Document processing
Extract proposed fields from documents, validate required information, and send uncertain results for review before they enter your records.
AI Services
AI Integration
Give your existing application a useful new capability. We connect AI with your product, approved data, and business systems, from a focused prototype through integration and support.
Scope & Deliverables
What we can build with you
Choose the capabilities your project needs. We agree the deliverables and how they will be evaluated before implementation.
Knowledge search
Help people find answers in approved documents, with source references and access controls that follow the underlying information.
Assistants inside your application
Add contextual help, summarization, or draft generation within the screens where your customers and team already work.
Model and API integration
Connect an appropriate model provider to your backend, with server-side credentials, usage limits, and defined handling for unavailable services.
Evaluation and review
Build a representative set of example tasks, agree what a useful answer looks like, and test missing information, incorrect answers, and edge cases.
Deployment and maintenance
Release the feature gradually, monitor its quality and running costs, and review changes when your data, application, or model provider changes.
Illustrative Walkthrough
A support assistant inside an existing customer portal
A customer asks whether they can change a delivery address. The assistant uses a sample delivery guide to prepare an answer for review.
Illustrative scenario using sample data and prewritten outputs.
Question and source
Question: “Can I change my delivery address?” Sample guide: address changes are allowed before dispatch; dispatched orders need a support review.
Proposed response
“If your order has not been dispatched, you can request an address change. If it has, contact support.” Source: sample delivery guide. The assistant asks for order status if it is unavailable.
Controlled next step
The portal can offer a support request using its existing permissions. An address change requires the application's normal checks and the customer's confirmation.
The deliverable is an integrated feature: a source-backed response, a clear way to handle missing information, and a next step within the existing product.
Technology & Connections
Designed around your systems
We build integration services with Node.js or Python/FastAPI and connect them to React, Next.js, or existing application interfaces. Model selection follows an evaluation of your task, data requirements, quality, latency, and budget.
Connections we can assess
- Existing application APIs
- Approved document stores
- Customer and support systems
- Hosted model APIs or suitable self-hosted models
Specific integrations depend on available APIs, permissions, platform plans, and agreed data handling.
How We Work
A focused path from idea to operation
Define one useful feature
Map the user task, data access, current application, and acceptance criteria.
Prototype and evaluate
Use representative sample data to compare results and identify failure cases.
Integrate and release
Connect the feature to your interface and backend, with review paths and usage limits.
Monitor and improve
Track quality, latency, and cost; review feedback and maintain the integration.
Questions before you start
Can you add AI to our existing application?
We start by reviewing the application's architecture, available APIs, authentication, and data access. That determines whether the feature can be added directly, through an integration service, or after a small amount of supporting work.
Will our private data be sent to an AI provider?
That depends on the agreed design. We identify which fields the feature needs, what may leave your environment, and the provider's current retention and processing terms. A self-hosted option can be evaluated when your requirements call for it.
Can an assistant use our own documents?
Yes, where those documents can be accessed and processed appropriately. The design should preserve permissions, handle updates, cite supporting sources, and state when the available material does not answer the question.
How do you handle incorrect AI answers?
We test the feature against agreed examples, validate structured outputs, show sources where appropriate, and provide a human review or fallback path. The level of automation depends on the consequences of an incorrect result.
What determines the price and ongoing cost?
Scope depends on the feature, data preparation, integration complexity, and evaluation work. Ongoing costs can include model usage, document processing, storage, hosting, monitoring, and maintenance. We estimate these for an agreed usage scenario before implementation.
What happens after launch?
The handover can include documentation, an evaluation set, operational checks, and a support plan. Ongoing maintenance can cover provider changes, new documents, application updates, and quality reviews.
AI Services
Explore related AI services
Find the starting point that matches your existing software, process, or product idea.
AI Workflow Automation
Connect your business systems and move routine work forward with clear review and approval steps.
- Enquiry handling and CRM updates
- Document review and routing
- Approvals, follow-ups, and system sync
Custom AI Application Development
Build an AI application around a specific customer need or internal business process.
- AI product prototypes and MVPs
- Custom interfaces and backend services
- Evaluation, deployment, and support
Start with a useful conversation.
Tell us about your existing software and the feature you want to add.