# VANDAM

> VANDAM is an AI transformation studio run from Ghent, Belgium, for companies of 20 to 500 people in Europe and the United States. It redesigns how work gets done around AI agents, then builds the systems and hands them over. Every service has a published price, an indication from past projects that can vary a little with the size and complexity of the company.

Contact: hendrik@vibelab.be. Founders: Hendrik De Winne and Thomas De Winne, CFA. Models: Claude, ChatGPT, Gemini, Copilot, Grok and open-source models, chosen per task (https://vandam.ai/models).

## Strategy

Decide where AI goes first, and end with a plan you can act on.

- [VANDAM Floor Plan](https://vandam.ai/floor-plan): How your company works today: people, roles and workflows, mapped before any AI. $6,400, two weeks · credited if you continue. For leadership teams at 20–500 person companies.
- [VANDAM AI Opportunity Map](https://vandam.ai/ai-opportunity-map): A prioritized plan for your next AI projects. $9,600, two weeks. For leadership teams at 20–250 person companies.
- [VANDAM Agent-Ready Audit](https://vandam.ai/agent-ready-audit): Assess your data, systems and access. $9,600, two weeks. For leadership and operations teams at 20–200 person companies.
- [VANDAM Agent Relationship Audit](https://vandam.ai/agent-relationship-audit): How AI tools find, compare and recommend your business. $11,200, two weeks. For commercial and marketing teams at 50–500 person companies.
- [VANDAM Pilot Workshop](https://vandam.ai/pilot-workshop): Design one AI pilot with your leadership team in a day. $4,800, one day. For leadership teams at 20–500 person companies.

## Implementation

Systems brought into the work, connected to your tools and handed over to your team.

- [VANDAM Company Brain](https://vandam.ai/company-brain): Company knowledge, with the sources attached. $19,200, three weeks. For leadership and operations teams at 30–300 person companies.
- [VANDAM Invoice to ERP](https://vandam.ai/invoice-to-erp): Supplier invoices matched and posted to your ERP. $24,000, three weeks. For finance and operations teams at multi-site businesses.
- [VANDAM Agent Onboarding](https://vandam.ai/agent-onboarding): Your data, tools and inboxes connected to every new agent. $9,600 + $1,600/mo, two weeks · then monthly. For operations and IT leads at 30–500 person companies starting to run agents.
- [VANDAM Account Brains](https://vandam.ai/account-brains): Cited research on twenty target accounts. $11,200 + $1,600/mo, ongoing · refreshed monthly. For B2B sales teams at 20–100 person companies.
- [VANDAM Agent Ops](https://vandam.ai/agent-ops): We run your live agents after go-live. $3,200/mo, monthly · six-month minimum. For operations and IT leads with agents in production.
- [VANDAM Team Harness](https://vandam.ai/team-harness): Roll out Claude to a whole team, safely. $12,800, three weeks. For COOs, CTOs and team leads at 20–500 person companies.
- [VANDAM Token Ledger](https://vandam.ai/token-ledger): AI spend per person, team and model, next to what it produced. $9,600 + $1,600/mo, two weeks · then monthly. For finance, IT and operations leaders at 50–500 person companies.

## Engineering

Custom software, tests and independent audits, with verified findings and the fixes attached.

- [VANDAM MCP Retrofit](https://vandam.ai/mcp-retrofit): Connect your product to Claude, ChatGPT and other MCP clients. $12,800, two weeks · plus hosting. For product and engineering teams at B2B software companies.
- [VANDAM Adversarial App Audit](https://vandam.ai/adversarial-app-audit): Verified security findings with code fixes. $4,800, one week. For founders and engineering teams with a live application.
- [VANDAM Local Law 144 Audit](https://vandam.ai/local-law-144-audit): Bias audits for hiring tools covered by NYC Local Law 144. $8,000, annual · repeats every year. For HR, people and legal teams using automated hiring tools.
- [VANDAM Agent Attack Audit](https://vandam.ai/agent-attack-audit): Red-team your agents and their connections. $6,400, two weeks. For operations, IT and security leads at 20–500 person companies with agents in production.
- [VANDAM Eval Suite](https://vandam.ai/eval-suite): Test every new model on your own work. $12,800, three weeks. For operations and technology leads with one to three agents, live or planned.
- [VANDAM Private AI](https://vandam.ai/private-ai): Run sensitive steps on a model you control. $16,000, three weeks · plus hardware or hosting at cost. For companies of 20 to 500 people with workflows whose data should stay in the building.
- [VANDAM Source Cleanup](https://vandam.ai/source-cleanup): Clean the data your agents will read. $12,800, three weeks. For operations, finance and IT leads at 20–500 person companies about to connect agents to company data.

