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Development services

AI assistants & document automation

Search company documents, extract invoice data and prepare replies with an assistant connected to approved sources.

Who it helpsFor accounting, service and operations teams that repeatedly search documents and explain the information inside them.

Planerix LEG
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Typical projects

Choose the task you need to solve

These are starting points for a project. We agree the users, connections and first release before estimating the work.

An assistant that answers from your documents

Search approved files and business records, answer a defined set of questions and link back to the source. Each person sees only the material they can access.

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Invoice scanning and document extraction

Read agreed fields from scans, PDFs or structured invoices. Classify the document, detect missing information and send uncertain values for review.

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Reply drafts with conversation context

Use the relevant email or customer conversation to prepare a reply and suggest a follow-up task. The responsible person reviews the draft before sending.

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01 / The challenge

Where we start

The answer is somewhere in your documents, but finding it takes time. A generic chatbot cannot see the approved records or explain which source supports its answer.

02 / The result

What you receive

An assistant connected to a defined set of sources, tested on the questions your team actually asks.

Scope & next steps

Your first release

Begin with one document collection and a set of real questions. We define access, extraction fields and answer checks, then build a pilot your team can evaluate.

Discuss

How we check the result

We use your agreed test questions and document sample to check source accuracy, access boundaries, missing information and the path to human review.

A working example

Planerix LEG

Explore the product

The LEG assistant sits beside the document library and accounting workspace. Users ask about available records, follow source links and return to the underlying document to check the answer.

Actual product interfaces, shown with demonstration data or existing public marketing content.

How we work

01

Understand the work

We map users, decisions, existing tools and one priority workflow. Together we define what a useful first release should achieve.

02

Design the first release

We prepare the user journey, interface and system architecture, with a clear scope, dependencies and acceptance criteria.

03

Build and verify

We connect the data, build the product and test real scenarios, permissions and failure cases before release.

04

Launch and improve

We deploy, document and review the result with your team. Monitoring, support and the next improvements are agreed explicitly.

Before we begin

How do you handle uncertain answers and private data?

Access follows the user’s role and approved sources. We test reference links, missing information and human review paths. Sensitive decisions stay with the responsible person; the assistant supports their work.

How do you estimate cost and timing?

We first agree the users, workflow, data sources and acceptance criteria. You then receive a phased scope with dependencies, an estimate and clear deliverables.

What happens after launch?

We agree documentation, hosting, monitoring, support and further development in the project agreement. Your team knows who is responsible for each part.

AI assistants & document automation

Tell us the priority

A few sentences are enough. We will clarify the scope, dependencies and estimate before development starts.