The 90-Day AI Productivity Accelerator : Unlock Hidden Productivity, Increase Revenue & Find new Growth Levers, Innovate with AI Agents and Build Your AI Execution Engine

This training is designed for professionals who want to understand how AI Agents can improve business productivity and support the redesign of critical workflows.

No coding knowledge is required for the Executive Prebrief, Practitioner Workshop or Enterprise Lab.

This training enables participants to understand, identify and structure the use of AI Agents in business processes in order to create measurable gains in revenue, productivity, quality and operational efficiency.

By the end of the training, participants will be able to:

• understand the role of AI and Agentic AI Agents in business transformation;
• distinguish between traditional automation, copilots, automated workflows and AI Agents;
• identify business processes with friction, value leaks or repetitive tasks;
• analyse an existing process using a Business Process Reengineering approach;
• detect improvement opportunities using generative AI and AI Agents;
• define the roles, boundaries, responsibilities and escalation rules of an AI Agent;
• draft a first AI Agent Contract describing the mission, scope, data, permitted actions, controls and performance indicators;
  • integrate governance, security, data protection and human supervision principles;
  • blueprint for a 90-day operational roadmap for an AI pilot;
  • blueprint for a structured recommendation to a decision committee or management team. (Persona for AI Agents);
  • AI operating Platform (High Level)

The training follows a practical, business-oriented approach: identify process friction, design AI Agent use cases, define an execution model and build a 90-day roadmap.

The programme can be adapted depending on the selected format: executive prebrief, 2-day practitioner workshop, 5-day enterprise lab or technical option.

Module 1 — Understanding AI Agents and their business value

• Introduction to AI Agents.
• Generative AI, large language models, tools, memory, retrieval, actions and orchestration.
• Difference between automation, RPA, copilots, Agentic Workflow and AI Agents.
• Use cases across support functions, operations, finance, HR, customer service, sales, IT and document management.
• Success conditions for an AI Agent initiative.
• Agentic AI and Brain Design Techniques.

Module 2 — Identifying friction and productivity leaks

• Mapping an existing business process.
• Identifying repetitive tasks, duplicate entries, delays, unnecessary approvals, information gaps and frequent errors.
• Analysing actors, systems, data, decisions, documents and exceptions.
• Prioritising friction points based on impact, frequency, feasibility and risk.

Module 3 — Designing AI Agent use cases

• Translating process problems into AI opportunities.
• Defining the operational role of an AI Agent.
• Identifying required capabilities: search, summarise, classify, draft, recommend, escalate, update a system or generate a report.
• Defining the interaction between humans, AI Agents, systems and workflows.
• Prioritising use cases based on value, feasibility, data readiness and risk.

Module 4 — Building an AI Agent Contract & Persona

• Defining the agent’s mission and scope.
• Identifying users, business owners, data owners and technical owners.
• Defining authorised data and sources.
• Clarifying permitted and prohibited actions.
• Setting decision rights and human approval rules.
• Defining security, confidentiality, traceability and supervision controls.
• Establishing performance indicators and success criteria.

Module 5 — Governance, security and execution

• Key AI Agent risks: sensitive data exposure, hallucinations, prompt injection, tool misuse, excessive permissions and lack of monitoring.
• Governance principles: ownership, human validation, logging, auditability and periodic review.
• Implementation choices: build, buy, co-develop or use an existing enterprise platform.
• Definition of a 30/60/90-day roadmap.
• Preparation of an executive recommendation.

• AI Agents and business productivity.
• Generative AI and large language models.
• Automation, RPA, copilots and agentic workflows.
• Business Process Reengineering principles.
• Process friction and value leak analysis.
• Current-state process mapping.
• Data, systems, decisions and controls mapping.
• AI opportunity identification.
• Use-case prioritisation.
• AI Agent role definition.
• AI Agent Contract canvas.
• Human-in-the-loop design.
• Governance and security guardrails.
• Data access and confidentiality.
• Prompt injection and tool misuse risks.
• KPI and ROI logic.
• Blueprint 90-day execution roadmap.
• Executive pitch and decision support.

The training combines business concepts, practical tools and interactive workshops.

Evaluation is based on active participation and the practical outputs produced during the training.

At the end of the training, participants receive a certificate of participation.

• training summary
• process friction map
• value leak analysis
• AI Agent opportunity backlog
• AI Agent Contract canvas
• human-in-the-loop checklist
• governance and security checklist
• KPI and ROI indication
• 30/60/90-day roadmap blueprin

• in-person training;
• live online training;
• hybrid training;
• in-company workshop;
• inter-company session;
• executive briefing;
• enterprise lab;
• technical implementation workshop.

This training can be delivered in partnership with training institutions, business associations, innovation hubs, sector federations, chambers of commerce, digital transformation programmes or enterprise partners.

The 90-Day AI Productivity Accelerator : Unlock Hidden Productivity, Increase Revenue & Find new Growth Levers, Innovate with AI Agents and Build Your AI Execution Engine

Expert Enterprise Lab - Duration: 5 days plus technical lab option
Duration: 5 days
Purpose: build a company-specific AI Agent roadmap, operating model and 90-day execution blueprint roadmap.

Other Formats and Options : *Price on request

Executive Prebrief

• Duration: 90 min briefing (remote session) + Executive Documentation Kit
• Purpose: create shared understanding of AI Agents, productivity potential, risks and first opportunity areas. Understand the value of the full training , audience , outcome.

Practitioner Workshop (Accelerator Track)

• Duration: 2 days
• Purpose: diagnose one or two process, map friction, define AI Agent opportunities and draft a first AI Agent Contract.

Technical tracks add-on

• Purpose: add technical architecture, platform selection, prototype planning or implementation preparation.
• Possible technical tracks include Microsoft 365, SharePoint, Teams, Power Platform, Copilot Studio, Azure AI Foundry, UiPath, ServiceNow, Salesforce, Atlato, SAP, AWS, Google or custom AI Agent architectures.