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AlfoAI

Agent Workforce

An AI agent workforce for the routine work

An agent workforce is a set of AI agents, each with one job, working together on a workflow from intake to follow-up. One sorts, one drafts, one files, and you approve the exceptions. It fits teams buried in repetitive admin across email, tickets, and scheduling. Included: agent design, shared memory, human approval steps, and a full audit trail. Cost depends on the number of agents and systems involved.

Transcript
  1. 01 · Monday, 8:02 am. Six requests land in the shared inbox: Charged twice this month. Quote for a 12-person team. Can't log in to the portal. You won a free cruise. Book a demo next week. Can we talk Thursday?
  2. 02 · The agents. The Sorter tags every item: Billing, New lead, Support, Spam. The Drafter writes the replies: Hi Sam, I reset your portal access. The Scheduler books the meetings: Demo Tue 11:00 am, Call Thu 2:00 pm. Example.
  3. 03 · Your call. Money waits for your approval. Needs your approval: $450 refund to Jin Park. Approved by you. Refund sent, reply delivered. Example.
  4. 04 · The record. Every action logged, with the time. Audit trail, today. 38 items handled. 1 needed you. Example.
  5. A team of agents. You approve the exceptions. Book a consultation. hello@alfoai.com
A 27-second example. Names and numbers are illustrative.

How it works

Inbox, Tickets, Calendar goes in. Triage agent sorts by urgency. Drafting agent writes the replies. You approve the one that needs a human. Result: Audit trail, Every action logged.

Inbox
Tickets
Calendar
  1. Triage agent sorts by urgency
  2. Drafting agent writes the replies
  3. You approve the one that needs a human
Audit trailEvery action logged
Example: a morning of support requests

What you get

Role-Based Agents

Dedicated agents for intake, research, scheduling, follow-up, data entry, and document processing.

Agent Collaboration

Agents pass context to each other seamlessly, so multi-step workflows run without human intervention.

Memory & Context

Agents remember previous interactions, client history, and preferences for personalized service.

Human-in-the-Loop

Set approval gates for high-stakes decisions. Agents do the prep work; humans make the final call.

Event-Driven Automation

Agents trigger actions based on events: new lead, missed appointment, contract expiring, task overdue.

Full Audit Trail

Every agent action is logged with timestamps, inputs, outputs, and reasoning for compliance and review.

Who this is for

You will recognize yourself in at least one of these.

Industries we build this for

Questions people ask

How is this different from simple automation (like Zapier)?

Tools like Zapier handle linear, rule-based automations: "if X, then Y." AI agents can reason, make decisions, handle ambiguous situations, and adapt to context. They do what a smart employee would do, not just what a flowchart prescribes.

Can agents work with our existing software?

Yes. Agents integrate with your CRM, email, calendar, document management, and any system with an API. We also support browser-based automation for legacy systems without APIs.

What if an agent makes a mistake?

You set the guardrails. For high-stakes actions we require human approval. For routine tasks, agents operate autonomously with full audit logging so you can review any action.

How many agents do we need?

Most businesses start with 2-3 agents for their highest-volume workflows and expand from there. We help you prioritize based on time savings and ROI.

Want this running in your business?

Book a free 45-minute workflow audit. We will tell you what it takes and what it costs.

Book a consultation