Service
AI Voice & Communications
Design, deploy and operate Apex on your numbers — answering inbound calls, running controlled outbound campaigns and completing approved follow-up — on contact-centre infrastructure run by the same team.
- Typical start
- Call-flow discovery
- First deliverable
- AI handling design + escalation matrix
- Engagement shape
- Deploy, then operate under SLA
Where ai voice & communications creates value
- 01
One SLA, not two vendors
The AI layer and the telephony under it are run by the same engineers, so a dropped call has one owner — not a finger-pointing exercise.
- 02
Escalation you control
What the AI resolves alone and what always reaches a person is a matrix you sign, not model behaviour anyone hopes for.
- 03
Context travels with the call
Configured handovers carry the available transcript, summary and known context so the receiving team can continue from the same record.
Scope
What the engagement covers
- 01AI voice agents that answer inbound calls and place outbound calls within approved pacing, business-hours and budget rules.
- 02Automatic post-call actions: update the contact, send an approved WhatsApp message or email, offer a meeting or schedule a callback.
- 03Escalation rules you control: what the AI may resolve alone, and what always reaches a person.
- 04Existing numbers, carrier constraints and the safest porting or connection path assessed before change.
- 05Call flow design with working-hours rules and tested failover.
- 06Agents work in Apex—calls, WhatsApp, email, meetings and tasks share one operating context.
- 07Integration with your CRM or service desk so records write back automatically.
AI voice in action
One agent, every front desk
The same AI receptionist, configured per sector—with operating hours, language coverage and escalation rules tested against the real caller journey before go-live.
What you keep
On the table when we leave
- Inbound, outbound and follow-up journey design with signed control rules
- Call flows with working-hours rules and tested failover
- Number porting or connection plan with carrier dependencies documented
- Apex agent workspace with the agreed customer-record write-back configured
How it runs
Four stages, each gated
- 01Assess1–2 weeks
- 02Design2–4 weeks
- 03DeliverScoped per project
- 04OperateOngoing
Every stage ends in a written deliverable that gates the next — the full method is on our approach.
Questions
What buyers ask us
Is this the same as an AI receptionist or AI call answering service?
They describe overlapping jobs. Apex can answer approved routine enquiries, gather structured details, complete connected actions and route exceptions to your team. Hours, languages and the exact use cases are confirmed during call-flow discovery.
Will callers know they are talking to an AI?
Yes—the deployment identifies the AI clearly. Disclosure wording and the route to a person are agreed for the journey and jurisdiction rather than left to an unstated assumption.
What can the AI agent actually resolve?
Whatever you authorise: opening hours, bookings, status checks, structured intake. The escalation matrix you sign defines it explicitly, and everything else routes to your team with context.
Which languages are supported?
Language and dialect coverage is confirmed against your caller mix and use cases during discovery. We do not treat a generic language label as proof that a specific accent, vocabulary and call condition is production-ready.
Do we lose our phone numbers?
Usually, but it depends on the carrier, number type and local rules. We document whether the safest path is porting, forwarding or an approved trunk before any commitment or change is made.
See the call flow in Apex
Bring a real customer journey. We will map what AI can resolve, where a person takes over and what must connect underneath.
Related capabilities
Explore the wider Prime Alley platform
Connect this capability with the product, engineering and control layers supporting your operation.