Knowledge assistants
Help people find answers in your documents and business information, with source references and access appropriate to the user.
AI SYSTEMS / KNOWLEDGE / AUTOMATION
Intelligence.
With a purpose.
AI is useful when it solves something real. We help you identify the right opportunity, test a focused solution and connect it to the way your business works.
Discuss your projectSAND-HUT / EXPERTISE
Make room for better work.
Connect your knowledgeSupport your decisionsSimplify the repetitive
BUILT AROUND YOUR BUSINESS
The right capabilities.
For the problem at hand.
Start with a focused engagement.
Build on what you learn.
Workflow automation
Reduce repetitive handoffs by connecting tools, processing documents and routing tasks, with human review where decisions need it.
AI product features
Add language, search and generation to a customer experience. Design useful interactions alongside clear limitations and fallbacks.
Evaluation & integration
Test outputs against representative examples, examine errors, and plan cost, latency and monitoring before expanding the use case.
CLARITY, BUILT IN.
Know what
you’re working towards.
Every engagement starts with an agreed scope. These are the deliverables we can shape around your priorities.
- A focused use case and success criteria
- A prototype evaluated on relevant examples
- Data access and privacy considerations
- An integrated user experience
- Human review and fallback paths
- Documentation and an iteration plan
A GOOD PLACE TO START
Your questions.
Considered answers.
Do we need to train our own model?+
Often, an existing model combined with the right data access and workflow is enough. We assess that first. Custom training is a separate decision based on evidence and requirements.
Can AI use our private business information?+
We review the information, access controls and provider requirements with you before implementation. Data handling and approved services form part of the project scope.
How do you avoid an impressive demo that fails in practice?+
We define representative tasks and quality criteria early. Testing on real use cases, reviewing failure modes and building appropriate fallbacks are part of the work.