Client results

AI that actually moves the needle

We don't do vanity projects. Every engagement we take on is measured by one thing: does it make your business faster, leaner, or more profitable? Here's the proof.

40%

Average time saved on manual tasks

3×

Faster lead response with AI agents

60%

Reduction in support ticket volume

< 4 wks

Average time to first live deployment

AI AutomationProfessional Services

How a 12-person law firm cut admin time by 45% in three weeks

A boutique commercial law firm was drowning in manual document prep, client follow-ups, and billing reconciliation. Their fee earners were spending nearly two hours a day on tasks that had nothing to do with law.

The challenge

The firm had no dedicated operations staff and couldn't justify hiring one. Every admin task fell on the lawyers themselves — drafting routine correspondence, chasing invoice approvals, and manually updating their CRM after every client call.

What we did

We mapped their top five time-draining workflows and automated all of them within three weeks. Document templates were connected to their CRM so client letters generated themselves. A billing automation pulled data from their time-tracking tool and pushed draft invoices for one-click approval. Follow-up emails were triggered automatically based on case status.

Results

45%

reduction in non-billable admin time per fee earner

£28k

in recovered billable hours in the first quarter

3 weeks

from kickoff to all automations live

I genuinely didn't think it would work this fast. Within a month, my team stopped complaining about admin. That alone was worth it.

— Managing Partner

AI AgentsE-commerce

AI customer support agent handles 70% of tickets without human intervention

A fast-growing e-commerce brand was scaling faster than their support team could keep up. Response times were slipping, reviews were suffering, and hiring more agents wasn't financially viable.

The challenge

Their support inbox was flooded with repetitive queries — order status, return requests, product questions, and delivery complaints. The team was spending 80% of their time on issues that followed the same script every time.

What we did

We built and deployed a custom AI support agent trained on their product catalogue, return policy, and order management system. The agent handled inbound queries via live chat and email, escalating only the genuinely complex cases to a human. It was live within two weeks.

Results

70%

of support tickets resolved without human involvement

4 min

average first response time, down from 6 hours

0.5 FTE

equivalent headcount saved in the first month

Our CSAT score went up while our support costs went down. I didn't think that was possible at the same time.

— Head of Operations

AI IntegrationRecruitment

Connecting a fragmented tech stack saved a recruitment agency 15 hours a week

A mid-sized recruitment agency was running their business across five disconnected tools — an ATS, a CRM, LinkedIn, email, and a spreadsheet that held everything together with prayers.

The challenge

Data lived everywhere and nowhere. Consultants were manually copying candidate info between systems, updating spreadsheets after every call, and sending follow-up emails by hand. Every placement involved hours of invisible admin that nobody was tracking.

What we did

We integrated their ATS and CRM using a custom middleware layer, built automated data sync between LinkedIn activity and their pipeline, and replaced their manual follow-up process with a sequenced AI-driven outreach workflow. No new tools — just their existing stack, finally talking to each other.

Results

15 hrs

saved per consultant per week on data entry and follow-ups

2×

increase in outreach volume without adding headcount

100%

of candidate data now synced automatically across all systems

We finally feel like a modern business. The spreadsheet is gone. I never have to say that again.

— Director, Talent Operations

AI StrategyHealthcare (Private Clinic)

AI strategy roadmap helped a private clinic prioritise the right automation — and avoid the wrong ones

A private medical clinic wanted to 'do something with AI' but had no idea where to start. They'd been pitched everything from chatbots to diagnostic tools and were overwhelmed.

The challenge

The clinic had genuine operational pain — appointment no-shows, manual insurance pre-authorisation, and a front desk team stretched thin. But they also had strict compliance requirements and patient data sensitivities that made the wrong AI move a serious liability.

What we did

We ran a two-week AI strategy engagement: mapped their operations, identified the highest-ROI automation opportunities, assessed compliance risk for each, and delivered a prioritised roadmap with clear build-vs-buy recommendations. No fluff — just a practical plan they could execute.

Results

6 use cases

identified and prioritised by ROI and compliance risk

1 use case

deprioritised that would have created GDPR exposure

£0 wasted

on tools they didn't need — saved an estimated £40k in misguided spend

We came in thinking we needed a chatbot. We left with a proper plan. The strategy work alone saved us from making some very expensive mistakes.

— Practice Manager

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