Companies

Conduct

conduct.ai

Conduct uses agentic AI to help IT teams understand, modernise, and operate complex enterprise software.

HQLondon, Not applicable (non-US), United Kingdom
Employees11-50
Funding$13.3M
12 active roles
Profile 6mo agoJobs checked 3h ago
AI / MLAI ApplicationB2B SaaSSeed$10M-$50M

About

Conduct builds an AI operating system for enterprise software that helps IT teams understand, operate, modernise, and change complex systems. It sells to large, operationally complex enterprises, differentiating through agentic AI that develops an in-depth understanding of legacy software such as SAP and enables direct interaction with those systems.

Market

Conduct competes in AI-powered enterprise IT and ERP-transformation software, initially focused on heavily customized SAP environments. It positions itself as an operating layer that connects business processes to the underlying code, configuration, and dependencies, differentiating from narrower code-analysis, modernization, or impact-analysis tools through agentic workflows spanning discovery, documentation, fit-gap analysis, code generation, testing, deployment, and expansion across the wider enterprise stack.

Target Customers

Large, SAP-intensive enterprises—particularly DAX40-scale companies—with heavily customized ERP landscapes and complex transformation or migration programs. Primary users and buyers include enterprise CIO/IT leadership, ERP transformation teams, business stakeholders, functional analysts, developers, and testing engineers.

At a Glance

Problem

Conduct addresses the opacity and operational risk created by decades of customization in enterprise software, especially SAP environments. Critical systems have become so complex that even the teams responsible for them cannot fully understand their code, dependencies, or downstream effects. That slows ordinary change work, blocks AI agents from acting safely, and causes major transformation projects to take years rather than moving at the pace the business requires.

The killer use case is SAP modernization: understanding a heavily customized existing landscape well enough to plan and execute an S/4HANA or SAP Cloud ERP migration. As enterprises face the end of mainstream support for SAP ECC and pressure to make their core systems AI-ready, the economic value is faster transformation, lower change risk, and quicker time-to-value for new capabilities.

Product / Service

Conduct describes itself as an AI operating system for enterprise software. Its agentic AI reads underlying system code, maps dependencies and downstream effects, and continuously captures documentation and institutional knowledge. This gives IT teams a shared understanding of how their systems work instead of leaving critical knowledge with a small number of experts.

The product operates across the software-change lifecycle, supporting business stakeholders, functional analysts, developers, and testing engineers. It can automate fit-gap analysis, produce current system documentation, and generate, test, and deploy code into customized systems; it also integrates with SAP tooling such as Cloud ALM. The stated benefit is to make planning, development, testing, and large-scale transformation faster and more confident, with customer teams reporting acceleration of 30% or more in transformation workstreams and time-to-value for new features.

Market

Conduct competes in the emerging category of AI-powered enterprise IT and software-modernization platforms, initially focused on SAP transformation and increasingly aimed at the broader enterprise stack. Its expansion plan names Salesforce, Oracle, MES, and WMS systems. Adjacent or potential competitors include IBM, ServiceNow, and SAP itself, although SAP is also a strategic partner and investor rather than simply a conventional competitor.

Conduct is clearly beyond the purely pre-product stage: it announced a $60 million Series A co-led by Index Ventures and ICONIQ, with strategic investment from SAP; it reports customers including DHL, Daimler Truck, Heidelberg Materials, and Fraport, plus partnerships with SAP, BCG, and NTT DATA Business Solutions. The available materials do not disclose revenue, so revenue stage cannot be determined, but the customer base, partnerships, funding, and reported productivity gains indicate meaningful commercial traction.

