AI Coach

Continuous enablement & support with AI expertise

Continuous AI enablement and SME / expert-level support for senior leaders, mid managers and their teams: delivered through a 20 hours a month retainer model.

Book a discovery call

Outcomes we deliver

AI SMEs in a box on a retainer model, led by a Chief AI & Data Officer / Principal AI Architect level profile

A team of 5 AI SMEs available on a monthly basis across strategy, operations, architecture and engineering

On-call, on-demand advice for business personas on where AI applies in their processes and day-in-the-life tasks

Leaders equipped with thought leadership, point of view and AI strategy they can take to their own customers

What is the AI Coach Service

Continuous AI enablement and SME / expert level support for senior leaders, mid managers and their teams via a 20 hrs a month retainer model. You get AI SMEs in a box, led by a Chief AI & Data Officer / Principal AI Architect level profile, with a team of 5 AI SMEs available on a monthly basis.

This is an ongoing retainer, not a delivery programme. If you need the transformation itself designed and delivered: strategy, agentic pilots, skilling and governance on a roadmap: see AI Transformation, or compare all of our consulting services.

Your AI SME team

Fractional Chief AI & Data Officer / Principal AI Architect

Senior accountable profile who leads the retainer, shapes your AI agenda and owns the quality of advice across the engagement.

AI Business Strategist

Shapes and reviews AI strategy, highlights emerging and current trends, and surfaces leading practices across sectors and regions as decision-making data points for leaders.

AI Business Operator

Works with business personas on where AI can be applied in business processes, data analysis and day-in-the-life tasks, including support on AI business tool usage.

AI Architect

Advises on architecture and design, tech stack choices, technical solution review, AI / agent security, responsible AI, risk and governance.

AI Development Engineer

Hands-on support on technical issues in development, debugging, deployment, agent evaluation, improving agent performance and cost optimisation.

Scope of tasks & support areas

Monthly enablement webinars

Up to 2 sessions (4 hrs) per month on new AI tech and business use case topics of relevance to your AI agenda, initiatives and use cases.

On-call business support

On-demand support, consultation and advice for business personas on where AI can be applied in their business processes, data analysis, day-in-the-life tasks and AI business tools: within the 20 hrs of effort per month.

Technical support

Architecture and design, tech stack, technical issues in development, debugging, deployment, agent evaluation, improving agent performance, cost optimisation, agent / AI security, responsible AI, risk and governance, and technical solution reviews: within the 20 hrs of effort.

Thought leadership for leaders

Helping business-facing leaders and managers build thought leadership and point of view, and supporting them in consulting their own customers on AI strategy, operationalising AI in processes, departments and people transformation initiatives.

Presales & opportunity advice

Leaders can book a call for specific advice on customer opportunities and solution design for presales situations.

AI strategy shaping & review

Shaping and reviewing AI strategy, highlighting emerging and current trends and good / leading practices across sectors and regions that provide decision-making data points and insights to leaders.

Engagement model

A 20-hour monthly strategic retainer, deployed flexibly across executive advisory, webinars, technical consulting, and business strategy. Guided by a Fractional Chief AI & Data Officer, each engagement is tailored to address the organization's highest-priority initiatives and maximize impact.

Scope inventory

The retainer draws on 86 distinct capabilities across 15 areas. Open any area to see what we can do with you.

AI Strategy & Leadership5 offerings

AI Strategy & Roadmap: Define AI vision, priorities, roadmap, investment themes and transformation agenda
AI Leadership: Executive AI awareness, decision-making, AI operating model, leadership coaching
AI Transformation: Identify where AI can fundamentally change products, operations and business models
AI Governance & Responsible AI: AI governance, risk, safety, compliance, responsible AI principles
AI Value & ROI: Define business value metrics, AI value scorecards, ROI measurement

AI Business & Functional6 offerings

AI for Business Leaders: AI opportunities from business/product/process perspective
AI for Functions: AI for Finance, HR, Sales, Marketing, Operations, Risk, Procurement, Legal, etc.
AI Business Process Transformation: Identify processes suitable for AI/agents and redesign them
Agentic Process Design: Design AS-IS → TO-BE Agentic Process
AI Use-Case Discovery: Workshops to discover, prioritize and qualify high-value AI use cases
Use-Case Specification: Business requirements, AI use-case canvas, functional specifications, success metrics

AI Product Management5 offerings

AI Product Strategy: AI-enabled product strategy, product opportunities and roadmap
AI Product Management: Product discovery, prioritization, experimentation and lifecycle management
AI Product Design: AI UX, human-in-the-loop, agent interaction and AI experience design
AI Product Metrics: Adoption, quality, business impact, cost and outcome measurement
AI-Native Products: Identify opportunities to build products where AI is a core capability rather than an add-on

AI Technical & Architecture7 offerings

GenAI Architecture: LLM, RAG, agents, knowledge systems, orchestration and enterprise architecture
Agentic AI Architecture: Agent patterns, multi-agent systems, tool use, memory, planning and orchestration
AI Technology Selection: Evaluate LLMs, models, vector databases, agent frameworks, platforms and tools
AI Solution Design: Architecture workshops, solution blueprints and technical design
AI Architecture Review: Review existing AI solutions, designs and technical decisions
AI Platform & Engineering: AI platforms, infrastructure, deployment patterns and engineering practices
AI Security & Governance: AI security, permissions, data protection, model safety and guardrails

