01
AI assistants
Task-focused assistants that help users find information and navigate defined business workflows.
- Defined tasks and user journeys
- Clear response boundaries
- Review and escalation paths
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04 / AI DEVELOPMENTLess busywork.
Less busywork.
More possibility.
AI is most useful when it solves something specific. We help turn a real business problem into a focused, connected experience with clear boundaries and thoughtful evaluation.
Intelligence with intention.
Intelligence with intention.THE BIZZNOVATIVE APPROACH
AI developmentKNOWLEDGE ASSISTANTSWORKFLOW AUTOMATIONPRACTICAL AI
THE RIGHT TOOLS FOR YOUR NEXT CHAPTERWhat can we
What can we
create together?
Start with the work people do. Add intelligence where it can make that work easier.
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Knowledge & document tools
Search and question-answering experiences grounded in approved content and clear source references.
- Search over approved content
- Grounded answers with references
- Document processing workflows
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Workflow automation
AI-supported steps for classifying, summarizing, and drafting, with review where it matters.
- Classification and summaries
- Drafting with human review
- Connections to business systems
04
Prototypes & evaluation
Test feasibility, define quality criteria, and evaluate cost and behavior before a wider rollout.
- Feasibility and data review
- Quality and cost evaluation
- A controlled rollout plan
LESS SEARCHING. MORE CLARITY.
CONNECTED KNOWLEDGE / ASSISTANT CONCEPT✳ Your knowledge, connected.
What should I know before kickoff?
✳
A clearer starting point.
Here’s a summary of your project notes, organized into next steps.
↗ Project brief · Source reference
Ask a follow-up… ↑
POSSIBILITIES, MADE VISIBLEYour knowledge.
Your knowledge.
A clearer way to use it.
Imagine an assistant that helps people navigate approved project material, summarizes what matters, and points back to the source instead of leaving them to search through scattered documents.
- Approved information as the starting point
- Source references that help users check an answer
- Human review for decisions that need judgment
Illustrative design concept. Not a client case study.
START WITH WHAT MATTERS TO YOUDifferent starting points.
Different starting points.
Real possibilities.
A project begins with the change you want to make. These are a few places to start.
Find answers in your documents.
Help teams navigate policies, project notes, or knowledge libraries with a defined content boundary.
Discuss this directionSimplify repetitive information work.
Explore support for sorting requests, extracting key details, and drafting routine responses.
Discuss this directionAdd a useful feature to your product.
Prototype an assistant or intelligent workflow in the context of an existing user journey.
Discuss this directionA CLEAR HANDOVERMore than a finished project.
More than a finished project.
A foundation to build on.
Your scope defines the exact deliverables. Here is what a typical project can include.
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Defined use case, data boundary, and success criteria
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A scoped prototype or integrated AI feature
03
Evaluation notes covering agreed quality and cost criteria
04
Rollout guidance, handover, and review requirements
A COLLABORATIVE WAY FORWARD
Thoughtful at every step.
Clear decisions, regular review points, and a shared sense of where the project is going.
Choose a useful problem.
Review the workflow, information sources, permissions, and the result you need.
Test the possibility.
Build a focused prototype and check feasibility before broadening the scope.
Connect and evaluate.
Integrate with the agreed systems and evaluate behavior against practical criteria.
Roll out thoughtfully.
Define review points, monitoring needs, and what to do when the system is uncertain.
A FEW THINGS TO KNOW
Before we begin.
Clear expectations make for better projects.
Do we need to train our own model?
Often a focused solution can use an existing model with suitable integrations and approved information sources. The approach depends on your use case, data, constraints, and quality requirements.
How do you address inaccurate answers?
Grounding, source references, evaluation, and clear fallback behavior can help manage the risk. AI output still requires appropriate review, especially where mistakes have meaningful consequences.
What happens to our business data?
Data handling, access boundaries, and model provider choices should be agreed before implementation. The solution can be scoped around approved content and the permissions required for the workflow.
How are running costs considered?
Usage volume, model choice, document processing, and infrastructure affect recurring costs. Prototyping and evaluation can help estimate those costs before a broader rollout.
LET’S CREATE WHAT COMES NEXTFind a useful place
Start a conversation Find a useful place
for intelligence.
Start with one workflow or one question. We’ll help explore what an AI solution could do.