Discover Where AI Can Save You Time
Most businesses have dozens of manual processes that AI could handle faster, cheaper, and more accurately. An automation audit reveals exactly where those opportunities are, how much they could save you, and which ones to tackle first.
What Gets Audited
The audit covers four interconnected areas of your business. I do not just look at individual processes in isolation. I map the connections between them, because the biggest automation opportunities often sit at the handoff points between teams, tools, and systems.
Every finding is measured against your own workload rather than an industry average. If a process is worth automating, the number comes from timing what your team does today, and you can check the arithmetic. Where a saving cannot be measured, it is not claimed.
Workflow Analysis
I map every step of your key business processes, measuring time, cost, and error rates. This reveals exactly where the bottlenecks are and which tasks are consuming disproportionate resources.
- Process maps with time and cost annotations
- Bottleneck identification and root cause analysis
- Manual vs. automated task breakdown
Tool Evaluation
Your existing software stack has untapped potential. Many businesses pay for tools with AI features they never activate. I evaluate what you already have and identify gaps that need filling.
- Current tool utilisation assessment
- Unused AI features in existing software
- New tool recommendations with cost-benefit analysis
Data Flow Mapping
Data moves between systems, departments, and people. Every handoff is a potential automation point. I trace how information flows through your business and identify where AI can streamline the journey.
- Data flow diagrams across systems
- Manual data transfer points identified
- Integration opportunities and API assessment
Savings Identification
Every recommendation comes with projected time and cost savings. I do not deal in vague promises. You get specific numbers based on your actual workload, team costs, and current processing times.
- Detailed savings projections per automation
- Quick-win vs. strategic initiative classification
- Implementation cost estimates for each opportunity
Typical Findings
These are the workflows worth checking first, because they show up in almost every business.
| Area | Common Finding | Solution |
|---|---|---|
| Document Processing | Manual data extraction from invoices, contracts, or forms | AI-powered document extraction with validation workflow |
| Email Management | Staff manually triaging, routing, and drafting responses | AI email classification with template-based auto-responses |
| Reporting | Weekly or monthly reports compiled manually from multiple sources | Automated data aggregation and AI-generated narrative summaries |
| Customer Queries | Repetitive questions handled individually by staff | AI chatbot for common queries with smart escalation to humans |
| Content Creation | First drafts written from scratch for every piece of content | AI-assisted drafting with brand-aligned prompts and templates |
What You Receive
Your Automation Audit Report
- Executive summary with total savings potential
- Process maps with automation opportunity annotations
- Prioritised automation roadmap (quick-wins to strategic)
- Tool and platform recommendations per automation
- Detailed ROI projections with payback periods
- Implementation complexity ratings
- Risk assessment for each recommended change
- 90-day action plan with milestones
How the money works
A fixed price, agreed in writing before anything starts. No day rates and no hourly billing, so an audit does not get more expensive the longer it takes. If the scope changes, we agree a new number before that work happens.
The figures are published rather than quoted on request, and they live in one place so there is only ever one version of them.
Frequently Asked Questions
What is an AI automation audit?
An AI automation audit is a systematic review of your business workflows, tools, and data flows to identify where artificial intelligence and automation can save time, reduce costs, and improve accuracy. It goes beyond generic advice by analysing your actual processes, measuring the time and cost involved in each, and recommending specific AI solutions with projected savings. The output is a prioritised roadmap, not a wishlist.
How is this different from a general business process review?
A traditional process review focuses on efficiency improvements through restructuring, elimination, or standardisation. An AI automation audit specifically evaluates which processes can be enhanced or replaced using artificial intelligence and automation technologies. I look at things a general consultant would miss: data extraction opportunities, natural language processing applications, predictive modelling potential, and intelligent workflow orchestration.
What types of workflows can AI automate?
Common automation candidates include document processing and data extraction, email triage and response drafting, report generation, customer inquiry handling, invoice processing, content creation and repurposing, meeting summarisation, data entry and validation, scheduling and coordination, and quality checking. The audit identifies which of your specific workflows have the highest automation potential.
How long does an automation audit take?
A typical audit takes one to two weeks. The first few days involve process mapping and stakeholder interviews. The analysis phase takes three to five days, followed by report preparation and delivery. You receive a comprehensive findings document and a walkthrough session to discuss the results, recommended solutions, and implementation priorities.
How do I judge whether the audit paid for itself?
On your own numbers, and the audit is built to give you them. Every recommendation is costed against the time your team currently spends on that task, so each one carries a payback period you can check rather than accept. If the roadmap does not clear the audit fee on your own figures, that is a finding too, and you will be told.
Do you also implement the automations you recommend?
Yes. I can handle the full deployment of recommended solutions, including tool setup, integration, testing and team training. Implementation is scoped and priced separately, based on the specific automations in your roadmap, and you are free to take the roadmap to somebody else. Having the same person audit and implement does mean nothing gets lost in a handover.
Where would you start?
Tell me which job in your week nobody wants to do. The first conversation costs nothing, there is no booking system, and if there is nothing here worth automating I will say so.
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