SaaS platform for SAP transformation

See what your SAP system really does.

Conjola turns your SAP extracts into a map of what your system can do and what you actually use — and you talk to that knowledge base in plain language. No workshops, no live access to your production system.

Software, not workshops — built from real system data, not guesswork.

Application Landscape Custom Code Functional Specs Processes Feature Usage Master Data
with data from your SAP system AI-assisted — the other derivations are deterministic
Why Conjola

Three differentiators, one foundation

Your SAP application landscape, mapped

Feature Map, Feature Insights and custom-code analysis add up to a map of your application landscape: what exists, what is used intensively, what lies idle — and where your Z programs overbuild the standard, grouped by topic instead of listed. Down to company-code level.

Talk to your SAP system

Ask in plain language — Aurola, the AI assistant inside Conjola, answers from the prepared knowledge base, not from raw tables. And Aurola contributes: the conversation turns into proposals for your functional spec that you accept or discard — anchored to that same data.

AI governance for system questions — detached

Questions about the system are answered from your knowledge base and functional specs — not from production. Conjola works exclusively on extracts: no live access, no way back, a scope defined upfront. Where an answer comes from and what it may see is governed — the AI use case that clears security and Basis.

The foundation: your real system data

Feature and transaction usage per company code, the data model and the classification of your custom developments via anchors in the code are derived deterministically from your extracts — traceable, not guessed. That is what the three differentiators rest on.

Every module in detail — Feature Map, custom-code analysis, Feature Insights, knowledge base and functional specs, Process Discovery, Public Cloud Fit, master data quality and MCP access, on a secure, multi-tenant platform. See all modules →

AI development

AI development with a system memory

Conjola has an MCP endpoint. Your coding agent — Claude Code, for example — queries your feature map, your custom developments and your knowledge base directly. It no longer has to search, and it no longer has to guess.

> What is attached to the credit limit check in sales?

conjola · search("credit limit check")

Capability    Order-to-Cash › Credit management
Features      3 — one with custom logic
Z objects     ZSD_CREDIT_CHECK, ZSD_CREDIT_RELEASE
Usage         VKM3 — CC 1000, 2 systems
Spec          “Credit release 2026” (v4)

> Where exactly does ZSD_CREDIT_CHECK check the release limit?

conjola · source_search("release limit", ZSD_CREDIT_CHECK)

2 matches. Source code released by the tenant, access logged.

Fewer tokens, better hits

Instead of reading forty files, the agent asks a question and gets an answer. That is the difference between a context window full of noise and one that hits the point — and it shows up directly in runtime and cost.

Context as current as the system

The agent reads the state of your latest extract — feature map, custom developments, data model, functional specs — instead of documentation from three years ago. Writing back what it got done is the next step on the roadmap.

On your terms

The token carries its tenant and landscape fixed and grants read access only. Whether your custom code may leave the platform is the tenant's decision — not the individual developer's.

Standard MCP — with a setup guide for Claude Code; other MCP-capable clients such as Codex CLI or GitHub Copilot connect the same way. How the MCP access works →

When it helps

When is Conjola useful?

Whenever decisions about your SAP landscape are due and you need facts instead of assumptions.

Before an S/4HANA or Public Cloud migration

Before you migrate, Conjola shows the real as-is state: which functions are actually used — down to company-code level — and what your custom developments do in business terms.

With custom-code sprawl

Hundreds of Z-programs whose purpose is barely documented anymore? The AI analysis describes each custom development, groups them by topic and shows where they overlap functionally.

For system documentation without workshops

Instead of weeks of interviews, the documentation comes from the system itself: feature map, usage and custom developments from the extracts — and functional specs written with the AI assistant right alongside.

For fact-based consulting

Consultants get a solid, per-client factual basis, multi-tenant — for proposals, assessments and roadmaps as equals.

For acquisitions and template rollouts

An acquired system is to move onto the group template? Conjola prepares both systems the same way and puts them side by side — so you see what the template already covers and what the new business needs on top.

How to get a demo

From extract to results on the next business day

Want to see what Conjola can do for you? First we show you the platform, then your own system in it. Once the extracts are in, your results are ready on the next business day.

01

First call & demo

In a demo session we present the platform and its automated analyses — compact, in a short time.

02

Import ABAP transports

You import our ABAP transports into your system. They contain ready-made extraction reports — read-only, without changing your business data.

03

Run reports & upload extracts

With the supplied reports you create the extracts yourself at short notice and upload them. No system access for us, no database coupling.

04

Results on the next business day

On the next business day after upload, your feature map, usage per company code and the analysis of your custom developments are ready.

You get full access to the platform after signing the contract.

Book a demo

Ready to understand your SAP landscape?

In a short demo we'll show you how Conjola turns your system data into a basis for decisions.

Book a demo