A qualified use case
Expected value, risk, data needs and human responsibility defined before implementation.
Europe · AI automation for B2B
AI automation for B2B work that is worth automating.
Remove a proven operational constraint with a system people can inspect, correct and own.
Your team spends hours on work a machine should do. We find the tasks where automation actually pays off, build the AI tools around your existing systems, keep a person checking the results and document everything so your team can run it without us.
Goal
More valuable work completed without losing control of quality
Good fit if
A repeated, understood workflow consumes expert time or delays customers
We start by
Measure the current workflow and decide what must remain a human judgment
The problem
A model demo is not an operating capability.
Useful automation needs a stable job, access to the right context, known failure modes, an owner and a recovery path. Without those, a fast prototype becomes another hidden manual process.
- Skilled people repeatedly collect, classify or rewrite the same kind of information.
- Customer or growth work waits on handoffs that follow understandable rules.
- AI experiments exist, but no one monitors quality, cost or business impact.
What changes
Build a controlled capability, not an AI ornament.
A production workflow
Integrations, prompts or agents, validation, review and fallback designed as one observable system.
An owned operation
Cost, quality and exceptions measured, with documentation for the people responsible after handover.
What we do
Where AC0 applies AI and automation
The tool follows the workflow. AC0 can use models, conventional automation or a combination, depending on reliability, cost and maintainability.
- Research, enrichment and structured data workflows
- Content preparation with editorial review
- Lead qualification and CRM assistance
- Internal knowledge retrieval and decision support
- Customer onboarding and operational handoffs
- Evaluation, monitoring, cost controls and runbooks
Best fit: a company that can show the current workflow, provide representative examples and assign an internal owner. Sensitive or high-impact decisions require proportionate human review.
How we work
First understand. Then build. Then improve.
- 01
Understand
Agree on the goal, the customer and what is slowing growth today.
- 02
Build
Create the pages, content, CRM, automation or AI tools the job needs.
- 03
Reach people
Use the two or three sales and marketing channels most likely to work.
- 04
Improve
Run the work, improve it, write down how it works and hand it over.
Real examples
See what AC0 has built.
Four examples explain the problem, what we built and what we can prove. We name owned products, not clients.
See our work →FAQ
Before you apply.
Do we need to know which AI tool to use?
No. Start with the job, constraints and evidence. AC0 selects the simplest dependable approach and avoids binding the workflow to a model without a reason.
Can you automate an entire department?
That is not a useful starting scope. AC0 begins with a bounded workflow where quality and value can be observed, then expands only when the evidence supports it.
How do you manage AI errors?
The design includes validation, confidence or exception rules, human review where needed, logs and a defined fallback. The exact controls depend on the impact of an incorrect output.
Work with AC0
Tell us what is slowing growth.
Answer five short questions. If we can help, David will personally suggest the next step.
Tell us about the problem →