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AI Agent Development & Integration

Give AI a clear role.
And the right boundaries.

Design and develop AI agents for defined business tasks, with approved tools, controlled access, evaluation and human oversight. Connect useful AI to real workflows.

Approved contextAgent reasoningHuman approvalControlled actionILLUSTRATIVE SOLUTION WORKFLOW

THE BUSINESS CONTEXT

Bring the business need
into focus.

An AI agent needs more than a prompt. It needs a well-defined objective, suitable information, permitted actions and a way to handle uncertainty. CREDIUM connects the business case with implementation, including the conventional software around the model.

A defined business task

Focus the solution on a specific workflow and agree how its usefulness will be evaluated.

Connected implementation

Bring the required data, applications and people into the design from the beginning.

Clear operational control

Define permissions, review steps, exceptions and the responsibilities around the solution.

CAPABILITIES

What we can help you do.

Approved contextAgent reasoningHuman approvalControlled actionILLUSTRATIVE SOLUTION WORKFLOW

The illustration shows a possible structure. Each engagement is designed around your requirements.

01

Use-case & agent design

Define the task, available information, expected outputs and actions the agent may take. Decide where a conventional rule or a human decision is more appropriate.

02

Knowledge & tool integration

Connect approved knowledge sources and business systems. Design permissions, retrieval and tool access around the intended users and the data they may see.

03

Review & action controls

Build approval steps for consequential actions, escalation paths for exceptions and records that support investigation. Limit the scope of autonomous behaviour to agreed tasks.

04

Evaluation & operational support

Test representative and difficult cases against acceptance criteria. Plan monitoring, model or prompt changes, integration maintenance and an approach to ongoing review.

FROM REQUIREMENT TO REAL-WORLD USE

A practical example.

An internal service agent can retrieve approved guidance, prepare a ticket summary and suggest a next step. Actions such as changing access can require a separate approval before execution.

Illustrative scenario, not a client case study.

What an engagement can include

01An agent specification and permission model
02A working prototype or production implementation as agreed
03Evaluation results and documented limitations
04Deployment, handover and maintenance arrangements

The final scope, deliverables, responsibilities and service commitments are confirmed in the engagement agreement.

ADVICE. IMPLEMENTATION. SUPPORT.

Choose the support
your business needs.

01

Advise.

Understand the current environment, agree requirements and establish a practical plan.

02

Build.

Develop or configure the agreed solution, test the workflow and prepare the rollout.

03

Support.

Document the work, support adoption and maintain the solution under an agreed scope.

COMMON QUESTIONS

A clearer
starting point.

Are AI agents fully autonomous?

The level of autonomy is scoped to the task. An agent can assist a person, prepare an action for approval or carry out narrowly defined permitted steps.

Can an agent connect to our business systems?

Yes, where the systems expose suitable interfaces and access is authorised. We assess data handling, permissions, failure behaviour and review requirements first.

LET’S CONNECT

Make the next move
with a clearer direction.

Tell us what your business needs to achieve. We will help define the right advice, technology and next step.

Start a conversation