Your phone calls should
work for you, not the other way around

Skawk makes AI phone calls, extracts the data you need, and takes action on it — automatically. Here's the story of how it works.

The problem

Phone calls don't scale. Your business does.

Every day, businesses need to make hundreds or thousands of phone calls. Sales follow-ups. Patient check-ins. Appointment reminders. Debt recovery. Lead qualification. Customer surveys.

The maths never works. One person makes maybe 60 calls a day. To reach 1,000 people, you need a team of 17. To reach them at the right time, in the right language, with the right script — and then actually do somethingwith what they tell you — that's where it breaks down.

The call itself was never the hard part. It's everything that comes after.

How Skawk works

From setup to autopilot in four steps

1

Tell Skawk who to be

You create a persona— an AI agent with a name, a voice, and a personality. Maybe it's Emma, a warm aged care nurse doing post-discharge check-ins. Or Marcus, a direct debt recovery specialist. Or Priya, a multilingual customer success agent who speaks Hindi and English.

You write a prompt that tells the agent what to say, what to ask, and how to behave. You pick a voice — or clone your own from a 30-second audio clip. You choose the language. That's your agent.

Create persona

Name, personality, goals

Choose voice

Pre-built or clone yours

Add knowledge

Upload docs for real-time RAG

2

Tell Skawk who to call and what to extract

Upload a CSV of contacts, or pass them via API. Create a campaign— that's a batch of calls with a shared script and purpose.

The key is the analysis prompt. This tells Skawk what structured data to pull from every conversation. For a patient check-in, that might be:

analysis_prompt
Extract from the call:
{
  "pain_level": number (1-10),
  "medication_adherence": boolean,
  "mood": "positive" | "anxious" | "distressed",
  "escalation_needed": boolean,
  "summary": "one-line clinical summary"
}

For solar sales, it might be interested: boolean, roof_type: string, budget_range: string. For debt recovery, promise_to_pay: boolean, amount_agreed: number, payment_date: string. You define the schema. Skawk fills it in.

3

Tell Skawk what to do with the answers

This is where Skawk leaves every other voice AI platform behind.

You create workflows — rules that evaluate the extracted data and trigger actions automatically. No code. No webhooks to build. No duct tape.

If pain_level > 7

Create critical escalation for nursing team + SMS the patient reassurance + webhook to clinical system

If medication_adherence = false

Schedule a callback in 24 hours with a medication-focused script + send a reminder SMS

If mood = positive AND pain_level < 3

Send encouraging SMS: "Great to hear you're doing well!"

If interested = true

Update CRM via webhook + enrol in follow-up sequence + notify sales team

You can also build multi-touch sequences: Day 1 call → Day 3 SMS check-in → Day 7 follow-up call. The whole journey, automated.

4

Launch and watch it work

Hit launch. Skawk calls every contact simultaneously — up to 10,000 at once. Each call runs through your agent, extracts the structured data, evaluates your workflows, and fires the actions. All in real time.

You see it all in the dashboard:

Live call stats

Answer rates, durations, outcomes

Structured data

Every call result as clean JSON

Escalation queue

Priority-sorted, actionable

Contact timeline

Full history per person

Analytics

Disposition funnels, trends

Export

CSV, PDF, or API

Who it helps

Every industry that picks up the phone

Healthcare & Aged Care

A hospital discharges 40 patients a week. Each needs a follow-up call within 48 hours — checking pain levels, medication adherence, mobility, and emotional state. If pain is severe or medication is missed, a nurse needs to know immediately.

With Skawk: Emma, an AI care nurse, calls every patient. She extracts clinical data. If pain exceeds 7/10, the nursing team gets an instant escalation. If medication is missed, a reminder call is automatically scheduled for the next day. The clinical team sees a unified timeline of every patient interaction. Zero manual follow-up. Zero patients falling through the cracks.

Solar & Home Services

A solar company generates 500 leads a week from Facebook ads. Their sales team can call maybe 100. The other 400 go cold.

With Skawk: Every lead gets a call within minutes. The AI qualifies them — roof type, ownership status, budget range, interest level. Interested leads are instantly pushed to the CRM and enrolled in a 3-day follow-up sequence. Not interested? Marked and never called again. The sales team only talks to warm, qualified leads.

Debt Recovery & Collections

A collections firm has 10,000 accounts in arrears. Human agents cost $30/hour and burn out fast. Compliance requirements make every call a legal minefield.

With Skawk: Compliant AI calls every account with built-in guard rails — AI disclosure, company identification, recording notice, opt-out handling. Promise-to-pay is extracted as structured data. Accounts that agree to pay are updated automatically. Those that request no further contact are added to the DNC list instantly. 10,000 calls in a morning.

Marketing Agencies

An agency manages outbound campaigns for 8 clients. Each has different scripts, compliance requirements, and reporting needs. Currently juggling spreadsheets and separate tools.

With Skawk: Each client gets their own sub-account with dedicated call limits. The agency manages everything from one dashboard. Clients see their own branded portal with real-time results — no login required. Usage reports export to CSV. The agency bills whatever markup they want.

The difference

Other tools make the call. Skawk runs the system.

Most voice AI platforms give you an API to make a phone call. When the call ends, they fire a webhook and wish you luck.

You still have to build the logic that decides what happens next. You write the code that checks if a patient needs escalation. You build the integration that schedules a follow-up. You design the system that tracks every interaction over time. You maintain it all.

Skawk is what comes after the call.

Workflows evaluate the structured data from every conversation and chain actions automatically — SMS, callbacks, escalations, webhooks, CRM updates. Sequences run multi-day journeys. Escalations route urgent cases to humans. Timelines give you the full picture for every contact.

You set up the rules once. Skawk runs them every time. At scale.

10,000

simultaneous calls

40+

languages supported

<300ms

average latency

Stop making calls.
Start running systems.

50 free calls. Full platform access. No credit card required.