# Implementation · VANDAM

> Introduce the right combination of existing tools and custom software into your business. We coordinate the setup, connections, process changes and coaching that help your team use it day to day.

URL: https://vandam.ai/approach/implementation  
Contact: hendrik@vibelab.be

[Strategy](https://vandam.ai/approach/strategy)

[Implementation](https://vandam.ai/approach/implementation)

[Engineering](https://vandam.ai/approach/engineering)

[Education](https://vandam.ai/approach/education)

# Put AI to work in your team.

Introduce the right combination of existing tools and custom software into your business. We coordinate the setup, connections, process changes and coaching that help your team use it day to day.

[Talk about your team’s workflow](mailto:hendrik@vibelab.be?subject=VANDAM%20/%20Implementation)

## Tools, process and adoption.

- **A configured setup**
  Selected tools and connections, with agreed access, source material and task instructions.
- **An operational workflow**
  A documented way to complete the task, with clear responsibilities, review points and exception handling.
- **A supported rollout**
  Training, workflow coaching and a way to track usage, task outcomes and where people need help.

## Most of the gap sits between the tool and the team.

[Anthropic](https://www.anthropic.com/research/labor-market-impacts) measured it in March 2026. Language models could take on **94%** of the tasks in computer and math jobs. In practice, Claude covered **33%** of them.

Could do

94%

Actually used

33%

Share of tasks in computer and math jobs. Source:

[Anthropic](https://www.anthropic.com/research/labor-market-impacts)

, March 2026.

Inside its own company, [Anthropic](https://www.anthropic.com/research/employment-at-anthropic) found where the time goes. Around **80%** of an agent session is spent idle, waiting for human input. The report calls human attention “the bottleneck for agent output.”

That waiting is what a rollout has to fix. We decide with the team who supplies the information, who checks the result and who takes over when the system gets stuck. We start from how people work today: the tools they already use, their confidence with AI and the obstacles in their way.

## How the rollout happens.

1. Assess with the team: Employee surveys and conversations with team leads establish the starting point. Your people show us their current tasks, while we review requirements with the relevant system owners.
2. Introduce it to a small group: We configure the agreed tools and coordinate any custom development. A first group uses the process, gives feedback and helps us refine the setup and guidance before wider introduction.
3. Support and adjust: We coach the wider team, review progress against the starting point and address the obstacles that remain. An internal owner takes responsibility for the process, with continuing support agreed around your needs.

## Choosing what to use.

We assess the task, the systems it touches and the people who will run it before settling on the tooling.

### Existing tools

We assess capabilities, permissions, data handling, integration options and recurring costs. Configuration includes the material the tool can use, the instructions it follows and how it fits the team's existing accounts and responsibilities.

### Custom software

When existing products cannot meet the requirements, we scope and build custom software. Implementation covers how it reaches users, connects to their tools and becomes part of their daily work.

### A combination that can be maintained

Existing products and custom components can work together. We make their boundaries and dependencies clear, identify who maintains each part and account for the effect of updates. Coaching and user feedback continue to inform the setup.

## Tools we work with

We choose around the task, your team and the systems you already use.

- **[Wispr Flow](https://wisprflow.ai/)**
  Voice dictation
- **[Lovable](https://lovable.dev/)**
  Build web apps
- **[Codex](https://openai.com/codex/)**
  Build and review code
- **[Claude](https://claude.com/)**
  Write, research and analyze
- **[Clay](https://www.clay.com/)**
  Research and enrich accounts
- **[ChatGPT](https://chatgpt.com/overview/)**
  Research, writing and analysis
- **[n8n](https://n8n.io/)**
  Connect tools and automate work
- **[Cursor](https://cursor.com/)**
  Develop software with AI

## Services for this step

### Company Brain

Company knowledge, with the sources attached

**$19,200** three weeks

### Invoice to ERP

Supplier invoices matched and posted to your ERP

**$24,000** three weeks

### Agent Onboarding

Your data, tools and inboxes connected to every new agent

**$9,600 + $1,600/mo** two weeks · then monthly

### Account Brains

Cited research on twenty target accounts

**$11,200 + $1,600/mo** ongoing · refreshed monthly

### Agent Ops

We run your live agents after go-live

**$3,200/mo** monthly · six-month minimum

### Team Harness

Roll out Claude to a whole team, safely

**$12,800** three weeks

### Token Ledger

AI spend per person, team and model, next to what it produced

**Start with a conversation** One email to Hendrik, then a price for the service that fits, agreed before we start.