AI & PROCESS AUTOMATION

Less routine.
More room for what matters.

Handle enquiries faster. Compare offers on a sound basis. Make company knowledge accessible. We connect AI to your workflows and guide implementation through to handover.

  • Industry
  • Technical trade
  • B2B services
Illustrative example
  1. 01

    Enquiry received

    120 units, delivery in week 12.

  2. 02

    Information structured

    Quantity and date identified. Item details missing.

  3. 03

    Follow-up drafted

    Your team reviews the draft and approves sending.

    Human approval
01 / AI & automation

Where AI helps with everyday work.

Three familiar tasks. A traceable workflow. These examples show possible features using fictitious data.

Prepare enquiries and quotations

Incoming emails and attachments are structured into customer, product, quantity, timing and missing information. The output is a reviewable draft for clarification or internal quotation preparation.

Approval & control

Prices, delivery commitments and sending remain subject to defined approvals. Missing information is made visible.

How we measure value

Time per enquiry; completeness rate; rework.

Illustrative example
Quantity
120 units
Requested delivery
Week 12
Item
Details missing

Prepared response draft

Thank you for your enquiry. To assess pricing and delivery, we still need the item number or a drawing.
Human approval
Also for recurring reports

Prepare reporting and exception reviews

Agreed data from existing systems is combined for recurring reports. Exceptions are shown with their supporting data for expert assessment.

Metric definitions and data quality are clarified first. Approvals and the origin of values remain traceable.

How we measure value: Preparation effort; data freshness; time to address an exception.

02 / BLACK DARTER®

Make existing data work in a practical process.

01

Data Capture

Clarify relevant sources and access, such as ERP, CRM, documents or production data. Start with the information the selected process actually needs.

02

Data Structure

Align fields, terminology and ownership. Duplicates, gaps and conflicting definitions are surfaced and handled using agreed rules.

03

Data Intelligence

Analyse, classify or use information to draft responses for the specific use case. Quality is assessed against representative test cases.

04

Data Action

Bring results into the workflow with approvals, logging, exception handling and a clear handover to your team.

03 / AI & automation

Start with a clearly defined scope.

01

AI opportunity assessment

€3,500

Up to 3 processes and 3 interviews. Prioritised use cases, business case and decision brief. Indicative timing: 10 working days after receiving inputs.

Discuss your opportunity
02

Pilot project

from €9,500

1 process, up to 2 standard integrations and 10 pilot users. Test plan, approvals and handover. Indicative timing: 4–6 weeks after technical review.

Discuss your opportunity
03

Operational support

from €950 / month

1 workflow and 4 support hours per month. Reviews, adjustments and user support. Term and response times as agreed in the proposal.

Discuss your opportunity

For businesses only. All prices exclude applicable VAT. Licences, API usage and additional integrations are separate. Indicative service description; binding scope follows assessment and an individual proposal.

What the proposal specifies

A standard integration uses an existing, documented interface with sufficient permissions and test access. Suitability is checked before the proposal. Custom interface development, data migration and additional systems are priced separately.

What an AI opportunity assessment delivers

Sample structure, not a client reference: process brief with current effort, data and interface assessment, benefit calculation with assumptions, and a prioritised pilot recommendation with effort and acceptance criteria.

Decision guide

Which solution fits the task?

Choose the tool after understanding the process. Compare value, the consequences of errors and ongoing effort for each task.

Fixed rules and structured data
Consider a direct integration or rules-based automation. Calculations and required fields often do not need a language model.
Text, documents and varied formats
AI can classify content, extract information or prepare drafts. Sources, exceptions and expert review belong in the workflow.
Binding or hard-to-reverse decisions
Pricing approvals, contracts and sensitive exceptions need named decision-makers and suitable controls.
Unclear process or missing data
First clarify responsibilities and the data foundation. Automation cannot make a contradictory process reliable.

The outcome should define what is automated, what remains with people and who operates the solution after handover.

ROI

Potential, quantified.

An estimate based on your assumptions. Capacity value is not guaranteed cash savings. Use time saved after human review and rework. All inputs remain in your browser.

Hours / month—
Capacity value / month—
Capacity value after costs / month—
Payback (months)—

Assumptions and annual view

Calculation: cases × minutes ÷ 60 × realisable share = usable hours. Hours × full hourly cost = capacity value.

Modelled value after running costs / year—
First-year modelled value after investment—

Annual values assume twelve identical months. Modelled capacity value less running costs, and less the one-time investment in year one. This is not a profit or cash-flow promise.

The initial investment is your total budget for the project being assessed. It differs from the starting price of an individual service package. Ramp-up time and utilisation can reduce first-year benefits.

Who is responsible for what?

From the first useful use case to controlled operations. Black Darter® leads process analysis, business case and project management. Our technical implementation partner delivers the solution and integration.

Black Darter®

Your contact for process assessment, the business case and project management. We agree requirements and acceptance with your team.

Technical delivery partner

Handles the agreed architecture, integration and development. Providers, access rights and the operating model are defined before implementation.

Your company

Appoints process owners, supplies approved data and reviews results. Production actions follow the agreed approvals.

The proposal identifies the contracting party, usage rights, acceptance, operation and support. Any direct contract with the technical partner is stated explicitly.

Questions before your first project

Do existing systems need to be replaced?

Not automatically. We first assess whether existing systems can provide the data and workflows needed. A suitable interface may be enough. Integration, data quality and access limitations are documented upfront.

What makes an AI pilot successful?

Agreed test cases and a credible before-and-after comparison. Errors, rework and team adoption matter alongside time savings. Wider rollout makes sense once quality, costs and operational accountability fit together.

Are hours saved immediately cost savings?

No. Released time is initially additional capacity. Cash impact occurs, for example, when overtime, external expense or required resources actually decrease. We therefore distinguish capacity value from realisable financial impact.

How much time will our team need?

We agree contacts, interviews and test dates in advance. The AI opportunity assessment includes up to three interviews. A pilot requires feedback from process specialists and acceptance.

Can AI send offers or orders by itself?

Approval rules are defined explicitly in the project. In the workflow shown here, prices, delivery commitments and binding decisions remain with the responsible people.

How do you handle confidential information?

Before implementation, we clarify required data, access rights, providers and storage locations. Accounts, usage rights, documentation and operating responsibilities are defined in the proposal and at handover.

BLACK DARTER® CONSULTING

Which process takes too much of your time?

Tell us about the task, the systems involved and the outcome you need. Together, we define a useful first step.

Discuss your opportunity