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Case Studies

Delivery in
production

Real outcomes from agencies and SaaS teams using ProcessLabs.ai infrastructure. No vanity metrics — just what actually shipped.

40+
Client projects delivered
98.4%
Average on-time SLA
£2M+
Additional client ARR generated
6wk
Average concept-to-delivery
AI Agency · UK
── Workflow Automation

How a 6-person UK AI agency scaled to 40+ client projects without hiring

Meridian Agency was growing fast — but their delivery capacity had hit a ceiling. With 6 full-time staff managing an increasingly complex client roster, they needed a way to scale execution without the overhead of recruitment, onboarding, and management.

They embedded a Growth Pod into their delivery pipeline. Within 3 months, they doubled their active client count, maintained SLA performance across the board, and launched a white-label product line — all without adding a single full-time employee.

Pod used: Growth Pod · Duration: 6 months ongoing
Outcomes · 12 Month Period
2.4×
Client capacity increase
£340k
Additional ARR in 12 months
97%
Client retention maintained

"ProcessLabs gave us the delivery infrastructure we needed to grow without the chaos. Our clients get better output, faster — and we didn't hire a single extra person."

— CEO, Meridian Agency
SaaS · US
── AI Feature Delivery

SaaS team ships 18 AI features in Q3 with a Starter Pod

A Series A SaaS company had a growing backlog of AI feature requests but their core engineering team was fully committed to infrastructure and architecture work. They needed execution capacity — fast, structured, and without adding to their management overhead.

Using a Starter Pod, they offloaded their feature backlog entirely. The Pod delivered 18 production-ready AI features in a single quarter — 3x faster than the previous quarter — while their core engineers stayed focused on what mattered most.

Pod used: Starter Pod · Duration: Q3 (12 weeks)
Outcomes · Q3
18
AI features shipped in 12 weeks
Faster than prior quarter
0
New full-time hires required

"We were sceptical, but the Pod was fully embedded in our Jira and Slack within days. The output quality was genuinely impressive — and the speed was a revelation."

— VP of Product, Series A SaaS
Automation Firm · UK
── Process Automation

Automation firm recovers failing client project in 3 weeks

Nexus Automation faced a critical situation: a major enterprise client project had stalled 6 weeks in, with deadlines missed and client trust deteriorating. Their internal team was at capacity and they needed structured reinforcement — immediately.

A Scale Pod was deployed within 5 business days. The Pod ran a rapid discovery sprint, restabilised the delivery plan, and resumed execution. The client was retained, delivery resumed within a week, and the project completed on the revised timeline.

Pod used: Scale Pod · Duration: 6-week recovery engagement
Outcomes · Recovery Period
21d
From Pod intake to full delivery resumption
£0
Client churn cost
100%
Project deliverables completed on time

"We were in real trouble. ProcessLabs didn't just stabilise the project — they gave us a delivery framework we now use across our entire operation."

— Director, Nexus Automation
Startup · US
── MVP Delivery

Pre-revenue startup ships investor-ready MVP in 6 weeks

A solo founder with a validated AI product idea needed to move fast. With a pitch deadline and limited runway, they needed a structured technical delivery team — not freelancers, not a traditional agency — something that could move at startup speed with startup accountability.

They used a Starter Pod as their entire technical delivery function. The Pod delivered a production-grade, investor-presentable MVP in 6 weeks on a fixed timeline and fixed scope — enabling the founder to close their seed round.

Pod used: Starter Pod · Duration: 6-week fixed delivery
Outcomes · Post-MVP
6wk
Concept to investor-ready MVP
$1.2M
Seed round raised post-MVP
On time
Delivered to fixed pitch deadline

"I needed something that felt like a real engineering team but moved at my speed. The Pod did exactly that — the MVP is the reason we got the investment."

— Founder, Pre-seed AI startup
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