Penta capabilities / AI and automation
AI & Automation
We connect practical AI capabilities to well-defined business processes, with human review, data boundaries and operational reliability in mind.
Discuss this service
The business problem
Give repetitive work a reliable path—with people in control.
Teams spend time finding information, reading documents and moving data between systems.
Who this is for
- Teams repeatedly reading documents or moving data between systems
- Businesses exploring an assistant with clear data permissions and human review
What Penta builds
AI-powered applications, automation workflows, intelligent assistants and process optimisation.
- 01
Intelligent assistants
- 02
Document workflows
- 03
Process automation
- 04
Knowledge retrieval
Where it is useful
- Business knowledge retrieval
- Document classification and extraction
- Internal AI assistants
- Approval-aware workflow automation
Source → reviewed action
Automate the repeatable. Review the consequential.
A workflow should know when to stop, ask for review or use a manual fallback.
- 01
Input
Keep the source attached
- 02
Extraction
Structure what is actually present
- 03
Validation
Expose uncertainty and exceptions
- 04
Human review
Assign an accountable decision
- 05
Action
Carry the evidence forward
Business benefits
- Less repetitive effort
- Faster information access
- Traceable human oversight
What better can look like
- Less repetitive processing
- Faster access to relevant knowledge
- Traceable human oversight
The engineering approach
Start with representative inputs and measurable review criteria.
Choose a bounded workflow, evaluate representative inputs and keep human review at consequential decisions.
Tools chosen around the job.
- LLMs
- RAG
- Workflow engines
- Python
- 01
Opportunity mapping
- 02
Prototype
- 03
Evaluate
- 04
Integrate
- 05
Govern
Typical deliverables
- Workflow prototype
- Evaluation examples
- Integrated automation
- Monitoring and review controls
Architecture & security
- Data access and retention
- Evaluation of incorrect answers
- Fallback paths, cost and human review
Behind the experience
Explore how it works.
Follow a task through its decisions and states. This interactive workspace keeps changes in your browser view.
Open the ai & automation walkthrough
A workflow with judgment built in.
Keep the original source.
No action is taken until the relevant fields and permissions are reviewed.
Interactive workspace · changes stay in this view.
Connected capabilities
The right system
depends on the context.
Before we begin
Questions worth asking.
About ai & automation.
Where does human review fit into an automated workflow?
We identify consequential decisions and uncertain inputs before implementation. The workflow can route those cases to a person, record the decision and provide a safe manual fallback.
Can an AI assistant use private business documents safely?
Access, retention, provider terms and data boundaries must be agreed first. We design retrieval around authorised information and evaluate incorrect answers rather than treating generated output as automatically reliable.