Bespoke AI Development & Integration
Bespoke AI Development & Integration

Bespoke AI Development & Integration

The best place to start with AI is a problem your business knows well. Skywire provides custom AI development, AI integration and workflow automation for luxury, lifestyle and heritage brands. We build tools that work with your information, your systems and the people who use them.

Whether your team needs to find reliable product information, prepare customer responses or organise supplier documents, we help assess the opportunity and turn a promising idea into working software.

Explore what AI could do for your team.

Discuss an AI project

Practical tools for real business needs

What does the task involve today? Which information can be trusted, who needs to check the result and what happens when something goes wrong? We start with those questions, then decide whether an existing product, conventional software or a custom AI tool is the right fit.

The examples below are potential applications, not descriptions of completed client AI projects.

Internal knowledge tools

Help people search approved documents and product information, with references they can follow back to the source. A heritage brand, for example, could help its teams find approved provenance and care information when answering customer questions.

Workflow automation

Extract and organise information from documents, classify requests and prepare updates for approval. A lifestyle brand could turn supplier documents into structured product updates, passing exceptions to its operations team.

Customer service and clienteling support

Bring relevant information together and prepare responses for a person to review. A luxury retail team could use permitted customer records and approved product information to prepare a briefing before an appointment, leaving the conversation and judgement with its advisers.

Product and content operations

Help teams check product attributes and prepare draft descriptions. A beauty or fashion brand could flag missing information before publication, with editors responsible for the final copy and product accuracy.

Connected to your technology

An AI tool needs a useful place in the working day. We can connect it to ecommerce platforms, content management systems, CRM, product information and other applications, subject to their integration capabilities.

We bring the interface, access permissions, system connections and review steps together, so the people using the tool can understand what it has done and investigate failures.

Related services: Bespoke Development, Systems Integrations and Technical Strategy.

Related software and integration work

These projects demonstrate our wider software and integration experience; they are not AI implementations.

  • Ouronyx: customer and staff software connecting appointment requests, clinic systems and communications.

  • Eventis for IIAA: a consumer experience connecting consultations and treatment plans with recommended products through BigCommerce and bespoke integrations.

From discovery to a working tool

  1. Define the opportunity. Examine the task, users, available information and success criteria, including whether AI is appropriate.

  2. Test representative examples. Assess a focused prototype against straightforward and difficult cases, including quality, response time and operating cost.

  3. Build and integrate. Develop the interface and connections, with appropriate permissions, review steps and error handling.

  4. Introduce and improve. Support rollout, monitor against the agreed criteria and refine the tool as needs change.

Our discovery and advice are part of building and integrating a solution; this service is distinct from standalone AI strategy consulting.

Data, judgement and control

AI can produce incomplete or incorrect answers. The checks and human approvals should reflect the task and the consequences of a mistake.

We agree what information a tool may access, who can use it, what it can do and where a person must approve its output. Provider selection includes reviewing data-use terms, retention settings and hosting requirements. Testing and monitoring cover output quality as well as software operation.

Frequently asked

Do we need to know exactly what to build?

No. Bring a recurring problem or an idea to explore. Discovery helps establish whether AI is suitable and what a useful first version could do.

Can you work with our existing platforms?

We assess your systems and integration options before recommending an approach, including any additional work or platform changes needed.

Do we need to train our own AI model?

Not necessarily. An existing model, approved information and purpose-built software may be suitable. We evaluate the options against your requirements.

How do you measure whether it works?

We agree measures during discovery, such as output quality, manual correction, adoption, task time or cost per workflow. A prototype provides evidence to inform a wider rollout.

Have a process or idea worth exploring? Tell us what your team is trying to achieve, which systems are involved and where the current approach falls short. We’ll help identify a practical next step.

Discuss an AI project