Custom Agent Development

Agents developed for your processes and your systems: qualifying leads, preparing quotes, resolving tickets. Built on the platform from Build, governed by the AI Operating Model, at a fixed price per agent.

Two service agents wearing headsets seen from behind at a shared desk with monitors, one with an orange ear pad speaking into his microphone.
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What we look at

From a first use case to an agent in operation.

We start at the process, not the model

Which workflow ties up capacity today, which decisions inside it can an agent make, where does a human have to take over. That produces the first use case, small enough to prove and large enough to be worth it.

Agents work on your systems

They read and write in the CRM, use the connected data and leave logged transactions behind. Not a shadow tool beside the platform, but part of it.

One fixed price per agent: design, build, launch

Every agent comes out of our Agent Factory at a fixed price that covers design, build and launch. What the agent may do alone is set by the guardrails, and responsibility stays with the team.

What you receive

Four outcomes, all measurable.

Productive agents

One agent per use case in operation: qualifying leads, preparing quotes, resolving tickets, measurably.

Fixed price per agent

Design, build and launch at one price, so the business case is settled before the agent is built.

Human-in-the-loop

Defined handovers: where the agent reaches its limit, a person takes over, with context.

Measurable results

Every agent has metrics: completed cases, quality, escalations, visible on the dashboard.

FAQ

Frequently asked questions about Custom Agent Development

What is the difference between an agent and a chatbot?

A chatbot reacts to single inputs based on rules. An agent pursues a goal, makes decisions, uses systems such as your CRM and carries out multi-step tasks independently. In short: the chatbot answers, the agent acts.

Which use cases work first?

Processes with clear rules and high volume: lead qualification, quote preparation, standard service enquiries, data maintenance. The first use case is chosen so it can be proven in weeks, not quarters.

What does an agent cost?

A fixed price per agent that covers design, build and launch. Operation afterwards runs through Managed AI Agents in Operate, so there is no separate Automate retainer. Limited rights, logged actions and approvals for sensitive steps are part of every agent.

What do we need as a precondition?

Dependable data and processes in the system, because an agent is only as good as the platform it works on. If the base is missing, the NATIVE Assessment clarifies what is needed first.

Who monitors the agents in operation?

Managed AI Agents: quality, cost and escalations are measured continuously and the agents improved accordingly. Operation rather than experiment.

Other Automate services

Three more services in Automate

If Automate is not the right starting point for you, explore the other phases of the Agentic Growth Stack as well.

Process Redesign for Agents

The process taken apart before an agent runs it: what falls away, what the agent does and what stays a human decision.

Read more

Industry Agent Library

Proven agents for construction, building materials and mechanical engineering, configured to your systems instead of built from scratch.

Read more

Agent Governance & Oversight

Guardrails for using AI: approvals, logging and traceability, built in from the start.

Read more
first step

The first step towards an agent-native company.

In the NATIVE Assessment we develop a clear target picture and a business case that holds up, in four to eight weeks. Fixed price, no open-ended day rates.

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