See how the services work together.
Reporting automation, knowledge assistants, and customer workflows combine data engineering, analytics, and AI around a specific problem. These patterns are starting points for discovery, adapted to your systems, people, and controls.
Solution pattern
Observe
Connect the workflow, data source, channel, and trigger so the system sees the right signal.
Reason
Apply business rules, context, and model instructions before any action is taken.
Act
Call the right tool, update the right system, or prepare the next message with traceable output.
Review
Escalate sensitive, costly, or uncertain work to a person before it reaches the customer or ledger.
Improve
Use logs, feedback, and adoption data to tighten the workflow after launch.
From source to outcome
The parts need to work together.
A useful AI workflow depends on accessible data, reliable movement, shared definitions, and a clear point where a person can review an action.
01
Sources
Files, systems, APIs, permissions, and data quality.
02
Pipelines
Movement, transformation, refresh, monitoring, and recovery.
03
Metrics
Agreed definitions and reporting that people can check.
04
AI workflows
Tools, evaluation cases, logs, human review, and escalation.
The exact architecture and controls depend on the systems, access, and success measure agreed in discovery.
Patterns to explore
Automation that fits the work.
Each solution starts with the workflow, data, channel, risk, and adoption pattern before tools are selected.
Reporting Automation
Automate recurring reports, data cleaning, KPI summaries, and management updates across Excel, Power BI, email, and APIs.
Agentic AI Workflows
Build AI workflows that observe, reason, call tools, and hand work back to people at the right point.
Knowledge Assistants
Create internal assistants that answer from company documents, policies, reports, and structured knowledge bases.
Customer & WhatsApp Agents
Meet customers where they already are with support, intake, appointment, and enquiry workflows designed for local channels.
Build + train
Every system leaves capability behind.
Ubuntu does not just install workflows. We train the people who will own, review, improve, and explain them.