Consulting methods, frameworks and AI tips
Practical, how-to guidance for consulting teams: the frameworks we use, the shortcuts that save days, and how AI is changing the way deliverable work gets done.
Three Questions to Ask Before Putting a TAM Estimate in a Client Deck
A large total addressable market does not automatically make a business opportunity attractive. Learn how consultants can define the market, test key assumptions, and cross-check TAM estimates before presenting them to clients.
The deal room, rewired: what agentic diligence at big firms means for boutiques
Deloitte says its AI-driven M&A platform now runs across more than 1,000 client engagements. For boutique advisors, the answer is not a platform of their own. It is a diligence plan that already connects the workstreams.
A Linked Source Is Not a Checked Claim: How Consultants Can Verify Research Before It Reaches the Client
A citation in a consulting presentation does not automatically validate the claim beside it. Learn how to verify sources, preserve context, and build a repeatable quality-checking process before delivering research to clients.
The Request List That Saves Week One: A Better Way to Start Consulting Engagements
A consulting engagement can lose valuable time before the analysis even begins. Learn how to build a focused client information request list with clear priorities, ownership, and deadlines.
AI Is Reshaping Consulting Teams: What Stays Human When AI Does More of the Work?
As AI takes on more consulting tasks, human judgment remains essential. Explore what teams can automate and where problem framing, critical thinking, stakeholder insight, and decision-making still matter.
AI-Ready Data: The Foundation of Reliable AI Workflows in Consulting
Reliable AI workflows start with reliable data. Learn how consulting teams can improve source quality, context, permissions, and traceability before putting AI agents to work.
Who Governs the AI Agent? A Practical Control Framework for Consulting Workflows
As AI agents move into consulting workflows, governance becomes essential. Learn how teams can control permissions, human approval, source validation, audit trails, escalation, and monitoring.
The Economics of Consulting Rework: How to Improve Delivery Without Sacrificing Quality
Why consulting rework happens, what it costs in capacity and client trust, and how leaders can cut avoidable rework without compromising analytical rigour.
From AI Pilots to Agentic Workflows: What Consulting Teams Need to Change in 2026
AI adoption in consulting is moving beyond isolated pilots. Discover how consulting teams can redesign workflows around AI while keeping human expertise, verification, and decision-making at the center.
How AI Is Transforming Business Consulting
AI is changing how consulting teams research, analyze information, and deliver strategic insights. This article explores how AI can support consultants across research, analysis, decision-making, and client delivery.
Deloitte Boosts M&A with AI & Agentic Tech
Deloitte's acquisition of AI and agentic AI platforms signals a shift towards automating deal sourcing and due diligence, allowing consulting firms to focus on higher-value strategic advisory rather than transactional tasks. This integratio
Responsible AI Governance: 48.3% CAGR Outlook Through 2030
This strong growth in responsible AI governance consulting signals a new imperative: firms must now integrate ethical AI frameworks directly into their client engagements, not as an afterthought, but as a core service offering to manage eme
AI Consulting Network Adds 90 Skills for CRE Underwriting & Due Diligence
This expansion means consulting firms must now integrate these readily available AI agent skills to automate complex real estate tasks, freeing up human experts for higher-value strategic analysis. Firms that adopt these open-source tools w
Cornell Workshop: AI in Scientific Research
This workshop signals a shift for consulting firms: AI isn't just a tool to suggest, but a core competency to master. Firms must now integrate AI understanding into their own service delivery, not just advise clients on it.
Ladybug Resource Group Launches AI Software M&A Program
Ladybug Resource Group's AI software acquisition signals a new era of industry consolidation, pushing consulting firms to adapt their due diligence and integration strategies for rapid, tech-focused deal execution. This move emphasizes the
AI Reshaping Work: Eagle Hill Consulting Finds Leadership & Culture Lag
This research highlights that while AI adoption is advancing, consulting firms must now focus on helping clients bridge the gap between their technological capabilities and the human elements of their operations, specifically leadership and
Accenture's $9B AI Acquisition Strategy
Accenture's massive acquisition spree signals a shift in consulting strategy: firms must now actively buy specialized AI capabilities, not just build them, to remain competitive. This aggressive M&A approach forces consultancies to integrat
Accenture's $9B AI & Cybersecurity Play
Accenture's significant acquisition spending signals a shift towards integrated AI and cybersecurity offerings, pushing consulting firms to develop broader, more specialized practices rather than relying on standalone expertise. This move d
Imagenet Acquires Analytica: AI & Data Engineering for Payers
This acquisition means consulting firms must now offer integrated AI and data engineering solutions directly into payer operational workflows, not just as advisory services. Clients will expect these capabilities to be part of the core serv
SonicStrategy Q2 2026: Staking Revenue & ARKLAB LOI Termination
This SonicStrategy report signifies a shift for consulting firms: projects requiring speculative AI integration must now demonstrate clear revenue potential and pass rigorous vetting, or face immediate termination, impacting how they struct
Decision Intelligence: Consulting's Next AI Advantage
For consulting firms, embracing Decision Intelligence means shifting from advising on AI potential to actively shaping its practical application through data-driven, automated choices. This demands a focus on building capabilities that embe
Why AI loses the plot on a real project (and how to keep it on track)
A chat model can nail a single task and still fail an entire engagement. The reason is context: windows run out, earlier work gets forgotten, and multi-source information defeats a single thread. Here’s what’s actually happening under the hood.
Why a general chatbot can’t run a strategy engagement (and what can)
A chatbot can draft a SWOT or explain a framework, and it will confidently build you a strategy deck with a number it invented. Here’s why general AI fails at a full strategy engagement, and the architecture that survives one.
Why AI fails in consulting (and how to catch it before the client does)
From Deloitte’s A$440,000 report to the Air Canada chatbot, the documented AI-hallucination cases are getting expensive. Here’s what actually goes wrong, and the checks that keep a deliverable honest.
IBM & OpenAI: Boosting Enterprise AI with Consulting
This IBM and OpenAI partnership means consulting firms will need to build robust integration capabilities for generative AI models, moving beyond standalone advisory to hands-on implementation for clients. Consulting engagements will increa
How to size a market in a day (not a week)
A practical, step-by-step approach to bottom-up market sizing that a consultant can run in a day, and the AI tools that make the grunt work disappear.
SWOT analysis done right (most of them are wrong)
Why most SWOT matrices are internally inconsistent, and the framing that makes one actually useful in a client deck.
What a diligence workstream actually takes (day by day)
A realistic walkthrough of a commercial-due-diligence workstream: what each day produces, where the time actually goes, and which parts are automatable today.
When to trust an AI number (and when to throw it out)
Not every AI output is equal. Here’s a practical test for deciding which generated numbers, claims and citations you can rely on, and which you should treat as a draft.