## Education

Training and advice on your own work, so the skills stay with your people.

- [VANDAM 100×worker Program](https://vandam.ai/100x-worker-program): Role assessments and training on your own work. $8,000, two weeks · up to 50 people, $120 per person beyond. For leadership and people teams at 20–200 person companies.
- [VANDAM Judgment Vault](https://vandam.ai/judgment-vault): Expert decisions, documented and tested. $16,000, four weeks · per decision maker. For owners and department heads whose decisions depend on one person.
- [VANDAM AI Colleague](https://vandam.ai/ai-colleague): A weekly call on what changed in AI and what it means for you. $2,400/mo, weekly call · monthly, stop any month. For CEOs, leadership teams and the people who own AI at 20–500 person companies.
- [VANDAM Personal AI Setup](https://vandam.ai/personal-ai-setup): Your own assistant, set up properly. $4,800, one week · per person. For founders, CEOs and executives at 20–500 person companies.

## All of it, together

- [VANDAM Company Redesign](https://vandam.ai/company-redesign): Redesign how the whole company works around AI. From $64,000, ten weeks or more, scoped to the size of the company. For CEOs and leadership teams at 20–500 person companies.

## Company

- [All services](https://vandam.ai/services)
- [Why VANDAM](https://vandam.ai/why-vandam): key facts and FAQ
- [Approach](https://vandam.ai/approach): strategy, implementation, engineering and education
- [VANDAM Weekly](https://vandam.ai/weekly): a free weekly email on what changed in AI

