You need to resolve a specific decision or a stalled AI initiative.
AI consulting (this service)AI consulting.
Turn separate AI ideas into an informed decision for your business.
Discuss your projectAdvice, strategy or implementation?
Several initiatives need priorities, ownership and a roadmap.
AI strategyThe process is selected; you want to test and introduce a solution.
AI implementationWhat does an AI consultant do?
An AI consultant identifies where AI could support your business and examines what an implementation would require from your data, systems and team. At BLACKOPS Software, the outcome may be a recommendation to improve existing software, run a focused pilot or build a custom solution. The starting point is a business problem, rather than a preferred tool.
When it is a good fit
Consulting is useful when several AI ideas compete for attention, a pilot has stalled, or your team needs help choosing an approach. We start with examples of the actual work and the decisions you need to make.
When to take a different approach
If the process is unclear or source information is unreliable, process or data improvements may need to come first. Adding AI does not resolve those foundations on its own.
Compare your options
Choose based on the task, the people involved and what you can maintain.
| Approach | Useful when | What to consider |
|---|---|---|
| Opportunity assessment | Understand which tasks could be suitable and what they would require. | Provides direction rather than a finished implementation. |
| Focused consulting | Resolve a specific strategy, architecture or feasibility question. | Success should be judged by the decision and its evidence. |
| Implementation | Build once the task and acceptance criteria are sufficiently clear. | Requires access to systems and involvement from the people using the solution. |
What we need to start
- A process owner who can explain how the work happens today.
- Representative examples, including exceptions.
- An overview of existing systems, access rights and costs.
How to assess the result
- Each opportunity addresses a defined problem for specific users.
- The main assumptions, dependencies and limitations are documented.
- The recommendation includes an actionable next step and a reason to stop if evidence is weak.
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:
- The number of processes and teams involved.
- The depth of technical investigation and practical testing.
- Whether the engagement includes implementation or ongoing support.
Your challenge.
A practical application.
Your team sees opportunities for AI but needs someone to connect business, data and technology.
Turn separate AI ideas into an informed decision for your business. We agree what the solution should do, which information it needs and how the result will be assessed.
Which processes take the most time, and what data is available?
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 processes take the most time, and what data is available?
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.
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.
Your team sees opportunities for AI but needs someone to connect business, data and technology. The project can start with one focused component. Together we assess whether expanding it makes sense.
Illustrative scenario; not a published client case.Your questions.
Clear answers.
Do we need technical knowledge before starting?
No. A description of the work, examples and the desired outcome are a useful start. We identify the technical information and access needed as the scope becomes clearer.
How is consulting different from AI development?
Consulting helps establish what should be built and why. Development implements the chosen solution. BLACKOPS Software can connect both stages, with responsibilities and scope agreed in advance.
Do you work with international teams?
BLACKOPS Software works with ambitious teams across locations. You can use these English service pages to explore the approach and prepare your requirements. The working language, stakeholders and scope are agreed at the start of an engagement.
Where do we start with ai consulting?
Which processes take the most time, and what data is available? 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.