End-to-end deployment program — from audit to agent in production. 16 standardized modules, LOOP™ methodology, TMA included. First agent live in 6 to 12 weeks.
Moove to Claude is for teams committed to industrializing AI — with a proven method, end-to-end support and governance from day one.
Moove to Claude is a complete program — not a POC. Each phase produces a concrete deliverable and brings you closer to a real production agent.
Complete radiography of your stack, data flows and existing integrations.
Selection of maximum-impact use cases, effort/value prioritization, AI roadmap.
Deployment of AI agents in production with Koneetiv's 16 standardized modules.
Training of technical and business teams on usage, maintenance and evolution of agents.
Evolutionary maintenance, agent monitoring, LOOP™ governance and activation of new modules.
We map your technical environment: available APIs, data quality, security constraints, critical dependencies. The deliverable is an actionable architecture report — not just another audit.
Comprehensive view of your technical environment, APIs, connectors and dependencies.
Quality, accessibility and compliance of data available for agents.
Identification of constraints and attack surfaces to secure before deployment.
Mapping of existing connectors and APIs to develop or adapt.
Assessment of regulatory constraints and sector-specific security requirements.
Summary of priority actions and validated technical roadmap.
We work with your business teams to identify high-ROI AI use cases. Each use case is evaluated across 4 criteria: business impact, technical feasibility, implementation timeline, regulatory risk.
Working sessions with your teams to identify and document AI opportunities.
Evaluation of each use case by implementation effort and value generated.
Ranking opportunities by estimated return on investment and implementation timeline.
Sequenced deployment plan with milestones, resources and expected KPIs.
Assessment of AI Act and GDPR impacts on priority use cases.
Presentation of recommendations and alignment with general management.
Our 16 agent modules cover the most common enterprise use cases. Each module is pre-tested, documented and deployable in 2 weeks. We deliver the first agent in production before week 6.
Design of the agent's technical architecture with Anthropic recommended patterns.
Implementation of agent modules with Koneetiv's 16 standardized building blocks.
Connection of the agent to existing systems: CRM, ERP, databases, internal APIs.
Functional and performance validation before go live.
Implementation of security mechanisms, logs and agent auditability.
Maintenance guides, runbook and user documentation.
Your teams must be autonomous on deployed agents. We train developers on architecture, business teams on prompts, and managers on KPIs to track.
Developer training on Claude architecture, MCP tools and best practices.
Hands-on workshops for end users on optimal use of deployed agents.
Complete maintenance, evolution and troubleshooting guide for your internal teams.
Skills validation with recognized Koneetiv certification.
Post-training coaching sessions to embed best practices.
Skills validation tests and identification of remaining gaps.
Koneetiv TMA includes real-time monitoring, model updates, prompt optimization and new module activation. Every agent is covered by LOOP™ governance.
Continuous surveillance of production agents with alerts and weekly reports.
Keeping Anthropic models up to date and adapting agents to new capabilities.
Continuous improvement of prompts, workflows and measured performance.
Continuous application of the governance framework with traceability and audit trail.
Priority access to the Koneetiv team for any incident or question.
Development of new features and adaptation to new Anthropic models.
Koneetiv steers and coordinates a network of selected partners chosen for their technical expertise and knowledge of enterprise environments.
Programme architect. Phase coordination, LOOP™ governance, client relationship.
React/Node.js & AI expert. Agent implementation and complex integrations.
Data engineering and cloud architecture expert. Data pipeline preparation.
Specialist in deploying models to production and AI observability.
Human support for change. Training and adoption of AI tools.
Certifying training programmes on AI tools and practices.
Technology watch and access to the latest advances in applied AI.
Programme architect. Phase coordination, LOOP™ governance, client relationship.
Coordination & StrategyReact/Node.js & AI expert. Agent implementation and complex integrations.
AI DevelopmentData engineering and cloud architecture expert. Data pipeline preparation.
Data ArchitectureSpecialist in deploying models to production and AI observability.
MLOps & LLMOpsHuman support for change. Training and adoption of AI tools.
Change ManagementCertifying training programmes on AI tools and practices.
Training & CertificationTechnology watch and access to the latest advances in applied AI.
Each phase produces concrete deliverables. At programme end, you have agents in production, trained teams and operational governance.
Agents in real production, measured, governed. Three detailed case studies.
We present the program, the module best suited to your use case, and the estimated deployment timeline.