---
title: "Guide: Cost & Effort"
description: "Estimate integration effort realistically and scale in phases"
canonical_url: "https://meingpt.com/en/docs/integrations/guide-cost-effort"
language: en
---

# Guide: Cost & Effort

## Why this guide?

Not every integration has the same effort profile. In practice, these factors usually drive complexity:

- very large data estates (e.g. large SharePoint landscapes)
- complex ERP structures (e.g. SAP with very high table counts)
- strict on-prem/security constraints

## Effort matrix (S / M / L)

| Class | Typical approach | Time-to-value | Main drivers |
|---|---|---|---|
| `S` | native connector, small scope | very fast | low complexity |
| `M` | export + targeted custom integrations | medium | preparation and scope definition |
| `L` | custom MCP + large data + strict security | higher | architecture, governance, operations |

## Where effort usually increases

### 1) Large SharePoint estates

When many sites/files must be connected, effort grows in:

- scope definition (what to onboard first)
- data quality cleanup (duplicates, outdated content, noise)
- retrieval strategy (avoid treating everything equally too early)

### 2) SAP / large ERP landscapes

With very high table counts, full live integration is rarely a good starting point.

Pragmatic path:

1. choose use-case-driven table subsets
2. start with a small table scope
3. expand only when value is proven

## Effort levers (what actually helps)

- **keep scope small**: start with 1-2 high-value use cases
- **read-only first**: add write depth later
- **export-first if uncertain**: validate quickly before deep build
- **assign owners clearly**: business + IT + integration owner

## Recommended phases

1. `Pilot`: one use case, one data scope, fast validation
2. `Stabilization`: permissions, monitoring, data quality
3. `Scale`: additional scopes/systems, deeper integrations

## Quick estimation (5 questions)

If 3+ answers are **yes**, you are likely in `M/L`:

- strict on-prem/security requirements?
- very large data volumes?
- no native connector available?
- write actions required in target systems?
- inconsistent data quality today?