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AI automation that takes work off your team's plate

Preparing quotes, consolidating invoice data, routing emails. We bring recurring workflows into live operation, with a measurable reduction in workload and clear approvals.

We have successfully brought AI automation into production: an AI agent creates quote PDFs in under 60 seconds and files them in the CRM. A person reviews and approves them. Together with other MCP workflows, this saves around 100 hours of manual work per month in sales and administration.

Automatisierter Workflow: Dokumente laufen durch Prüfschritte bis zur menschlichen Freigabe

From draft quote to approved document

The quoting process we automated combines AI with existing systems and a mandatory human review. It has been running in production via MCP since 2025: an agent creates project specifications, compares previous quotes, estimates the effort and generates the PDF. Sales checks content, pricing and commitments before approval.

Other workflows we have brought into production prepare invoices or answer recurring questions in support for the job platform Just Jobs. We bring this experience to your project. Ahoi Kapptn! combines 13+ years of delivery experience with a team of 20+ people. Philipp Jahoda, CTO and co-founder, is responsible for the AI systems we put into production for clients.

Which processes can be automated?

Recurring processes with clear inputs, verifiable results and named owners are well suited for a first workflow.

Quote creation

An agent can create a draft quote from an inquiry and pull in comparable quotes. Your sales team checks effort, price and scope before it goes out.

Invoice preparation

A workflow can consolidate order data and payment terms and prepare a draft invoice. Your finance team checks the details and approves the next step.

Email triage

AI can sort incoming messages by topic, extract information and route them to the right people. Unclear cases go to manual review, and draft replies stay under your control.

Document review

AI can flag mandatory information, missing documents or discrepancies and point to the relevant passages. Decisions with professional or legal implications are made by the responsible person.

CRM maintenance

A workflow can structure meeting notes and prepare updates for contacts, project status or next steps. Changes follow defined rules and have a traceable origin.

Supplier emails

A workflow can analyze supplier emails, detect delays and notify the responsible person. Your purchasing team decides what happens next.

When AI automation pays off

A process is worth automating when the usable time savings justify the development and ongoing operating costs. To assess this, we gather case volume, processing time and your internal hourly rate. We deduct the time still needed for review, corrections and exceptions from the potential savings.

Monthly time value = net hours saved × internal hourly rate. We compare this value with the one-off costs for discovery and development and the ongoing costs for hosting, models, licenses, maintenance and support. The monthly surplus gives you the expected payback period.

The roughly 100 hours saved per month by the quoting workflow we built are real-world evidence, not a forecast for your company. Freed-up capacity also only becomes a financial saving once you can actually put it to use. In operation, we compare the calculation with actual processing times and correction effort.

n8n, Make, custom code or MCP?

We choose the tool based on interfaces, process logic and operating requirements. Workflow automation doesn't need AI at every step: fixed rules stay fixed rules, while language models help with unstructured text and documents.

n8n for workflows in your own operating environment

n8n offers cloud and self-hosting. We consider it when you want to orchestrate workflows between systems and decide on the operating environment yourself. An n8n agency should also be able to explain maintenance, error handling and responsibilities.

Make for workflows between compatible apps

Make connects apps via scenarios and modules. We consider it when the available integrations cover your process and a managed service fits your data and operating requirements.

Custom code for specific requirements

Custom code is an option when special interfaces, complex business rules or requirements for performance and testing go beyond what a visual workflow can handle. It can also be used to add individual steps in a targeted way.

MCP for agents' tool access

MCP standardizes the exchange with data sources and tools. We use it when an agent needs to operate company systems via defined interfaces. We plan permissions, approvals and logging on top of that.

Approvals and logs are part of the process

AI process automation needs clear boundaries: Who is allowed to read data, trigger changes and approve results? We define roles, permissions and human review steps together with your business team. Quotes, draft invoices and sensitive changes get defined approval steps.

Audit logs make calls, changes, errors and approvals traceable. If results are unclear or an interface fails, the workflow has to pause or hand over to a responsible person. Who is responsible for monitoring and troubleshooting is settled before launch.

EU hosting or on-premise are possible deployment options. We take GDPR and the EU AI Act into account during planning and clarify data flows and access. Our ISO 27001 certification is in its final stages.

Isometrische Illustration: Das Ahoi Kapptn! Logo als Anker

How to start with a manageable process

The starting point is a free, non-binding intro call about a specific workflow. You bring sample documents, the systems involved and the time the process takes today. If the priority is still open, our AI consulting can help.

Next, a compact fixed-price discovery delivers a reliable plan for scope, timeline and budget. We define the outcome, approvals and metrics before development starts. Implementation runs as a monthly team retainer, so you know the monthly costs in advance.

A dedicated, experienced team supports development and operation. You can factor funding options into your planning via our page on AI funding in Austria.

What else does your process need?

Depending on the task, agents, system integration and your overall AI planning complement the workflow.

AI agent development

If a process needs to classify information and choose the right tools, we assess whether an agent makes sense.

Explore AI agent development

Connect your systems

A middleware layer connects existing applications via defined interfaces and centralizes integration logic.

Explore the middleware layer

AI in your company

Place your workflow within your overall AI planning and find the right services for other tasks.

AI services at a glance

What automation looks like day to day

Agents and workflows we have brought into production, with clear approval steps for people.

Ahoi AI Agenten im MacBook
Local AI mit Antwort und Quellen aus dem Unternehmenswissen

Frequently asked questions about automation

Start with a process whose value you can measure

Explore AI consulting