Grand Cayman, Cayman Islands , Software, Marketing & AI
Aerosoft Cayman

Support that scales without losing the human touch.

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Support does not break under volume. It breaks under cost.

Growing businesses rarely have a support problem in the way they expect. The tickets are answerable. The strain is that every extra unit of volume demands another unit of headcount , support cost rises in a straight line with growth, and never comes back down.

The usual tools do not solve this. Fragmented systems, inconsistent resolution quality and brittle automations leave hiring as the only reliable lever , which is exactly the cost the business was trying to contain.

Aerosoft builds AI support agents that operate inside your real support environment , your help desk, your CRM, your fulfilment rules, your escalation paths and your compliance requirements , resolving the repetitive, policy-bound tickets end to end.

When a meaningful share of routine contact resolves itself, the line between growth and headcount finally breaks , and your team spends its hours on the difficult, relationship-defining conversations that genuinely need a person.

Our approach

Faster answers, trust intact.

Bad support automation frustrates customers and damages the brand. We design it to genuinely resolve , and to know exactly when to hand a customer to a person.

  • 01
    Resolve, don’t deflect. The goal is a solved problem, not a closed ticket.
  • 02
    Know the limit. Clear escalation when a case needs human judgement.
  • 03
    Measured honestly. Tracked on resolution and satisfaction, not just volume.

Two ways AI strengthens support.

Our process

How we deliver AI support.

01 , 06
01.
Discovery

We analyse your support tickets to find the volume worth automating.

02.
Knowledge base

We assemble accurate, current answers for the AI to draw from.

03.
Conversation design

We design resolution flows, tone and escalation rules for each issue type.

04.
Build & integrate

We connect it to your helpdesk and systems so it can actually resolve, not just chat.

05.
Testing

We test against real tickets and edge cases before customers ever see it.

06.
Launch & metrics

We launch and track resolution, cost per contact and satisfaction.

What’s included.

01

Automated triage

When every ticket lands in one undifferentiated queue, the urgent ones wait behind the trivial. The system understands, categorises and prioritises every incoming query the moment it arrives. Genuine problems rise to the top, routine requests are handled immediately, and nothing sits unseen.

02

Contextual resolutions

Customers can tell the difference between a real answer and a bot stalling them. Resolutions are drawn from your actual knowledge base and the customer’s account data , specific and accurate, not generic deflection. People get their issue solved, which is the only support outcome that builds loyalty.

03

Proactive outreach

The cheapest support ticket is the one that is never raised. For known issues , an outage, a delay, a billing change , the system informs affected customers before they have to contact you. A potential complaint becomes a moment of trust, and your queue stays clear.

04

Escalation to agents

Escalation handled badly just makes the customer angrier , they end up explaining everything twice. Cases that need human judgement are handed to your team with the full conversation, history and reason attached. Your agent picks up exactly where the AI left off, informed, instead of from zero.

05

Multi-channel support

Customers move between chat, email and messaging and expect the same business on each. The system delivers one consistent set of answers and one standard of service across every channel. Wherever someone reaches you, the experience , and the quality , is the same.

06

Resolution metrics

Support automation is only worth keeping if it genuinely pays off , and that has to be proven. You get clear reporting on resolution rate, cost per contact and customer satisfaction. The impact is measured, not assumed, so you can see exactly what the system saves and where to extend it.

Frequently asked questions

Answers for support & operations leaders.

01

How is this different from a chatbot or SaaS support tool?

Our AI customer service agents are deeply integrated systems that resolve issues using your data and workflows. They are not standalone chat interfaces or scripted bots that simply answer questions.

02

How much internal effort is required from our team?

We handle system integration and agent design. Your team’s involvement is focused on validation, policy alignment and rollout decisions , not ongoing manual maintenance.

03

Can we control which issues the AI handles?

Yes. Issue categories, confidence thresholds and escalation rules are explicitly defined. You retain full control over scope and behaviour, and expand coverage by category and risk tier over time.

04

How do you handle sensitive or high-risk actions?

High-risk actions , refunds, account changes, anything irreversible , run behind defined thresholds and approval gates. The AI prepares and recommends; a person authorises. Every action is logged and traceable.

05

What happens when the AI doesn’t know the answer?

It escalates rather than guesses. The handoff carries the full conversation, the customer’s history and the reason for escalation , so the agent who picks it up starts informed, and the customer never has to repeat themselves.

Ready to resolve more
without adding headcount?

Tell us where your support queue backs up. We’ll show you the AI customer support layer we’d build around it.

Request a quote