AI & automation

Intelligence should improve the work.

Trig8 approaches AI and automation as practical engineering tools—not as an identity or a substitute for understanding the real organisational problem.

Human directionPurpose & context
Assisted workflowProcess
Human reviewDecision & action

Practical by design

Technology chosen for the task.

The useful question is not whether AI can be added. It is whether a tool can make a specific part of the work clearer, faster or more reliable without introducing unacceptable risk.

01

Start with the workflow

Understand the work, decisions, inputs and constraints before selecting a technical approach.

02

Use the lightest useful tool

Not every process requires AI. Rules, integrations or conventional software may be the better answer.

03

Keep people in control

Important outputs should remain reviewable, understandable and subject to appropriate human judgement.

Potential application areas

Where assistance and automation may help

These are potential areas for assessment, not claims that every organisation needs or should adopt each capability.

01

Document Assistance

Support for organising, summarising or drafting from approved information sources.

02

Workflow Automation

Reduce repetitive steps across structured operational processes.

03

Information Retrieval

Help authorised users locate relevant organisational information more efficiently.

04

Reporting Support

Assist with preparing structured summaries from available operational data.

05

Communication Assistance

Support drafting and routing routine communications with appropriate review.

06

System Integration

Connect suitable tools and data flows to reduce avoidable manual transfer.

Human control principle

Automation should support responsibility—not remove it.

The level of review, access control and fallback required depends on the information involved and the consequences of the output.

Discuss a Responsible Approach
  1. 01Defined purpose and approved information sources
  2. 02Human review for consequential outputs
  3. 03Appropriate access and permission boundaries
  4. 04Testing against the intended operational context
  5. 05Fallback paths when automation is uncertain

Assessment before implementation

Start with one useful workflow.

We can begin by examining the current process, the information available, the people responsible and the outcome that needs to improve.

Product-specific AI functionality and public implementation examples will only be described when their details are verified and approved.

Tell Us About the Workflow