AI Consultancy

We start with your business goals, everyday team tasks and repeated steps. Rather than introducing AI everywhere, we define the contribution expected from each use case. Content drafts, document summaries, access to internal knowledge and assistance for customer service can be considered at this stage.

Candidate use cases are prioritised by expected value, data requirements, feasibility and team capacity. Work supported by existing systems is distinguished from needs requiring additional development. We define a baseline and measurement method before assessing time or cost savings; a fixed saving percentage is not assumed.

We prepare criteria for comparing available AI tools and custom development options around your requirements. Usability, output quality, language needs, integration options, licensing and operating costs are considered together. The same model or tool is not appropriate for every task.

We assess what information may be entered, who may access it, where it is processed and how long it is retained against the relevant product terms. Your company’s authority and approval processes apply to confidential and personal data. Legal assessments and corporate policy approvals remain decisions for the responsible people in your organisation.

We plan an initial pilot around a bounded use case and suitable sample data. Inputs, expected outputs, users and acceptance criteria are defined in advance. Output accuracy, consistency, task duration, usage costs and user feedback are selected as measures according to the use case.

Responsibilities for reviewing and approving AI outputs are made explicit. Information sent to customers, published content or workflows that initiate actions require a defined review process and an approach to errors. Pilot findings inform a rollout decision; they are not presented as proof that the same result will occur across the entire business.

The roadmap defines the first use case, responsible teams, required data and technical dependencies. We separate work that can start with an existing tool from requirements involving a website, admin panel, CRM or other systems. This turns advisory findings into practical next steps.

Software development and integration work can be specified and quoted separately when needed. Licences, third-party services, usage charges and maintenance responsibilities are identified separately. Guidance or training on the tasks, tools and review steps your team will use can also be planned within the agreed scope.

Success is evaluated against the selected business use case. Review time, output quality, error types, adoption and total usage cost may be relevant measures. The baseline and pilot results are assessed using consistent criteria, supporting a recommendation to continue, revise or take a different approach.

AI consultancy concerns how a business uses AI. A brand’s discoverability in AI-powered search is the focus of our GEO / AEO service. Both can be planned together with separate objectives, deliverables and budgets. Share your project and priority requirement to define a suitable starting scope.