AI Reporting Portals
Combine dashboards, reporting, and AI-generated insights in one business reporting experience.
AI Software Development
Business Software Enhanced With AI
We builds practical software solutions that combine reporting, analytics, workflows, and AI to help organisations work smarter and make better decisions.
Reporting Portals
Knowledge Systems
Decision Support
Workflow Software
Where AI creates value
AI Works Best Inside Business Processes
Many organisations experiment with AI tools but struggle to create operational value. The strongest results come when AI is embedded inside reporting systems, workflows, and decision-making processes.
Generic AI ToolSeparate from business workflowsLimited access to trusted reporting contextHard to govern consistentlyOutputs depend heavily on user skillOften remains experimental
AI-Enabled Business SoftwareBuilt around specific users and processesConnects to governed data and reportingUses defined permissions and controlsProduces repeatable business outputsDesigned for adoption and support
Solution types
Business software with AI capabilities
Knowledge Assistants
Help users search, interpret, and interact with internal documentation and business knowledge.
Decision Support Applications
Provide context, analysis, recommendations, and business insight for recurring decisions.
Workflow Applications
Assist users with reviews, approvals, investigations, exception handling, and operational tasks.
Analytics Applications
Combine BI, reporting, and AI-driven exploration for teams that need more than dashboards.
Industry-Specific Applications
Design custom software around specific business processes, data, rules, and operating models.
Architecture approach
How We Build AI Software
AI software should sit on top of trusted reporting foundations, not disconnected prompts and ungoverned data access.
Business Systems
BigQuery
dbt Models
Reporting Layer
Application Layer
AI Services
Business Users
Business Systems
Operational systems, files, APIs, and platforms that hold the business activity.
BigQuery
A scalable data foundation for centralising, processing, and serving analytics data.
dbt Models
Governed transformations, tests, documentation, metric definitions, and reporting-ready datasets.
Reporting Layer
Dashboards, semantic models, KPI definitions, and trusted reporting outputs.
Application Layer
Custom screens, workflows, permissions, user journeys, and business software interfaces.
AI Services
AI reasoning, summaries, search, recommendations, and guided analysis using controlled context.
AI design principles
Principles We Follow
Trusted data
Governed definitions and approved business context.
Human control
AI supports judgement. People remain accountable.
Security
Permission-aware access, data visibility, and environment separation.
Explainability
Reasoning, sources, limits, and next checks where needed.
Workflow fit
AI helps users complete real tasks inside the application.
Improvement loop
Usage feedback, prompt tuning, release fixes, and roadmap updates.
FAQ
AI Software Development FAQ
What is AI software?
AI software is business software that uses AI capabilities such as summarisation, search, reasoning, classification, explanation, or recommendations to help users complete real work.
How is this different from a chatbot?
A chatbot is usually one interface pattern. AI-enabled business software includes workflows, reporting, permissions, data integrations, user journeys, and AI features inside a usable application.
Do we need clean data first?
Clean and governed data helps. We assess the data foundation early and may recommend BigQuery, dbt, semantic models, or reporting improvements before advanced AI features.
Can AI integrate with reporting?
Yes. AI can support reporting portals, dashboard summaries, KPI explanations, management commentary, and analytics companion experiences.
Can AI connect to Tableau?
Yes. AI software can sit around Tableau reporting, use governed metrics, explain dashboard movement, and help users understand KPI context.
Can AI connect to Power BI?
Yes. AI software can support Microsoft-aligned reporting environments, semantic models, operational dashboards, and report consumption workflows.
How is security handled?
Security is handled through access control, approved data access, environment design, logging, permission-aware context, and careful limits on what AI can access or generate.
Who owns the solution?
The ownership model depends on the engagement. We can build for your organisation to own, support an internal team, or operate as an ongoing product partner.
What support is available?
Support can include application support, enhancements, prompt optimisation, user adoption, performance reviews, roadmap planning, and release management.