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AI strategy consulting

AI strategy. Built for execution.

Decide where AI can create business value, what your organization must change, and how to scale responsibly. Elios connects those choices to a practical plan for execution.

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A whole-business perspective

Good AI strategy connects the whole business.

AI ambition depends on choices across the organization. We connect people, process, data, and technology, with governance guiding how decisions are made and risks are managed.

People

How must the organization evolve?

Define the leadership, workforce capabilities, and adoption priorities needed to deliver your AI ambition, including AI fluency so business and engineering teams can use AI well and judge the quality of its work.

Process

Where should AI reshape the business?

Identify where redesigning work can improve business performance and where human judgment remains essential, including AI-assisted software delivery: coding tools, repository instructions, review, and human ownership.

Data

Can your data support your AI ambition?

Assess whether data quality, access, and ownership support your priorities, and decide which gaps matter most.

Technology

Which choices support long-term value?

Set a technology direction that balances capability, cost, and flexibility as the business scales, including agent design, reusable skills, and MCP connectors to your systems and data.

Governance

Accountability and risk oversight across every area.

Define who decides, who owns the outcomes, and the evaluations, approvals, and permissions that keep AI use within agreed business and risk boundaries.

What we help you resolve

Make the decisions that shape your AI strategy.

Bring business ambition and technical judgment together to decide what to pursue, what to change, and what to scale.

01

Priorities and business cases

Build the case for which AI opportunities to pursue, defer, or stop, based on business value and readiness.

02

Business and workforce change

Decide where AI should reshape the business and what that requires of your people, capabilities, and adoption effort.

03

Data and technology

Set the data and technology direction, weighing readiness, build versus buy, integration, and long-term dependencies, including where agents, skills, and MCP connectors fit.

04

Ownership and governance

Establish decision rights, accountable owners, and risk boundaries that connect leadership direction to daily operations.

05

AI economics

Assess the full cost of AI, including model choices and token optimization, against quality and cost per successful task.

06

Performance and scale

Decide what to scale using evidence of business results, adoption, quality, and sustainable cost.

How the work happens

From strategic priorities to an executable plan.

Business leaders, technical teams, and Elios practitioners work together to test strategic choices against the realities of delivery.

  1. 01

    Establish the ambition

    Align on business outcomes, the scope of change, and organizational readiness.

  2. 02

    Evaluate the choices

    Compare value, feasibility, cost, and risk; test the assumptions that could change the decision.

  3. 03

    Define the path

    Sequence priorities, assign ownership, and identify the measures and specialist expertise needed to execute.

What you take forward

Depending on scope: a roadmap and business case, an operating model, or recommendations for technology, data, and adoption—with clear ownership and measures of success.

Arthēa and Elios team members together

Client story

AI in everyday work at Arthēa.

AI fluency training, a Project Operating Model, and Claude skills the team owns and adapts.

Read the Arthēa story →

Advice in practice

Choosing the right AI models.

For an enterprise software company, model-selection guidance provides a repeatable framework for weighing quality, security, response time, and total cost against real workflows.

The guidance supports model evaluation and selection. Implementation is a separate step.

Strategy led by practitioners.

We build and use AI every day, in our own business and with clients. That hands-on experience shapes the advice we give you.

Matthew Groff

Matthew Groff

Technology & engineering

Advises leaders on AI architecture and technology direction, balancing capability, performance, and cost. Connects model selection and token optimization to business priorities, then leads engineering teams to build reliable systems that can scale.

Previously at Accenture and Umbrage, acquired by Bain & Company.

Claude Certified Architect

Jose Campos

Jose Campos

Product strategy & client solutions

Advises leaders on product and AI strategy, using discovery, process mapping, and process redesign to identify where AI can improve business performance. Turns those priorities into product direction, builds teams, and leads execution and adoption alongside clients.

Previously at Accenture and Umbrage, acquired by Bain & Company.

Claude Certified Developer

Working with Elios

Start where you need us.

Engage us for a focused decision, a broader strategy, or support through delivery. We agree the scope and responsibilities around your needs.

  • Resolve a strategic decision

    Get an independent recommendation on a consequential AI decision, with the business and technical tradeoffs made explicit.

  • Set the direction

    Develop an AI strategy and roadmap that connect business priorities to organizational change, technology direction, and accountable execution.

  • Carry the strategy into delivery

    Act with your own team, add Deployed Specialists under your direction, or engage an Elios-led Embedded Team. Agree delivery responsibilities, operating ownership, and adoption support before work begins.

Strategy consulting stands on its own. Your team can act on the recommendations, with implementation support available if needed.

Explore how we engage →Explore the AI Journey →

Let’s work through your next decision.

Tell us what you want to improve and what is getting in the way. We’ll help you shape the next step.

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1 Conversion to full-time may be available on certain engagements, subject to a separate written agreement, eligibility and applicable terms. Elios does not guarantee conversion.

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