## Notes

- [Who owns what your AI learns.](https://vandam.ai/notes/own-your-intelligence): Most companies rent their AI. Why YC asks for startups that help companies own their intelligence, and the four things a mid-sized company can own this year.
- [Delete the step first and give the agent whatever survives.](https://vandam.ai/notes/delete-the-step-first): Musk’s five steps put automation last. Why AI makes automating first cheap and invisible, and how to run accounts payable in the right order.
- [Your agents need a critic and so does the plan they carry out.](https://vandam.ai/notes/agents-need-a-critic): Why no AI agent should check its own work, how to design review so a person spends minutes per unit, and who should challenge the plan itself.
- [Fix a mistake once by turning every correction into a rule the agents read.](https://vandam.ai/notes/fix-a-mistake-once): Turn every correction of an AI agent into a rule and a test with a named owner, and track the repeat-mistake rate. The part that survives a model change.
- [Plan for the week your AI vendor goes away, before someone else picks the date.](https://vandam.ai/notes/plan-for-your-ai-vendor-leaving): Treat your AI model provider as a single-source supplier: a tested second provider, owned prompts and evals, and API terms in every renewal.
- [Most of your AI list needs software and only a few items need an agent.](https://vandam.ai/notes/most-of-it-needs-software): Most AI requests are rules for software. Agent reliability and cost data, four tests, and ten mid-market requests sorted into software, agent or person.
- [Your outside firms got faster with AI and you are still paying for the old hours.](https://vandam.ai/notes/reprice-your-outside-firms): Your law firm, auditor and agencies got faster with AI while invoices stayed the same. A CFO playbook to reprice per deliverable and renegotiate software.
- [Check every invoice, not one in twenty, now that a judgment costs a tenth of a cent.](https://vandam.ai/notes/check-every-invoice): At under a tenth of a cent per model check, finance can test every invoice and expense line. The math, the audit rules, and a plan for a 500-person firm.
- [The work you never did because it never paid is where the largest AI return sits.](https://vandam.ai/notes/work-you-never-did): The largest AI return is the expert work a mid-market firm skips today. What Jevons, ATMs and translation show, and how to pick the first three.
- [Ask what your agents can reach because any text they read can give them orders.](https://vandam.ai/notes/what-your-agents-can-reach): Any text an agent reads can steer it. A one-page reach review for every agent, and a sandbox for the agents your employees already brought.
- [Why most AI pilots stall and how to choose one that scales.](https://vandam.ai/notes/why-pilots-stall): What MIT's 95% AI failure figure really measured, why pilots stall before production, and a five-point rule for choosing a pilot that scales.
- [Measure the work before you let AI change it.](https://vandam.ai/notes/measure-before-you-automate): Why most firms cannot prove AI ROI, and a two to four week method for CFOs to baseline hours, cycle time, rework and cost per unit before AI.
- [Before you automate anything, find out where the hours actually go.](https://vandam.ai/notes/map-the-work-first): Where the hours really go before AI: coordination, handoffs and exceptions. The evidence, and a two-week method to rank tasks by hours times feasibility.
- [What managers do now that part of every team is agents.](https://vandam.ai/notes/what-managers-do-now): Companies are cutting manager layers as agents take on coordination. What the data says about span of control, and a manager role redesigned for agents.
- [Once agents do the middle of the work, your people should own both ends.](https://vandam.ai/notes/ai-does-the-middle): Agents do the middle of a task; people own the start and the end. How to redesign a role around intent, review, exceptions and accountability.
- [How to tell your people what AI will change about their jobs.](https://vandam.ai/notes/telling-your-people): How CEOs and CHROs should tell employees what AI changes: what Amazon and Duolingo show, the trust data, a six-step sequence and what never to promise.
- [The AI line in your budget should be priced per finished task.](https://vandam.ai/notes/cost-of-the-i): AI return on investment as a CFO should see it: why budgets move from licenses to tokens and outcomes, and how to measure cost per completed task.
- [AI spreads through a few people who build for their own work.](https://vandam.ai/notes/tinkerers): AI spreads through a few people who build for their own work. What the Shopify and Duolingo memos show, and what a company can give those people.
- [What changes in your controls when an agent can post to the ledger.](https://vandam.ai/notes/agents-and-internal-controls): How AI agents in AP and the close change SOX controls: segregation of duties, change management, audit trails, sign-off, and a 10-point checklist.
- [What a firm should keep inside once agents make coordination cheap.](https://vandam.ai/notes/coase-and-the-firm): Coase's 1937 theory of the firm, rerun now that agents cut the cost of coordination: what moves out, what comes back in, and what stays expensive.
- [AI transformation has ten steps and only one of them is AI.](https://vandam.ai/notes/ten-steps-one-is-ai): The ten steps of making a process AI-native, walked through one quote process: why mapping, data and adoption take the time and the AI step is short.
- [Europe can lose the model race and still win on AI.](https://vandam.ai/notes/europe-diffusion-bet): Europe's case for AI diffusion over frontier models: Ding, Draghi, Apply AI, Eurostat, the ECB, and the access objection, read at company level.
- [Who should do your AI work, now that the labs sell it too.](https://vandam.ai/notes/who-does-the-work): The AI labs and investors moved into services in 2026. Four ways a mid-sized company can get its AI work done, and when each one is the right call.
- [Who trains your next senior once agents do the junior work.](https://vandam.ai/notes/who-trains-the-next-senior): AI is shrinking entry-level hiring. What the data shows, why it empties the pipeline to senior roles, and how to rebuild apprenticeship around agents.
- [What your company knows becomes the asset once agents do the work.](https://vandam.ai/notes/context-compounds): Once agents do the work, a company's decisions and the reasons behind them become its asset. Why most firms lose them, and four things to capture first.
- [Why AI licenses rarely make a company faster.](https://vandam.ai/notes/adoption-vs-diffusion): Adoption counts logins, diffusion changes the work. Why 88% of firms use AI, 5% get value, and what redesigning the work looks like inside one company.
- [What Anthropic found when its agents outworked its people.](https://vandam.ai/notes/inside-anthropic): A close reading of Anthropic's report on its own jobs: agents at 6 to 1, attention as the bottleneck, fewer juniors, and lessons for a 300-person firm.
- [The new org chart has written rules.](https://vandam.ai/notes/org-chart-redrawn): Block, Coinbase and Fiverr rewrote their org charts around AI in public. The five rules they share, what the layoffs hide, and what Klarna learned.
- [Why our AI team hires from HR and finance.](https://vandam.ai/notes/ai-needs-hr-and-finance): Why an AI transformation team needs HR and finance next to engineers, shown through one redesigned month-end close, and who VANDAM is hiring.

## For agents

- [Agent index](https://vandam.ai/agents): the whole site in plain Markdown
- [llms-full.txt](https://vandam.ai/llms-full.txt): every page in one file
- [services.json](https://vandam.ai/services.json): the service catalog with prices
- Any page as Markdown: add .md to its path, the homepage is /index.md