From messy data to functional AI.
AI consulting is delivered by a single senior team offering AI strategy, data consultancy, AI development, and data migration, all supported by one model built outward from the data core.
Shipshape Data offers AI consultancy services that aim to deliver specific results. The outcomes may consist of an AI strategy, a well-organised data infrastructure, a deployed AI application, or a successful platform migration. Based in London, we are an AI consultancy and every project follows the same process described below.
Readiness assessments, roadmaps, and business cases are supplied by the same team that carries out the implementation. Our strategy aims to produce a completed project instead of a static document.
Foundations & analyticsData strategy, engineering, analytics, and governance services are offered to organisations that have outgrown spreadsheets.
Build & integrateCustom AI applications, agents, and chatbots are built by us. They are created from data that adheres to established guidelines and are integrated directly into your existing work processes.
Move & moderniseWarehouses, databases, and cloud systems are migrated onto a governed foundation by us. Data is reconciled row by row and we provide support after the cutover is complete.
The data foundation serves as the central component. A connective layer surrounds the foundation, enabling models to access the data securely. The outer layer consists of the six visible capabilities. These capabilities rely entirely on the quality of the core foundation. Therefore, every project starts with the central data layer and progresses towards the outer functions.
The model is composed of pages. Any section can be selected to view more detail.
We migrated the cloud data warehouse, medallion architecture, and semantic layer together with the data and machine learning models. This layer acts as the foundation for the rest of the system.
ConnectiveThe intelligent layer includes MCP and the connections that link your data to business outcomes, with safety and governance throughout.
RAG and vector search use your governed data so AI answers are sourced from verified data.
Summarise & extractDocuments, emails, and PDFs are converted into short summaries and organised data by us.
Classification & taggingContent is categorised, entities are recognised, and items are routed automatically at scale.
Visualise & predictDashboards, forecasts, and predictive models that your teams can trust are provided, based on a single version of the truth.
Conversational platformsCustom AI chat tools that use your data and match your brand voice are built by us. These tools integrate directly into your existing workflows.
Workflow automation & agentsAI features and agents are embedded into your existing workflows so work progresses without manual coordination.
The same model, pointed at specific sectors: manufacturing, private equity, supply chain & logistics, facilities management, and IoT & telecoms.
If you are unsure which service fits your problem, you may contact us to describe your situation. Most projects need two or three services because they share the same foundation. Please Talk to us to discuss your needs.
An AI consultancy assists an organisation in identifying suitable AI applications, prepares the data, constructs the systems, and maintains them after they are operational. A comprehensive evaluation must take data preparation into account, since many AI projects fail due to data issues rather than model issues. We begin by concentrating on this stage.
We offer four services: AI strategy, data consultancy, AI development, and data migration. Below these services lies the data foundation, the Model Context Protocol (MCP) layer that links models to governed data, and six capabilities ranging from RAG and document intelligence to AI agents. Most engagements involve two or three of these services, all built on a single foundation.
We set up the data foundation prior to commencing any other work. We have turned down projects in which clients asked to skip this step. The same team members who create the strategy also carry out the work, guaranteeing that responsibilities are not handed off to a different group. We remain involved after the initial launch. A system is not considered complete if it works on day one but becomes unstable after three months.
Indeed, this is the most frequent starting point for our projects. A stalled pilot program typically points to data issues rather than model issues. Such issues often involve conflicting definitions across systems, missing approvals for data access, or outdated documentation. We start by pinpointing which of these problems are present and fixing them before constructing any new components.
Yes. We are based in London and serve organisations across the UK and internationally. We operate remotely or on-site depending on the project's requirements. The quality of your data and your AI goals matter more than your location, so please provide those details first.
We determine the project scope before giving a written price. We bill for a fixed outcome rather than an open-ended day rate. The scope depends on the current condition of your data and your AI implementation goals. Our initial conversation concentrates solely on these factors. To give a sense of scale, the Smarter Services project required 14 weeks from start to the delivery of a live dashboard. If you are comparing firms, our guide to how to choose an AI consultancy lists the questions to ask regarding scope and pricing.
Tell us where your data is today and what you want AI to do. We'll come back with a straight answer on what your foundation needs and where the quickest real win is.
Talk to us