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Productising an AI-Augmented Delivery Offer for Global Consulting (Pricing + Sales + Margin Defence)

$199.00
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A focused course, tailored for you

Productising an AI-Augmented Delivery Offer for Global Consulting (Pricing + Sales + Margin Defence)

Build the productised AI-augmented delivery offer your firm needs to defend margin against AI-augmented competitors. 90-day build with pricing model, sales enablement, and competitive battlecards.

Global consulting firms that ship a productised AI-augmented delivery offer defend margin. Firms that ship hourly billable engagements lose to AI-augmented peers. C-levels that own the productised offer protect their division's P&L. Here is 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

Global consulting firms face a margin-defence problem. AI-augmented peers (and increasingly clients themselves) deliver outcomes in less time. The hourly-billable model becomes harder to defend. The path forward is productisation: pre-built capability packs, defined delivery model, packaged pricing, and full sales enablement.

C-level executives that own the productised offer directly defend their division's P&L. Without the offer, the division competes hour-for-hour against AI-augmented peers and loses.

This course teaches the 90-day productisation build for global consulting: 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), competitive battlecards against AI-augmented peers, and the GTM motion. Twelve modules with deliverables. Plus a hand-built implementation playbook for your specific practice domain.

What you walk away with

  • A documented productisation prioritisation matrix.
  • Pre-built capability packs with code, prompts, evaluations.
  • A standardised delivery model.
  • A pricing model (fixed-fee + outcome-based + hybrid).
  • A sales enablement pack (demo + ROI calculator + case studies).
  • Competitive battlecards against AI-augmented peers.
  • A 90-day productisation plan.

The 12 modules

Module 1. Productisation diagnostic for global consulting
Diagnose your firm's productisation fit across AI capabilities: customer-demand signal strength, technical-capability maturity, competitive-positioning against AI-augmented peers, pricing-power assessment, and the build-vs-partner decision. Productisation prioritisation matrix across your AI capability portfolio. Three worked examples from peer global consulting firms.
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.
Module 3. Standardised delivery model
Build the standardised delivery model: sprint structure, 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.
Module 4. Pricing model for margin defence
Build the pricing model: fixed-fee (defined-scope, defined-deliverables), outcome-based (success-fee, value-share), hybrid (fixed + variable). Pricing-power analysis against AI-augmented peers, cost-to-deliver model, willingness-to-pay model, competitive benchmarking, packaging tiers, and the discount discipline. The pricing that protects margin.
Module 5. Sales enablement pack
Build the sales enablement pack: positioning statement, demo script, ROI calculator showing client savings vs hourly competitors, case studies (3 minimum), competitive battlecards, and the discovery-conversation guide. Sales enablement that wins against AI-augmented peers.
Module 6. Competitive battlecards
Build the competitive battlecards: positioning vs Big4 + boutique + AI-augmented-specialist + foundation-model-provider direct services. Win-themes, objection-handling, pricing-anchor strategy, and the proof-points. The battlecards that turn competitive RFPs.
Module 7. 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.
Module 8. 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.
Module 9. 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.
Module 10. 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. How to compound an initial sale into a 3-year account.
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).
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. Weeks 7-8: standardised delivery model + pricing model. Weeks 9-10: sales enablement + battlecards + discovery workflow. Weeks 11-12: operating model + quality framework + GTM launch.

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 7 cover sales enablement, competitive battlecards, and discovery workflow.
Modules 8 to 11 cover operating model, quality framework, customer success, 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, competitive battlecards, discovery workflow, operating model, quality framework, customer success, GTM launch.
  • A hand-built implementation playbook generated for your specific practice domain.
  • Three worked examples of productised AI delivery at peer firms.
  • Scripted talking points for the practice principal and board 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 and battlecards ready.

Week 12: Practice GTM launched.

Before and after

Before

Your firm ships hourly-billable engagements. AI-augmented peers deliver faster at lower cost. Margin is under pressure. 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, battlecards. The practice defends margin against AI-augmented peers.

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 C-level executives, practice leaders, AI capability leads, and senior partners at global consulting firms productising AI offerings to defend margin.

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?
Module 1 covers the prioritisation matrix across capabilities.
Does this cover IP and joint-development with foundation-model providers?
Module 8 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.

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