Description

A focused course, tailored for you

Building an AI-Augmented Delivery Practice in 90 Days (Consulting Productisation)

Build a productised AI-augmented delivery offering from scratch in 90 days. Pre-built capability packs + delivery model + pricing + sales enablement.

Every consulting firm has hundreds of AI prototypes from internal hack weeks and client pilots. Productising them into a repeatable AI-augmented delivery offering is the highest-leverage move for 2026 capture. Here's the 90-day build.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Consulting firms have built hundreds of AI prototypes through internal hack weeks, client pilots, and partner engagements (Microsoft, Google, AWS, Anthropic, OpenAI). Most live as one-off engagements or proof-of-concepts. The path to scale is productisation: turn the AI prototypes into a repeatable AI-augmented delivery offering with pre-built capability packs, defined delivery model, packaged pricing, and full sales enablement.

Productisation lets consulting firms compete on speed-to-value and price-per-outcome rather than billable hours. Clients increasingly expect 'show me what you already have' rather than 'build me something custom'. Firms that productise capture more deals at better margins. Firms that don't are reduced to commodity body-shop competition.

This course teaches the 90-day productisation build: capability-pack design (pre-built code, prompts, evaluations), delivery-model standardisation (sprint plans, deliverables, milestones), pricing model (fixed-fee vs outcome-based vs hybrid), sales enablement (demo, ROI calculator, case studies), and the GTM motion. Twelve modules, each ending with a deliverable artefact. Plus a hand-built implementation playbook for your specific practice domain.

What you walk away with

A documented productisation prioritisation matrix across AI capabilities.
Pre-built capability packs with code, prompts, and evaluations.
A standardised delivery model with sprint plans and milestones.
A pricing model (fixed-fee, outcome-based, hybrid).
A sales enablement pack (demo, ROI calculator, case studies).
A GTM motion with positioning and pricing tier.
A 90-day productisation plan.

The 12 modules

Module 1. Productisation diagnostic and practice-domain selection

Diagnose your practice's productisation fit across AI capabilities: customer-demand signal strength, technical-capability maturity, competitive-positioning, pricing-power assessment, and the build-vs-partner decision. The productisation prioritisation matrix across your AI capability portfolio. Deliverable: prioritisation matrix and target-capability selection. Three worked examples drawn from real implementation packages plus the conversation-script for the next sponsor meeting that lands the artefact for review.

Module 2. Capability pack design

Build the capability pack: pre-built code modules, prompt libraries, evaluation harnesses, reference architectures, integration patterns, and the operating runbooks. The pack structure that lets a delivery team go from kickoff to first prototype in 5 days. Three worked examples of capability packs from peer practices. Deliverable: capability pack template.

Module 3. Standardised delivery model

Build the standardised delivery model: sprint structure (1-week, 2-week), kickoff playbook, discovery-and-scope template, build-sprint deliverables, integration-sprint deliverables, handover and training, and the post-engagement support model. The delivery model that compresses cycle time and lets the team scale. Deliverable: standardised delivery model document.

Module 4. Pricing model design

Build the pricing model: fixed-fee (defined-scope, defined-deliverables), outcome-based (success-fee, value-share), hybrid (fixed + variable). Pricing-power analysis: cost-to-deliver model, willingness-to-pay model, competitive benchmarking, packaging tiers, and the discount discipline. The pricing model that protects margin and supports sales. Deliverable: pricing model document with three options.

Module 5. Sales enablement pack

Build the sales enablement pack: positioning statement, demo script, ROI calculator, case studies (3 minimum), competitive battlecards, and the discovery-conversation guide. Sales enablement is what makes the productised offering sellable. Three sales-enablement patterns from peer practices. Deliverable: sales enablement pack.

Module 6. Discovery-and-scope workflow

Build the discovery-and-scope workflow: client-fit assessment, use-case scoping interview, technical-environment assessment, data-readiness assessment, statement-of-work template, and the proposal pricing model. The workflow that takes discovery to signed SOW in 2 weeks. Deliverable: discovery-and-scope workflow document. Three worked examples drawn from real implementation packages plus the conversation-script for the next sponsor meeting that lands the artefact for review.

Module 7. Delivery team operating model

Build the delivery team operating model: roles (delivery lead, AI engineer, data engineer, product designer, business analyst, change manager), staffing model (mix of FTE-to-contractor-to-partner), capacity planning, utilisation targets, and the delivery-quality framework. The model that scales without quality erosion. Deliverable: operating model document.

Module 8. Quality-and-evaluation framework

Build the quality-and-evaluation framework: pre-deployment evaluation harness, post-deployment monitoring, client-acceptance criteria, success-metric definition, and the failure-handling process. AI delivery requires evaluation rigor beyond traditional consulting QA. Deliverable: quality-and-evaluation framework. Three worked examples drawn from real implementation packages plus the conversation-script for the next sponsor meeting that lands the artefact for review.

