HR Agent
Handles the repetitive half of people operations — screening to onboarding.
- Screen applications against role requirements, shortlist with reasoning
- Schedule interviews and manage candidate communication
- Run onboarding checklists: accounts, documents, training sequences
- Answer policy questions from your handbook, escalate sensitive cases
ATS MCP server, calendar, e-signature, HRIS APIs, knowledge base RAG
Greenhouse/Workable, BambooHR, Slack/Teams, DocuSign
Time-to-shortlist, candidate response time, onboarding completion rate
Screening time cut 70-80%; recruiters spend hours on people, not inbox triage.
AI Finance Agent
Keeps cash moving: invoices, reconciliation, and spend visibility.
- Generate and send invoices from closed deals automatically
- Chase receivables with polite, escalating sequences
- Reconcile payments and flag anomalies for review
- Produce weekly cash and spend summaries for leadership
Accounting MCP server, payment APIs, document extraction, email
Xero, QuickBooks, Stripe, banking feeds, ERP
DSO (days sales outstanding), invoice accuracy, close-cycle time
Clients typically cut DSO by 20-40% and reclaim a finance FTE's worth of manual work.
AI Customer Support Agent
Resolves routine tickets instantly; hands humans the context for the rest.
- Answer FAQs, order status, and account questions across chat, email, voice
- Triage and route complex tickets with full summaries
- Detect sentiment and escalate at-risk customers immediately
- Keep the knowledge base updated from resolved conversations
Helpdesk MCP server, RAG over docs, order systems, voice AI
Zendesk, Intercom, Freshdesk, Shopify, WhatsApp Business, Twilio
First-response time, resolution rate, CSAT, deflection rate
60-80% of routine volume resolved autonomously; support scales without headcount.
AI Operations Agent
Watches your workflows and fixes the drift before it becomes a fire.
- Monitor orders, jobs, and SLAs across systems in real time
- Reconcile data between CRM, ERP, and warehouses
- Trigger corrective workflows for stuck or failed processes
- Escalate exceptions to owners with a proposed fix
n8n/Temporal workflows, database MCP, alerting, dashboards
ERP, WMS, project tools (Asana/Jira), Slack alerts
SLA compliance, exception resolution time, manual-touch rate
Operations coverage becomes 24/7; exception handling drops from hours to minutes.
AI Research Agent
Turns the open web and your data into decision-ready briefs.
- Monitor competitors, pricing, and market signals continuously
- Deep-dive research on prospects, vendors, and markets on request
- Summarize industry news relevant to your strategy weekly
- Maintain a cited, searchable research memory
Web search & scraping, vector memory, summarization pipelines
Slack digests, Notion/Confluence, CRM enrichment
Brief turnaround time, coverage breadth, decision usage
Analyst-grade monitoring for the cost of software; no signal missed at 2am.
AI Executive Assistant
The chief-of-staff layer: inbox, calendar, prep, and follow-through.
- Triage the inbox: draft replies, flag decisions, kill noise
- Manage scheduling with context — priorities, travel, timezones
- Prepare meeting briefs from CRM, email history, and research
- Track commitments made in meetings and chase them to done
Email & calendar MCP, meeting transcripts, task systems, CRM
Gmail/Outlook, Google Calendar, Zoom/Meet transcripts, Slack
Inbox time saved, meetings prepped, commitments closed
Executives report 8-12 hours a week back; nothing agreed in a meeting gets lost.
AI Operations of Sales (CRM Agent)
Keeps the CRM honest — the single source of truth, actually true.
- Log calls, emails, and meetings automatically with summaries
- Deduplicate, enrich, and complete records continuously
- Flag stale deals and generate next-best-action suggestions
- Produce pipeline forecasts and hygiene reports
CRM MCP server, enrichment, transcript ingestion, analytics
Salesforce, HubSpot, Zoho, Pipedrive, call recording tools
Data completeness, forecast accuracy, stale-deal rate
Reps recover 5+ hours/week of admin; forecasts stop being fiction.
FAQ
Frequently asked questions.
What is an AI employee?
An AI employee is a specialized AI agent that owns a defined business function — sales development, support, finance ops — with its own tools, integrations, KPIs, and escalation rules. It works inside your existing systems via MCP, reports its results, and hands edge cases to humans.
Do AI agents replace our team?
In practice they absorb the repetitive 40-70% of a role — triage, data entry, follow-ups, first drafts — so your people handle judgment, relationships, and exceptions. Most clients redeploy time rather than reduce headcount, and scale without hiring for volume.
How do we measure whether an AI agent is working?
Every agent ships with explicit KPIs — speed-to-lead, resolution rate, DSO, content velocity — visible on a live dashboard alongside a full log of its actions. If the numbers don't move, you see it immediately; so do we.
Can we start with one AI employee and add more later?
That's the recommended path. Start with the function where volume and repetition are highest — usually sales development or support — prove ROI in 60-90 days, then extend the same platform, memory, and integrations to the next role.
Which role should your first AI employee take?
Tell us where volume and repetition hurt most — we'll map the agent, integrations, KPIs, and payback in one call. Or email hello@aiplusagentic.ai.
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