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

Turn SAP project inputs into delivery-ready artifacts.

Name: ZyptAI
Brand: ZyptAI

ZyptAI captures meetings, documents, plans, and decisions into one project memory layer, then produces cited BRDs, test cases, Fiori mockups, Gantt plans, and steering output inside your Azure tenant.

Contact usFor more information and to book a demo

Project memory

SharePoint, transcripts, RAID, and decisions become one cited operating layer

Delivery outputs

BRDs, test packs, mockups, Gantt plans, and decks come from the same context

Azure tenant

Security, identity, and governance stay inside the customer boundary

ZyptAI / Project Memory

Querying project memory

Ask ZyptAI

Artifacts from this thread—

DOCX

FSD update

TEST

3 test cases

PLAN

Action items

PPTX

Steering note

Every output cited to source · Runs inside your Azure tenant

01Platform Story

One platform. Multiple delivery surfaces.

One delivery thread can become requirements, screens, test assets, diagrams, and executive updates. Every output stays cited back to the programme context that justified it. The shared control layer keeps identity, governance, and audit aligned across every surface.

Inputs →

IN-01

Project documents

BRDs, BPDs, functional specifications, strategy packs, and delivery records grounded in programme context

IN-02

Meeting transcripts

workshops, decisions, actions, and follow-ups captured once and kept searchable

IN-03

Connected delivery data

Jira, ServiceNow, and adjacent systems brought into the same cited operating view

IN-04

Planning and control records

Gantt plans, RAID logs, change requests, requirements, and resource records kept in working context

IN-05

Enterprise AI reasoning

latest ChatGPT-class models applied to grounded project context instead of open-ended prompts

ZyptAI

Searchable, cited, and continuously connected so delivery context stops disappearing into meetings, inboxes, and disconnected files.

→ Outputs

OUT-01

BRDs and specification packs

structured Word deliverables drafted from cited source material and delivery context

OUT-02

Test cases and validation assets

test-ready output linked back to requirements, process intent, and project decisions

OUT-03

Fiori screens and solution concepts

working business-facing screens shaped from the same grounded implementation thread

OUT-04

Process diagrams and steering decks

process maps, charts, and storyline-ready views generated from live programme evidence

OUT-05

Proactive project updates

scheduled routines that surface blockers, drift, and next actions before teams ask for them

02Why Trust It

Built with SAP delivery experience behind it.

ZyptAI is being shaped around the practical work of implementations: cited outputs, enterprise review, and the artifacts delivery teams already owe the programme every week.

Tim Barrow

Founder · SAP Programme Delivery

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

View LinkedIn ↗

MJ Patterson

Founder · ERP Transformations

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

View LinkedIn ↗

ZyptAI Engineering Team

Product Engineering

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

View LinkedIn ↗

03How It Operates

More than product pages. One operating layer for the programme.

After ZyptAI turns project inputs into delivery outputs, the same operating layer keeps the programme moving with automation, connected systems, and cross-lifecycle governance.

01Automation

Morning briefs, blocker sweeps, and cutover checks assembled automatically

The platform can compile the operational view teams usually create by hand: upcoming blockers, open risks, action items, readiness gaps, and phase-level status before the stand-up begins.

02Connected Systems

Built around the SAP implementation toolset

MCP connectors act as inputs to project memory, not decorative integrations. SAP Cloud ALM, Jira, Azure DevOps, ServiceNow, and adjacent systems can feed the same cited operating context.

03Governance

Traceability and drift detection across the lifecycle

Requirements, specs, plans, RAID items, changes, and test evidence can be cross-checked so the project can answer what changed, what is uncovered, and why a decision was made.

04Enterprise 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.

01Hosted inside your Azure tenant

02Azure OpenAI with enterprise privacy controls

03Azure AD and RBAC alignment

04No per-user Copilot license required

05Audit-ready project memory and delivery history

Deployment Topology

SharePoint

AI Search

Azure OpenAI

Customer Azure Tenant Boundary

Projects

Testing

Decks

05See it in action

Watch one SAP workshop turn into five project artifacts.

Share the basics and we'll show you how ZyptAI can turn workshops, documents, and decisions into delivery-ready SAP artifacts inside your Azure boundary.

01SAP implementation and upgrade teams

02Azure-native deployment model

03Project memory with Word, Test, ALM, Meetings, and Assistant surfaces

04Security and governance alignment from day one