Finding information faster
Connect useful knowledge across documents while respecting access permissions.
SERVICE
Applied AI
Put AI to work on a specific business need. We connect search, document processing and assistants to your data and workflows, with quality checks and human review where they matter.
Explore what we can buildWHEN IT FITS
Start with what needs to change
Reducing repetitive reading
Extract structured information from documents and route uncertain results for review.
Taking a prototype into production
Evaluate quality, cost and failure cases before connecting AI to live workflows.
SOLUTION SCOPE
What we can build together
Choose the capabilities your project needs. We agree the priorities and boundaries before development.
AI assistants
Help users complete defined tasks with context from your product and knowledge sources.
Document processing
Prepare and process documents so useful information can be retrieved and checked.
Intelligent search & retrieval
Retrieve relevant passages with source references and appropriate access boundaries.
Structured data extraction
Convert selected document fields into validated records for your existing systems.
Human-reviewed automation
Keep approval points for actions that need judgement or have business consequences.
Evaluation & safeguards
Test representative examples, failure behaviour and ongoing changes in output quality.
A SOLUTION IN CONTEXT
Help support teams find the right answer
Support staff often search several documents to answer a question about a product or return policy. An AI assistant can find relevant passages in approved sources and draft a response with references, ready for the staff member to check and send.
Ask about the request
Use the customer’s question and relevant context
Find & draft
Retrieve policy details and draft an answer linked to the source
Review & respond
Staff verify the answer and handle cases needing judgement
Business value: Reduce repetitive searching while keeping staff in control of the response sent to customers.
DELIVERY & QUALITY
Clear deliverables, practical checks
The exact deliverables and acceptance criteria are agreed for your project. These are the foundations we plan around.
What you receive
Integrated AI workflow
Source code, model connections and the agreed product integration.
Evaluation set & findings
Representative examples, acceptance criteria and known limitations.
Operational controls
Configuration, review points and guidance for tracking quality and usage.
How we check it
Evidence before rollout
Compare outputs against agreed examples, including incomplete and misleading inputs.
Data & permissions
Review what reaches the model, who can retrieve it and where human approval is needed.
Cost & response time
Measure usage and latency alongside quality when choosing a practical approach.
TECHNOLOGY & INTEGRATION
Built around your ecosystem
These are examples, not a fixed technology list. We choose the approach around your existing systems, operating needs and team.
A FEW MORE DETAILS
Before we get started
Do we need to train a custom model?
Not necessarily. We first assess whether existing models with retrieval or workflow integration meet the need. Custom training is considered only when the use case and available data justify it.
How is our business data handled?
We agree the permitted data sources, model provider or hosting approach, access rules and retention requirements before implementation. These decisions depend on your policies and the chosen services.
What happens when AI gives an incorrect answer?
We design for that possibility with evaluation examples, visible limitations, source references where applicable and human approval for consequential actions. AI output is not treated as automatically authoritative.
READY TO BUILD?
Let’s talk about your Applied AI project
Share a workflow, the data available and what a useful result would look like for your team.
Start a Project