AI Marketing & Automation

AI Consulting & Strategy

Adding AI to a business is straightforward. Adding it in a way that works, that your team trusts, and that does not introduce new risks requires considerably more thought. EXPRE provides AI consulting grounded in a human-in-the-loop philosophy — practical, measured progress, not promises of instant transformation.

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What Human-in-the-Loop Actually Means

Most AI implementations fail not because the technology is wrong but because the workflow design, the change management, and the human oversight layer were not considered properly.

Human-in-the-loop AI means that AI handles the parts of a task where it excels — processing information at scale, identifying patterns, generating first drafts, flagging anomalies — while humans retain oversight, make final decisions, and provide the contextual judgement that AI cannot reliably replicate.

This is a deliberate architectural choice, not a limitation. Fully automated AI systems make undetected errors that compound over time. Human review at critical decision points catches those errors before they affect customers, finances, or reputation.

It also matters for compliance. In regulated industries, and for any processing of personal data, demonstrating human oversight of AI-driven decisions is increasingly important. EXPRE designs AI implementations with this requirement built in from the start.

What You Get

AI Readiness Assessment

Before committing to any AI implementation, we assess your organisation’s readiness across four dimensions: data quality and availability, technical infrastructure, team capability and appetite, and governance and compliance requirements. The assessment takes two to three weeks and produces a written report with clear recommendations.

Prioritised Opportunity Map

From discovery, we produce a prioritised map of where AI can create the most meaningful improvement in your business, ranked by expected impact and implementation complexity. Some opportunities are quick wins. Others require groundwork. We are precise about which is which — and honest about what the timeline looks like.

Tool Selection and Implementation

The AI tool landscape changes quickly. EXPRE works with OpenAI GPT-4o, Anthropic Claude, Google Gemini, and Mistral, along with automation platforms including n8n and Make.com. We select tools based on your specific requirements, data sensitivity constraints, and budget — not based on what we happen to prefer.

Our AI Consulting Process

1

Discovery

Understanding your current workflows, your team's existing capabilities, the data you have available, and the outcomes you want to achieve. This is a structured series of conversations with the people who do the work, combined with analysis of your existing tools and systems — not a generic readiness questionnaire.

2

Readiness Assessment and Opportunity Map

We assess data quality, technical infrastructure, team capability, and governance requirements. Data is the most important dimension. AI tools are only as useful as the data they can access and act on. We assess your data situation honestly and, where necessary, recommend data foundation work before AI implementation.

3

Pilot Implementation

We start with the highest-impact, lowest-risk opportunity, establish a working pilot, and measure results. Trying to automate everything at once is the most reliable way to automate nothing well. Implementation follows a documented process: integration design, security review, pilot deployment, feedback collection, then broader rollout.

4

Team Training and Ongoing Optimisation

The best AI implementation fails if the people using it are not confident and clear about how it works. We provide practical training tailored to each user group, including how to review AI outputs critically and how to escalate when the AI produces something unexpected. Ongoing optimisation support as the implementation matures.

Who We Work With

We work across professional services, ecommerce, financial services, recruitment, media, and technology. The consulting principles are consistent across sectors, though the specific applications vary considerably. The common thread is businesses that want AI to deliver measurable commercial benefit, not businesses that want to be seen to be using AI.

50+AI Projects Delivered
2-3 wksReadiness Assessment
3-6 moFull Implementation
£4,000Assessment From

Frequently Asked Questions

We have tried AI tools before and they did not stick. What is different about working with a consultant?
Most failed AI rollouts happen because tool adoption was prioritised over workflow redesign. We start with the workflow and design AI into it, rather than adding a tool and hoping behaviour changes. The tool is the last step, not the first.
How long does an AI consulting engagement typically take?
An initial readiness assessment takes two to three weeks. A full implementation project, from discovery through pilot to rollout, typically runs three to six months depending on complexity and organisational pace.
Do we need a data science team to benefit from AI consulting?
No. Most AI applications that deliver practical business value do not require a data science team. They require good workflow design, appropriate tool selection, and disciplined implementation. We provide all of that.
What industries do you work with?
We work across professional services, ecommerce, financial services, recruitment, media, and technology. The consulting principles are consistent across sectors, though the specific applications vary.
What does it cost?
An AI readiness assessment starts from £4,000. Full implementation projects are scoped individually. We provide a detailed estimate after discovery so you know exactly what you are investing in before work begins.

Start Your AI Implementation Properly

Contact EXPRE for a free consultation. We will discuss where AI can make the most meaningful difference to your business and give you an honest assessment of what is achievable.

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AI consulting sits at the centre of our broader AI-enabled business offering.

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