Search across business documents
Help staff find answers in approved material, with source references and access controls that follow the underlying documents.
Appycodes for UK businesses
Practical AI for the way your business works
Reduce the time your team spends finding information, preparing documents and handling repeated questions. We build AI features connected to your business data, starting with a focused pilot and clear measures of quality, running cost and operational value.
UK service editionView the global service
Where we can help
Choose a task with a clear owner and a useful outcome. We test whether AI improves it before expanding the system or connecting it to more sensitive work.
Document preparation and extraction
Turn transcripts or incoming documents into structured drafts for review. Keep uncertain fields visible and avoid silently filling gaps.
Customer support assistance
Answer repeat questions from an agreed knowledge base and route unresolved requests to a person with the context they need.
Connected workflow assistants
Prepare or carry out clearly defined tasks across existing tools, with permissions, approval steps and a record of actions.
The details we plan with you
Start with UK business material
Evaluate the system using your terminology, documents and customer questions. Include dates, amounts, exceptions and examples that are common in your operations.
Decide where information can go
Agree approved providers, data access, retention and hosting requirements with your organisation. Include the engineering team's access in that review.
Keep people responsible for decisions
Set review points for important outputs and actions. Give staff the source material and a practical way to correct or reject a result.
Relevant delivery experience
Examples from our published project record, with the scope of the work made clear.
A UK consultancy
An AI-assisted sales and delivery platform connecting transcripts, briefs, quotes and a client portal. Failed generation left an empty field for review rather than fabricated analysis.
A UK agency
An SEO and GEO content operations platform with a quality gate and integrations for multiple data providers.
A clear plan from the first conversation
You work with our founder-led engineering team in India. We agree communication, access and delivery responsibilities with your team before work begins.
- 01
Choose a measurable pilot
Define the task, baseline effort, representative examples and acceptable error cases before selecting a model.
- 02
Connect approved information
Build the retrieval or document pipeline with access controls and source references.
- 03
Evaluate the outputs
Test quality, response time and cost. Review mistakes with the people who understand the business process.
- 04
Roll out with controls
Add monitoring, feedback and fallbacks, then expand only where the evidence supports it.
What you receive.
We agree the scope with you before development starts.
A scoped AI feature
An assistant or automation connected to the agreed documents, data and workflow.
An evaluation set
Representative test cases, observed limitations and quality checks that can be rerun as the system changes.
Operating controls
Cost and usage visibility, access boundaries, human review points and a documented fallback.
Technology chosen around the work
Selected to fit your product, existing systems and delivery requirements.
Python
Claude- LLM APIs
PostgreSQL
Supabase
Redis
Docker- REST APIs
Common questions
01Where should a UK SME start with AI?+
Start with a repeated task whose current effort and quality you can measure. A narrow pilot using representative data is easier to assess than an organisation-wide assistant with an unclear purpose.
02Can the system use confidential business information?+
That depends on your requirements and the selected providers. We agree data flows, permissions, retention and access before implementation, and use only the information approved for that workflow.
03How do you reduce incorrect answers?+
We use relevant source material, representative evaluation cases, visible uncertainty and human review where the consequence of an error warrants it. No model or retrieval setup removes every mistake.
04How will we know whether it is worth the cost?+
We compare the pilot against the agreed baseline, including time saved, review effort, error rates and ongoing usage costs. Those results inform the next investment decision.
Useful guides and tools
Let’s work out your next step
Bring one workflow that takes too much time. We’ll assess whether AI can help and what a useful, measurable pilot would look like.
UK correspondence: Spencer Mawer · spencer@appycodes.com