Enterprise AI Adoption Consultant — Anthropic

Open Reply is the Reply Group company specialised in Enterprise Open Source and AI-powered software engineering. We design, build and modernise mission-critical applications for large enterprises, combining deep full-stack expertise with the most advanced AI and open-source technologies on the market.
Our dedicated Competence Centers cover the entire software value chain:
Strategy, UX & Design, Web Frontend Development, Portals & DXP, Enterprise Architecture, Open Source Modernization, and an AI-Driven Applications practice powered by our Anthropic Competence Center.
Our Exclusive Partnership with Anthropic
Reply and Anthropic have signed a global strategic partnership, and Open Reply is the reference company within the Reply Group for the enterprise adoption and implementation of solutions powered by Anthropic’s AI technologies.
We embed the full Anthropic stack — Claude models (Sonnet, Opus), Claude for Enterprise, Claude Code, Claude Cowork, the Agent SDK, MCP integrations and Skills — across the full software and business lifecycle: from requirements and prototyping through development, modernisation and run.
This partnership is delivered through four dedicated lines of offering:

Enterprise Adoption — Claude for Enterprise, Claude Cowork for knowledge workers, Claude Code for engineering teams — with AI literacy programmes and end-to-end change management.
SDLC Transformation — Claude Code to reshape developer productivity end-to-end.
Application Modernization — AI-assisted refactoring, legacy migration and re-platforming on modern open-source stacks, accelerated by Claude Code.
Agentic Platform Delivery — Custom agentic solutions, autonomous workflows and computer-use agents built on the Agent SDK and MCP.

We are looking for an Enterprise AI Adoption Consultant who sits at the intersection of organisational change, AI strategy and Anthropic technology. You will work hand-in-hand with C-level stakeholders at large enterprises to design and orchestrate their journey toward an AI-native operating model — making Claude a measurable productivity multiplier across business functions. Your edge is not just knowing how to deploy AI tools: it is knowing how to make organisations embrace them.
What You’ll Do

Lead enterprise AI adoption assessments and design tailored Claude rollout strategies for clients — covering Claude for Enterprise, Claude Code for engineering teams, Claude Cowork for knowledge workers, Skills and MCP integrations and all the upcoming Anthropic solutions.
Translate business goals into concrete, prioritised use cases across the Anthropic stack; define the adoption roadmap from pilot to scaled deployment.
Build the business case, ROI model and KPI framework for each adoption programme, with clear metrics tied to productivity, quality and time-to-value.
Design and run AI literacy and enablement programmes: from executive briefings and function-specific training to self-service adoption kits and champion networks.
Lead AI-specific change management work streams — addressing resistance, redesigning workflows, and embedding new human–AI collaboration models into the organisation.
Track adoption health using quantitative indicators (active users, task deflection, throughput, satisfaction) and continuously iterate the enablement approach.
Partner with Anthropic teams and Open Reply engineering on go-to-market motions, reference accounts and thought leadership.

Who You Are

5+ years in management consulting, digital transformation or enterprise software advisory — with a track record of driving adoption of complex platforms ven experience leading AI adoption or AI transformation programmes in large organisations (Banking, Telco, Insurance, Industry)
Hands‑on familiarity with Generative AI and Agentic AI in enterprise contexts: use case identification, prompt governance, responsible AI, measuring AI impact. Knowledge of Anthropic’s Claude ecosystem is a strong plus.
Deep understanding of the human and organisational side of AI adoption: resistance patterns, capability gaps, workflow redesign, AI literacy development and champion‑network models.
Ability to define and track adoption KPIs, from usage…