Services / AI agent development and implementation
AI agents that work within your business rules
Give your team AI assistance connected to the information and actions a task actually requires. Automate Axis designs and implements business AI agents with a defined purpose, approved tools and clear operating boundaries. We establish how outputs are checked, when a person must decide and how the system behaves when information is incomplete or a dependency fails.
A /
Intelligence with clear boundaries
Example
DEFINED AUTHORITY
R
Approved knowledge
Read permitted sources
T
Allowed tools
Only agreed actions
Access inherited
Unclear context → pause and route to a person
Illustrative workflow · configured around your systems and agreed scope
Illustrative workflow · configured around your systems and agreed scope
Representative photography · people reviewing software-supported work.
01
Put AI to work on a specific operating task
An AI agent uses a model to interpret information and select from permitted actions toward a goal. It needs more than a prompt: the surrounding system must manage access, business state, validation, approvals and exceptions.
Useful starting applications can include:
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Classifying incoming requests and proposing the appropriate handoff.
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Extracting required information from approved documents or messages.
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Preparing internal summaries linked to their source records.
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Answering questions from an authorised knowledge base.
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Drafting responses for an accountable person to review.
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Coordinating a bounded sequence across approved business tools.
We begin with the task and its consequences, then determine whether an agent, a fixed workflow or a simpler native capability is the appropriate solution.
02
Define the authority before connecting the tools
The scope identifies which records the agent can access, which actions it can propose or execute, and which decisions require approval. Sensitive commitments, unusual requests and conflicting information need a deliberate escalation route.
Permissions and policy checks are enforced in the application or workflow wherever possible. Instructions found inside an email, attachment or retrieved document do not grant additional authority.
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A complete business workflow
Example
01
Incoming event
Agreement signed
02
Validate record
Required fields checked
03
Complete action
Create approved project
IF
Details missing
Prepare a request to the owner
Human review
✓
Confirm the project exists. Record the handoff.
Illustrative workflow · configured around your systems and agreed scope
Illustrative workflow · configured around your systems and agreed scope
03
What your implementation can include
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A defined use case, business owner and acceptance criteria.
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An approved model and deployment route selected for the task.
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Permission-aware access to the agreed information sources.
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Structured outputs, business validation and controlled tool execution.
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Review queues, usage limits, logging and failure handling.
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Evaluation results, operating guidance, training and release controls.
Data handling, retention, processing locations and third-party terms are reviewed for the actual provider, model and features proposed. A general platform label does not settle those requirements.
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Evaluate the task before expanding autonomy
We test representative cases against agreed scoring criteria and a suitable baseline. Evaluation can measure output correctness, appropriate abstention, completed tasks, review effort, cost and latency. Missing information, hostile instructions and integration failures belong in the test set alongside ordinary requests.
A limited release helps establish how the agent performs in use. Changes to prompts, models, tools and permissions require appropriate regression testing. More autonomous operation is considered only where the evidence and consequences support it.
Read AI agents versus workflow automation to understand the architectural choice.
05
A commercial scope built around the workload
Projects are scoped after review. Where key assumptions need testing, we define a bounded pilot with a clear decision at its end. The proposal identifies implementation charges, model and platform usage, review responsibilities and ongoing support. Software and usage costs are separate unless expressly included.
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Questions before you begin
How is an AI agent different from a workflow?
A fixed workflow follows an established sequence. An agent can interpret context and choose among allowed next steps. Many business processes benefit from a fixed workflow containing a small, bounded AI task.
Do you need to train a model on our data?
Not necessarily. Approved information can be supplied through retrieval or structured context. Any training or fine-tuning requirement is assessed separately, together with data rights and provider terms.
What happens if the agent gives a wrong answer?
The design uses task-appropriate validation, review and escalation. We measure errors and correction effort during evaluation and monitor agreed operating indicators after release. No model is treated as infallible.
Can an agent take action without human approval?
Only within the authority agreed for the specific task. The proposal distinguishes permitted automatic actions from those requiring a named approver.
Which AI model will you use?
We compare approved candidates against the workload, quality requirements, data arrangements and total cost. Selection is task-specific and may change as requirements or available options evolve.
What determines the ongoing cost?
Workload volume, model usage, tool calls, orchestration, storage, human review and support all contribute. We estimate the complete operating cost rather than presenting the model bill alone.
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Explore this service in your industry
See practical operating examples for professional services, IT services and managed service providers, retail and e-commerce. Each industry guide explains relevant use cases, information requirements and decision boundaries.
The next step
Start with a task worth completing well
Bring us a recurring task and the decisions involved. We will help define where AI can assist and what dependable operation requires.
Discuss your workflow