Founders & Leadership

Jan Philipp HaasFounder
Co-Founder & CEO
Philipp HoeferFounder
Co-Founder & CPO
Henry ThompsonFounder
Co-Founder & CTO

Funding History

2024-05
Seed$8.1M (implied)

Undisclosed

2025-09
Seed$12M

Creandum

2026-06
Series A$60M

Index Ventures, ICONIQ

Recent News

2026-06-17funding
Conduct Raises $60 Million Series A Round from Index, ICONIQ, and SAP

Conduct announced a $60 million Series A co-led by Index Ventures and ICONIQ, with strategic investment from SAP and participation from existing investors. The funding will support its AI operating system for understanding, operating, and changing complex enterprise software systems.

2026-05-12partnership
Conduct Named SAP Strategic AI Partner for SAP Cloud ERP Transformation

Conduct announced its recognition as a strategic AI partner for SAP Cloud ERP transformations. Its agentic AI supports activities including fit-gap analysis, system documentation, and generating, testing, and deploying code in customized systems.

2026-05-12partnership
SAP Unveils the Autonomous Enterprise

SAP’s SAP Sapphire announcement identified Conduct among its implementation partnerships for AI-powered cloud ERP migrations. The announcement positioned Conduct as part of SAP’s broader autonomous-enterprise ecosystem.

2026-05-11partnership
NTT DATA Business Solutions and Conduct Announce Global Partnership to Deliver AI-Native SAP Transformation at Scale

The partnership embeds Conduct’s agentic AI platform across NTT DATA Business Solutions’ SAP S/4HANA transformation, application-management, and change-management services across multiple global markets. Conduct’s context engine is intended to provide a complete understanding of SAP estates and accelerate delivery.

2026-05-05partnership
BCG and Conduct Announce Strategic Partnership to Redefine ERP Transformation with AI

BCG and Conduct announced a strategic partnership to accelerate and de-risk ERP projects. The collaboration combines BCG and BCG Platinion’s ERP transformation expertise with Conduct’s AI platform for analyzing customized ERP systems and supporting fit-to-standard decisions.

2026-04-29product
Kenough with local agents

Conduct described giving its AI agent its own computer through an agent sandbox inspired by Ramp’s Inspect. The product-focused post highlights Conduct’s work on more capable, locally operating AI agents.

2025-10-10
The Conduct Mission

Conduct introduced its mission around “Enterprise System Intelligence,” focused on helping enterprises understand how their systems work and enabling those systems to be interpreted and improved. The post marked an early public articulation of the company’s product category and direction.

Active Roles

12
London, UK/Engineering/79d ago
London, UK/HR & Recruiting/80d ago
London, UK/HR & Recruiting/80d ago
London, UK/Finance/80d ago
London, UK/Design/80d ago
London, UK/Sales/80d ago
London, UK/Implementation Engineer/80d ago
London, UK/Engineering/80d ago
London, UK/Marketing/130d ago
London, UK/Engineering/197d ago
London, UK/Engineering/197d ago
London, UK/Other/197d ago

Business Model

Conduct sells access to its software-as-a-service platform through commercial agreements and subscription terms. Its contracts can combine recurring platform or license fees, usage-based consumption fees, professional-service fees, and one-time implementation or workshop charges.

Products

Conduct AI Operating System for Enterprise SoftwareSAP system understanding and documentation, including code, configuration, dependency, and business-process mappingSAP ERP transformation workflows covering discovery, fit-gap/fit-to-standard analysis, Clean Core compliance, and S/4HANA migrationAgentic custom-code modernization and lifecycle automation, including code generation, testing, deployment, and continuous innovation

Customers

Heidelberg MaterialsDaimler TruckFraportDHL

Tech Stack

Agentic AI and AI agentsSource-code, configuration, and dependency ingestionTechnical and semantic software analysisDependency mapping and business-process-to-code modelingAutomated code generation, testing, and deployment workflows

Competitors

smartShift
Nova Intelligence
In-Com Data SMART TS XL
SAP Custom Code Management / Analyze Custom Code

Key Investors

Atomico, Creandum, Leblon Capital, Lucid Capital, Booom, Palantir (angels), Google DeepMind (angels), Workday, SAP