When it is a good fit
An agent may help when a task involves multiple information sources and the next step varies according to what it finds. One example is collecting information, spotting gaps and preparing an action for a colleague to review.
BLACKOPS SOFTWARE / AGENTS & INTELLIGENT INTERFACES
AI agent development.
Build an AI agent that performs defined tasks using your data and systems.
Discuss your projectUNDERSTAND THE SERVICE
What does a business AI agent include?
An AI agent uses information to choose next steps and call approved tools. A business implementation therefore requires more than a prompt: permissions, integrations, tests, logs and human approval are part of the solution. BLACKOPS Software starts with a defined task and checks whether an agent offers a practical advantage over a simpler workflow.
When to take a different approach
For a fixed sequence, a conventional workflow is often easier to test and maintain. A first agent should not receive unrestricted authority to spend money, send customer messages or change critical records.
Compare your options
Choose based on the task, the people involved and what you can maintain.
| Approach | Useful when | What to consider |
|---|---|---|
| Chatbot | The main task is answering questions in a conversation. | Producing an answer differs from carrying out a business action. |
| Workflow | The sequence of operations is largely known in advance. | Less flexible, but usually easier to inspect and test. |
| AI agent | Actions depend on intermediate findings. | Requires bounded permissions and tests for unexpected task paths. |
What we need to start
- A task description and an explicit list of prohibited actions.
- API access with the minimum permissions required.
- Examples of successful work, uncertainty and unwanted outcomes.
How to assess the result
- The agent requests approval where it is required.
- System actions can be traced to the task and relevant inputs.
- The agent stops or escalates when information is missing or a limit is reached.
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:
- Task complexity and the number of available tools.
- Variation in scenarios and the depth of evaluation.
- Model steps per task, usage volume and operational support.
01 / PROBLEM & POSSIBILITIES
Your challenge.
A practical application.
An employee gathers information from several systems for the same task every day.
Build an AI agent that performs defined tasks using your data and 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 actions may the agent perform independently, and which need approval?
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.
Define tasks and sources
Which actions may the agent perform independently, and which need approval?
Test with realistic scenarios
We use representative examples and discuss the results, making assumptions and limitations visible before proceeding.
Introduce gradually and evaluate
We document the agreed outcomes, responsibilities and next steps.
03 / A PRACTICAL FOUNDATION
Designed for your
systems and requirements.
Technology that fits
Your knowledge base, website, CRM, document environment and existing support channels, subject to available access.
Security and control
We limit permissions and actions, test for unwanted instructions and include handover to an employee in the design.
A possible application
An employee gathers information from several systems for the same task every day. 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.
How is an agent different from a chatbot?
A chatbot focuses on a conversation. An agent can also select next steps and use tools to carry out a task. The functions can overlap; the actions and permissions determine the controls needed.
Can the agent update our CRM?
Only when the integration and permissions allow it. Changes can first be presented as suggestions. Independent updates also require validation, traceability and an agreed recovery approach.
Can AI agents be completely reliable?
Absolute reliability is not a responsible promise. The task must be bounded, evaluated with representative cases and monitored. Human review and clear stopping conditions are important for consequential actions.
Where do we start with ai agent development?
Which actions may the agent perform independently, and which need approval? 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 knowledge base, website, CRM, document environment and existing support channels, subject to available access. 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.