You need to resolve a specific decision or a stalled AI initiative.
AI consultingBLACKOPS SOFTWARE / AI SYSTEMS & AUTOMATION
AI strategy.
An AI strategy that starts with your business goals and leads to actionable decisions.
Discuss your projectAdvice, strategy or implementation?
Several initiatives need priorities, ownership and a roadmap.
AI strategy (this service)The process is selected; you want to test and introduce a solution.
AI implementationUNDERSTAND THE SERVICE
What does an AI strategy deliver?
An AI strategy determines which applications your organisation investigates first, who owns them and what evidence is needed before investment. We connect business goals to a limited portfolio of initiatives. Each initiative records the problem, required information, dependencies, a decision point and a stopping criterion. The result is a sequence your team can act on, rather than a presentation of possibilities.
When it is a good fit
Several teams have ideas, but budget, ownership and priorities are unclear. Strategy also helps when pilots stall because nobody owns adoption.
When to take a different approach
If one bounded process has already been chosen and its data and owner are known, a technical discovery or implementation usually produces useful evidence sooner.
Compare your options
Choose based on the task, the people involved and what you can maintain.
| Approach | Useful when | What to consider |
|---|---|---|
| Process discovery | The opportunities are not yet clear. | Maps work and bottlenecks without committing to a build. |
| AI strategy | Several initiatives compete and share dependencies. | Requires decisions from management and process owners. |
| AI implementation | The goal, owner and acceptance criteria are defined. | Builds and tests one application; does not replace portfolio prioritisation. |
What we need to start
- A sponsor who can discuss priorities and budget.
- Process owners with work examples and current costs.
- An overview of data access, existing contracts and maintenance capacity.
How to assess the result
- Every initiative has an owner, problem and testable hypothesis.
- The roadmap identifies dependencies and decision points.
- The first step has acceptance and stopping criteria without invented ROI promises.
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 departments and decision-makers.
- Availability of process and cost information.
- Depth of feasibility research per initiative.
01 / PROBLEM & POSSIBILITIES
Your challenge.
A practical application.
Several AI initiatives are running without a shared direction.
An AI strategy that starts with your business goals and leads to actionable decisions. We agree what the solution should do, which information it needs and how the result will be assessed.
THE QUESTION WE ASK FIRST
Which business goals should AI support, and what budget is appropriate?
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 business goals should AI support, and what budget is appropriate?
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
Several AI initiatives are running without a shared direction. 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.
Is an AI strategy just a list of tools?
No. Tools are evaluated after goals, constraints and responsibilities are clear. A shortlist without an adoption plan does not answer the prioritisation question.
Where do we start with ai strategy?
Which business goals should AI support, and what budget is appropriate? 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.