AI that earns its place in your workflow.
Put AI to work where it genuinely helps your people make better use of time and information.
Discuss an AI ideaUseful tools, not AI for its own sake.
We start with the task, the data and the people involved. Then we decide whether AI is the right tool — and design a solution that fits into your existing workflow.
- AI assistants and internal knowledge tools
- Intelligent search and summarisation
- Document and data workflows
- Classification and workflow support
- API integrations and automation
When AI makes sense. And when it doesn't.
A good fit
Repeated information tasks, document-heavy processes, knowledge retrieval and workflows where an assistant can save meaningful effort.
Not always the answer
When a clear form, a well-structured database or a simple rule-based automation would do the job more reliably.
Human oversight
Important decisions need appropriate checks. We design for transparency, review and a clear role for your team.
Start with a real problem.
We explore the task, available data, existing tools and risks. From there, we prototype the workflow, design the interface, integrate with your systems and refine with real feedback.
What to consider before you build.
Business AI is most useful for bounded information tasks such as searching approved knowledge, classifying documents or preparing drafts for a person to check. KTD designs these around existing processes, access rules and human oversight.
Who needs a custom AI solution?
Teams with repeated information-heavy tasks may benefit when ordinary search, forms or rules cannot handle the variation. An operations manager might need to classify incoming documents; a service team might need answers grounded in an approved knowledge base.
An AI assistant is not a substitute for reliable underlying data. We first ask what the task is, who uses the output, what information is permitted and what happens when the system is wrong.
- Internal knowledge and intelligent search
- Document extraction, summarisation and classification
- Drafting with human approval
- Focused integrations with existing tools
What KTD would actually build
A project can combine a clear interface, retrieval of approved information, structured output validation and a connection to an existing CRM or operational system. A human review point is designed into consequential actions.
The system needs authentication, access boundaries, auditability and a way to correct or reject an answer. We prototype using representative examples before deciding whether a wider release is justified.
From discovery to controlled rollout
Discovery maps the task, current tools, data sensitivity and failure costs. Design defines what the assistant may read and suggest. A prototype tests representative inputs, including ambiguous and poor-quality cases. Development integrates the chosen approach; evaluation and feedback shape a bounded rollout.
Rules-based automation is preferable where decisions are deterministic. An existing AI product can be better when it fits the workflow and its data terms are acceptable.
Integrations, cost and timing factors
Scope depends on document volumes, data preparation, API availability, model usage, permissions, testing and support. Costs include development and ongoing usage; timing depends on access to representative data, approvals and complexity of integration. A fixed figure or timeline would be misleading before discovery.
Limitations include incorrect or inconsistent outputs, changes in model behaviour and third-party dependencies. Sensitive or high-stakes workflows need heightened review and appropriate specialist governance.
Questions worth asking
What is a practical first AI project?
Choose one bounded, repeated information task with representative examples and a clear human review point.
Do we need AI for our automation?
Not always. A form, database or rule-based integration can be more dependable when the process is predictable.
Can it work with our existing systems?
Often, if the tools expose suitable access and integration methods. Permissions and error handling need to be assessed first.
Useful guides for the next decision.
What can AI automate in a small business?
Choose suitable information tasks without handing over important decisions blindly.
Read guide AI & AutomationHow much does AI automation cost for a small business?
Understand discovery, integration and ongoing usage before committing to an AI project.
Read guide AI & AutomationHow to plan an AI integration with existing systems
A grounded guide to connecting AI tools to real business data and actions.
Read guideTalk through your project.
Tell us what needs to work better. We’ll help decide what is worth building.