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Evidence Based

Case Studies & ROI.
Verified.

Every number here has a source. The first study is our own business, read from Xero. The rest are clients, with the Challenge, the Intervention and the commercial Result for each.

The headline case study. IgniteAI Solutions, our own business

We ran the method on ourselves first

In January 2026 the business ran at a loss. In February, Claude went live across the whole business, on the same operating system we sell to clients. Ten months on, revenue this year is about 9 times the whole of 2025, read from Xero. Invoicing in the second quarter was four times the first, July fell 78% when a large client left, and October was a record. 28 scheduled jobs now run the business day, and the work logged against a rate card comes to about 51 hours a week.

~9×

Revenue this year vs all of 2025

+299%

Invoicing, Q2 on Q1

24

New clients, Feb to mid-Oct

~51 hrs

Saved a week, modelled

28

Scheduled jobs running

The Challenge

An advisory selling AI adoption had the same constraint as its clients. One person carrying discovery, delivery, sales and the back office, with nothing left over for growth.

The Intervention

Built the operating system we sell to clients, on our own business: about 55 skills, 28 scheduled jobs, a knowledge base of 1,597 entries, and an advisory board of Claude seats. Claude drafts and never sends.

The Result

  • • ~9× Revenue This Year vs 2025
  • • 317 Pieces of Work Logged in Seven Weeks
  • • 28 Scheduled Jobs Running

Revenue read from Xero for the UK company, 1 January to 21 October 2026 against calendar 2025, corrected for a bank refund posted twice to sales, before year-end adjustments. Quarterly invoicing from the business ledger, both companies. Hours modelled against a rate card since 31 August. Correlation rather than a controlled test, and the full study says so.

Successful Claude Deployments

Claude running inside a client's business. IgniteAI set up the framework. The client's own team runs it.

Solent Check, UK Risk, Safety and Property Compliance Consultancy

We cut complex risk assessment production from three days to one

Solent Check runs Claude Desktop, connected to Google Drive, Airtable, Xero and Gmail. A standard risk assessment went from 6 hours to 3. A complex one went from two or three days to one. The gain shows up as capacity: the number of jobs a week is broadly steady, and the size and complexity of the work has moved.

"[Claude] lets me research a question properly, across thousands of pages of standards and guidance, and come back with the right answer. That has let us take on bigger and more complex work far sooner than we could have, and the business has grown faster than we expected."

Sarah Blaney, Director, Solent Check

The Challenge

A complex report took about two days to produce, and the research behind it was limited to what the team could read themselves. Safety sits on thousands of pages of standards and Government guidance. Reaching the clause that answers a specific question was slow enough that it shaped which jobs the business took on.

The Intervention

IgniteAI set up the framework for how Solent Check works with Claude: risk assessments from site inputs to the finished branded report, fire door inspection reports, research across standards and legislation, plus quotes, marketing, job set-up and invoicing. Chris is on the end of WhatsApp when a question comes up.

The Result

  • • 3 days to 1 Complex Risk Assessment
  • • 10 Hours Back per Person per Week
  • • 16 Assessments in 6 Days, One Zoo Estate
  • • 84 Door Sets and 541 Photos, One Report

Guy Anderson Wines, UK Wine Brand and Supplier to the Grocery Multiples

We turned the need for change into a Claude rollout plan

Guy Anderson Wines runs Claude Desktop and Claude Design. IgniteAI set the AI strategy and led the Claude Teams rollout. The first users are getting 2 hours back per person per week.

"The difficulty isn't knowing you need to change, it is the change itself. IgniteAI takes away responsibility and gives you accountability."

Matt Ward, Finance Director, Guy Anderson Wines

The Challenge

Inefficiencies ran through the business's processes and systems. The team knew things had to change. The hard part was making the change happen.

The Intervention

IgniteAI brought a methodology and a clear view of what was possible, what was needed, how to get there and how long it would take. That became the AI strategy and the Claude Teams rollout.

The Result

  • • 2 Hours Back per Person per Week

Luxury Travel Company, Bespoke Tour Operator

We cut a 15-hour document job to seconds

A luxury travel company runs Claude for Teams across the business. A document conversion job that took 15 hours every three weeks now runs in seconds, and each quote is about 10 minutes faster. Staff build their own skills and scheduled workflows.

The Challenge

An audit of the business baselined productivity and where the time was going: sales quotes, concierge documents, costing and marketing. One document conversion job alone took 15 hours every three weeks.

The Intervention

IgniteAI rolled out the Claude Team plan, built a company Claude plugin, and ran a four-call enablement arc in which staff built their own skills and scheduled workflows. AI governance ran alongside: manifesto, policy, rollout runbook and DPIA.

The Result

  • • 15 Hours to Seconds Document Conversion
  • • 10 Minutes Faster per Quote
  • • 6 Staff Running Skills They Built
  • • Manifesto, Policy, DPIA Signed Off

RICS Residential Survey Firm, Level 2 and 3 Surveys

We cut RICS report drafting from 14 hours to one

A RICS residential survey firm runs Claude with a skills-based drafting layer that writes Level 2 and 3 report sections in the lead surveyor's own voice. Drafting a report went from 10 to 14 hours to 1, and survey analysis from 10 to 12 hours to 20 minutes. It sits in front of the firm's existing survey software rather than replacing it, and it is in daily use.

The Challenge

Every RICS Level 2 and 3 report is written section by section to a professional standard. Survey analysis took 10 to 12 hours, drafting took 10 to 14, and compiling the finished report took another 3.

