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Fixed-scope offer

Your team's first AI agent, in production and measured

Pick a process that eats hours of your team’s time today and have an AI agent working on it, with real users and metrics agreed up front. In about 6 to 8 weeks, from discovery to the decision to scale.

Duration
About 6 to 8 weeks
Format
Fixed scope, 4 phases
Price
Fixed, agreed after discovery
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Who it is for

  • A repetitive, rule-based process eats hours every week: checks, reports, follow-ups, requests.
  • You have tried ChatGPT or Copilot and want an agent connected to your company systems, following your rules.
  • You need a first measured case, with security and human oversight, before investing in more agents.

What you get

  • A process and rules document for the agent, written with your team
  • A working agent, connected to your systems and respecting each user’s permissions
  • An audit log of every check, alert and action: what, when, with which data and who approved it
  • A dashboard or report of the agreed metrics, measured from the first week of the pilot
  • An EU AI Act risk classification note for the agent
  • An operations runbook: monitoring, rule tuning and what to do when something fails
  • A go/no-go recommendation: scale, widen autonomy, adjust or stop

How it works: 4 phases in about 6 to 8 weeks

  1. 01 · Weeks 1–2

    Discovery

    We choose the process, write the rules with your team, confirm the data sources and access, and fix the success metrics and the agent’s level of autonomy.

  2. 02 · Weeks 2–4

    Build

    We connect the agent to your systems (Microsoft 365, Google Workspace, ERP, CRM or APIs) and pick the model per task: OpenAI, Claude, Gemini or open-source. “Draft for approval” mode is switched on.

  3. 03 · Weeks 4–7

    Pilot

    A group of real users works with the agent day to day. We review the agreed metrics every week and refine the rules based on what users approve, edit or reject.

  4. 04 · Week 8

    Handover

    Security, permissions, audit logging, monitoring and training. We close with the decision: scale to more users, widen autonomy or move on to the next agent.

Typical agents to start with

What we need from you

  • A process owner, available to write the rules with us and review the results every week
  • A group of real users for the pilot
  • Access to the data sources (Microsoft 365, Google Workspace, ERP, CRM or APIs), granted by your IT
  • The cloud or servers the agent will run on: Azure, Google Cloud, AWS or your own infrastructure

What is not included

  • AI model licences and consumption, billed directly by the provider
  • More than one agent or more than one process
  • Automated decisions about people, such as recruitment or performance reviews
  • Large-scale data clean-up or migration; if the sources are not ready, discovery shows it
  • Ongoing operation and improvement after handover, which can be contracted separately

When this is not the right first step

If the process mostly depends on case-by-case judgement and nobody can write down the rules, an agent is not the place to start. If the process is always the same and never needs to read text or interpret documents, an automation with Power Automate or n8n does the job at lower cost.

Frequently Asked Questions

Get answers about this service

The price is fixed and agreed at the end of discovery, once the process, the data sources and the autonomy level are defined. AI model licences and consumption are billed by the provider, on consumption; we estimate them during discovery for the expected volume.
We pick the model per task: OpenAI, Claude, Gemini or open-source. The architecture is model-agnostic, so you can switch models later, when another is better or cheaper, without rewriting the agent.
In your company’s infrastructure — Microsoft 365 and Azure, Google Workspace and Google Cloud, AWS or your own servers — with EU data residency. The agent only sees what its user can already see, and your data is not used to train models.
Not by default. Anything that goes outside — replies, follow-ups, opinions, reports — stays as a draft for human approval. Low-risk internal actions can be automatic, and autonomy only grows when the pilot metrics justify it.
We classify the agent’s risk and document its purpose, the data it uses and the human oversight. Productivity agents like the ones in this offer do not make decisions about people and, as a rule, fall outside the high-risk categories.
You receive the agent in production, the runbook, the metrics report and a go/no-go recommendation. You can run the agent with your own team or with AvantIT, scale it to more users or move on to the next agent; the decision is yours.

Worth reading before you decide

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Want to know if this offer fits your company?

In a 30-minute call we confirm the scope, then send you a fixed-price proposal.

Request a proposal