Case Studies

Real results,
real numbers.

Three businesses that used Dizilo to cut costs, grow revenue, and get time back.

340%
Pipeline growth in 90 days
−70%
Support cost reduction
5d → 4h
Month-end close time
2 wks
Average time to live
B2B SaaS · Lead Qualification Agent

B2B SaaS client: Tripled pipeline in 90 days without a single new hire

The Challenge

The client's sales team was manually processing 400+ inbound leads per month with a 48-hour average response time. Qualified leads were getting cold before the team even reached them, and SDRs spent most of their day on admin rather than selling.

What We Built

We built a lead qualification agent that intercepts every inbound enquiry within seconds, enriches the lead with company data, scores it against the client's ICP, and either books a meeting directly or routes it into the appropriate nurture sequence. The sales team only engages when a lead is warm, qualified, and ready.

Our SDRs used to spend most of their day sorting through leads. Now they only talk to people who are ready. Pipeline tripled in a quarter and we didn't add a single person to the team.

Founder
CEO · B2B SaaS (name withheld)
340%
Pipeline growth in 90 days
42 sec
Response time (was 48 hrs)
31%
Lead-to-meeting rate (was 12%)
−65%
SDR operating cost
Service Used
Lead Qualification Agent
View service →
E-Commerce · Store Support Agent

E-Commerce retailer: Cut support costs 70% while increasing customer satisfaction

The Challenge

The client's support team was handling 3,000+ queries per month across email and chat. Response times were averaging 6 hours during peak periods, CSAT was 3.8/5, and the support function was absorbing significant headcount and cost.

What We Built

We built a support agent trained on the client's product catalogue, order management system, and returns policy. It integrates directly with their WooCommerce store and handles order queries, return requests, and complaints across chat and WhatsApp — escalating to a human only when genuinely needed.

We were sceptical about adding a support agent to our store. But CSAT went from 3.8 to 4.9 and support costs dropped 70%. Customers don't care if it's AI — they care about getting a fast, accurate answer.

Head of CX
E-Commerce retailer (name withheld)
−70%
Support operating cost
4.9/5
CSAT score (was 3.8/5)
78%
Queries resolved without human
< 30s
Average response time
Service Used
Store Support Agent
View service →
Finance · Workflow Automation

Financial services client: Month-end close went from 5 days to 4 hours

The Challenge

The client's finance team was processing 2,000+ invoices per month entirely manually — reading, matching to POs, flagging discrepancies, and posting to their accounting system. Three team members spent the majority of their working week on data entry alone.

What We Built

We built an automated invoice processing pipeline that reads incoming invoices using document AI, matches against purchase orders, flags any discrepancies for human review, and posts approved entries directly to Xero. The human team reviews exceptions only — not every document.

We'd spoken to larger agencies who wanted six months to scope the work. Dizilo had us live in two weeks with results in the first few days. That's the difference between a consultancy and a team that actually builds things.

CTO
Financial services (name withheld)
99.97%
Processing accuracy
5d → 4h
Month-end close time
2,000
Documents processed/month
3
Staff freed from manual entry
Service Used
Invoice & Finance Automation
View service →

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