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AvadLabs
03 · Build · Agent Build

An agent in production, with control over every action.

We design, integrate and deliver an agent for one of your processes, ready for audit.

Duration
6 to 10 weeks
Model
Fixed scope
Investment
Quoted within 48 h
The problem

Taking an agent from demo to production requires what the demo hides: integration with real systems, exception handling, explicit permissions, human approval where it matters and a record of everything. Agent Build delivers the full package, not just the model.

Who it is for

  • Companies with a chosen process, or one validated in a Discovery Sprint
  • Operations that depend on ERP, CRM, email, WhatsApp or internal systems
  • Teams that must demonstrate control for audit and compliance

Who it is not for

  • Throwaway prototypes or proofs of concept with no path to production
  • Projects without a process owner on the client side
Deliverables

What you get

  1. 01

    Integrated agent

    Connected to the systems in scope, with error and exception handling.

  2. 02

    Versioned permission policy

    What the agent may read, write and execute, reviewed with you.

  3. 03

    Human approval flow

    High-value, irreversible or externally visible actions wait for a person.

  4. 04

    Evaluation suite

    Real cases that measure quality, safety and regressions on every change.

  5. 05

    Audit trail

    A searchable record of what the agent saw, decided and did.

  6. 06

    Documentation and training

    Operations manual, incident procedure and team training.

How it works

6 to 10 weeks, start to finish

  1. Weeks 1–2

    Detailed design

    Permissions, approval points, acceptance criteria and evaluation cases.

  2. Weeks 3–6

    Build

    Weekly cycles with a demo for the process owner.

  3. Weeks 7–8

    Evaluation and security

    Evaluation suite passed and security review before go-live.

  4. Weeks 9–10

    Assisted go-live

    Gradual launch with monitoring and adjustments.

Investment quoted within 48 hours of the initial conversation.

Frequently asked questions

Which AI model do you use?

Whatever fits the case: commercial models such as Claude, GPT or Gemini, or open models hosted where your data policy requires. The architecture is not locked to one vendor.

Who owns the code?

Ownership and licensing terms are defined in the contract before the project starts.

What happens after launch?

Your team can run the agent with the manual and training we deliver, or you can hire AgentOps Managed.

Shall we talk about Agent Build?

In 30 minutes we understand your case and tell you whether this is the right place to start.

We reply within one business day.