Conduct
AI NativeAI for your SAP customizations, turning technical complexity into business clarity.
AI for your SAP customizations, turning technical complexity into business clarity.
Published Aug 6, 2026
Conduct does not appear to have readily discoverable, high-volume listings on major review platforms in the retrieved searches. This is typical for early-stage enterprise vendors with a small number of large customers but reduces available external validation.
There was limited discussion surfaced in public community sources in the retrieved searches, which may reflect low public awareness or private discussions happening in CIO/architect forums.
The vendor describes supporting a large truck manufacturer with visibility into SAP instances and maintaining up-to-date documentation in the context of ERP modernization following a carve-out.
What’s missing / methodology gaps:
The vendor claims it accelerated migration work by automating understanding and delivering visibility into dependencies for an S/4HANA transformation.
What’s missing:
This ROI claim is presented without an accompanying methodology. Treat such ROI statements as hypotheses to validate through: time-tracking evidence, consulting spend reduction, reduced incident MTTR, or acceleration of transformation milestones.
Get a comprehensive analysis of Conduct including market position, competitive landscape, adoption trends, and peer benchmarks.
Download full report →Need for a mature, broadly reviewed vendor with extensive public documentation
Primary problem is process mining or process conformance rather than code-level customization understanding
Requirement for an ITSM/AIOps platform rather than SAP customization intelligence
Need for fully transparent security artifacts upfront (e.g., SOC 2 Type II reports, pen-test summaries)
Limited operational capacity to support an additional tool in the SAP change toolchain
Vendor materials and job postings reference enterprise customers in manufacturing and industrial sectors. Published outcome statements claim notable reductions in manual analysis time, faster issue resolution through automated dependency analysis, and multi-million-dollar manual-work savings at a large manufacturer.
Critical note: These are vendor-published claims and generally lack disclosed methodology (baseline definitions, time period, or attribution). Treat such claims as directional until validated with customer references or evidence.
Conduct describes itself as an AI-based platform for enterprise IT, with an initial focus on SAP-heavy enterprises. The platform is intended to make complex SAP customizations (code and configuration) more understandable, queryable, and easier to assess for change, with the goals of reducing reliance on external consultants and accelerating ERP transformation activities (for example, S/4HANA migrations) while aiming to lower operational risk.
On its site, Conduct outlines a workflow that ingests SAP code and configuration, maps dependencies, adds business context, and enables users to query the combined artifacts and receive answers grounded in the customer’s system artifacts. The vendor also describes the use of agent-style AI to automate analysis and documentation.