The Intervention

A build day configured Claude for the practice, with a written practice constitution and report standard. A skills build session then added the drafting skills for each report section, every one checked against the practice standard and a cross-examination test.

The Result

  • • 10-12 Hours to 20 Minutes Survey Analysis
  • • 10-14 Hours to 1 Report Drafting
  • • 3 Hours to 1 Report Compiling
  • • Daily Use Build Complete

Operational Efficiency

Removing bottlenecks and automating manual overhead.

Harts of Stur, UK Premium Kitchenware

We reduced retail product listing times by 94%

We deployed E.V.A. (Enhanced Virtual Assistant), a multi-agent AI system that ingests chaotic manufacturer data (PDFs, images, CSVs) and outputs SEO-ready descriptions. This reduced listing time from 45 minutes to 1 minute per item, saving about US$92,000 annually. Now productised as FORGE.

"Our productivity for the marketing team has been extremely significant, I would say in the high 90% compared to the old way we drafted product listings."

Clare Smith, Digital Marketing Manager, Harts of Stur

The Challenge

Manual listing of 6,000 SKUs took 45-60 minutes per item. Staff struggled with varied input formats (PDFs, URLs), creating a seasonal bottleneck.

The Intervention

Implemented a Python-based multi-agent system (E.V.A.) to ingest and normalise data from disparate sources, automatically generating on-brand content.

The Result

  • • 94% Time Reduction
  • • about US$92K Annual Savings
  • • 100% Voice Consistency
Read the full Harts of Stur case study

We saved 10 hours a week for a professional services team

We implemented Automated Document Generation using templates and AI-assisted drafting. By removing manual drafting, we freed capacity worth about US$430K in potential new revenue.

The Challenge

Senior staff were spending expensive billable hours manually drafting routine client documentation, leaving no capacity for acquisition.

The Intervention

Deployed AI-assisted generation from existing templates with structured workflows, ensuring human validation on all outputs.

The Result

  • • 10 Hours Saved/Week/Person
  • • about US$430K Revenue Potential
  • • +8 New Client Capacity

We helped HR speed up responses by 85%

We built an internal AI Policy Assistant that ingested 35 company policy documents. This reduced email queries by 30% and cut response times to under 3 minutes.

The Challenge

HR team buried in repetitive email queries (maternity, leave, appraisal). Senior staff acting as a "Help Desk" rather than strategists.

The Intervention

Secure ingestion of policy documents into a natural language query interface, providing instant answers with an escalation path.

The Result

  • • 85% Faster Response
  • • 30% Email Reduction
  • • <3 min Resolution Time

We reduced founder dependency for a marketing agency

We standardised operations first, then implemented AI-enhanced proposal generation. This reduced the founder's operational time by 60% and enabled the team to handle onboarding.

The Challenge

A 6-year-old agency couldn't scale because the founder was the bottleneck for every proposal and client onboarding.

The Intervention

Systematisation followed by AI. We templated the founder's knowledge into AI prompts for proposal writing and lead generation.

The Result

  • • 60% Less Founder Ops Time
  • • 3x Process Standardisation
  • • about US$410K Revenue Target Enabled

Revenue Growth AI

Direct impact on sales, conversion, and recovery.

We recovered about US$70,000 monthly revenue from a catering platform using abandoned baskets

We switched channels from email to Real-time AI SMS. Triggered 15 minutes after abandonment, this achieved a 98% open rate and recovered about US$840K annualised revenue.

The Challenge

Losing US$270K/month to abandoned carts. Traditional emails had <20% open rates and arrived too late for hungry customers.

The Intervention

Implemented a real-time AI monitoring layer that triggers personalised SMS interventions based on basket contents.

The Result

  • • about US$70K Monthly Recovered
  • • 5x Recovery Rate Lift
  • • 15 min Intervention Time

We increased lead conversion opportunities by 391%

We deployed a 90-Second AI Response System. It responds 24/7 via SMS, increasing the lead capture rate from 22% to 100%.

The Challenge

Inbound leads were going cold due to slow manual follow-up. Competitors were winning simply by responding faster.

The Intervention

We deployed an AI agent that instant-responds to enquiries, qualifies intent, and books appointments directly into CRM.

The Result

  • • 391% Conversion Opportunity
  • • 100% Capture Rate
  • • 90 sec Response Time

We enabled 450% new client growth for a legal firm

We combined Service Productisation with Automated Report Generation. By reducing report writing time by 75%, partners could focus entirely on client acquisition.

The Challenge

Growth constrained at 20-30%. Partners were bogged down in manual onboarding and compliance report writing.

The Intervention

Automated nurturing sequences for leads and AI-assisted drafting for compliance reports and status updates.

The Result

  • • 450% Growth Rate
  • • 75% Less Report Time
  • • 60% Less Admin Time

We accelerated defence contract mobilisation

We designed a dual-speed AI architecture that enabled a defence contractor to reduce proposal turnaround time to just 5 days, adding over US$4M in contract value.

The Challenge

Slow mobilisation frameworks were preventing the client from responding rapidly to complex defence procurement requests.

The Intervention

Implemented a secure, rapid-response AI framework that sped up the proposal development process without compromising security.

The Result

  • • US$4M+ Contract Value
  • • 5 Day Proposal Turnaround
  • • 100% Compliance

Same problem?

Which of those looked like your business?

If one of these read like your own operation, the useful next step is not a proposal. It is twenty minutes working out whether the same thing is actually available to you, and saying so plainly if it is not.

You speak to Chris, not a junior. Or email chris@igniteaisolutions.ai.

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