AI that becomes useful in everyday work.
Find knowledge, prepare enquiries and connect workflows. We develop AI applications around a specific task, with your systems, results you can assess and clear approvals.
The demo looks promising. Now it needs to help at work.
Your team is experimenting with AI. But information sits in different systems, answers need checking and the next step still happens manually. Integration starts here: which task should become easier? What information may the application use? And what turns a suggestion into a useful result? We bring concept, UX and development together around a defined first use case.
Good integration improves both the work and its outcome.
A useful assistant makes sources traceable, highlights missing information and makes handover to people easier. AI can then help teams prepare more thorough answers, access knowledge and shorten repetitive work. We assess whether it does so through agreed tasks, considering output quality, corrections, processing time and ongoing effort together. We take responsibility for concept and quality.
Three possible tasks for a first pilot.
These examples describe possible applications. Their suitability depends on your workflows, data and interfaces.
Find knowledge with sources
A team searches approved product documents or manuals for answers. The application shows relevant passages and highlights missing or contradictory information. Access permissions also apply to search.
Prepare enquiries for review
An incoming enquiry becomes a structured draft: the request, available details, open questions and a proposed next step. A team member reviews it and brings it into the agreed workflow.
Move content between systems
Approved content is prepared for another channel. Required fields, format and sources are checked, with publication subject to an agreed approval. A rules-based interface may be sufficient for straightforward data transfers.
A pilot you can make an informed decision about.
We start with one task, a named user group and a manageable set of data sources. An initial conversation clarifies your starting point. We then agree the work package, cost, access, test cases and acceptance criteria.
A usable test version
The agreed workflow is tried with approved test data. The team can read results, check sources, report problems and accept or reject a suggestion.
A documented evaluation
We compare typical tasks and difficult cases with the existing workflow. We record useful results, corrections, limitations and the expected operating effort.
A decision on the next step
You receive a recommendation to adapt, test further or prepare for production. A simpler solution can also be the outcome. A test version is not yet a production integration.
From access to approval, considered together.
We review existing APIs, identities and permissions. Reading, drafting and making changes are separate capabilities. Allowed actions are enforced technically; a prompt instruction alone is insufficient. Consequential actions have defined approval steps.
Tests include missing or outdated information, unauthorised access and manipulated content. For operations, we agree logging, spending limits, ownership and a path to manual handling. Model or source changes can affect results and therefore require reassessment.
Creative Engineering means designing the whole interaction.
The interface helps people decide how much to trust an application. Where is a source shown? When does the assistant ask a question? How can someone correct a faulty suggestion? We design these moments alongside the business rules and technical connections.
Your existing CMS, CRM or service systems may remain part of the solution. We assess whether a standard tool, an extension or a custom application fits the task. Interfaces, licences and operating conditions determine the feasible scope.
How we deliver
Define the task and baseline
We choose a recurring workflow and describe how users will recognise a good result.
Review data and access
We clarify sources, freshness, usage rights, interfaces and the actions the application may take.
Design and develop the pilot
We build the agreed workflow with a clear interface, source references and approvals.
Evaluate with the team
Typical tasks and failure cases show where the application helps and where it needs improvement.
Decide on operations and expansion
We document limits, ownership and costs. The next step follows from the pilot evaluation.
Questions about AI integration
Sources and technical context
- OWASP: Excessive Agency
Technical background on limited tool permissions and approvals in AI applications.
Related next steps
Which task should AI make easier for your team?
Describe the current workflow, systems involved and desired result. Together, we will define a useful first pilot.
Discuss your AI use case