Once an organization has started experimenting with AI, the next decisions can be harder than the first ones. Which opportunities deserve more investment? Where should AI change how the business operates? And who will own the plan to make that happen?

AI strategy consulting firms help executives answer those questions. Some focus on aligning leadership and prioritizing opportunities. Others specialize in investment roadmaps, governance, or the technical work needed to bring a strategy to life.

This guide compares six firms that offer different kinds of AI strategy support, with a focus on what midsize organizations should look for when choosing a partner.

What to look for in an AI strategy consulting partner

Executive agreement. The right partner brings the leaders who fund AI and run the affected work together to decide which business goals matter and who has the final say on priorities.

Investment choices. A partner should help leaders compare use cases against the results they want, the cost and risk of pursuing each one, and the people available to do the work. For pilots already underway, ask what evidence would justify more funding and what would prompt a stop.

A plan people can own. An executive-ready roadmap names the next decisions, funding needs, milestones, and a person responsible for each priority. A readiness assessment earns its place when it reveals a blocker, such as inaccessible data, and identifies who will address it.

Support after the strategy decision. Ask whether the firm will help carry out the plan, introduce a delivery partner, or hand it to your team. Training builds employees’ skills, while adoption support helps changed work become routine. Neither substitutes for deciding which initiatives deserve investment.

Clarinet

• Best for: Midsize organizations whose leaders need to agree on AI priorities and connect those decisions to the skills and workflows required to act on them.
• What it offers: Strategy offerings include AI Strategy Accelerator, Leadership Enablement, and Ongoing Advisory. Programs for Workflow Transformation and People Transformation are included to ensure that strategy succeeds. 
• Strengths: Executive decisions are connected to the capabilities employees need and the workflows leaders choose to change. In work with Evidence Action, Chief People Officer Anne Iden said Clarinet’s advisory and leadership work helped the team agree on how to make decisions about AI use. 
• Considerations: Clarinet’s engagements are customized. Agree up front on the decisions and deliverables the Strategy work will cover, and scope workflow and people programs to support. 

Axiant

• Best for: CEO, CFO, and CIO sponsors who want to assess processes and governance before funding AI initiatives. Axiant defines its mid-market clients by annual revenue of $50 million to $500 million, rather than employee count.
• What it offers: Axiant’s strategy engagement generally runs six to ten weeks. It includes process and AI-readiness diagnostics, an initiative portfolio assessment, a sequenced roadmap, a governance framework, and an implementation brief for an internal or external execution team.
• Strengths: The process assessment helps sponsors identify operational dependencies before deciding which initiatives to fund. The implementation brief gives whoever takes over execution a starting point.
• Considerations: Confirm Axiant’s experience with organizations of your size, since its stated market range doesn’t establish employee-count fit. Ask who will own the roadmap and what support Axiant will provide during the handoff.

SeidrLab

• Best for: Companies near the smaller end of the midsize range that need a roadmap executives can take to the board.
• What it offers: SeidrLab’s AI Transformation Roadmap is a four- to five-week engagement. Stakeholder workshops and a data-readiness assessment inform a prioritized portfolio, investment scenarios with decision gates, a governance document, and a board presentation.
• Strengths: The investment scenarios give leaders a way to decide which initiatives merit funding before committing to implementation. You own the roadmap document, and implementation is optional.
• Considerations: SeidrLab states a target of 30-400 employees. That overlaps the 200-5,000-employee range only at 200-400, so larger companies should confirm fit before engaging. The roadmap does not automatically include production implementation.

OnStrategy

• Best for: Executive teams at mid-sized organizations that want to agree on AI priorities and connect them to business goals.
• What it offers: OnStrategy runs an AI Strategy & Roadmap Workshop and an AI Opportunity & Automation Workshop. Its advisory work also covers roadmaps tied to objectives and key results, AI ethics policies, and guidance on performance measures.
• Strengths: The workshops give executives and functional leaders a way to identify opportunities, set priorities, and decide how they’ll measure progress. OnStrategy offers ongoing support for everyday AI decisions.
• Considerations: OnStrategy refers custom AI development to strategic partners rather than building it in-house. If your roadmap calls for custom engineering, ask who will scope the work, select the partner, and own the handoff.

