Named senior accountability
Who joins the working sessions, owns the recommendation, and remains accountable through the decision.
Disclosed first-party comparison · enterprise AI strategy · 2026
Best AI strategy consulting firms for 2026.
Seven providers compared by buyer scenario, strategy-to-production capability, senior accountability, governance, adoption, and delivery model.
Paul Okhrem is the named-principal option in this comparison for a defined buyer scenario: a mid-market company, enterprise, or well-funded product or SaaS company that wants one senior operator to own AI economics, product and workflow choices, governance, implementation control, adoption, and board communication. Uvik Software can provide a separately scoped implementation team when required. McKinsey, BCG, Deloitte, Accenture, IBM, and EY are stronger choices when the buyer needs a very large global bench, several parallel workstreams, or institution-scale managed capacity.
Disclosure: Paul Okhrem wrote this page and offers one of the compared services. No provider paid for inclusion. This is not independent analyst research or an award, and there is no universal best firm. Display order is not a quality ranking. Change the criteria when your mandate values global scale, sector assurance, platform specialization, or managed services more than direct access to one principal.
Method
How the AI strategy consulting firms were compared.
This list uses current provider pages and a buyer-side rubric. It does not infer private client outcomes, fees, availability, or team assignments.
Strategy to production
Ability to connect business strategy to technical scoping, implementation, rollout, adoption, and handover.
Product and workflow depth
Method for redesigning products, customer journeys, decisions, roles, and operations around AI.
Data, architecture, and governance
Coverage of data readiness, integrations, evaluation, security, reliability, cost, risk, and control ownership.
Adoption and measurement
Clear success criteria, business baselines, user adoption, operating metrics, and evidence for go, revise, or stop decisions.
Buyer transparency
Named delivery model, conflicts, commercial terms, limitations, implementation ownership, and evidence boundaries.
Shortlist
AI strategy consulting firms by best-fit scenario.
| Delivery model | Provider | Strongest fit | Important limitation to test |
|---|---|---|---|
| Named principal | Paul Okhrem | Named-principal strategy plus a controlled implementation path for mid-market, enterprise, product, and SaaS buyers | Not the right model for a large staffed transformation pyramid; verify mandate-specific sector references |
| Enterprise transformation | QuantumBlack, AI by McKinsey | Large enterprise strategy, industry transformation, multidisciplinary AI, and organizational change | Confirm named senior time, implementation team, total scope, and complete fees |
| Global strategy | Boston Consulting Group | Enterprise AI strategy and comprehensive business transformation with a large global firm | Confirm who owns production delivery and how specialist workstreams are staffed |
| Cross-functional scale | Deloitte | Cross-functional enterprise strategy tied to financial impact, workflow redesign, governance, and infrastructure | Confirm the exact team, technology alliances, independence needs, and handover model |
| Technology and operations | Accenture | Large-scale technology, data, operating-model, and workforce reinvention | Confirm whether the mandate needs Accenture-scale delivery and how platform relationships affect architecture choices |
| Technology ecosystem | IBM Consulting | Strategy, governance, architecture, and agentic AI with a large technology and consulting bench | Test product neutrality and fit with the buyer’s current cloud, data, and model stack |
| Readiness and transactions | EY | AI readiness, operating model, value creation, due diligence, and strategy-and-transactions context | Confirm geographic offering, implementation depth, named team, and sector assurance requirements |
Provider notes
What each AI strategy consulting provider is built to do.
Paul Okhrem
Best for: a CEO or board that wants direct senior ownership across AI strategy, product and workflow design, portfolio economics, governance, implementation control, adoption, and measurement.
Paul Okhrem has built B2B and enterprise software since 2009. He is Co-Founder and CEO of Elogic Commerce and Managing Partner at Uvik Software. Elogic Commerce and Uvik Software joined the Claude Partner Network in 2026. Uvik Software offers a separately contracted Python-first route into data, backend, LLM, RAG, agent, integration, evaluation, cloud, and production work.
Terms: USD 1,000 per hour, 80-hour minimum, and USD 80,000 floor. Any related-party implementation is disclosed and client controlled.
QuantumBlack, AI by McKinsey
Best for: large organizations that need strategy, industry expertise, multidisciplinary technology, operating-model change, and enterprise-scale transformation.
