Sell AI Advisory Your Clients Will Pay For.
Launch a governed, priced AI consulting line — readiness assessments, roadmaps and workflow sprints — built on your firm's existing client relationships.
- Built For
- Established U.S. consulting firms, 11–50 employees
- Model
- Managed service with frameworks and prebuilt systems
- Starting Point
- AI Consulting Practice Readiness Diagnostic
- Initial Window
- 18–24 weeks to diagnostic, roadmap, first productized offering
- Pricing
- Value-based project pricing, then tiered recurring advisory or licensing
AI Consulting
AI Consulting gives your firm a ready-to-sell AI advisory line. Instead of scattered pilots, you get defined offerings, a methodology clients can trust, a governance position regulated clients accept, and pricing that turns AI conversations into signed engagements.
It covers AI readiness, competencies, strategy methodology, opportunity identification, workflow optimization, productization, architecture, governance, change management, productized services, pricing, sales enablement, internal transformation, practice management, knowledge capture, and performance measurement.
It supports offerings such as AI Readiness Assessments, AI Opportunity Diagnostics, AI Governance Assessments, AI Workflow Transformation Sprints, AI Strategy Roadmaps, and AI Value Creation Assessments.
Established U.S. consulting firms with roughly 11–50 employees — strategy, operations, finance, technology, HR, marketing, or sales practices. Real client relationships, experienced senior professionals, a strong niche or regional reputation, and meaningful dependence on project-based revenue.
Where Firms Get Stuck.
- 01Scattered AI activity that never becomes a business line
- 02AI pilots that never turn into billable offerings
- 03No institutional methodology clients can trust
- 04No governance story for regulated clients
- 05AI expertise held by one or two individuals
- 06Strategic clients drifting to more capable competitors
Sixteen Capabilities. One Operating Model.
This is the infrastructure required to build an AI consulting business — not software, not a prompt library, not generic AI training. It gives a smaller firm big-firm capability through systemization and intellectual infrastructure while keeping small-firm relationships, specialization, and speed. No attempt to become a miniature global consultancy.
- 01AI Readiness
Practice Readiness Assessment
Evaluate strategy, leadership, competencies, internal adoption, client demand, existing services, methodology, technology, governance, productization, sales, delivery, knowledge management, and practice economics.
- 02AI Competencies
Competency Development
Build the organizational and professional AI consulting competencies the practice needs, then close the gaps in a prioritized capability roadmap.
- 03Strategy Methodology
A Structured Way To Advise On AI
A repeatable approach for advising clients on AI strategy rather than improvising each engagement.
- 04Opportunity Identification
Repeatable AI Value Discovery
Methods for finding where AI creates measurable value inside a client's business.
- 05Workflow Optimization
Analyze And Redesign Client Workflows
Structured analysis and redesign of client workflows around AI-enabled process.
- 06Productization
Expertise Into Packaged Offerings
Convert AI expertise into repeatable, packaged offerings with a defined problem, process, timeline, deliverable, outcome, and price.
- 07AI Architecture
Data & Technology Principles
Architectural principles for the data and technology AI solutions depend on — principles, not a prescribed stack.
- 08AI Governance
Governance Built Into The Methodology
Responsible-AI governance capability your clients — including regulated ones — will accept.
- 09Change Management
Adoption On The Client Side
Support the organizational change that decides whether an AI implementation is used at all.
- 10Productized Services
Defined, Sellable AI Offerings
AI Readiness Assessments, Opportunity Diagnostics, Governance Assessments, Workflow Transformation Sprints, Strategy Roadmaps, and Value Creation Assessments.
- 11Pricing
Commercial Models For AI Work
Pricing and packaging models for AI offerings, so value rather than hours sets the fee.
- 12Sales Enablement
Equipped To Sell AI Services
Positioning, proposals, and conversation guides for selling AI services to existing and new clients.
- 13Internal Transformation
Use AI In Your Own Firm First
Apply AI to research, knowledge management, and proposals internally — proof of capability and efficiency at once.
- 14Practice Management
Run The Practice As A Business
Guidance and templates for operating and managing the AI consulting practice.
- 15Knowledge Capture
From Individuals To Firm Capability
Move AI knowledge out of individual heads and into firm-level systems and methodology.
- 16Performance Measurement
Prove The Practice Works
Metrics and reporting for the AI practice: services launched, revenue, delivery consistency, capacity, and utilization.
What You Get.
AI Readiness & Competencies
Assess the firm's capability and close the gaps that block delivery.
Strategy Methodology
A repeatable method for AI strategy and opportunity identification.
Governance & Architecture
Governance assessments and delivery architecture clients accept.
Productized AI Services
Assessments, diagnostics, sprints, and roadmaps ready to sell.
Pricing & Sales Enablement
Pricing models, proposals, and scripts for AI engagements.
Knowledge Capture & Measurement
Institutionalize what works and prove the value created.
The Pilot Sequence.
- 01Diagnose
Run The Readiness Diagnostic
Assess the firm's current AI capability across strategy, competency, delivery, governance, sales, and practice economics.
- 02Roadmap
Build The Capability Roadmap
Sort capabilities into existing, adaptable, to be built, acquirable, and unnecessary — then prioritize the fastest path.
- 03Productize
Package The First AI Offering
Define one sellable offering end to end: problem, process, timeline, deliverable, outcome, and price.
- 04Enable
Equip The Team To Sell And Deliver
Competency development, methodology, governance, and sales enablement so the offering goes to market with confidence.
- 05Institutionalize
Expand Into Recurring Advisory
Move from project engagements to implementations and recurring advisory, capturing knowledge at firm level as you go.
Results You Can Measure.
- A faster path to a credible AI consulting practice
- New AI-related service revenue
- Reusable methodologies
- Recurring AI advisory relationships
- Stronger client retention
- Increased professional capacity
- Reduced dependence on individual AI specialists
- Transformation from AI-aware to AI-transformation partner
- Progression from AI-aware to AI-transformation partner
- New productized AI services launched
- Recurring AI advisory revenue
- Delivery consistency across engagements
- Institutional knowledge captured
- Reliance on individual AI specialists
- Professional capacity and utilization
- Client retention among strategic accounts
Value-based project pricing for the initial diagnostic and roadmap, then tiered recurring advisory or licensing for capability and productization modules
Scope and investment are set on the strategy call, based on your firm's size, client base, and the offerings you want in market first.
Let's Build Your Growth Roadmap.
See how AI Consulting would work inside your firm.