For Project Developers & Engineering Offices

Process Automation & Company Memory for Wind and Solar Projects

A repowering or solar-park project generates mountains of documents: expert reports, BImSchG permit binders, approval notices, land-lease and grid contracts, agency correspondence. That knowledge sits scattered across the DMS, mailboxes, and the heads of individual staff — and it walks out the door when people leave. We turn it into a searchable, permanent company memory and automate the document-heavy workflows. It costs about as much as the search for the missing specialist — but solves the problem permanently, independent of the labour market.

The math (provider benchmark, our own reference environment): A specialist realistically reviews ~50 documents per day. In a reference environment our system processes around 20,000 documents in about 2 hours — classification, extraction, tagging and flagging of notable passages. The professional sign-off on compliance-critical documents stays with a human; the system does the groundwork, not the legal responsibility.

What the system takes off your plate

🧠

Persistent company memory

Every file, notice and contract becomes searchable and stays retrievable — even after the person who handled it is long gone.

⚡

Data on demand

"Which setback rule applied in the permit for project X?" — an instant answer with a source reference to the original document, instead of hours of folder-digging.

🗂

Extends your DMS

Builds on your existing document management, doesn't replace it. Automatic classification and extraction of deadlines, conditions and contract data.

🌙

Overnight processing

Large document sets are processed in batch overnight — by morning everything is indexed, checked and pre-sorted for sign-off.

🎛

Decision-maker hub

A central dashboard for management: status, open deadlines, flagged items and the sign-off queue at a glance — control instead of a black box.

📚

Wiki replacement, zero upkeep

Replaces the perpetually outdated company wiki: knowledge is pulled straight from the source documents — relevant for ISO 9001 documentation duties, without manual maintenance.

📊

Controlling & MVPs

From the captured project, time and contract data, real controlling emerges retroactively — which projects, clients and services are your "most valuable players" (and which are quiet loss-makers).

🎯

Inquiry classifier

Incoming inquiries are automatically sorted into your sales matrix and prioritised — which to handle first, which don't fit at all. Triage without your own inside-sales team.

Why it fits wind and solar projects specifically

Permitting is the most document-intensive part of the industry: a BImSchG application quickly runs to several thousand pages of reports, plans and evidence. That is exactly where the bottleneck forms — not in professional skill, but in the sheer volume of paperwork to review. Typical use cases:

Permit files — automatically extract and monitor conditions, ancillary provisions and deadlines from approval notices.
Expert-report archives — tag acoustic, shadow-flicker, species-protection and other reports and make them comparable across projects.
Contracts — keep track of lease, grid-connection and PPA contracts with their terms and notice periods.
Portfolio operation — consolidate knowledge about existing turbines before the colleagues who built them retire.

Establish controlling retroactively — surface your MVPs

Many engineering and planning offices have run solidly for years — on gut feeling, without active controlling. The problem shows up late: nobody knows exactly which projects, clients and service types actually make money (the "most valuable players") and which have been quietly subsidised for years. Because our system captures the project, time and contract data anyway, controlling can be set up retroactively — without months of manual data entry.

MVP ranking — most profitable projects, clients and service types made visible; quiet loss-makers identified.
Project margins & contribution — per project, reconstructed from actual data.
Post-calculation (planned vs. actual) — calculated versus hours actually worked.
Utilisation — per employee and team, over time.
All in the decision-maker hub instead of scattered Excel islands.

Note: business management controlling / KPI transparency based on your own data — not tax or legal advice.

Prioritise inquiries — without an inside-sales team

Some offices have the opposite problem: so many inquiries that it's unclear which to handle first. The inquiry classifier automatically sorts every incoming inquiry into your sales matrix — by your own criteria (project size, region, service type, urgency, fit, margin potential). The result is a prioritised queue, without having to build an inside-sales department.

Owner-led offices in particular carry the sales knowledge in the owner's head. The classifier encodes exactly that qualification logic — the expertise is preserved and scales instead of hanging on one person's calendar. The decision on which inquiry to accept stays with you — the system provides the pre-sorting, not the verdict.

Steer and scale — across borders

Company memory, controlling and inquiry classification interlock: they make the service steerable rather than person-dependent — utilisation, inquiry flow and project economics in one place. This standardisation is exactly the precondition for international expansion: a process captured once can be transferred to new locations and markets without quality hanging on individual people.

Who it's for

Project developers running several permit procedures in parallel
Engineering and planning offices producing reports and applications in series
Plant operators with a growing portfolio and documentation/audit duties (ISO 9001)

How it works

Discovery call — we look at your document situation and workflows (free, no obligation).
Pilot — a bounded set of files is ingested; you see the result on your real data.
Setup — integration with your DMS, roles/permissions, decision-maker hub, GDPR-compliant.
Operation — ongoing processing; your data stays under your control.

Data protection & control: Processing is designed for GDPR compliance and your data sovereignty. The system is a tool for groundwork and decision support — professional and legal responsibility for sign-offs stays with your specialists.

Document bottleneck in your project business?

Tell us briefly what your document situation looks like — we'll show you on a pilot with your real data what automation actually delivers. First call is free.

Request a discovery call

FAQ

Does this replace our specialists?

No. It replaces the dull, time-eating groundwork (reviewing, sorting, extracting) and makes knowledge findable. Professional judgement and sign-off on compliance-critical documents stay with your specialists — they are relieved, not replaced.

Do we have to switch our DMS?

No. The system builds on your existing document management and extends it. No rip-and-replace.

Where does the data live?

Processing is designed for GDPR compliance and your data sovereignty. Details are settled during setup to fit your IT.

Where do the throughput figures come from?

The stated figures (~20,000 documents in ~2 hours, ~50 per specialist/day) are our own benchmark from a reference environment, not an external study. Real figures depend on document type, quality and review depth — hence the pilot on your real data.

Is this tax advice?

No. We provide business management KPI transparency (controlling) based on your own data — not tax or legal advice. Your tax advisor remains responsible for the tax assessment.

Does the AI decide which projects we take on?

No. You define the sales matrix; the classifier pre-sorts and prioritises incoming inquiries against it. You make the acceptance decision — the system saves you the manual pre-sorting and an inside-sales team.