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Our approach

A clear plan. People who can deliver it.

Start with a business question, establish the evidence and give your teams a practical route to action. We support the work through to evaluation.

The scope follows your priorities, your organisation and the decisions you need to make.

A useful starting point

Make the question specific.

“How should we use AI?” is too broad to guide a project. “Why are competitors recommended for our priority category?” or “Can our support team find approved answers faster?” gives the work a clear purpose.

We agree the markets, audiences, platforms or workflows to assess. We also establish who will use the findings and what decision they need to support. That keeps the engagement focused.

From question to delivery

Assess. Plan. Support delivery. Evaluate.

The depth of each stage depends on your starting point and delivery requirements.

01

Assess

Agree the business questions and review the relevant AI answers, content, data, access controls or workflows. Compare observations with approved information and establish the baseline. Bring material issues to the owners who can assess them.

You receive: A scoped assessment with evidence, findings and the decisions they support.

02

Plan

Prioritise actions by commercial value, material risk, effort and dependencies. Separate changes teams can make now from work that needs a pilot, an integration or specialist review. Agree ownership and validation before delivery starts.

You receive: An executive briefing and prioritised roadmap with proposed owners, dependencies and acceptance criteria.

03

Support delivery

Work alongside your content, search, engineering, data and programme teams. Turn recommendations into useful briefs and requirements, review implementation and support the agreed pilot. Fit the work into your existing delivery process.

You receive: A delivery backlog, implementation guidance and review of the agreed changes.

04

Evaluate

Repeat comparable observations and assess the pilot against its original criteria. Review quality, adoption, costs and any remaining issues. Use the findings to decide whether to refine, extend or stop the work.

You receive: An evaluation of progress and a recommendation for the next stage.

Working with your organisation

Bring the right people into the work.

Enterprise delivery crosses departments. We agree who sponsors the work, who owns the information and who can make the changes. We include reviews and approvals in the plan.

01

Executive sponsor

Set the commercial priority, resolve competing needs and decide how the findings affect investment. We make the choices and dependencies clear enough to support that decision.

02

Information and specialist owners

Content, product and subject experts define the approved references and important conditions. Security, legal and other specialist teams review the parts that fall within their remit.

03

Delivery teams

Search, engineering, data and operational teams own implementation. We provide requirements they can review, fit to their systems and validate through the existing release process.

Evaluating progress

Agree what a good result looks like.

Before a change or pilot begins, we define the baseline, evaluation criteria and information needed to judge the result. We explain material limitations.

AI visibility

Compare mentions, citations, recommendations and accuracy across an agreed question set. Record the platform, market, date and test conditions. Repeated samples help distinguish a pattern from an isolated answer.

Commercial outcomes

Use relevant analytics to assess enquiries, sales or other business outcomes. AI visibility alone does not establish revenue impact. Where attribution is incomplete, we explain what the evidence can support.

Internal workflows

Compare task quality, completion time, review effort and cost with the current process. Understand whether people use the tool and where it still needs human judgement.

Your first conversation

Bring the priority. We will help define the scope.

Tell us where the issue sits, which markets or teams are involved and what prompted the conversation. Share the AI answers, data issue, access concern or internal task you want to investigate.

We discuss the evidence you already have, relevant owners, delivery constraints and the next decision. We can then propose a scope.

Explore SWLR

Choose the next step that fits.

01

Services

Find the assessment and delivery support that matches your priority.

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02

Technology

See how technical evidence informs the recommendations.

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03

Industries

Explore the commercial and operational concerns in your sector.

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Explore the technical work

Common questions

Before we begin.

What happens before access is granted?

We agree the scope and identify the minimum access needed. Public information may be enough for an initial visibility assessment. Work involving internal systems follows your access, security and procurement processes. We clarify permissions and data handling before that work begins.

Can this fit our existing roadmap?

Yes. We assess the current programme and delivery constraints before recommending additional work. Existing research, platform choices and governance inform a roadmap your teams can deliver.

What happens after an assessment?

You receive findings and a prioritised plan. Your teams may take it forward, or SWLR can support the agreed delivery and evaluation. We make that decision around your requirements and available capacity.

Signal → Evidence → Action

Start with the questions that matter.

Tell us the question you need answered and the teams involved. We can discuss the evidence, the scope and a practical first engagement.

Discuss your AI strategy