Inputs captured once. Delivery artifacts produced across the lifecycle.Deployed inside your Azure tenant

AI that accelerates SAP delivery.

SAP projects drown in manual work: weeks drafting specs from transcripts, hand-scripting tests, cleansing data, creating mockups. ZyptAI turns workshop transcripts, documents, and data extracts into production-ready specs, test automation (no scripting), Fiori mockups, training videos, and data migration plans—all grounded in your project context.

Contact usFor more information and to book a demo
Test Automation
Generate executable tests from requirements. No scripting. AI figures out the scenarios, builds the tests, runs them, flags coverage gaps.
Data Migration
Cleanse, transform, and reconcile data automatically. Built-in validation. Business users own the findings, not SQL experts.
One Project Model
Word specs, Fiori mockups, PowerPoint decks, training videos, Excel reconciliation—all come from the same project context. Everything stays in sync.
ZyptAI / Project Memory
Querying project memory
Ask ZyptAI
Artifacts from this thread
TEST
12 test cases
XLSX
Coverage matrix
DOCX
Test spec
VIDEO
Test evidence
Every output cited to source · Runs inside your Azure tenant
What Gets Generated

From raw project inputs to production-ready artifacts.

Feed ZyptAI your project inputs—workshop transcripts, documents, decisions, data extracts. AI generates everything your team needs: Word specifications, test automation (executable, no scripting), Fiori mockups, PowerPoint steering decks, training videos, data migration and reconciliation plans. All linked back to source. All grounded in one project model.

Inputs →
Decisions and requirements
From workshops, approved specs, and design documents — every decision recorded with who decided, when, and what changed it
Design and build artifacts
Configurations, code, screens, interfaces, data models — the actual implementation as it exists in the tools
Test execution and evidence
Test plans, execution results, defects, and test evidence proving (or failing to prove) business behavior
Project state systems
Cloud ALM, Jira, Teams, RAID logs, cutover plans — all connected so dependencies flow across workstreams
Program governance records
Change logs, approvals, sign-offs, steering updates, and program health metrics
Enterprise AI reasoning
Semantic understanding of requirement-design-test relationships without hallucination or unsafe inference
ZyptAI
Searchable, cited, and continuously connected so delivery context stops disappearing into meetings, inboxes, and disconnected files.
→ Outputs
Functional specifications
Word documents drafted from workshop transcripts and decisions. Scoped, process flows, exceptions, rules, interfaces. Cited back to source.
Test automation
Executable test cases generated from requirements. Happy path, boundary conditions, error handling, security scenarios. No scripting required. Ready to run.
Fiori mockups and prototypes
UI screens and interactions generated from process flows and business rules. Editable. Shows users what they're building.
Data migration and reconciliation
Legacy data cleansed, transformed, mapped. Reconciliation rules applied. Validation built in. Business users own findings, not SQL.
Training videos and documentation
Training scripts and videos generated from passed test runs. Process documentation from business flows. Updated automatically when config changes.
Steering decks and reports
PowerPoint summaries of program status, risk, readiness, and progress. Built from project data, not hand-crafted.
Built for SAP Delivery

By people who actually run implementations.

ZyptAI was built by folks with decades of SAP delivery experience. It knows what artifacts matter. It knows what work gets done by hand and where AI can accelerate it. It's shaped around the real lifecycle of an implementation, not a generic AI chatbot bolted onto your project.

Tim Barrow

Tim Barrow

Founder · SAP Program Delivery

Decades leading SAP implementations and large-scale program delivery across enterprise transformation work.

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MJ

MJ Patterson

Founder · ERP Transformations

ERP implementations and business transformations across large technology-enabled change programs.

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ZT

ZyptAI Engineering Team

Product Engineering

Dedicated engineering focused on Azure-native tooling for SAP delivery workflows, automation, and project-memory infrastructure.

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How It Works

Project memory that generates delivery.

Capture all your project inputs—workshop transcripts, documents, decisions, data—into one linked model. AI uses that model to generate production-ready artifacts at every stage: specs when you need them, tests without scripting, mockups, training, data migration plans. Everything grounded in the same project truth.

AI Acceleration

Weeks of work in hours

Specs drafted from transcripts. Tests generated and executed without scripting. Fiori mockups created. Data cleansed and validated. Training videos built from test runs. All the work your team usually does manually—done by AI grounded in your project context.

One Project Model

Every artifact stays in sync

Word specs, test cases, Fiori screens, data migration plans, training videos—all come from the same project memory. When a requirement changes, everything that depends on it is automatically identified. No more misalignment between design, tests, and training.

Your Azure Boundary

All project context stays inside your tenant

Hosted in your Azure environment. Your data. Your control. Azure OpenAI integration. RBAC and audit trails intact. No data leaking to third parties.

Enterprise Trust

Runs where your SAP project already lives.

ZyptAI is Azure-native from the first screen instead of treating security like a footnote after the demo. The delivery team keeps their data, identity model, and governance boundary intact.

Hosted inside your Azure tenant
Azure OpenAI with enterprise privacy controls
Azure AD and RBAC alignment
No per-user Copilot license required
Audit-ready project memory and delivery history
Deployment Topology
SharePoint
AI Search
Azure OpenAI
Customer Azure Tenant Boundary
Projects
Testing
Decks
See it in action

Watch AI turn a workshop into a spec, test pack, and training video.

If you're a small/medium SAP consulting firm, ZyptAI becomes your competitive differentiator: show up to proposals with delivery that's 2-3x faster than you used to. If you're an enterprise, you move faster with less rework because everything flows from one consistent project model.

Test automation with no scripting
Data migration with built-in validation
Specs, Fiori, training, and steering from one project model
Runs inside your Azure tenant with Azure OpenAI
What happens next
01A conversation about your program structure and pain points
02A walkthrough of how ZyptAI would see your specific delivery model
03A deployment and integration plan tailored to your tools and Azure setup