Knowledge assistants
Help users find answers from approved business documents and knowledge sources.
← All capabilities
Applied intelligence
AI-Enabled Solutions
Practical AI features, knowledge assistants, intelligent search, and workflow support built around clear use cases and human oversight.
Strategy-led/Purpose-built/Ready to evolve
Apply AI thoughtfully
A grounded AI interaction.
A clearly scoped AI use case
Human oversight where it matters
A measurable path to improvement
A closer look / Applied intelligence
Useful AI starts with trusted information and clear boundaries.
An AI feature needs more than a model connection. It needs an appropriate use case, approved data sources, permissions, retrieval, evaluation, and a way for people to review important outputs. We design those controls into the product so the experience remains understandable when the answer is uncertain.
Internal knowledge search
Customer support assistance
Document-heavy workflows
AI features inside existing products
The system
A grounded AI interaction.
The model should work with the right context, respect access rules, and make review possible.
A service-specific viewConcept model
User request
Find the approved information relevant to this task.
Context & safeguards
QuestionRetrieveRespondReview
Reviewable response
A useful suggestion, connected to relevant context and ready for a person to verify.
Capabilities
The details that make the whole work.
These capabilities can be combined into one engagement or prioritised in stages, depending on your current product and operating needs.
Intelligent search
Improve discovery across product, support, or internal information with semantic retrieval patterns.
Workflow copilots
Support staff with summaries, drafting, classification, and suggested next steps while keeping people in control.
Document understanding
Extract and organize information from supported business documents for review and downstream workflows.
AI integration & guardrails
Connect model capabilities to existing applications with permission boundaries, validation, and fallbacks.
Evaluation & monitoring
Define test cases and review quality, cost, latency, and failure behavior before wider rollout.
How the work takes shape
AI-Enabled Solutions, delivered with intention.
The sequence below is tailored to this discipline. The exact scope is agreed around your users, systems, and constraints.
Select the use case
Define the user, the task, and what a good result means.
Prepare trusted context
Review source quality, permissions, and retrieval needs.
Build with guardrails
Add validation, safe fallbacks, logging, and human review.
Evaluate in practice
Test quality, latency, cost, and failure behaviour before expansion.
Where it makes sense
A good fit for the right problem.
We start with a specific, measurable problem and determine whether AI is the right tool. Data permissions, source quality, human review, failure handling, and evaluation are planned from the beginning. The goal is useful assistance—not automation for its own sake.
Internal knowledge searchCustomer support assistanceDocument-heavy workflowsAI features inside existing products
Technology areas
Selected for the work.
Technology choices are confirmed during scoping and depend on the product, integrations, team, security needs, and operating requirements.
LLM APIsRetrieval systemsEmbeddingsNode.jsStructured outputsEvaluation workflows
Start a conversation
Let's shape the right solution.
Tell us what you are building, improving, or trying to connect. We can discuss the priorities and a sensible next step.
Explore other capabilities
More ways to move your product forward.