What you save

Real savings UK businesses see when they automate.

These are typical outcomes from the six most common automation projects we build for UK SMBs. Every figure is a range, every range has stated assumptions. The free audit will tell you what's realistic for your specific situation.

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Accountancy practice

A 4–6 person practice handling bookkeeping, VAT returns, and annual accounts for 80–120 small business clients.

£1,800–£2,600/mo

11–14 hours/week back

The problem

A bookkeeper spends 2–3 hours a day manually keying supplier invoices from PDFs and scanned images into Xero. Volume spikes every quarter.

What we build

An invoice OCR pipeline that extracts supplier name, amount, VAT, and date from incoming email attachments, matches them to existing Xero suppliers, and posts them as draft bills for one-click approval.

Anchored on

Anchored on 100+ invoices/month, ~7 min each at a £32–38k bookkeeper rate. Draft approval review time not included.

Professional services consultancy

A 10–20 person consultancy — management, HR, or operations — where senior staff spend Friday afternoons building client status updates.

£1,200–£2,200/mo

8–14 partner hours/month recovered

The problem

Partners and senior consultants spend 60–90 minutes per client every week pulling data from the project tracker, emails, and CRM to write status reports. It's important work, but it's mostly collation.

What we build

A weekly report agent that pulls data from your project management tool and CRM, drafts a per-client update in your house style, and queues it for a 10-minute human review before sending.

Anchored on

Anchored on 8–12 active clients, 90-min weekly report cycle at a blended senior-consultant rate of £55–75k.

E-commerce brand

A UK-based online retailer handling 60–200 orders a day with a 2–4 person support team managing queries via email and live chat.

£900–£1,800/mo

60–75% ticket deflection

The problem

Most support queries are the same 15 questions: order status, delivery times, returns process, sizing. A human answers each one individually — at peak it's a full-time job.

What we build

A support chatbot trained on your FAQ, order data, and returns policy. It resolves the common queries instantly, routes complaints and edge cases to a human, and logs everything to your helpdesk.

Anchored on

Anchored on 40–80 support contacts/day, ~8 min average handle time, at a £24–28k support agent rate. Human cover still required for escalations.

Property management / lettings agency

An agency managing 80–200 residential properties — a mix of ASTs, HMOs, and commercial lets — with a small admin team.

£1,000–£1,900/mo

10–15 admin hours/week back

The problem

Admin staff spend hours every week chasing tenants for rent arrears, responding to maintenance requests with standard replies, and sending renewal reminders. Repetitive, low-skill, high-volume.

What we build

A comms triage agent that classifies incoming tenant emails (maintenance, arrears, general enquiry), drafts appropriate replies or escalation summaries, and triggers chase sequences for overdue rent.

Anchored on

Anchored on 150 units, ~3 tenant comms per unit per month at 15 min each, at a £22–26k admin rate.

B2B SaaS startup

A 10–30 person SaaS company with an SDR team doing outbound sales. CRM is HubSpot or Salesforce; data quality is variable.

£1,400–£2,800/mo

4–6 SDR hours saved per week

The problem

SDRs spend 20–40 minutes researching each prospect before outreach: finding company size, recent funding, LinkedIn profiles, and deciding on angle. The CRM records are often incomplete or stale.

What we build

A lead enrichment agent that runs automatically when a new prospect lands in the CRM. It finds company data, LinkedIn signals, and recent news, updates the record, and flags the highest-intent leads for immediate follow-up.

Anchored on

Anchored on 3–4 SDRs at £28–35k each, researching 15–25 new prospects per week each at ~25 min per prospect.

Hospitality group

A multi-site restaurant, hotel, or leisure group with 3–8 locations and a small central operations team.

£600–£1,100/mo

4–5 manager hours/week back

The problem

Every morning, the ops manager manually pulls revenue, covers, and booking data from the till system and reservation platform to build a daily performance summary. It takes 45–60 minutes — before they can start actually managing anything.

What we build

An overnight ops digest agent that pulls data from your POS and booking system at 6am, compares it to the same day last week and last year, flags any sites that are off-target, and sends a concise summary to the relevant managers before they start their day.

Anchored on

Anchored on 1 ops manager spending 50 min/day on manual reporting at a £35–42k salary, across a 5-day week.

Want this for your business?

The free audit gives you tailored numbers.

The profiles above are illustrative. The audit asks about your actual volumes, team sizes, and tools — then produces savings estimates specific to you. Takes 5 minutes.

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How we calculate savings

Every savings figure is a range, not a quote. Ranges are built bottom-up from stated assumptions about task volume, time-per-task, and the loaded cost of the staff doing that work today. We use UK salary benchmarks (ONS and sector data where available).

The assumptions are always published alongside the figure — if your volume is lower or your team rate is different, the number scales accordingly. We flag where the model is sensitive to an input.

Savings are gross — they don't account for the cost of building and running the automation. The audit will show you net figures once it knows your situation. As a rough guide: most automations pay back inside 3–6 months, and most AI agents inside 6–12 months.

These are not guaranteed outcomes. They are reasonable expectations based on similar work for similar businesses. Your actual results depend on data quality, process discipline, and adoption.