Where AI Can Participate in Real Business Operations.

• Customer inquiries
• Requests and status checks
• Complaint intake
• Follow-up
• Customer-service actions
• Ticket handling

• Customer Service Agent

  Resolves routine requests end to end and escalates the rest with context.

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  Problem

  Routine requests queue behind complex ones, and answers depend on who is on shift.

  Trigger

  A message, email, or web request arrives on any channel.

  AI actions

  1. 1Identify the request and the customer
  2. 2Retrieve order, ticket, or account status
  3. 3Perform allowed changes — updates, cancellations, reissues
  4. 4Confirm to the customer in their language

  Systems involved

  • CRM
  • Ticketing
  • Order system
  • WhatsApp / email

  Human handoff

  Complex, sensitive, or out-of-policy cases go to a person with the full conversation and data attached.

  Operational outcome

  Routine volume is handled without waiting; people focus on cases that need judgement.

• WhatsApp Agent

  Turns the WhatsApp line into a channel that completes requests.

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  Problem

  WhatsApp conversations pile up and are answered manually from memory.

  Trigger

  A customer messages the business number.

  AI actions

  1. 1Understand intent and collect missing details
  2. 2Look up the customer and relevant records
  3. 3Complete the request or create the case
  4. 4Send confirmation and next steps

  Systems involved

  • WhatsApp Business API
  • CRM
  • Order / booking systems

  Human handoff

  A person takes over inside the same thread when needed.

  Operational outcome

  Consistent, immediate handling with every conversation recorded.

• Appointment Agent

  Books, reschedules, confirms, and reminds directly in the scheduling system.

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  Problem

  Booking changes consume staff time and missed appointments are common.

  Trigger

  A booking request or change arrives by call, WhatsApp, or web.

  AI actions

  1. 1Check availability and constraints
  2. 2Apply booking rules
  3. 3Create or move the appointment
  4. 4Send confirmation and reminders

  Systems involved

  • Scheduling system
  • CRM
  • WhatsApp / voice

  Human handoff

  Exceptions — special requirements, conflicts — are passed to staff.

  Operational outcome

  Bookings stay accurate with far less manual coordination.

• Lead qualification
• Prospect follow-up
• Appointment scheduling
• CRM updates
• Sales support
• Customer reactivation

• Sales Qualification Agent

  Qualifies inbound enquiries and creates the opportunity in the CRM.

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  Problem

  Enquiries arrive around the clock and qualification depends on who is available.

  Trigger

  An enquiry arrives via web form, WhatsApp, or call.

  AI actions

  1. 1Ask the qualifying questions
  2. 2Check for existing accounts
  3. 3Classify and route by segment and territory
  4. 4Create the opportunity with the captured requirements

  Systems involved

  • CRM
  • WhatsApp
  • Email
  • Calendar

  Human handoff

  Qualified leads reach a salesperson with a summary; unusual requests go to a manager.

  Operational outcome

  Every enquiry is qualified and recorded; sales time goes to qualified conversations.

• Follow-up Agent

  Runs timely, personalised follow-ups on quotes, proposals, and open requests.

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  Problem

  Follow-ups are inconsistent and depend on individual discipline.

  Trigger

  A quote, proposal, or request passes a defined age without a response.

  AI actions

  1. 1Select the right channel and message
  2. 2Send the follow-up and interpret the reply
  3. 3Update the opportunity stage
  4. 4Schedule the next step

  Systems involved

  • CRM
  • Email
  • WhatsApp
  • Calendar

  Human handoff

  Replies that need negotiation or judgement go to the owner.

  Operational outcome

  Fewer open items go cold; pipeline data stays current.

• Payment reminders
• Collections follow-up
• Invoice inquiries
• Account-status interactions
• Structured escalation

• Collections Agent

  Runs structured payment follow-up and escalates accounts that need a person.

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  Problem

  Receivables follow-up is manual, late, and inconsistent across accounts.

  Trigger

  An invoice passes its due date or a payment-plan milestone.

