AI consulting & strategy
Turn interest in artificial intelligence into a practical business plan. We help identify useful applications, understand the information they need, and define a pilot that can be evaluated before a wider investment.
THE BUSINESS CONTEXT
An AI project begins with a business question: which task takes too much time, which information is difficult to find, or which service could be easier to use? Starting there creates a better brief than choosing a model first and searching for a problem afterwards.
Plateau combines a foundation in enterprise IT with hands-on AI exploration and application development. Our consulting approach connects the opportunity with the data, people, integration work, review requirements, and operating costs needed to make it useful.
YOUR FIRST ENGAGEMENT
Discovery Engagement
Map three candidate workflows and define one pilot with a baseline, budget assumptions and acceptance criteria.
Discuss This PilotProcess examples, source owners, intended users and the business outcome you want to improve.
Measures are agreed for your project. Results depend on the data, workflow and evaluation; they are not guaranteed improvements.
WHAT WE DO
We map repetitive work, information bottlenecks, and high-volume requests with the people doing the job. Each candidate is assessed for business value, feasibility, data availability, and the consequences of an incorrect result. A knowledge assistant, document summariser, content workflow, or internal drafting tool may offer a focused starting point. Some processes are better served by a simpler rules-based automation.
Useful AI depends on relevant source material and a clear access policy. We examine where information lives, who owns it, how it is updated, and who may see it. The plan identifies missing documents, inconsistent records, personal information, and provider constraints. An assistant should not make material available to someone who could not access the source in the first place.
A pilot needs examples and acceptance criteria. We agree a representative set of tasks, the expected form of the output, a baseline for the current process, and the questions reviewers will answer. Measures can include task completion time, grounded answer quality, reviewer corrections, and cost per completed task. These are evaluation targets for the project, not promises of a fixed percentage improvement.
An AI tool changes how a team works. The roadmap therefore covers training, feedback, review responsibility, escalation, and ownership after launch. We document what the tool can do, where it should decline, and when a person must decide. Budget planning includes integration and maintenance as well as provider usage, so the pilot can inform a realistic production decision.
A DEFINED ENGAGEMENT
Your proposal defines the exact scope, responsibilities, milestones, and exclusions. Depending on the engagement, the work can include:
WHERE IT FITS
Compare AI opportunities before committing to a broad programme.
Identify repetitive work with a measurable baseline.
Define AI features that support a specific user task.
WHO THIS CAN HELP
Explore example workflows and the customer groups these services are designed to support.
A PRACTICAL FIRST STEP
Choose one useful task, agree how the result will be checked, and use the evidence to decide what should happen next.
QUESTIONS, ANSWERED
A focused discovery exercise is usually enough to define an initial pilot. The wider roadmap can develop from the evidence collected during that pilot. The important point is to agree the task, data, users, and evaluation method first.
Yes. We can begin with the existing workflow and explain suitable options in plain language. Workshops and practical examples help teams identify what is useful and what still requires human judgment.
The recommendation follows the use case, available features, data-handling requirements, budget, and integration environment. Provider terms and capabilities are checked during project planning rather than assumed to remain unchanged.
Bring examples of the task, the documents or systems involved, a rough indication of volume, and the person responsible for the process. Use approved or anonymised examples when the material is sensitive.
Yes. If the agreed evaluation supports moving forward, the next stage can include application integration, permissions, monitoring, deployment, and team adoption. Those production requirements are scoped explicitly.
CONNECTED CAPABILITIES
Connect AI reasoning with the tools your team uses.
Explore This Specialty
Help customers and colleagues find information in a natural conversation.
Explore This Specialty
Bring a useful AI capability into an existing application or a new platform.
Explore This SpecialtyA CONVERSATION IS A GOOD PLACE TO START