AI challenge

Have an AI agent built

An agent that only gives clever answers won't do much for you. It becomes useful when it can retrieve information, make choices and safely take actions in your existing systems. We build that whole technical setup.

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Does this sound familiar?

The use case is often already clear. The technical challenge is running the complete workflow reliably.

The agent has to do more than answer
It has to retrieve data, call systems or actually change something.
Several tools or systems are involved
The workflow runs across APIs, databases or existing business software.
Not every action may run automatically
For critical steps a user must be able to check or approve.
A simple prompt is not enough
State, context, error handling and tool use become part of the technical design.

Where do you want to be?

You don't want a standalone AI demo, but an agent that performs a clear task and fits the software and processes that already exist.

A working end-to-end flow

The agent can retrieve the relevant information, make decisions and take the right actions.

Control over what it may do

Permissions, validation and human oversight limit its autonomy where needed.

Manageable in production

Errors, model behaviour, costs and tool calls are visible enough to use the agent responsibly.

Why does this happen?

An AI agent is more than a prompt with a few functions. It is a software system in which unpredictable models are allowed to take real actions.

See how we approach this

Autonomy introduces risk

A wrong model decision can have consequences outside the chat interface.

Integrations determine the real value

Without good access to existing data and systems, the agent remains mostly a demonstration.

Reliability is built around the model

Validation, retries, state, logging and human-in-the-loop are often just as important as the choice of model.

Matching offer

Build & Integrate

With Build & Integrate we design and build the complete agent flow: architecture, tools, integrations, permissions, guardrails and production behaviour. When a new or uncertain agent concept first needs to be proven technically, an AI Prototype Sprint can be a more logical first step.

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Fixed price after scoping

Fixed price after joint scoping

Result: Working, integrated software your team can take over
Duration: Set in the scope
Next step: Handover to your team, or further development together

Why 9to5 for this?

9to5 software combines AI engineering with senior software engineering. So next to the smart part, we also build the technical environment you need to use an agent seriously.

View cases

Agents and regular software

Tooling, APIs, data, auth and error handling belong to the same solution.

Human-in-the-loop where needed

Not every process gets better with maximum autonomy.

No black box left behind

We document the important choices so the system stays transferable.

Have an AI agent built

Does this sound familiar?

The agent has to do more than answer

Several tools or systems are involved

Not every action may run automatically

A simple prompt is not enough