Productive implementation for real business processes

AI Assistants & Workflows

We implement one clearly scoped AI assistant or workflow productively for your business — so teams can work faster, do less manual work, and integrate AI meaningfully into existing operations.

from EUR 12,900clearly scopedreal team operationsproductive instead of demo

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Many companies see the potential of AI, but day to day it often stays at the level of demos, isolated solutions, or vague ideas. What is missing is one concrete use case with real operational relevance, clear boundaries, and a visible outcome.

With AI Assistants & Workflows, we implement exactly that kind of first case: clearly bounded, integrated into real team operations, and focused on practical value in day-to-day work.

Value for your business

You reduce manual process work in one clearly scoped flow and see faster where the business case actually holds.

What you concretely get with this offer

a first productive assistant or workflow case

instead of more experiments without day-to-day use

less manual prep work and cleaner handoffs

inside one clearly scoped team or business process

a credible basis for further rollout

toward additional use cases, teams, or integrations

Use cases

Typical use cases

This makes the offer tangible without locking it to just one single use case.

Lead qualification and meeting preparation in sales

Reply preparation and case structuring in support

Proposal or document assistance

Inbox, handoff, or approval workflows

Internal expert assistants for recurring team questions

Process-adjacent assistance in operations or administration

Included

Selection of a clearly scoped assistant or workflow case with real operational relevance
Definition of the target state, scope, and success criteria
Modelling of the core logic and relevant process steps
Implementation with clear roles, boundaries, and integration points
Go-live support for the first productive use
Recommendation for the next sensible expansion step

Best fit

Teams with recurring communication-heavy, document-heavy, or knowledge-heavy business processes
Companies that want AI integrated into real operating workflows
Areas where assistance, clean handoffs, and process logic come together
Organizations that want to move from sprint or workspace into one productive implementation case

Outcome

a clear target state
defined scope
visible operational relevance
and a credible basis for further rollout

That turns abstract AI potential into a real first use case in day-to-day operations.

Clarification

A clear first scope instead of an open-ended large project

This offer is intentionally designed around one first clearly scoped case. We do not start with everything at once, but with one credible first implementation that proves its value in day-to-day work.

That keeps the entry point

easier to understand
faster to decide
more controllable in effort and risk
and far better suited for follow-on expansion

Process

How implementation typically works

1. Select the use case

Together, we identify one clearly scoped assistant or workflow case with real operational value.

2. Define scope and success

We define what the first case should achieve, which systems are involved, and how success will be measured.

3. Implement the core logic

We build the central assistant or workflow logic with clear boundaries and relevant integration points.

4. Put it into production

The first case goes live in a controlled way and becomes usable in the real team context.

5. Recommend the next expansion step

If the first case delivers, we define the most sensible next steps for additional processes, teams, or integrations.

Pricing

Pricing & options

Scope

Starter scope

from EUR 12,900

one clearly scoped assistant or workflow with 1–2 systems and a defined goal

Standard scope

from EUR 16,900

a broader use case with more robust logic, additional integrations, and greater operational maturity

Integration-heavy

from EUR 24,900

for deeper ERP/CRM integration, more complex permissions, or higher operating requirements

Optional ongoing

Care & further development

from EUR 990 / month

Governance

More than pure automation

This offer intentionally covers more than plain workflow automation. It can combine assistance, partial automation, process logic, and integrations in one clearly defined business use case.

clear assistance for recurring team tasks
partial automation with visible day-to-day value
defined process logic and cleaner handoffs
integration into relevant systems and existing operations

Next step

If the first case works, we scale it in a controlled way

Typical next steps are:

additional integrations

when the first case needs more system context or more robust data flows

more assistant use cases

when similar tasks in adjacent roles should also be accelerated

adjacent processes

when one first use case should become a more complete process logic

rollout to further teams

when the first productive case is also relevant in other parts of the business

care & further development

for stabilization, refinement, and the next sensible expansion step

FAQ

Frequently asked questions about AI Assistants & Workflows

Do we already need to know exactly which use case we want to implement?

Not necessarily. If the need is not yet clearly prioritized, an AI Opportunity Sprint is often the better first step. If the case is already clear enough, we can also start directly.

Is this just automation?

No. The offer intentionally covers more than workflow automation. It can combine assistance, partial automation, process logic, and integrations in one clearly defined business use case.

Is this a chatbot project?

Not necessarily. Depending on the use case, it can be an internal assistant, a process-adjacent workflow, or a combination of assistance and automation.

How large should the first scope be?

As small as possible to become productive quickly — but large enough for real operational value to become visible.

What happens after the first case?

If the first case works, we expand into additional processes, integrations, or teams. We define a controlled expansion path instead of turning it into an open-ended large project.

Next step

If a first implementation case feels right, we can clarify scope and entry point in the intro call.

In a no-obligation conversation, we discuss which assistant or workflow case has the strongest operational relevance — and whether a direct start makes sense or whether an AI Opportunity Sprint should create clarity first.

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