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SGL.AUTOMATION
Case studies

Results that speak for themselves

A look at the kind of outcomes our automations deliver — hours reclaimed, costs cut, and pipelines filled.

E-commerceMid-market E-commerce brand

Deflecting 72% of support tickets with an AI agent

An online retailer was buried under repetitive 'where's my order' tickets. We deployed an AI support agent that resolved most of them instantly — and CSAT went up.

The challenge

A 6-person support team handled ~250 tickets/day, 70% of which were repeat questions about orders, returns and shipping. Response times stretched to 8+ hours during peaks, and the team was burning out.

What we built

We built an AI support agent grounded in their help center, order system and past tickets. It answers common questions instantly, pulls live order status, and escalates anything sensitive to a human with a drafted reply and full context.

The results
72%
Tickets resolved without a human
8 hrs → 30 s
Median first response
+11 pts
Customer satisfaction (CSAT)
SaaSB2B SaaS company

Cutting client onboarding from 2 days to 20 minutes

A manual, error-prone onboarding process was costing the team days and creating a bad first impression. We automated the entire flow end to end.

The challenge

Onboarding a new client meant manually creating accounts, copying data across 5 tools, sending a sequence of emails, and scheduling kickoff — roughly two working days per client, with frequent mistakes.

What we built

We connected their CRM, billing, product, email and calendar with an automated workflow. The moment a deal closes, everything provisions automatically, personalized emails go out, and the kickoff is booked — with the team only stepping in for exceptions.

The results
2 days → 20 min
Time to onboard a client
100%
Reduction in manual data entry
15 hrs/wk
Team time reclaimed
Professional servicesB2B marketing agency

An AI lead engine that filled the calendar on autopilot

A growing agency relied on referrals and had no predictable pipeline. We built an outbound engine that books qualified calls while they sleep.

The challenge

Pipeline was unpredictable and entirely referral-based. The founders had no time for outbound, and generic cold email had failed before.

What we built

We built an automated engine that identifies ideal-fit prospects, enriches them, writes genuinely personalized outreach with AI, scores replies, and routes hot leads straight to a booking link — with full follow-up sequences.

The results
31
Qualified calls booked in month 1
3.2×
More pipeline than prior quarter
< 2 min
Hot-lead response time

These representative scenarios illustrate the outcomes our services produce. Your results depend on your specific workflows — let's find your highest-ROI automation on a free audit.

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