AI that does real work in your business.
We build AI into the systems and processes you already run — extracting data from documents, answering questions from your own knowledge, and automating the repetitive steps — with people kept in control of the results.
What we build
Practical solutions that connect to your data and your software, built and measured against a business outcome.
Intelligent document processing
Extract and validate data from invoices, forms, claims, contracts, statements and scans. AI reads the document, confidence checks flag the uncertain fields, and our verification team or yours reviews exceptions before the data reaches your systems.
- Structured output to your database, ERP or case system
- Handles varied layouts, handwriting and poor scans
- Backed by our own OCR and forms-processing operations team
AI assistants and knowledge search
Let staff or customers ask questions in plain English and get answers drawn from your own policies, contracts, manuals and records — with references to the source, and access limited to what each person is allowed to see.
- Retrieval-augmented generation over your documents
- Assistants embedded in your portal, app or Microsoft Teams
- Source citations and answer logging for audit
AI agents and workflow automation
Automate multi-step work that today is done by hand: triage and routing of emails and requests, drafting responses, updating records, reconciling data between systems and producing reports.
- Integrates with your APIs, email, SharePoint and line-of-business tools
- Approval steps where a person must decide
- Monitoring, cost controls and fallbacks
AI features in your product
Add summarisation, classification, recommendations, natural-language search or conversational interfaces to your web or mobile application, without having to run models yourself.
- Selection and testing of the right model for the job
- Prompt design, evaluation and guardrails
- Secure integration into your existing architecture
Data preparation for AI and analytics
Good AI depends on good data. We cleanse, structure, label and enrich your records and archives so they are ready to use for analytics, search and model evaluation.
- Digitising and structuring paper and legacy archives
- Annotation and labelling by trained reviewers
- De-duplication, standardisation and quality reporting
AI-assisted software modernisation
We use AI-assisted tooling to understand, document and migrate legacy code faster, with engineers reviewing and testing every change before it goes anywhere near production.
- Code analysis and documentation of undocumented systems
- Faster migration to modern, supported platforms
- Automated test creation to protect behaviour
How we deliver AI projects
Identify the use case
We start with a business outcome and measure it — time saved, errors avoided, cost per document — not with a technology.
Prove it quickly
A small pilot on your real data shows what accuracy is achievable before you commit to a full build.
Build, test and measure
Evaluation sets and accuracy reporting, so quality is a number you can see.
Run and improve
Monitoring, cost management and regular tuning as models and your data change.
Tools and platforms
We choose the model and platform that fits your data, budget and compliance needs, rather than defaulting to one vendor.
Responsible by design
- Your data is not used to train public models
- Human review where accuracy or fairness matters
- Access controls, logging and audit trail
- Processing agreed in contract, in line with UK GDPR
- Designed with the EU AI Act and UK AI guidance in mind
- Clear about what AI can and cannot reliably do
Where it fits
Examples of the work this is used for, by sector.
Financial services
Automated extraction from statements, applications and claims; searchable policy and procedure assistants for staff.
Healthcare
Structuring referral letters and forms; summarising long records for administrators, with strict confidentiality controls.
Legal
Clause and date extraction from contracts; searching precedent and matter documents in plain English.
Public sector
Digitising archives; triaging citizen requests and forms; accessible document conversion.
Publishing
Automated tagging and metadata, structured XML creation, summaries and content-quality checks.
Operations teams
Email triage, report generation and reconciliation that currently take staff hours each week.
Frequently asked questions
What AI services does ANYSINFO provide?
We build intelligent document processing, AI assistants and knowledge search over your own data, workflow automation and AI agents, AI features inside your products, data preparation for AI, and AI-assisted software modernisation.
Which AI models and platforms do you use?
We choose per project, including Anthropic Claude, OpenAI and Azure OpenAI, Amazon Bedrock and open-source models, depending on data sensitivity, accuracy, cost and where the data must be hosted.
Is our data used to train public AI models?
No. We design solutions so your data stays within the environment agreed with you and is not used to train public models. This is set out in the contract.
Can AI be used with confidential or regulated data?
Yes, with the right controls: restricted access, audit logging, human review of important results, and processing terms in line with UK GDPR. We explain what AI can and cannot reliably do for your use case.
How do we start with AI?
Start with one process and a measurable outcome. We run a small pilot on your real data to show the accuracy and benefit that are achievable before you commit to a full build.
Have a process you think AI could handle?
Tell us what it is. We’ll tell you honestly whether AI is the right tool and what a pilot would involve.