  AI actions

  1. 1Identify overdue accounts and their history
  2. 2Apply the collection policy per tier
  3. 3Send reminders and record promises to pay
  4. 4Update the finance system

  Systems involved

  • ERP / finance system
  • WhatsApp
  • Email
  • Voice

  Human handoff

  Disputes and high-value accounts are escalated to the finance team.

  Operational outcome

  Consistent, policy-driven follow-up with a complete record.

• Employee requests
• Information retrieval
• Process coordination
• Approvals
• Internal support
• Cross-system actions

• Internal Operations Agent

  Moves requests between departments and systems without manual re-entry.

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  Problem

  Internal requests bounce between teams over email and chat.

  Trigger

  An internal request is submitted or a status changes.

  AI actions

  1. 1Capture the request in a structured form
  2. 2Route it to the responsible team
  3. 3Update the relevant systems
  4. 4Chase missing information and report status

  Systems involved

  • Internal apps
  • ERP
  • Email / chat
  • Databases

  Human handoff

  Approvals and exceptions are routed to the accountable manager.

  Operational outcome

  Requests move faster with a visible status.

• Employee Assistant

  Answers policy and system questions, then completes the request.

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  Problem

  Employees wait on HR and IT for routine questions and requests.

  Trigger

  An employee asks a question or submits a request in chat.

  AI actions

  1. 1Answer from approved policies and documents
  2. 2Complete routine requests within policy
  3. 3Prepare approvals for the responsible manager
  4. 4Confirm and record the outcome

  Systems involved

  • HR system
  • Microsoft 365 / Google Workspace
  • Internal apps
  • Ticketing

  Human handoff

  Sensitive or out-of-policy requests go to HR or IT.

  Operational outcome

  Routine requests are closed immediately; specialists focus on exceptions.

• Document intake
• Classification
• Data extraction
• Validation
• Routing
• Workflow initiation

• Document Processing Agent

  Reads incoming documents, extracts the fields, and pushes them to the right system.

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  Problem

  Invoices, IDs, and forms are re-typed into systems by hand.

  Trigger

  A document arrives by email, upload, or scan.

  AI actions

  1. 1Classify the document
  2. 2Extract and validate the fields
  3. 3Match to existing records
  4. 4Create or update the record

  Systems involved

  • Email
  • Document storage
  • ERP
  • Databases

  Human handoff

  Low-confidence extractions and mismatches are queued for review.

  Operational outcome

  Faster processing with fewer entry errors.

• Knowledge Agent

  Answers from approved internal sources and cites where the answer came from.

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  Problem

  Knowledge is scattered across documents, drives, and people.

  Trigger

  A question is asked in chat, email, or an internal tool.

  AI actions

  1. 1Search approved sources
  2. 2Answer with citations
  3. 3Perform the follow-on action when authorized
  4. 4Flag outdated or conflicting content

  Systems involved

  • Document stores
  • Microsoft 365 / Google Workspace
  • Internal knowledge bases

  Human handoff

  Questions without a reliable source are routed to the owner of that topic.

  Operational outcome

  Consistent answers grounded in approved content.

• Inbound calls
• Outbound follow-up
• Appointments
• Customer support
• Call routing
• After-hours workflows

• Voice Receptionist

  Answers every call, identifies the caller, and routes or resolves.

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  Problem

  Calls are missed, held, or misrouted, especially at peak times and outside hours.

  Trigger

  An inbound call reaches the PBX.

  AI actions

  1. 1Greet and identify the caller's need
  2. 2Verify the caller when required
  3. 3Resolve simple requests or take a structured message
  4. 4Route to the right person or department

  Systems involved

  • PBX / SIP
  • CRM
  • Calendar

  Human handoff

  Transfers to a person on request or when the request is outside scope, with a spoken summary.

  Operational outcome

  No unanswered calls; every call is logged with a disposition.

The right AI architecture depends on what needs to be accomplished, which systems are involved, what the AI may do, and where people remain responsible.