AI Software Development / AI-SDLC6 offerings

AI-Assisted Development: Coding agents, AI pair programming, code generation and developer productivity
AI-SDLC: AI across requirements → design → coding → testing → deployment → operations
Coding Agents: Agentic coding workflows, autonomous implementation and debugging
AI Testing: Test generation, automated testing, evaluation and AI quality assurance
AI DevOps / AgentOps: AI-enabled CI/CD, deployment, monitoring and operational workflows
Software Factory with AI: AI-native engineering teams and agent-driven software delivery

AI Engineering & MLOps5 offerings

LLMOps: Model lifecycle, prompt/version management, evaluation and deployment
AgentOps: Agent monitoring, tracing, evaluation, reliability and operational governance
AI Evaluation: Model, RAG, agent and application evaluation frameworks
AI Observability: Quality, latency, cost, hallucination, safety and production monitoring
AI Production Readiness: Architecture, scalability, reliability, security and operational readiness reviews

AI Consulting & Advisory6 offerings

AI Advisory: Ongoing strategic and technical AI advisory
AI Consulting: Problem definition → use case → architecture → roadmap
AI Design Reviews: Review business, functional and technical designs
AI Delivery Oversight: Architecture oversight and technical governance during implementation
AI Capability Assessment: Assess organizational AI maturity, skills, technology and governance
AI Operating Model: Define AI CoE, roles, processes, governance and engagement model

AI Innovation & Experimentation5 offerings

AI Innovation Sandbox: Set up enterprise AI/Agentic AI experimentation environment
AI Playground: Experiment with LLMs, agents, tools, RAG and emerging technologies
AI Hackathons: Structured AI innovation/hackathon programs
Rapid Experimentation: Validate AI concepts before committing to large investments
Emerging AI Technology Exploration: Explore new models, agent frameworks, AI platforms and capabilities

AI POCs & Rapid Prototyping5 offerings

2-Week AI POCs: Short, focused POCs to validate feasibility and business value
Rapid AI Prototypes: Build working prototypes around prioritized use cases
Agentic AI POCs: Demonstrate autonomous workflows and agent capabilities
Technical Feasibility: Validate architecture, models, data and integrations
POC Assessment: Recommend Scale / Iterate / Stop based on evidence

AI Training & Capability Building8 offerings

Executive AI Programs: AI awareness, strategy, opportunities, risks and leadership
Business AI Training: AI for business functions and domain teams
Product AI Training: AI product management and AI-native product development
Technical AI Training: GenAI, RAG, agents, LLM engineering, architecture, evaluation
AI-SDLC Training: AI-enabled software engineering and development lifecycle
AI Consulting Training: Teach consultants how to identify, design and sell AI opportunities
AI Sales / BD Training: AI opportunity identification, customer conversations and solution positioning
AI Mentoring: Continuous mentoring for business, product and technical teams

AI Sales & Business Development6 offerings

AI Sales Enablement: Equip sales teams to identify and position AI opportunities
AI Consulting Skills: Train consultants to conduct AI discovery and transformation workshops
AI Solution Selling: Connect customer problems → AI use cases → solutions → value
AI Proposal / RFP Enablement: Support AI solution narratives, architecture and value propositions
AI Customer Workshops: Joint customer discovery and ideation sessions
AI Industry Solutions: Build industry-specific AI solution plays

AI Industry / Domain6 offerings

BFSI AI: Banking, lending, cards, insurance, risk, treasury, finance
Healthcare AI: Clinical, operations, research and administrative use cases
Retail AI: Customer, merchandising, supply chain and operations
Manufacturing AI: Engineering, quality, maintenance, supply chain and operations
Telecom AI: Network, customer service, operations and revenue
Enterprise Functions: HR, Finance, Procurement, Legal, IT, Sales and Marketing

AI Operations & Continuous Enablement6 offerings

AI Initiative Monitoring: Track AI initiatives, milestones, adoption and business outcomes
AI Portfolio Management: Manage portfolio of use cases, POCs and production initiatives
AI Performance Monitoring: Monitor quality, adoption, cost and business impact
AI Governance Operations: Continuous governance, risk and compliance reviews
AI Community / CoE: Establish AI community, champions, knowledge sharing and enablement
Monthly AI Advisory: Ongoing advisory/office-hours model for customer teams

AI Webinars & Knowledge Programs5 offerings

Monthly AI Webinars: Up to 2 webinars/month, typically 1.5–2 hours
AI Leadership Sessions: Executive briefings on major AI developments
AI Technology Updates: LLMs, agents, coding agents, AI platforms and emerging technologies
Industry AI Sessions: AI trends and use cases by industry
AI Case Study Sessions: Practical enterprise AI examples and lessons learned

AI Workforce Transformation5 offerings

AI Skills Assessment: Assess current AI capabilities across teams
AI Role Transformation: Understand how AI changes roles and responsibilities
AI Workforce Upskilling: Role-based AI learning journeys
AI Champions Program: Build internal AI champions across business and technology
AI Adoption Program: Drive adoption beyond training through mentoring and experimentation

Ready to move from ambition to action?

Every engagement starts with a discovery call to understand your context, ambitions, and constraints. From there, we shape a program tailored to your organisation.