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Most businesses know they should be doing something with AI, but not what, where or at what cost. Our AI audit is a paid first step. We map how the work happens today, find the places where AI or simple automation would save real time, and give you a written, prioritised plan of what to build first and what to leave alone.

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Overview

Know where AI fits before you spend on it.

AI can draft replies, summarise documents, sort requests and pull details out of emails and forms. It can also become an expensive subscription that nobody uses. The difference is knowing which of your tasks it suits, what it will cost to run and what could go wrong with your data.

Our AI audit answers those questions for your business. We look at the real work your team does, test ideas against it and write down what we would build first, what can wait and what is not worth doing. Often the honest answer is a simpler automation, not AI, and we will tell you when that is the case.

Why it matters

Why start with a plan

Buying AI tools before understanding the work usually leads to wasted spend and quiet risks.

Staff start pasting customer details into free chat tools, subscriptions pile up, and pilot projects stall because nobody agreed what success looked like. A clear plan avoids most of this.

  • Nobody is sure which tasks AI could actually help with
  • Staff use AI tools with no shared rules
  • Customer data may be going into tools nobody approved
  • Subscriptions are bought and then barely used
  • Running costs are unclear until the bill arrives
  • Pilot projects start without a clear goal
  • Vendors each claim their tool solves everything
  • Simple automation gets overlooked in favour of AI
  • Leaders cannot compare options on equal terms
What we do

What we do

Socialist Fox helps you decide where AI belongs in your business, choose the right tools and use them safely.

AI Audit

We map how the work happens today, step by step, and find the tasks where AI or automation would pay for itself.

Prioritised Plan

A written plan that ranks each opportunity by value and effort, with clear advice on what to build first and what not to build.

Running Cost Estimates

Plain explanations of what each AI tool or model would cost to run for your volume of work, so there are no surprises later.

Data and Privacy Review

We flag where customer or company data would travel, which tools keep it, and what needs to change to use it safely.

AI Tool Selection

We compare the tools on the table against your actual tasks and recommend the ones that fit, including when you need none.

AI Usage Policy

Clear, practical rules for your staff on which tools to use, what information they may share and when a person must check the output.

Hands-On Team Training

Practical sessions using your own tasks and documents, so your team learns to get useful results and spot mistakes.

Simpler Automation Advice

Where a rule-based automation or a better form would do the job, we say so. It is usually cheaper and more predictable.

How it helps

How an AI audit helps your business

You make decisions about AI based on your own work, not on vendor promises.

Focus on What Matters

You know which tasks are worth improving and which are fine as they are.

Avoid Wasted Spend

You stop paying for tools that do not fit and understand running costs before you commit.

Protect Customer Data

You know where your data goes and have rules in place before problems appear.

Give Staff Clear Rules

Your team knows which tools are approved and how to use them well.

Know What to Build First

A prioritised plan means your first project is the one most likely to pay back.

Make Confident Decisions

Leaders can compare options on the same terms and agree a direction.

Build Real Skills in the Team

Training on your own tasks means AI gets used properly, not just switched on.

Before an AI Audit

  • Unsure where AI fits
  • Tools bought on impulse
  • Unknown running costs
  • No rules for staff
  • Data risks nobody has checked

After an AI Audit

  • Clear list of opportunities
  • Tools chosen for real tasks
  • Running costs explained
  • An agreed AI policy
  • Data risks flagged and handled
Problems we solve

Common problems we solve

If your team keeps asking whether AI could help but nobody has the time to find out, an audit is a good place to start.

  • The business wants to use AI but does not know where to begin
  • A board or owner is asking for an AI plan
  • Staff are using personal AI accounts for work
  • There is no written policy on AI use
  • Several AI tools are paid for but rarely used
  • A previous AI pilot did not deliver
  • Nobody knows what an AI feature would cost to run
  • Customers ask how their data is handled
  • Repetitive admin keeps growing with the business
  • Vendor demos look good but do not match your process
How we work

Our AI audit process

We keep the audit practical, grounded in your real work and written in plain English.

  1. 01

    Agree the Goals

    We start by understanding what you want from AI, which teams are involved and what a good outcome looks like.

