Professional Services
Automating document review, client comms, and admin overhead.
Service · 03 / 05
AI-Powered Solutions
We build practical AI tools that solve real business problems. Not hype, not gimmicks, just useful software.
Overview
AI applied where it actually helps.
AI is everywhere right now, and most of it is either oversold or under-delivered. We focus on the practical end: building tools and integrations that actually save time, automate the right things, or make better use of the data you already have. No buzzwords, no magic; just well-applied technology.
That might be a custom chatbot trained on your business, an automation that removes repetitive work, an AI feature inside your existing product, or a tool that processes documents, images, or data faster than a human team could. We figure out where AI genuinely helps and where it doesn't.
What's Included
Five clear deliverables.
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01
Custom Chatbots & Assistants
AI trained on your business, your tone, your knowledge.
Chatbots and AI assistants built using models from OpenAI, Anthropic, or open-source alternatives, grounded in your business's actual knowledge through techniques like retrieval-augmented generation (RAG). The result is an assistant that answers as your business would, not a generic chatbot pretending to know things.
What's typically included
- Model selection based on use case and budget
- Custom prompt engineering and tone tuning
- Retrieval-augmented generation over your own documents
- Integration into your website, app, or internal tools
- Monitoring and ongoing refinement
Common use cases
- A customer support assistant trained on your help docs
- An internal knowledge assistant for staff to query company information
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02
Workflow Automation
AI-driven automations that remove repetitive work.
Automations built around AI to handle the kind of repetitive, judgement-based work that wastes a team's time: summarising emails, categorising documents, drafting responses, processing forms. Built using a mix of AI APIs, automation platforms, and custom logic.
What's typically included
- Workflow audit to identify automation opportunities
- AI-driven processing of text, documents, or data
- Integration with existing tools (email, CRM, spreadsheets, etc.)
- Human review steps where accuracy matters
- Monitoring and reporting on automation performance
Common use cases
- An inbox where incoming enquiries are categorised and summarised automatically
- A back-office process where forms are processed and routed without manual triage
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03
AI Feature Integration
Adding intelligent features to your existing product.
Existing products enhanced with AI features: smart search, recommendations, content generation, summarisation, classification, or natural-language interfaces. Built to fit cleanly inside what's already working, not bolted on awkwardly.
What's typically included
- Feature scoping and feasibility assessment
- Model selection and integration
- UI and UX design for the new feature
- Backend changes to support the feature
- Testing and refinement based on real usage
Common use cases
- Adding smart search to an existing platform
- Adding AI-generated summaries inside a SaaS product
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04
Document & Data Processing
Tools that read, summarise, and process information at scale.
Tools that take piles of documents, emails, transcripts, or unstructured data and turn them into structured, useful information. Built using AI models for extraction, classification, summarisation, and search.
What's typically included
- Document ingestion and parsing
- AI-driven extraction of key information
- Classification, tagging, or routing
- Searchable outputs stored in a database
- Dashboards or exports for the team to use
Common use cases
- Processing invoices, contracts, or compliance documents at volume
- Summarising long-form content for internal review
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05
Custom Model Integration
Working with OpenAI, Anthropic, and open-source models to fit your use case.
Different problems suit different models: the latest GPT or Claude model for nuanced reasoning, smaller fine-tuned models for cost-sensitive use cases, open-source models for privacy-critical work. Model selection, configuration, and integration handled end-to-end.
What's typically included
- Model evaluation across providers
- Cost and performance benchmarking
- Integration with your application or workflow
- Fine-tuning or RAG setup where needed
- Privacy and data-handling design
Common use cases
- A business comparing OpenAI vs Anthropic vs open-source for a specific use case
- A privacy-critical workflow where open-source models running in your own cloud make more sense
Industries We Serve
Where AI does the heavy lifting.
Retail & E-Commerce
AI for product recommendations, support, and customer insight.
Healthcare
Assistive tools that handle paperwork so professionals can focus on people.
Finance
Smart automations for reporting, reconciliation, and analysis.
Construction
Estimating, scheduling, and site-data tools powered by AI.
Education
Tutoring, grading, and content tools that support teachers and students.
Process
How the work moves.
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Discover
Identifying where AI genuinely helps, what data you already have, and what success looks like.
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Design
Mapping the workflow, choosing the right model and approach, and prototyping early before committing to a build.
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Build
Implementing the integration cleanly with proper data handling, guardrails, and evaluation in place from day one.
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Deliver & Support
Monitoring quality in production, iterating on prompts and models, and staying available as the use case evolves.
FAQ
Common questions.
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No. We build with privacy in mind and use providers and configurations that keep your data yours.
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Not at all. We'll handle the technical side and explain decisions in plain English.
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Sometimes yes, sometimes no, and we'll tell you honestly. We won't sell you AI for the sake of it.
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It varies widely by scope. We'll scope it properly and quote a fixed price before any work starts.
Have something else on your mind?
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Let's see where AI actually fits.
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