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AI, from understanding to implementation.
A prioritised set of AI use cases, a defined pilot and success measures, followed by implementation and adoption support where needed.
Find your starting point- UnderstandMake sense of the possibilities
- ChooseMatch the approach to the work
- ImplementConnect, test and introduce
- ImproveSupport people and measure results
Where are you starting from?
You may be exploring AI for the first time, working around disconnected experiments, or ready to put a proven idea into production.
We examine time-consuming tasks, information gaps and decisions that need better support. Together, we identify opportunities worth testing.
Support can begin with a leadership briefing, a team workshop or a defined implementation assignment.
Explore the applicationsDifferent work needs different kinds of AI.
Start with what you want to achieve. Open an option to see how it works and where we help.
Chat assistants & copilotsHelp people write, analyse and get work done.
Assistants support a person through conversation: drafting a response, summarising a report or exploring an idea. We help select the tools, establish appropriate use and train teams to check the results.
For example: preparing a first draft of a client update for a colleague to review.
Business knowledge & document toolsFind and use information across your organisation.
Connect an assistant to approved documents and business information, with access permissions and source references. We help organise the content, design retrieval and test whether answers are useful and supported by the sources.
For example: finding the relevant policy and explaining what it means for an internal request.
AI-enabled workflowsAdd judgement to a defined sequence of steps.
Combine established rules with AI for tasks such as classification, information extraction and drafting. We map the process, connect the systems and define how exceptions reach the right person.
For example: extracting information from an incoming document and preparing a record for approval.
Agents & connected toolsLet AI select steps and use tools to complete a task.
An agent can gather information, choose its next step and call connected tools within defined permissions. We design those connections, test behaviour and establish approval points before consequential actions.
For example: investigating a service request across approved systems and proposing the next action.
Autonomous & multi-agent systemsDelegate bounded work with clear operating limits.
Autonomous agents can continue a task without a person directing every step. Multiple agents can divide work where that adds value. We assess whether either approach is justified and define access, spending limits, monitoring, escalation and stopping conditions.
For example: monitoring an agreed information source and preparing a briefing, escalating uncertain findings for review.
These are choices, not a ladder you have to climb. A focused assistant or predictable workflow may be the right solution.
The foundations behind a useful application.
You do not need to become an AI specialist. We help you understand the choices that affect value, reliability and control.
For your public website, read Your website and AI: what should you control?
Models: LLMs, SLMs & multimodal AIChoose capability, cost and deployment together.
Large language models (LLMs) support a broad range of language tasks. Small language models (SLMs) can suit narrower tasks and constrained environments, depending on their capability. Multimodal models also work with inputs such as images or audio.
We compare options against your own tasks, including accuracy, speed, running cost and hosting requirements. We explain the trade-offs between managed services, open-weight models and private deployment.
Company knowledge, context & dataGive the application the information it needs.
Retrieval-augmented generation (RAG) brings relevant information from your sources into a model’s context. It differs from fine-tuning, which changes model behaviour through additional training. Neither removes the need to evaluate results.
We assess data quality, ownership, permissions and freshness, then decide whether prompting, retrieval or model customisation is appropriate.
Connections, permissions & evaluationMake the application fit your environment.
We design integrations with business applications through APIs and suitable connectors, including Model Context Protocol (MCP) where supported. We define what the system can read and change, and how credentials and approvals are managed.
Representative test cases check output quality, unsupported answers, access boundaries and tool use before release. Logging and review make problems visible once the application is running.
Tools we work with.
Our experience spans assistants, development tools and agent frameworks. Selection depends on the task and your existing environment.
- Assistants & AI platforms
- Claude · OpenAI · Grok · Grok Bot
Understanding the options for everyday assistance, research and business applications.
- AI-assisted development
- Cursor · OpenAI Codex · Claude Code
Using AI within development workflows to help build, review and improve applications.
- Agent frameworks & tooling
- LangGraph · CrewAI · Microsoft agent tools · OpenAI Agents SDK
Connecting tools, coordinating agent tasks and defining where people stay involved.
A clear next step at every stage.
We lead the work from discovery through delivery, agreeing responsibilities with your team and any specialist partners. Each stage gives you something concrete to take forward.
Understand the work
Map the process with the people who use it. Establish the current effort, friction and desired result.
What you take forwardA clear problem and measures of success.
Prioritise the opportunity
Compare value, feasibility and risk. Decide what to pursue and whether existing tools are sufficient.
What you take forwardAn agreed use case and investment decision.
Design the solution
Select models, knowledge sources and integrations. Set ownership, permissions and human review points.
What you take forwardA delivery scope and technical design.
Build and test
Configure or develop the application with your team and delivery partners. Test real scenarios, failures, quality and running costs.
What you take forwardA working pilot and evidence for a release decision.
Introduce it into daily work
Integrate the approved solution, train users and establish support. Roll out in manageable stages with a fallback if it fails.
What you take forwardA supported application with clear owners.
Measure and improve
Review usage, outcomes, cost and exceptions. Re-test when models, data or workflows change.
What you take forwardAn improvement plan grounded in operating results.
One business need. A proportionate solution.
An illustrative example: a team spends too much time finding information and preparing responses to internal requests.
Make the information usable
We establish which sources are reliable, who can access them and how they stay current.
Start with supported answers
A knowledge assistant finds relevant material and drafts a response with references. Staff review the result and highlight gaps.
Add actions where they help
If the evidence supports it, a connected workflow can prepare an update in the business system. Any write access and approval rules are agreed before enabling it.
An example of the approach, not a client case study or a required progression to autonomous operation.
Support after launch.
Users need somewhere to raise questions and a clear response when results are wrong.
We help establish support, usage guidance, performance reviews and a route for handling errors. Access, costs and approval boundaries remain visible as adoption grows.
Support is available by project, hourly or on retainer. We agree the delivery responsibilities, capacity and fees around your starting point.
How engagements workLet’s find your next step with AI.
Bring one technology challenge to a 30-minute call. We’ll discuss the decision, what you already know and a practical next step. Scope and fees are agreed before paid work begins.