In Review
58Under consideration
Value Stream Analysis Bot
CodeGenie v1.5.0
Code Quality Insights Best Practices Insights Observability Integtation Integration with SAP Cloud ALM
GenAI driven analysis for Clean Core, ECC to S/4 Public Cloud move, Cloud infra insights
Housekeeping Automation Bot
KTern.AI Intelligent Assistant (KIA) v1.0.0
GenAI driven S4HANA Public Cloud process adaptation wizards
GenAI driven cutover orchestrator with go-live simulator
GenAI embedded consultant co-pilot to capture wisdom
GenAI driven UI captures for Fiori dynamic attributes
GenAI embedded automation bots for each workitem
In Progress
8Actively being built
Fit Gap Analysis
Fit Gap Analysis across different systems
Project Planning Board v3.0.0
Enhanced UI/UX and new features
Testcase Generation Agent - The Gap Between "Built" and "Proven" - Closed in Minutes
Problem: Test case/script prep is manual, slow, inconsistent, and expert-dependent. Solution: Generates structured, consultant-ready test cases and scripts directly from FRS, SDD, or SAP source code - covering standard transactions and custom WRICEF alike. Does: From FRS: Generates test cases and scripts for custom WRICEF objects. From SDD: Generates Create, Change, and Display scripts for standard SAP transactions. From Code: Produces best-effort scripts directly from ABAP source - for brownfield/legacy systems with no FRS. Across all sources: Covers positive and negative scenarios; applies data-volume checks for Interface and Form objects.
Golden Templates for Organizations
Golden Templates creation for organization
Capacity Planning Application - Right Consultant, Right Project, Right Time.
Problem: No one has a real-time view of who's free or overloaded β so bottlenecks and burnout get caught late, not early. Solution: Delivers a real-time, structured view of consultant availability and allocation across every active project. Does: Real-Time Tracking: Monitors consultant allocation and availability across all active projects. Risk Flagging: Surfaces overallocation and underutilization before they impact delivery.
Meeting Agent - The Meeting Ends. The Minutes Are Already Done.
Problem: Meeting outcomes are captured manually, if at all - resulting in lost context, missed follow-ups, and disputes over what was actually agreed. Solution: Listens to or reads meeting transcripts and automatically generates structured minutes, action items, and a decision log - in real time. Does: Capture: Processes meeting audio or transcripts as they happen. Extraction: Identifies action items automatically. Decision Logging: Records key decisions in a searchable, auditable log.
Project Intelligence Agent - Every Stakeholder's Own Project Analyst
Problem: Project status is scattered across trackers, tickets, and spreadsheets - a simple question demands a manual report and a wait. Solution: Transforms live project data into a conversational interface - stakeholders ask in plain language, and receive an accurate answer instantly. Does: Connectivity: Draws directly from trackers, test management, and Planner data in real time. Conversational Query: Answers natural-language questions on status, risk, and progress. On-Demand Reporting: Generates instant summaries for any stakeholder, any time. Report Refresh: Accepts an existing report upload and regenerates it in the same format, populated with current data β no manual re-creation needed.
DocuChecker - Catch It Before the Client Does
Problem: Document review is manual, inconsistent, and reviewer-dependent β quality varies by who's checking. Solution: Reviews project documents against a defined quality and completeness standard, flagging issues before they leave the team. Does: Structure check: Flags missing sections, template deviations, and incomplete content. Traceability: Logs every issue and fix in one record - replacing verbal, untracked workarounds. Across all documents: Applies the same standard whether it's SDDs, FRS, SOPs, Configuration documents, User manuals.
Completed
5Recently shipped
Project Planning Board v2.2.0
Sub project expansion with Authorization
KTern.AI - Android App v1.0.0
Mobile Application release in Google Play Store
Translator Agent - English In, Arabic Out - Same Document, Same Structure.
Problem: Localizing user manuals and project documentation into Arabic is manual, slow, and dependent on external translators - delaying rollout in Arabic-speaking markets and driving up cost per document. Solution: Converts English documents - user manuals, FRS, SOPs, any structured document - into Arabic, preserving original formatting and structure. Does: Document Intake: Accepts user manuals and other structured documents in English. Translation: Converts content into Arabic while preserving structure and formatting. Format Fidelity: Retains the original document layout β no manual reformatting after translation.
WRICEF Development Agent (Codegenie: CDS to OData Skill) - From Field Mapping to Functioning Service
Problem: CDS view and OData service development is manual, ABAP-expertise-dependent, and inconsistent in quality across developments. Solution: Codegenie interprets reference documentation - Excel field mappings, Word/PDF FRS - and natural-language prompts to generate SAP CDS views, exposed as OData V2 services, refined through further conversational instructions. Does: Requirement Intake: Interprets Excel field mappings, Word/PDF FRS documents, and natural-language prompts as source input. CDS Generation: Produces SAP CDS views with correct joins, filters, and business logic. OData Exposure: Exposes generated CDS views as OData V2 service endpoints. Conversational Refinement: Applies follow-up instructions - join corrections, filter changes - without manual rework.
FRS Agent - From Requirement Discussion to Draft FRS - Instantly
Problem: FRS authoring consumes days of consultant effort, translating workshop discussions into a structured, client-ready document. Solution: Transforms raw requirement inputs into a polished, standardized FRS draft - engineered for refinement, not a blank page. Does: Intake: Workshop notes, SDDs, and meeting transcripts. Structuring: Translates raw input into KTern's standardized FRS framework. Gap Detection: Surfaces ambiguous or incomplete requirements before drafting proceeds. Output: Delivers a consultant-ready first draft, primed for validation and sign-off.