Six things we do, and the problems each one is for.

What it solves

• Off-the-shelf software fits most of the process but breaks on the part that matters most
• The real process lives in spreadsheets, email threads and someone's head
• Several tools each do a piece of the job and nothing joins them up
• Growth has made a manual process too slow or too error-prone to keep doing

Typical features

• Role-based access so each team sees only what it needs
• Approval and review steps that mirror how decisions are actually made
• Audit trails on the records that matter
• Reporting built for the questions your managers ask
• Document generation - invoices, run sheets, statements, certificates
• Imports and exports for the systems you cannot replace yet

What it solves

• The same customer or product exists in three systems with three different values
• Month-end reporting is rebuilt by hand because no single system holds the whole picture
• Departments wait on each other for information that should already be visible
• A third-party ERP was priced or scoped for a much larger company

Typical features

• Central database with department modules on top
• Sales, purchasing and inventory kept in step
• Billing and invoicing, including automatic generation and delivery
• Credit control and receivables tracking
• Customisable reports rather than a fixed report list
• Dashboards per role, not one dashboard for everyone

What it solves

• A manual task (classification, drafting, extraction, search) that a model could do faster than a person, every time
• Client data cannot leave your infrastructure, which rules out most hosted AI products
• A frontier model API would be the fastest route, but cost or vendor lock-in is a real concern at your volume
• An existing system needs one AI-powered feature, not a rebuild

Typical features

• Integration with frontier model APIs (OpenAI, Anthropic, Google) where speed to value matters most
• Self-hosted open-source models (Llama, Mistral and similar) where data cannot leave your infrastructure, or per-call cost matters at volume
• Retrieval-augmented generation against your own documents and records
• Structured extraction and classification pipelines
• Human-in-the-loop review for anything that touches a customer or a financial record

What it solves

• The system works but nobody can safely change it
• The original developer is gone and there is no documentation
• It runs on a platform that is no longer supported
• A full rebuild has been quoted and it is not affordable or not worth the risk

Typical features

• Technical audit of the existing codebase and database
• Re-platforming onto a supported stack
• Data migration from the old system with reconciliation
• Strangler approach - new modules alongside the old system, cut over piece by piece
• Documentation of what the system actually does

What it solves

• Staff copy the same data between two systems every day
• A vendor system holds data your own reports need
• A courier, payment or accounting provider offers an API nobody has connected
• Two systems both claim to be the source of truth

Typical features

• REST API design and development for your own systems
• Integration with third-party and vendor platforms
• Scheduled synchronisation with retry and failure logging
• Webhook handling
• Data mapping between systems that model the same thing differently

What it solves

• The application has slowed down as data has grown
• Small changes wait months because there is nobody to make them
• Nobody is watching backups, errors or uptime
• The previous developer is unreachable

Typical features

• Bug fixing and patch deployment
• Query and application performance tuning
• New features and change requests, scoped and quoted individually
• Reinstallation and environment setup
• Annual maintenance arrangements after the warranty period