PRACTITIONER-LED

AI Strategy Consulting

We help you decide where AI belongs in your business, how teams should use it, and what needs to change to deliver business value.

Talk with us about your AI strategy

AI Strategy Leadership

Ex Bain. Ex Accenture.

Matthew Groff

Jose Campos

View leadership experience

What you get

Your company's needs shape the engagement. We focus on the advice and deliverables that help your team turn AI adoption into business value.

Examples of advice

Guidance on AI strategy and adoption, technology stack and architecture recommendations, or answers to specific questions about AI working practices, agents, skills, connectors, security, and cost.

Examples of deliverables

That could take the form of a recommendation document, an AI roadmap, a prioritized backlog, a decision framework, or an executive report, with a shared delivery hub when useful.

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

OUR ADVICE IN PRACTICE

Choosing AI models around business needs

For an enterprise software company.

The decision: Which models should power the company's AI agents?
Our work: A framework comparing options against real workflows, data-security requirements, quality, response time, and total cost.
What the team gets: A repeatable way to decide when additional model capability is worth paying for and when to revisit the choice as models change.

AI Strategy Leadership

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 leads technology and engineering at Elios, combining AI strategy, architecture, and hands-on delivery. He works with business and technology leaders to evaluate options, shape roadmaps, and build the systems that put those decisions into practice.

Previously Principal AI Engineer at Umbrage, acquired by Bain & Company, he managed engineers, led delivery, trained colleagues in AI tools, and wrote AI policy. His earlier work includes development and consulting at Accenture. He writes about AI agents, software engineering, and engineering leadership at Groff.dev.

Credential: Claude Certified Architect

Matthew Groff on LinkedIn Engineering writing at Groff.dev

Jose Campos

Campos leads product strategy and client solutions at Elios. He works directly with executives and functional leaders on product direction, business priorities, and team design, from defining the problem through overseeing delivery.

As VP of Product at Umbrage, acquired by Bain & Company, he led product strategy for enterprise and high-growth clients and scaled the product management organization. His experience spans healthcare, retail, energy, and commodities, following more than seven years advising on enterprise systems and business transformation at Accenture.

Credential: Claude Certified Developer

Jose Campos on LinkedIn

What we advise on

Strategy, roadmaps & team design

Priorities, dependencies, and the capabilities your team needs to deliver. What to tackle first, what can wait, and where additional expertise would help.

Workflow adoption & AI fluency

How people use AI in their work, build reusable practices, and judge the quality of the results. Guidance for business teams as well as engineers.

Technology stack & architecture

Recommendations on models, frameworks, platforms, and integrations. We weigh the tradeoffs and what you can reuse from the systems you already have.

AI-assisted software delivery

SDLC practices for research, planning, implementation, and review: coding tools, repository instructions, quality checks, and human ownership of the work.

Agents, skills & harness engineering

How to structure agent instructions, context, reusable skills, tools, evaluations, and approvals. How MCP connectors should expose business operations and data.

Security, governance & cost

Data access and permissions, model-selection tradeoffs, usage visibility, and cost controls. Recommendations that account for how your business operates.

How we work

We work with your team to see how work gets done and agree what improvement would mean for the business. We identify the changes that matter, assess where AI can help, and weigh the tradeoffs before recommending a path forward.

We combine strategy, product, engineering, and AI experience with your team's knowledge of the business. When additional industry expertise is needed, our specialist network can help bring it in.

PARTNER NETWORKS

We partner with the leading AI labs.

Elios is part of the OpenAI Partner Network and Anthropic's Claude Partner Network.

That context complements our hands-on experience deploying AI inside enterprise workflows, systems, and teams.

Talk with us about your AI strategy.

We start with a conversation about the decisions you need to make and the work you want to improve. From there, we agree on a focused scope and the recommendations or deliverables that would be useful to your team.

Talk with Elios

For implementation support, explore Deployed Specialists, AI Enablement Lab, and Pods & Projects.