AP/AR accounting clerk
Books, reconciles and chases invoices and collections in commerce and industry: e-invoices, tickets, banks, customer debt and supplier payments.
See the roleArtificial intelligence applied to daily work
We take one role in your company and augment it with AI agents.
We don't sell a platform or a workshop. We pick one concrete role — the person who books and reconciles invoices, closes the hotel's cash at dawn, documents the plant's production — and hand over the agents, the tools and the know-how so that person does the same work in a fraction of the time, with fewer errors.
Roles we augment
We start with one role, not the whole company
Our focus is the administrative work that repeats every single day in commerce, industry, hospitality, plants and farming. The cost is not one person's salary — it is the team you need so the close is never late.
Hotel night auditor
Closes cash, charges and occupancy every night: check-ins, POS, agency settlements, no-shows and the report for reception and accounting.
See the role
Plant administrator
Documents production, goods receipts and stock so the factory can close its day: shift reports, weighbridge tickets, non-conformities and quality paperwork.
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Agricultural payroll and settlement
Pays farm wages and settles accounts with producers, hauliers and grain stores: piece rates, advances, livestock, grain and timber.
See the roleWhat augmenting a role means
An agent is not a chatbot sitting next to the work
Agents that execute tasks, not conversations
An agent reads your data sources, runs the task end to end — reconcile, compare, draft, verify — and leaves the result where the person expects it. Nothing has to be copied and pasted into a chat window.
Inside your tools and your data
We work on the systems you already use: your core system, bank statements, spreadsheets, mailbox, document store. The agent joins the existing process instead of asking people to move somewhere else to work.
The person stays in charge
The agent prepares, proposes and flags; the person reviews and approves. We define what it may do alone, what needs confirmation and what gets logged, so control and accountability stay where they belong.
Know-how transferred, not dependency
You get the agents, the documentation and the training, so your team can adjust them, extend them and build the next ones without us.
1. Role assessment
We sit down with the person who holds the role and map their week task by task: which data they touch, how long each step takes, where the errors come from. We leave with a shortlist of candidate tasks, ranked by recoverable hours and risk.
2. Pilot agent
We build and deploy the agents for that role, on your data and your tools, with the person in the loop from day one. The pilot is not a demo: it runs in the real work and is measured against the old way of doing it.
3. Rollout and enablement
We formalise the limits, the audit trail and the documentation, train the team to run and adjust the agents, and extend the model to neighbouring roles that share the same data and processes.
Who we work with
- 1 role
- is the starting point: closed scope, visible result in weeks.
- 14+ years
- of digitalisation experience in financial services, automotive and construction.
- 3 languages
- Spanish, English and German, between Europe and Latin America.
- 2 companies
- co-founded: we know what it takes to move from pilot to operation.
Why now
The cost of waiting is no longer theoretical
Every month a role keeps doing by hand what an agent can already do is capacity your firm pays for and never receives. This is not about saving on licences: it is qualified people spending their days consolidating spreadsheets.
The competitor who augments their back office first does not issue a press release. They simply answer faster, report without errors and serve more clients with the same team.
The advantage is not in the model either — the models are available to everyone. It is in knowing the process well enough to know which part can be handed to an agent, and under which controls.
About us
People who have implemented, not just advised
Sebastián Domínguez Kränzlin
Co-founder · AI implementation in day-to-day processes
As co-founder of two companies and currently general manager of a Munich Re investment fund, I know financial organisations from the inside: where time is lost, which controls are non-negotiable and what it takes for a new tool to actually be adopted.
Ingrid Wildemann
Co-founder · Adoption, training and change management
As co-founder of the Upper Bavaria fabrication laboratory, currently a member of its executive board and regional manager of the Miesbach district, I work where technology meets the people who have to use it.
Frequently asked questions
- What exactly does Innomanagers do?
- Innomanagers takes one concrete role inside a company and augments it with artificial-intelligence models and agents. We map the real tasks of that role, build the agents on the company's own tools and data, and train the person in the role to operate them.
- What is an AI agent in day-to-day work?
- It is a program that uses language models to run a complete task inside a process: pull data from several sources, check it against a rule, draft a document or prepare a report, and leave the result ready for a person to review and approve.
- Why start with one role instead of the whole company?
- Because a role has an owner, an observable process and a measurable result. A company-wide AI strategy takes months to produce anything usable; one augmented role shows up in weeks and pays for the next step.
- What kind of companies do you work with?
- Mainly mid-sized companies in commerce, industry, hospitality, agribusiness and farming, where daily administrative work consumes more people than it should.
- What happens to our data?
- From the assessment onwards we define which data each agent touches, where it is processed and what gets logged. We work on least-privilege access and leave a full audit trail of every agent action for internal and regulatory review.
- Will this replace our people?
- No. The goal is for the same person to cover more high-value work: the agent takes the repetitive, verifiable part, and the person keeps the judgement, the client relationship and the decision.
- How long until we see a result?
- The role assessment takes two to three weeks. The first agent in production, in real use and measured, is usually live between weeks four and eight.
Which role should you augment first?
In a 30-minute first call we can identify the role with the most recoverable hours in your firm — and tell you frankly whether starting there makes sense.