  2. 02

    Map How Work Happens Today

    We talk to the people doing the work and map the steps, tools, documents and hand-offs involved.

  3. 03

    Find the Real Opportunities

    We look for repetitive, rule-heavy or text-heavy tasks and judge whether AI, simple automation or no change is the right answer.

  4. 04

    Check Costs and Risks

    For each idea we estimate running costs in plain terms and flag data, privacy and accuracy risks.

  5. 05

    Write the Plan

    You receive a written, prioritised plan covering what to build first, what to leave alone and the tools we recommend.

  6. 06

    Walk Through and Next Steps

    We go through the plan with your team, answer questions and, if you want, help with policy, training or the first build.

Why us

What makes Socialist Fox different

We build AI and automation systems for a living, so our advice comes from what works in practice, and we are happy to recommend less rather than more.

  • Advice from a team that builds, not just advises
  • Honest when simple automation beats AI
  • No ties to any AI vendor
  • Running costs explained in plain terms
  • Data and privacy risks flagged early
  • A written plan you can act on
  • Clear advice on what not to build
  • Training based on your own tasks
Examples

Example areas an AI audit can cover

01

Customer Enquiries

Check whether incoming emails and forms could be sorted, summarised or answered with a draft reply for a person to approve.

02

Document Handling

Review how invoices, contracts or applications are read and keyed in, and whether details could be pulled out automatically.

03

Internal Knowledge

Assess whether staff could find answers in policies, manuals and past work faster with an assistant that draws on your own documents.

04

Reporting and Summaries

Look at reports that are compiled by hand and whether they could be prepared or summarised automatically.

05

Sales and Proposals

Explore whether first drafts of proposals, quotes or follow-up emails could be prepared from your existing templates and records.

06

Staff AI Policy

Set out which tools staff may use, what information must never be shared and when output must be checked by a person.

07

Team Training

Run practical sessions so each team learns to use the approved tools on the work they actually do.

Features

What an AI audit can include

We shape each audit around your business, so it covers what you need and nothing more.

  • Stakeholder interviews
  • Process mapping
  • Task-by-task assessment
  • AI versus automation comparison
  • Prioritised opportunity list
  • Running cost estimates
  • Data flow review
  • Privacy and risk notes
  • Current tool review
  • Tool recommendations
  • Vendor comparison
  • Staff AI usage policy
  • Rules for customer data
  • Human review points
  • Hands-on team training
  • Prompt guides for common tasks
  • Written plan and walkthrough
  • Build recommendations
Third-party costs

Third-party costs we flag upfront

The audit itself does not commit you to any tools. Where we recommend a paid AI tool or model, we explain how it is charged and what it would roughly cost for your volume of work, so you can decide with the full picture.

  • AI assistant subscriptions
  • Per-user licences
  • Usage-based AI model fees
  • Automation platforms
  • Document processing tools
  • Transcription services
  • Data storage
  • Premium software plans
  • Hosting for custom AI features
  • Ongoing monitoring and updates
Questions

Frequently asked questions

Something else on your mind? Ask us directly.

An AI audit is a paid first step for businesses that are unsure where AI fits. We map how the work happens today, find the tasks where AI or simple automation would genuinely save time, estimate running costs, flag data and privacy risks and give you a written, prioritised plan of what to build first.

No. You only need to know how your business works, and your team already does. We explain every recommendation in plain English and avoid technical jargon.

No. Often the honest answer is a simpler automation, a better form or a small change to how work is passed between people. If AI is not the right fit for a task, the plan will say so and explain why.

Yes. We compare the tools you are considering against your actual tasks, data and budget, and recommend the ones that fit. We are not tied to any vendor, so the advice is based only on what suits your business.

Yes. We write a practical AI usage policy that covers which tools are approved, what information must never be shared, how customer data should be handled and when a person must check the output before it is used.

We only ask for the information we need to understand your processes, keep it confidential and do not put your customer data into public AI tools. Part of the audit is checking where your data would travel in any tool we recommend.

You keep the written plan and can act on it with any team you choose. If you want, we can also help with staff training, the AI policy or building the first recommended system.

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