Founding Program

Turn the audit into a working solution.

Agent Success Audit plus implementation of the agreed use case. We agree the pages, data, functions, access requirements and delivery schedule before work begins.

Can your customers use AI to get things done?

A customer asks AI to compare products, request a quote or book a service. Missing facts, inaccessible tools or unclear permissions can stop the task. We build the agreed pages, data and functions so agents can use your offer. How we work. Our public tests show the barriers we measure: Explore the DAX 40 Index.

The scope

Five questions to define the work.

01

Where should we start?

We choose the products and customer tasks where a better Agent Surface would matter most.

02

Who uses AI to find you?

Which customers ask AI for help, and what do they need to decide?

03

What supports your offer?

Which facts help agents check your claims, and where is evidence missing?

04

Are our tools ready?

Can agents use your calculators, product finders, and booking flows ; or are they human-only?

05

What would it take?

A plan for the pages, data and functions to build, with scope and budget.

Process

Audit. Build. Test the result.

SELECT Before kickoff

Agree the task, scope, access, schedule and success criteria before kickoff.

AUDIT Baseline

Test where agents find your offer and where the task gets blocked.

CONFIRM Audit findings

Review the priorities together and confirm implementation within the agreed scope.

BUILD Agreed schedule

Build the agreed pages, data and functions. Your team approves publication.

VERIFY After implementation

Repeat the same task with the same agents and document what changed.

Deliverables

The audit, the implementation and the evidence.

Agent Success Audit

The baseline, missing evidence and blocked task steps, with priorities for implementation.

Agreed implementation

The pages, structured data and functions specified for your customer task.

Before-and-after test

The same task tested again, with evidence of what works and what remains open.

Your systems, your rules

Access and allowed actions agreed with your team. Your existing systems remain the source of truth.

Handover

The delivered work and test findings, with next steps agreed from the results.

Investment
€4,500

entry price for audit + agreed implementation, net of VAT

Agreed scope Agreed schedule One use case

We agree what is included before work begins.

Delivery depends on scope and the required access.

For teams ready to make their offer usable by AI agents.

Signals you're ready

  • You have quote flows, configurators, calculators, or booking systems that live behind JavaScript or login walls
  • Your customers use AI when choosing an offer.
  • You want to make a specific product or service usable by AI agents.
  • Your team can provide the required access and approve the implementation

Signals this isn't the right fit

  • You're looking for a monitoring dashboard ; we build, not just measure
  • You want guaranteed AI recommendations ; no one can promise that
  • You need a full implementation in 48 hours; delivery depends on the agreed scope and access
A MING Labs venture

15 years shipping · €50M+ delivered · 40+ enterprise clients · 0 VC dollars

AGREED ACCESS ONLY YOUR SYSTEMS AND RULES APPROVAL BEFORE PUBLICATION CLIENT RESULTS CONFIDENTIAL PUBLISHED ON YOUR DOMAIN EVERYTHING REMAINS YOURS

Three ways to start.

Recommended

Option 1

Discuss my project

€4,500 · Entry price · Audit + agreed implementation

  1. Choose the customer task
  2. Agree deliverables, access and schedule
  3. Audit, implement and test

We agree what is included before work begins.

Discuss my project

Option 2

See the evidence first

Free Agent Success Snapshot

See where AI finds your offer and which task an agent can complete. Your report within 48 hours. No commitment.

Request my free snapshot

Option 3

Talk to us first

20-minute fit check

We discuss whether this fits your situation.

Request my call

Matthias or Sebastian will respond personally.