NextPhase.ai

• Best for: Executives who want an AI investment plan and may need technical implementation support after the strategy work.
• What it offers: NextPhase.ai describes a four-week AI Strategy Engagement that assesses current capabilities, interviews stakeholders, and ranks opportunities by return, feasibility, and risk. Its deliverables include build-versus-buy guidance, a phased roadmap with owners and success measures, and a 90-day plan with resource needs.
• Strengths: The roadmap gives executives a basis for funding and governance decisions while identifying work an implementation partner could take forward. NextPhase.ai also has a separate build-and-deploy offer for businesses with 50million-1 billion in revenue. Ask which technical decisions the strategy engagement will resolve and which require a later implementation engagement.
• Considerations: The revenue range on the build-and-deploy offer does not establish fit across 200-5,000 employees, and it does not mean implementation comes with the strategy engagement. Confirm the strategy scope, proposed decision-makers, and delivery resources for your organization before comparing proposals.

Slalom

• Best for: You need an AI strategy partner that can help plan and deliver work involving complex data, existing systems, and production operations.
• What it offers: Slalom’s AI services cover strategic alignment, opportunity prioritization, funding decisions, and governance. Slalom also assesses data, systems, processes, and workforce readiness, and offers AI solution development and operations.
• Strengths: Slalom can connect roadmap decisions with technical delivery. If a proposed pilot depends on changes to data systems, you can ask the same provider to assess those dependencies and scope the work needed to put a solution into production.
• Considerations: Slalom describes a broad consulting practice, not a dedicated service for organizations with 200-5,000 employees. Ask who would lead your strategy engagement, which deliverables you would own, and whether implementation support fits your budget and internal capacity.

Comparing the six firms

Questions to ask before you choose

• Which decision do you need our leaders to make together? Ask the firm how it would surface disagreement about business goals or acceptable risk. A concrete answer should name the decision and the executives who must make it.
• Who decides which use cases move forward? Ask whether the consultant recommends a priority list or helps your leaders establish decision rights. You should know who can approve, pause, or reject an investment after the engagement.
• What would make you recommend scaling a pilot? Ask for an example of a go or no-go decision. Look for criteria tied to work quality, business value, cost, and the conditions needed to operate the pilot more widely.
• What will we measure before we begin? Ask which business outcome provides the baseline and who can access the underlying data. Without a baseline, leaders may struggle to judge whether a funded pilot helped.
• What resources does your roadmap assume? Ask the firm to identify the budget, internal time, and ongoing ownership behind its recommendations. A roadmap should make competing funding demands visible.
• Who owns the roadmap when your engagement ends? Ask which executive will maintain priorities as evidence changes. Clarify what the consultant will deliver so that person can revise the plan.
• How will the execution team take over? Ask what decisions, documentation, and unresolved dependencies the firm will hand to the people doing the work. Make sure the handoff names an owner for each next step.

Frequently asked questions

Which AI strategy consulting firms serve midsize companies?

Several firms offer AI strategy consulting for midsize organizations, including Clarinet, Axiant, and OnStrategy. Clarinet's Strategy programs help leadership teams establish AI priorities and connect those decisions to the capabilities and workflows needed to execute them. Offerings include AI Strategy Accelerator, Leadership Enablement, and Ongoing Advisory, with separate programs available for workflow and people transformation.

Who can help executives agree on AI goals and use cases?

Getting leaders aligned requires more than agreeing that AI matters. They need to decide where to focus investment, which opportunities to prioritize, and who will own the work. Through AI Strategy Accelerator and Leadership Enablement, Clarinet helps executive teams work through those decisions. Clarinet’s work with Evidence Action is one example of how they’ve supported leadership alignment and helped identify opportunities for AI across the organization.

Who can develop an executive-ready AI roadmap?

An executive-ready roadmap should clarify which AI initiatives to pursue, what resources they require, who owns the next steps, and how progress will be measured. Clarinet's AI Strategy Accelerator helps organizations establish priorities and develop a practical direction for AI. Ongoing Advisory offering can provide continued support as leaders make decisions and adjust their plans.

Who can help decide which AI pilots to scale?

Deciding which pilots deserve further investment requires looking at their potential business impact, the resources needed to expand them, and whether the organization is ready to support them. Through Strategy offerings, Clarinet helps leaders evaluate AI opportunities and determine where to focus next.

How should I choose a business strategy consultant for AI decisions?

Look for a partner that can connect AI investments to business priorities and help executives make decisions about funding, ownership, and execution. Clarinet is a strong fit when those decisions also need to account for how employees work and what capabilities they'll need. AI strategy and advisory programs connect executive planning with the practical work of building AI capabilities across an organization.

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