We build dependable AI tools and automations around real business processes, from document handling and customer support to internal knowledge and operational hand-offs. The work starts with a clear use case, sensible controls, and an integration plan, not AI for its own sake.
AI that handles the busywork — so your team sells, serves, and scales.
Reduce repetitive work while keeping people in control of sensitive decisions.
Based in London, we deliver AI automation for clients worldwide. Discovery, workshops, implementation, and support run remotely. In-person London sessions are available when a project needs them.
Connect forms, inboxes, documents, and business systems to route work, draft responses, extract information, and keep people in control of exceptions.
Create permission-aware tools that help teams find and use approved company information without searching across disconnected sources.
Assist service teams with triage, summaries, suggested replies, and escalation while retaining human review for sensitive or uncertain cases.
Every engagement is scoped around the problem, the people using the result, and the evidence that will show it is working.
We map the current process, users, systems, risks, and measurable business objective before selecting an AI approach.
We test representative inputs, define expected behaviour, and validate quality, cost, latency, privacy, and failure handling.
We connect the solution to your tools, add monitoring and human checkpoints, document it, and refine it using real operational feedback.
Professional services · Financial services · Healthcare operations · Retail and ecommerce · Property · Logistics · Technology
Straight answers to the questions teams usually ask before commissioning this work.
Good candidates are repetitive, information-heavy workflows with clear inputs, outputs, and escalation rules. We first check whether conventional automation would be simpler and use AI only where it adds practical value.
Usually, yes. We assess available APIs, authentication, data formats, permissions, and operational constraints before recommending an integration design.
We use scoped tasks, representative evaluations, structured outputs, access controls, logging, human review, and fallback paths appropriate to the use case. No AI system is treated as infallible.
Yes. We serve clients worldwide from London, using remote workshops and delivery as standard and agreeing in-person sessions when useful.
Practical guides on costs, risks, delivery choices, and supplier questions.
Learn how to choose a worthwhile AI automation use case, assess suppliers, control data risk and move from a small pilot to a dependable business process.
Read guideDecide whether to configure SaaS, integrate existing products or commission bespoke software using a balanced framework for value, risk and ownership.
Read guideLeave your email and a line about the project. We will send a one-page outline for ai development & automation, including scope, timeline bands, and what to decide first.
Thirty minutes with a senior engineer. You leave with a clear plan, or an honest answer if we are not the right fit. Usually within one business day.
