My Conduct.ai review examines its approach to understanding, modernising and operating enterprise systems, starting with SAP.
By Tolu S.6 min readConduct focuses on AI enterprise system modernisation and operations software.
My short take: Conduct has an ambitious proposition: use AI to help teams understand, modernise and run complex enterprise systems, beginning with SAP. The potential value is substantial where institutional knowledge and legacy customisation slow change, but public product and pricing detail remain limited enough that buyers should treat any engagement as a tightly scoped, evidence-heavy pilot.
| Question | Answer |
|---|---|
| What is it? | AI enterprise system modernisation and operations software |
| Best for | large organisations with complex SAP estates, scarce system knowledge and a defined modernisation or operations problem |
| Less suitable for | small businesses, greenfield application teams or buyers looking for a self-serve AI coding assistant |
| Pricing | Sales-led unless stated otherwise below |
| Review access | Public-evidence first look; no authenticated workspace |
| Main buying test | Prove accurate, governed outcomes on representative work |
The product is designed around five buyer jobs:
I would start with whether Conduct can explain a known SAP dependency better than the team's existing documentation.
The first challenge in enterprise modernisation is discovering what the current system actually does. An AI layer can help organise code, configuration, interfaces and process knowledge, but outputs must cite the underlying object and environment.
Conduct positions itself around modernising enterprise systems, starting with SAP. A useful pilot should produce a dependency map, risk register and migration recommendation for a bounded process—not an open-ended transformation narrative.
AI may help investigate incidents and answer system questions. Production advice should distinguish observation from change, enforce environment boundaries and require approval for consequential actions.
Retiring experts and fragmented documentation create material risk. Generated documentation can help, provided it is versioned, reviewed by system owners and refreshed when transports or configuration change.
A category focus can create deeper context than a generic coding assistant. Buyers should confirm supported SAP products, versions, custom languages, integrations and migration targets.
Confident but incomplete system knowledge can turn a modernisation shortcut into an expensive regression.
Pricing evidence was recorded on 20 July 2026. The figures and plan descriptions below are historical research, not a newly verified quote. Confirm current terms with Conduct before budgeting.
Conduct did not present a complete public price list during this review. Expect enterprise scoping based on systems, environments, data volume, integrations, deployment and services. Ask for a paid pilot with fixed deliverables, acceptance criteria, data boundaries and a clear path to export every artefact created.
Conduct is best suited to large organisations with complex SAP estates, scarce system knowledge and a defined modernisation or operations problem.
It is less suitable for small businesses, greenfield application teams or buyers looking for a self-serve AI coding assistant.
For Conduct, my proposed test would use this scenario rather than begin with a production rollout:
Select one SAP business process with known custom code and interfaces. Conduct maps relevant objects, explains dependencies, identifies uncertain areas and proposes a modernisation sequence. Internal experts score completeness and correctness against a hidden reference, then validate that every recommendation links to inspectable evidence.
| Alternative | Consider it when |
|---|---|
| SAP Signavio | Process intelligence and SAP transformation are central |
| WalkMe | User adoption and workflow guidance are the priority |
| LeanIX | Enterprise architecture and application portfolio mapping lead |
| ServiceNow | Operational workflows and enterprise service management dominate |
| Specialist SAP consultancy | Human-led transformation and accountability are required |
Before adding Conduct to a shortlist, I would write down the job, the current alternative and the evidence needed to justify a change. Our guide to a requirements-first approach to choosing AI tools.
For Conduct, I would also count the existing tools, review time and operating work that remain after adoption. Our guide to a framework for reviewing overlapping software costs.
I would use the AI Tool Chooser to organise the shortlist around requirements before a vendor discussion. It does not replace the product-specific, technical or professional validation described for Conduct.
For related operations buying decisions, I would also read our Automata review and Beglaubigt.de review. These are adjacent evaluations, not a claim that every product replaces Conduct.
I would put Conduct on a conditional shortlist for large organisations with complex SAP estates, scarce system knowledge and a defined modernisation or operations problem.
Confident but incomplete system knowledge can turn a modernisation shortcut into an expensive regression.
Conduct positions its AI to help enterprises understand, modernise and operate complex systems, beginning with SAP.
No. The product reviewed here is at conduct.ai.
A complete public price table was not available; enterprise scoping is required.
No. It is a research-based first look using official public evidence. No authenticated workspace or production integration was tested.
No commercial relationship was disclosed for this review, and no rating was assigned.
Operations Lead, AI Search & GEO
Leads operations for AI search visibility and generative engine optimization (GEO) campaigns.
