Demo
Home Services Use Cases Blog About Contact Demo

Use Cases

Explore practical AI workflows for sales, service, scheduling and operations. The Scheduling Assistant is live today; the other patterns show what we can design around your systems.

How we think about AI in the real world

Useful before it is impressive

Every demo is a starting point for a larger workflow. We design the AI, human handoff, data, and governance together.

01

Start with the outcome

Define the customer or employee moment that should become faster, clearer, or easier.

02

Design the handoff

AI handles what it can, then passes context—not a dead end—to the right human team.

03

Connect the systems

Voice agents become useful when they can work with calendars, CRM, knowledge, and service platforms.

04

Pilot before scaling

Start with a controlled workflow, learn from real conversations, and expand with confidence.

Voice AI · Scheduling

Scheduling Assistant

Answers inbound calls the moment they arrive, understands a natural request like "I need to see Dr. Tan next week," checks real availability, and books it. No IVR menus, no hold music, no back-and-forth.

Example Verticals
Healthcare & Clinics Professional Services Salons & Wellness Real Estate
Try the Scheduling Assistant →
Voice AI · Sales

Lead Qualifier

Runs the same disciplined first conversation every time, covering need, budget, timing, and authority, and hands your sales team a clean, structured brief instead of a raw lead that still needs chasing.

Example Verticals
B2B SaaS Real Estate Financial Services Education
Discuss this workflow →
Voice AI · Support

Customer Support

Resolves routine account and product questions straight from your approved knowledge base, in a natural conversation, and escalates to a human with full context intact the moment it's out of its depth.

Example Verticals
Telecom Retail & E-commerce Utilities SaaS
Discuss this workflow →
Voice AI · Operations

Order Status

Looks up fulfilment status in plain language, such as "your order shipped yesterday and arrives Thursday," and flags exceptions for a human, so customers get a real answer instantly, day or night.

Example Verticals
Retail & E-commerce Logistics Manufacturing F&B Delivery
Discuss this workflow →
Voice AI · Front Desk

AI Receptionist

Greets every caller after hours or during peak volume, captures why they're calling, and routes or books a callback with confidence, so no enquiry sits in a voicemail box until Monday.

Example Verticals
Professional Services Clinics Property Management Trades & Field Services
Discuss this workflow →
Voice AI · IT Operations

IT Helpdesk

Triages access, password, and device issues against your runbooks, walks the caller through the approved fix, and opens a ticket automatically the moment it can't resolve the call itself.

Example Verticals
Enterprise IT Education Financial Services Manufacturing
Discuss this workflow →
Voice AI · Engagement

Reminders

Places proactive outbound reminders that sound personal rather than robotic, handles reschedules on the spot in natural conversation, and writes the outcome straight back to your calendar.

Example Verticals
Healthcare & Clinics Education Financial Services Automotive Service
Discuss this workflow →
AI in CX & EX

AI Support Agent Quickstart

Stand up an AI-powered agent that handles first-line customer questions across chat and email, with clear handoff rules to your human team for anything it can't resolve.

The build approach

  1. Discovery — map your top support intents and current resolution flow
  2. Knowledge setup — structure your existing help content into the agent's knowledge base
  3. Configuration — build conversation flows, escalation rules, and handoff logic
  4. Pilot — run in shadow mode alongside your team for two weeks
  5. Go-live — switch on for a defined channel or segment, monitor, and tune
Typical timeline
5–7 weeks
From kickoff to go-live
Prerequisites
  • Existing help centre or FAQ content
  • A support channel to integrate into
  • One point of contact from your team
Recurring 3rd-party costs
~$300–800/mo
AI platform + channel licensing, varies by volume

This is a reference scenario — actual scope shifts based on your existing systems and support volume. We'll size it exactly for you before any commitment.

Talk to us about this →
CX & Customer Engagement

Omnichannel Contact Centre Rollout

Move your contact centre onto a unified platform covering voice, chat, and messaging, with agent tooling and reporting configured from day one.

The build approach

  1. Current-state assessment — call flows, volumes, existing telephony and CRM
  2. Platform configuration — queues, routing, IVR, agent desktop
  3. Integration — connect to your CRM and knowledge systems
  4. Agent training — hands-on sessions for your team
  5. Cutover — phased migration with a fallback plan
Typical timeline
8–12 weeks
From kickoff to full cutover
Prerequisites
  • Existing contact centre volumes and reporting
  • Agent headcount and shift structure
  • CRM or ticketing system to integrate with
Recurring 3rd-party costs
~$40–90/agent/mo
Platform licensing, tiered by features

This is a reference scenario — actual scope shifts based on channel mix and agent count. We'll size it exactly for you before any commitment.

Talk to us about this →
Customer Data & CRM

Customer Data Unification

Bring customer records scattered across CRM, support, and billing systems into one consistent profile, so every team is working from the same picture.

The build approach

  1. Data audit — inventory source systems and identify overlaps and conflicts
  2. Mapping — define the unified customer schema
  3. Integration build — connect source systems via API or scheduled sync
  4. Validation — reconcile records and resolve duplicates
  5. Handover — dashboards and documentation for your team to maintain
Typical timeline
6–10 weeks
From kickoff to handover
Prerequisites
  • Admin access to source systems
  • A nominated data owner on your side
  • An existing (or willingness to define a) customer ID scheme
Recurring 3rd-party costs
~$150–500/mo
Integration platform, varies by data volume

This is a reference scenario — actual scope shifts based on your number of source systems and data quality. We'll size it exactly for you before any commitment.

Talk to us about this →

Don't see your use case here?

These three are just where we started. Tell us what you're trying to solve and we'll scope a build approach for it.

Talk with AI