Before & After

Transformation, not features. The shape of the change.

When we engage with a UK SME, the change tends to look the same shape across four dimensions: website speed, workflow, SEO visibility, and owner-time spent on admin. This page is the visual shorthand for that change. The four detailed case studies linked at the bottom show real engagements; the comparisons on this page are illustrative shorthand for those patterns.

Honest note: the numbers on this page are illustrative ranges typical of an engagement, not metrics from a specific named client. For a specific named example with detailed numbers, see the four case studies at the bottom of this page.

1. Website speed: slow vs optimised

Before

Typical pre-optimisation site

5.8s LCP
  • INP: 420 ms (poor)
  • CLS: 0.31 (poor)
  • Lighthouse Performance: 38
  • JS bundle: 1.4 MB unused-heavy
  • Mobile bounce rate: ~62%
After

After speed-optimisation engagement

1.7s LCP
  • INP: 180 ms (good)
  • CLS: 0.05 (good)
  • Lighthouse Performance: 92
  • JS bundle: 380 KB, code-split + lazy
  • Mobile bounce rate: ~38% (40% better)

Same content, same hosting (often). Difference is image format (WebP/AVIF), critical CSS inlining, third-party script deferral, JS bundle splitting, and CDN tuning. Typical engagement: 1–3 weeks, fixed-price £650–£6,500 depending on site complexity. See our speed optimisation service.

2. Workflow: manual vs automated

This is the single biggest unlock for most SMEs we work with. The diagrams below are a generalised quote-to-cash flow; the specific shape varies per business (booking flows, recurring-service flows, B2B sales flows all map to the same pattern).

Before

┌────────────────────────────────────────────────────────────────┐
│  MANUAL QUOTE-TO-CASH (typical SME today)                      │
│                                                                │
│  Enquiry comes in                                              │
│       ↓ (24-48 hours)                                          │
│  Owner remembers, drafts quote in Word                         │
│       ↓ (2-5 days)                                             │
│  Sends as PDF email attachment                                 │
│       ↓ (1-3 days)                                             │
│  Customer reads, may or may not respond                        │
│       ↓ (1-2 weeks)                                            │
│  Owner chases, eventually books job                            │
│       ↓ (work done)                                            │
│  Owner manually drafts invoice in Excel                        │
│       ↓ (Net-30 terms)                                         │
│  Owner manually chases late payments                           │
│       ↓                                                        │
│  Owner forgets to ask for a review                             │
│                                                                │
│  Total cycle: 5-8 weeks. ~5 hrs/week admin.                    │
└────────────────────────────────────────────────────────────────┘

After

┌────────────────────────────────────────────────────────────────┐
│  AUTOMATED QUOTE-TO-CASH                                       │
│                                                                │
│  Enquiry hits system                                           │
│       ↓ (within seconds)                                       │
│  AI scores + enriches, triggers first response                 │
│       ↓ (15-30 min on mobile)                                  │
│  Owner finalises quote on phone, send via SMS link             │
│       ↓ (customer accepts in one tap)                          │
│  Auto-converts to scheduled job in calendar                    │
│       ↓ (work done; "complete" tapped on phone)                │
│  Invoice auto-drafted, sent within 2 minutes                   │
│       ↓ (Stripe / GoCardless link)                             │
│  Payment auto-chased; reminders every 7 days                   │
│       ↓ (48h after paid)                                       │
│  Review request fires automatically — SMS + email              │
│                                                                │
│  Total cycle: 1-2 weeks. ~30 min/week admin.                   │
└────────────────────────────────────────────────────────────────┘

Real engagement walkthrough: Invoice Automation case study. Service page: Local Business Automation UK.

3. Local SEO: pre vs post 6-month engagement

MetricBeforeAfter 6 months
Indexed pages22148 (programmatic + content)
Google Business Profile completeness~40%100% + weekly posts
Google reviews3 reviews, 4.0 avg34 reviews, 4.7 avg
Local citations (NAP)2 inconsistent listings10+ consistent listings
Schema markup coverageNoneLocalBusiness + Service + FAQ + Breadcrumb
Map Pack appearances (target keywords)2 of 1210 of 12 (top 3 on 7)
Monthly organic traffic~180 sessions~1,400 sessions (illustrative)

Illustrative pattern from a typical 6-month engagement. Specific results vary by industry, competition, and starting baseline. Real engagement: SEO Automation Suite case study. Tool: audit your own local SEO.

4. Owner time: admin vs strategic

Before

Where the owner's week goes

  • 5 hrs / week: drafting and sending quotes
  • 3 hrs / week: chasing invoices
  • 2 hrs / week: scheduling jobs
  • 2 hrs / week: customer status updates
  • 1 hr / week: asking for / chasing reviews
  • 1 hr / week: reporting / pulling numbers
14 hrs / week

on repetitive admin

After

What the owner does instead

  • 30 min / week: review automated quotes (mobile)
  • 15 min / week: exception-handling on payments
  • 15 min / week: light scheduling overrides
  • 0 hrs: customer status updates (automated)
  • 0 hrs: review requests (automated)
  • 30 min / week: review the dashboard
1.5 hrs / week

~12 hrs / week reclaimed for selling, customer relationships, strategy

Use our ROI calculator to put real numbers behind this for your own situation.

5. AI customer support: deflection rate

MetricBefore (humans only)After (AI + escalation)
First-touch coverage9am-5pm Mon-Fri24 / 7 / 365
Tickets resolved by bot alonen/a50–70% (FAQ-class)
Median first-response time2 hrs (business hours)< 5 seconds (24/7)
Hallucination / wrong-answer raten/a< 3% (RAG-grounded + confidence-routed)
Human escalations with full contextManual ticket triageAuto with summary + history attached

Real engagement: AI Chatbot Cambridge case study. Service page: AI Chatbot Developer Cambridgeshire.

Real engagements (named outcomes)

The four case studies below are real engagements walked through end-to-end — the only place on this site where you'll find specific named numbers.

What we can't (yet) show

For transparency — the things we don't put on this page:

Pick the package that fits

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