Module 9. Customer-success and account growth

Build the customer-success motion: post-deployment success-tracking, expansion-opportunity identification, customer-reference development, account-growth playbook, and the renewal model (for ongoing-engagement offerings). How to compound an initial sale into a 3-year account. Deliverable: customer-success playbook. Three worked examples drawn from real implementation packages plus the conversation-script for the next sponsor meeting that lands the artefact for review.

Module 10. Partner and ecosystem strategy

Build the partner strategy: hyperscaler partnerships (Microsoft Azure AI, Google Cloud AI, AWS Bedrock), AI-foundation-model partnerships, ISV co-sell, and the partner-driven lead-flow. Partner alignment is what makes consulting firms compete on price-per-outcome. Deliverable: partner strategy document. Three worked examples drawn from real implementation packages plus the conversation-script for the next sponsor meeting that lands the artefact for review.

Module 11. Practice GTM launch

Build the practice GTM launch: internal launch (delivery training, sales training), external launch (announcement, content marketing, conference presence, analyst briefing), partner-channel activation, and the 90-day ramp targets (pipeline, bookings, deliveries). Deliverable: GTM launch plan. Three worked examples drawn from real implementation packages plus the conversation-script for the next sponsor meeting that lands the artefact for review.

Module 12. Your 90-day productisation plan

Week-by-week plan with weekly deliverables. Weeks 1-2: productisation diagnostic + capability-pack target. Weeks 3-6: capability pack build (code, prompts, evaluations, runbooks). Weeks 7-8: standardised delivery model + pricing model. Weeks 9-10: sales enablement pack + discovery workflow. Weeks 11-12: operating model + quality framework + GTM launch. Deliverable: full productisation pack.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Modules 1 to 4 cover diagnostic, capability pack, delivery model, and pricing.

Modules 5 to 8 cover sales enablement, discovery workflow, operating model, and quality framework.

Modules 9 to 11 cover customer success, partner strategy, and GTM launch.

Module 12 covers the 90-day plan.

What you get with this course

The 12-module course delivered as text plus downloadable templates.
Templates for capability pack, delivery model, pricing model, sales enablement, discovery workflow, operating model, quality framework, customer success, partner strategy, GTM launch.
A hand-built implementation playbook generated for your specific practice domain.
Three worked examples of productised AI delivery practices at peer firms.
Scripted talking points for the practice principal pitch.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: Productisation diagnostic completed.

Week 6: Capability pack built and tested.

Week 8: Delivery model + pricing approved.

Week 10: Sales enablement pack ready.

Week 12: Practice GTM launched with first engagements.

Before and after

Before

Your practice has hundreds of AI prototypes from pilots. Engagement cycle time is long. Pricing is hourly. Sales lacks repeatable assets. Practice principal wants productisation.

After

A productised AI-augmented delivery offering is launched. Pre-built capability packs are available. Delivery is sprint-based. Pricing is fixed-fee or outcome-based. Sales has demos, ROI calculators, case studies. The practice is bookings-ready.

What happens if you do not address this

Consulting firms that fail to productise AI delivery are reduced to commodity body-shop competition. Firms that productise capture more deals at better margins.

Who it is for

For consulting practice leaders, AI capability leads, delivery managers, and senior consultants building productised AI offerings.

Who this is NOT for. Pure research roles. Firms not building AI offerings. Firms that already have productised AI delivery.

How it arrives

Text-based course via LMS, plus downloadable templates and the hand-built implementation playbook.

Time investment. Roughly 18 hours of reading and 200 to 400 hours of team effort across the 90-day build.

Why $199 is the right number

External productisation consultants charge $300K-$1.5M for consulting-firm engagements. Specialist GTM advisory runs $200K-$500K. Big4 consulting-firm advisory runs $500K-$2M. $199 buys the focused playbook plus the implementation document for your specific practice domain.

FAQ

Will this replace hiring a productisation consultant?

Partially. It teaches you the productisation playbook. You may still want specialist support for novel-capability pricing-power analysis.

What if my practice spans multiple domains (data, ML, generative AI)?

Module 1 covers the prioritisation matrix across capabilities.

Does this cover IP and joint-development with foundation-model providers?

Module 10 covers foundation-model-vendor partnerships and IP allocation.

What about the build-vs-partner-vs-buy productisation question?

Module 1 covers each path.

What is in the implementation playbook for me specifically?

A productisation diagnostic tailored to your specific practice domain; capability-pack target with reference architecture; a 90-day build plan.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.