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Start from the question
Bring a transcript, a brief, or a whiteboard. Pinkgarden turns that raw ask into a scoped placement problem.
Frame
Landscape placement for SAP work
Where does this requirement belong: S/4HANA standard, BTP, or elsewhere?
Pinkgarden grounds that call in this client's landscape and policies. Hours to a review-ready proposal, not weeks of discovery.
Enemy: Manual discovery and rework that erode project margins.
Join the waitlist for one free project.
Results
See Pinkgarden in action
From the business question to something experts can challenge. Frame, Ground, Design, Deliver stay as method labels, not the headline.
02
Ground in this landscape
Platforms, capabilities, interfaces, and policies for this client, cited in the thread so design stays tied to evidence.
Ground
03
Design the placement
S/4HANA standard, BTP, or elsewhere. Clean Core is the method that constrains the call, not a brand scream.
Design
04
Hand experts something to challenge
A review-ready proposal first. Jira backlog and implementation spec only after approval.
Deliver
No enterprise-system integration required. Baseline SAP capability docs are already in. Upload client policies and architecture in chat and start in minutes. Works in ChatGPT, Claude, Gemini, and other MCP-compatible clients.
Join the waitlistTHE ENEMY
Manual discovery and rework that erode project margins
A simple client requirement can take weeks to solve properly. The answer may be standard S/4HANA, a capability elsewhere in the estate, a clean extension, or a mix. Reaching it means knowing the requirement, the landscape, the policies, and prior architecture decisions.
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Discovery consumes margin
Consultants search docs, interview specialists, and reconstruct the landscape before design can start.
02
Wrong system gets extended
Teams miss standard SAP, duplicate capabilities elsewhere, or customize the core without need.
03
Every project starts again
Prior decisions stay trapped in decks, spreadsheets, and individual consultants' memories.
Pinkgarden turns that grind into a reviewable landscape placement proposal
Question → grounded proposal → Jira after approval
Same work. Different scale.
Traditional discovery runs in weeks. Pinkgarden runs the same Frame / Ground / Design / Deliver loop in hours, under the glass.
Swipe to see full comparison
Practice Memory keeps verified decisions tenant-safe.
PRACTICE MEMORY
Compound your learnings on this customer
Every validated placement decision writes back into the customer boundary. The next authorized project for the same client starts sharper than the last.
1
Capture validated decisionsRequirements, placement calls, and delivery lessons become structured customer knowledge.
2
Keep knowledge inside the boundaryAvailable only to authorized teams working for the same customer.
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Begin with a proven patternThe next project inherits verified decisions instead of rediscovering them.
TEAM COLLABORATION
Built for one consultant. Ready for the whole delivery team.
Run a project alone, or invite colleagues and client experts onto the same governed workspace. Roles control who can edit, review, or only view. When the design is approved, hand off a Jira-ready backlog. Delivery stays in the tools your build team already uses.
01
One project, shared context
Discovery, systems, use cases, decisions, and policies stay in one place. Everyone invited sees the same source of truth inside the customer boundary.
02
Roles that match the work
Assign permissions per member so seniors can approve, consultants can shape the design, and guests stay in their lane.
03
Invite internal and external
Bring practice teammates and client stakeholders in by invite. Access stays on that project. The handoff after approval is Jira, not living the build inside Pinkgarden.
ICs move fast alone. Teams review and approve together.
Shape the proposal in Pinkgarden → export the backlog to Jira
WHY NOT A GENERIC MODEL ALONE
Pinkgarden vs Copilot, ChatGPT and Claude alone
Strong assistants still guess at landscape placement. Pinkgarden adds the governed layer: this client's systems, Clean Core as method, tenant-safe memory, and a review-ready draft before Jira.
| Pinkgarden | Copilot | ChatGPT alone | Claude alone | |
|---|---|---|---|---|
| Grounded in this client's landscape and Clean Core policy | ✓ | x | ◐ | ◐ |
| Linked citations to policy / architecture on design decisions | ✓ | ◐ | ◐ | ◐ |
| Same-customer project memory (tenant-safe reuse) | ✓ | x | x | x |
| Guardrails against invented non-Clean Core extensions | ✓ | x | x | x |
| Review-ready proposal, then Jira backlog after approval | ✓ | ◐ | ◐ | ◐ |
| Works in the chat your consultants already use | ✓ | ✓ | ✓ | ✓ |
Legend: ✓ yes · ◐ possible · x no
◐ means: possible in a generic chat, but not practical, not scalable, not safe, and not memory-durable.
Pinkgarden is not instead of ChatGPT or Claude. It is the governed layer with them, so practice leads keep the tools their teams already use and get architect-defensible output.
Who it is for
Consultancies first. Enterprise second.
Built for SAP practices that need landscape placement decisions and reviewable designs before Jira. Enterprise architecture teams benefit once the work has already proven itself on a live requirement.
SAP consultancies and systems integrators
For SAP practice leads, S/4HANA program leads, Clean Core leads, enterprise and solution architects, and SAP functional and technical consultants.
- Take the messy middle from workshop to reviewable design
- Protect fixed-fee margins
- Scale senior SAP expertise
- Apply Clean Core as a design method
- Accelerate proposals and client workshops
- Build reusable customer knowledge
Enterprise architecture and transformation teams
For enterprise architects, IT Business Partners, SAP platform owners and process transformation leads.
- Reduce unnecessary SAP customization
- Reuse capabilities across the landscape
- Preserve transformation knowledge
- Make decisions traceable
- Retain a living record after consultants leave
Model choice and trust
Use PinkGarden in the AI environment your firm and clients approve
Consultants work inside ChatGPT, Claude or another supported environment while PinkGarden provides governed SAP capability knowledge, client policies, project context and traceable evidence.
ChatGPTClaudeGeminiDeepSeekKimiOpen-source modelsProprietary modelsMCP-compatible clients
Trace every recommendation back to the underlying sources and policy evidence.
Partners, architects and project owners validate what becomes part of the approved delivery package.
Project memory is limited to authorized work completed for the same customer.
Start in minutes by uploading context directly in chat instead of wiring PinkGarden into SAP or other enterprise systems.
WAITLIST
Join the waitlist for one free project
Ask where a requirement belongs. Pinkgarden drafts a review-ready, landscape-grounded proposal your experts can challenge. When approved, export a Jira-ready backlog in ChatGPT, Claude, or any MCP-compatible client.
Join the waitlist →How it works
Join the waitlistSign up for one free project. We cherry-pick who gets access from the list.
We email you a linkWhen your account is live, you get an email so you can add the Pinkgarden MCP in ChatGPT, Claude, or any MCP-compatible client.
One free projectBring one real SAP requirement and run it with Pinkgarden. Next projects are paid.
How to get started?
That's it. You're ready to start solving.
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Join the waitlist for one free project
Add Pinkgarden MCP to your AI app
Your AI app is the host. Cloud or open-source models work. Compatible tools → Guide
Waitlist
Join the waitlist for one free project
We'll email you when your account is live so you can add the Pinkgarden MCP in ChatGPT, Claude, or any MCP-compatible client.
Simple path in
1
Join the waitlistTell us who you are and what SAP requirement you would bring. One free project is included.
2
Get your link by emailWhen we create your account from HubSpot, we email you so you can add the Pinkgarden MCP in ChatGPT, Claude, or any MCP-compatible client.
One free project
MCP in ChatGPT, Claude, or any compatible client
Email when your account is live
Next projects paid