Practical, human-controlled automation · Melbourne & Australia

Secure AI & Business Workflow Automation

Spend less time chasing enquiries, transferring information and updating registers, while keeping important decisions under human oversight.

The problem we solve

Choose one repetitive task worth fixing.

Most small businesses do not need an autonomous AI workforce. They need one repetitive process to stop consuming staff time: sorting enquiries, following up outstanding documents, checking a quote status or preparing a weekly report.

We start with one process, map what really happens and automate only the steps that have clear inputs, rules and owners. AI is introduced where ordinary workflow rules are not enough.

The result you are buying

See whether one controlled automation will save time

Whether a carefully controlled workflow can remove a repetitive task without sending unchecked messages or exposing sensitive data.

Your takeaway: A working, documented pilot with acceptance tests, access-control review, approval steps and a clear handover. Production use requires separate approval.

See our sample reporting style ↗
Inside the engagement

What we design, build and test

The checks below are representative. We agree the actual systems, evidence and testing methods before work begins.

Find the right workflow

  • Observe the current steps and note where information arrives, waits or gets re-entered
  • Measure current handling time, volume, exceptions and what “successful” means
  • Decide whether straightforward automation is sufficient before proposing AI

Design access and control

  • Map every data field and system involved; identify personal or confidential information
  • Define least-privilege service accounts, retention limits, approvals and audit events
  • Agree which outcomes must be reviewed by a person before emailing customers, changing records or making commitments

Build a small working solution

  • Implement one pilot, such as enquiry classification and draft replies, customer onboarding checklists or evidence-chasing reminders
  • Connect only authorised systems using their supported interfaces or APIs
  • Add validation, deduplication, retry handling, exception queues and a manual override

Test, measure and hand over

  • Run scenarios with normal records, missing data, duplicates and deliberately ambiguous inputs
  • Validate output quality and ensure an unapproved message cannot be sent
  • Measure time saved, document the costs and train the person who will operate the workflow
A workflow example, not a customer case study

An example of a useful approval-based workflow

This is a fictional example to show how we explain a finding. It is not a claim about any customer.

The current manual task

A team retypes the same enquiry into several registers and manually chases approval before sending a reply.

Why it causes delays

Time is lost, enquiries are overlooked and the wrong information can be shared when steps are informal.

How the pilot could work

Map the process, automate the routing and draft, retain a human approval gate and test exception handling.

Information we ask for

Inputs, permissions and process details

We collect only what is required for the agreed review. Read-only access, supervised walkthroughs and redacted exports are preferred where practical.

  • Current workflow steps, sample templates and normal transaction volumes
  • List of software systems, API/connectivity constraints and subscription licences
  • Approved, anonymised or synthetic test data where practical
  • Written decisions on owners, approval gates, incident response and data retention
What you take away

A working pilot and an operational handover

Your report will connect observations to evidence and recommend practical actions, with assumptions and limits clearly stated.

  • Documented before-and-after process map and roles/responsibilities
  • Working pilot for the specifically agreed use case
  • Test cases, results and agreed acceptance criteria
  • Admin runbook: monitoring, access, failure recovery, rollback and support contacts
  • Handover session, running cost summary and suggested improvement backlog
The way we work

From messy process to tested workflow

Keeping the scope clear

What is outside the automation pilot

  • Unsupervised financial, legal, personnel or other consequential decisions
  • Unlimited workflow development, ongoing maintenance or usage costs
  • Training models on confidential customer records without explicit agreement
  • Guarantees about LLM correctness, integration uptime or time savings
  • Access to all mailboxes and documents when a narrower permission set is sufficient

Assessment conclusions are limited to the agreed systems, timing and evidence made available. They do not guarantee the absence of cyber risk or certify compliance.

Common questions

Before you enquire

Do we have to use AI?

No. If the problem can be solved reliably with ordinary rules or a native Microsoft 365 or CRM feature, that is usually the better starting point.

Will the system send messages without review?

Not by default for initial customer-facing pilots. Approval is a design requirement, and a separate change would be needed to expand autonomy.

Who owns the automation after delivery?

The handover identifies the accounts, code or configuration, logs, usage costs and operational owner according to the agreed contract.

Next step

Start with the task your team repeats every week.

To help us scope this properly, tell us: The manual task, systems involved, rough weekly volume, and any approval or data restrictions. Do not send real customer records yet. Please keep passwords, sensitive records and configuration exports out of the initial enquiry.

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Relevant guidance

These references explain the frameworks. Cyber Evident is not affiliated with or endorsed by the publishers.