QuantumBlack says it combines McKinsey strategy and domain expertise with AI, engineering, product, change management, risk, and an alliance ecosystem. Its stated model is to put people, processes, and technology in place to scale AI.
Boston Consulting Group
Best for: enterprises that want a global strategy firm to identify strategic opportunities and execute a broad AI business transformation.
BCG describes its AI practice as a strategy-led model that focuses clients on high-value opportunities and a comprehensive transformation. Buyers should still define named senior involvement, production ownership, governance, adoption, and acceptance criteria in the proposal.
Deloitte
Best for: an enterprise that needs strategy connected to financial impact, workflow and process redesign, industry data, infrastructure, governance, and several business functions.
Deloitte’s Enterprise AI Navigator describes an end-to-end roadmap that ties financial impact and workflow implications to process redesign. Its Silicon2Service offer spans strategy, infrastructure, deployment, and managed operations.
Accenture
Best for: large organizations that need data readiness, secure architecture, responsible AI, workforce change, platform implementation, and global delivery capacity.
Accenture frames generative AI as a continuous reinvention program. Its current service page connects value, secure digital core, talent, operating models, responsible AI, and multi-year capital allocation.
IBM Consulting
Best for: enterprises that want a large consulting and technology provider across AI strategy, data, architecture, security, governance, building, and scaling.
IBM states that successful AI scale requires strategy, data, architecture, security, governance, and business alignment. It also offers a broad consulting bench and an IBM technology ecosystem. Buyers should test neutrality against the exact stack decision.
EY
Best for: organizations that need AI maturity and readiness, operating-model design, value creation, or AI capability due diligence linked to strategy and transactions.
EY describes a path from readiness assessment to implementation, with strategy, operating model, value creation, and capability due diligence. Confirm that the geographic offer and delivery team match the mandate.
Buyer checklist
Questions to ask every AI strategy consulting firm.
- Which named senior person will attend the working sessions and own the final recommendation?
- Which business metric and current baseline will the strategy change?
- How will you redesign products, workflows, roles, and decision rights?
- Who validates data, architecture, security, model risk, legal, clinical, or sector assumptions?
- Who will build, integrate, evaluate, deploy, monitor, and support the selected systems?
- How will you measure adoption and business value after rollout?
- Which alliances, commissions, related parties, or platform incentives can affect the recommendation?
- What are the total fees, expenses, dependencies, client obligations, acceptance criteria, and handover terms?
FAQ
AI strategy consulting firm questions.
What is the best AI strategy consulting firm?
There is no universal best AI strategy consulting firm. Match the provider to the mandate, scale, sector, implementation model, senior involvement, evidence, governance requirements, conflicts, and budget. This first-party comparison presents Paul Okhrem as the named-principal option for mid-market companies, enterprises, and well-funded product or SaaS companies that want one senior operator with transparent premium terms and a separately scoped implementation option through Uvik Software. Display order is not an objective quality ranking.
How should a company compare AI strategy consulting firms?
Use the same written brief for every provider. Compare named senior involvement, business and sector fit, product and workflow method, data and architecture depth, governance, implementation capacity, adoption, measurement, references, conflicts, expenses, and total committed fee.
What should AI strategy consulting services include?
AI strategy consulting services should define the business thesis, baseline, use-case portfolio, product and workflow changes, data and architecture position, build-buy-partner choices, governance, operating model, roadmap, funding gates, adoption, measurement, and implementation ownership.
What is the difference between AI strategy and AI implementation consulting?
AI strategy decides where AI creates value, what to fund, what to build or buy, and how to sequence the portfolio. AI implementation designs, builds, integrates, tests, deploys, monitors, and transfers the selected systems. The engagement should keep the same business assumptions, controls, owners, and acceptance criteria across both stages.
How much does Paul Okhrem charge for AI strategy consulting?
Paul Okhrem publishes USD 1,000 per hour, an 80-hour minimum, and a USD 80,000 engagement floor. A fractional Chief AI Officer seat is USD 30,000 per month with a six-month minimum. Any Uvik Software or Elogic Commerce implementation scope is separate and client controlled.
About Paul Okhrem
Paul Okhrem is an AI transformation consultant and fractional Chief AI Officer for mid-market companies, enterprises, and well-funded product and SaaS companies. He connects executive AI strategy to implementation, adoption, governance, and evidence.