You first need to decide which business processes to simplify.
Business process automationBLACKOPS SOFTWARE / AI SYSTEMS & AUTOMATION
AI automation.
Run repetitive tasks through workflows that fit your existing systems.
Discuss your projectWhich kind of automation fits?
Explicit rules can execute a specific workflow.
Process automationOne bounded step requires interpretation of text or documents.
AI automation (this service)UNDERSTAND THE SERVICE
What is AI automation?
AI automation combines defined process steps with AI for tasks that require interpretation, such as classifying an email or extracting information from a document. Rules determine what happens next. BLACKOPS Software designs the complete workflow, including system connections, output checks and a route for cases that need human review.
When it is a good fit
A useful first task is recurring, has recognisable input and a clear desired outcome. For example, categorising incoming requests before assigning them to the right team.
When to take a different approach
If all decisions can be expressed as reliable rules, conventional automation may be more appropriate. AI is also a poor first step if errors cannot be detected or handled safely.
Compare your options
Choose based on the task, the people involved and what you can maintain.
| Approach | Useful when | What to consider |
|---|---|---|
| Rule-based automation | Inputs and decisions follow predictable rules. | Easy to explain, but less suited to interpreting unstructured text. |
| AI in a workflow | A defined step involves interpretation or summarisation. | Requires quality checks and a route for uncertain outputs. |
| AI agent | The next action depends on findings made during the task. | Greater flexibility requires tighter permissions and monitoring. |
What we need to start
- Examples of normal and unusual inputs.
- A clear owner for exceptions and errors.
- Access to the applications that receive input and process results.
How to assess the result
- Measure total handling time, including human review and rework.
- Test missing data, repeated input and connection failures.
- Check that invalid results are stopped before changing another system.
SCOPE & INVESTMENT
What determines the cost?
A useful estimate starts with the scope. We distinguish development work from recurring usage and operating costs. These are the main drivers:
- Number of steps, exceptions and system integrations.
- Volume and size of documents or messages.
- Model usage, hosting, monitoring and ongoing evaluation.
01 / PROBLEM & POSSIBILITIES
Your challenge.
A practical application.
Information is repeatedly extracted from emails and retyped into business software.
Run repetitive tasks through workflows that fit your existing systems. We agree what the solution should do, which information it needs and how the result will be assessed.
THE QUESTION WE ASK FIRST
Which steps are predictable, and where should a person keep deciding?
02 / FROM QUESTION TO SOLUTION
An approach with
clear steps.
You stay informed about decisions, progress and delivery. We adapt the scope to your organisation.
Map processes and goals
Which steps are predictable, and where should a person keep deciding?
Assess value and feasibility
We use representative examples and discuss the results, making assumptions and limitations visible before proceeding.
Build and measure a pilot
We document the agreed outcomes, responsibilities and next steps.
03 / A PRACTICAL FOUNDATION
Designed for your
systems and requirements.
Technology that fits
Your existing process documentation, email, business software and available data sources.
Security and control
We identify the data needed, limit access and arrange human review of sensitive or uncertain results.
A possible application
Information is repeatedly extracted from emails and retyped into business software. The project can start with one focused component. Together we assess whether expanding it makes sense.
Illustrative scenario; not a published client case.04 / WHAT TO EXPECT
Your questions.
Clear answers.
Does an AI workflow need to run independently?
No. AI can prepare information while a person approves it before a record changes or a message is sent. The appropriate level of independence depends on the task and the consequences of errors.
How do you measure time savings?
Establish the current handling time and error rate, then compare the new process including checks, rework and maintenance. A faster model response alone does not demonstrate a better business process.
Can existing systems stay in place?
We first review their available integrations and limitations. A focused connection or workflow may be sufficient without replacing the applications your team already uses.
Where do we start with ai automation?
Which steps are predictable, and where should a person keep deciding? We discuss this together, define the scope and establish what is needed for an informed proposal.
What does the project cost?
The investment depends on scope, existing systems, data quality and required integrations. Your proposal separates the work, assumptions and any recurring usage or operating costs. A useful estimate requires an understanding of your situation.
How long does delivery take?
We agree a schedule once the scope and dependencies are known. System access, team availability and acceptance testing are included in the plan. Where possible, we start with a focused first step.
Can we keep our existing systems?
Your existing process documentation, email, business software and available data sources. We investigate the possibilities and limitations before proposing a technical approach.
What happens after delivery?
You receive a handover explaining the solution and its documentation. Maintenance, support and further development are agreed separately, including responsibilities and how errors will be handled.