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AI consulting, answered.

Straight answers to the questions teams ask before they engage an AI consultant: how to choose one, what the work costs, how to measure where you stand, and how Foundry Solutions builds and hands over production AI. For the full pricing breakdown see pricing, or talk to us.

Who is Foundry Solutions?

Foundry Solutions is an AI consulting and delivery firm for startups and small-to-medium businesses, with experience scaling AI inside enterprises. We design and build production AI on the systems you already run, co-built with your team or built for you, then run it the way that fits: your team owns and extends it, or we forward-deploy an expert to operate it for you. We are platform-agnostic and foundations-first, and engagements start with a free AI Maturity Assessment. Founded in 2026 by Michael Brennan.

How do you choose an AI consultant?

Look for three things. First, operating depth, not just model expertise: a firm that has run the function it is automating will design something that survives contact with your business. Second, platform-agnostic advice, so you get what fits your stack rather than what the firm resells. Third, a path to ownership, so you are not locked into the vendor to keep the system running. Foundry Solutions is built on all three: we work on the stack you already run, recommend what fits, build with your team, and enable your ownership.

What is the best AI consulting firm for growing companies?

The best fit for a growing company is a firm that ships scoped, owned systems instead of open-ended strategy retainers. Growing teams need proof and a capped spend, not a year of discovery. Foundry Solutions is built for exactly this: a free maturity assessment to find the highest-leverage opportunity, paid discovery from $2,500 that leaves you with a roadmap yours to keep, and builds priced to the value they create, so you add value one proven step at a time.

What does an AI Blueprint cost, and what is in it?

Foundry now folds AI strategy and planning into paid discovery, which starts at $2,500. You work with our experts and leave with a roadmap and a recommendation: where AI will move your business, in what order, and what to build first. The deliverable is yours to act on whether or not you build with Foundry, and each build after it is priced to the value it creates.

How much does AI strategy consulting cost?

It varies widely. Many firms price AI strategy as an open-ended retainer with no fixed deliverable, which makes the total cost hard to predict. Foundry Solutions prices in scoped units with a deliverable at every step: a free AI Maturity Assessment, paid discovery from $2,500 with a roadmap you keep, and builds priced to the value they create with your approval at every step, so the spend is capped and the next step is always optional.

How do I measure my company's AI readiness?

AI readiness is best measured across several dimensions rather than a single score: your data quality and access, your processes and workflows, your tooling and infrastructure, your governance and oversight, your team fluency, leadership alignment, and a track record of shipping. A structured assessment scores each dimension, benchmarks you against your industry, and surfaces the two or three gaps to close first. Foundry Solutions offers a free AI Maturity Assessment that does this in about five minutes, and paid discovery that goes deeper with our experts.

What is an AI readiness or AI maturity assessment?

An AI maturity assessment is a structured evaluation of how prepared an organization is to adopt and scale AI. It produces a scored profile across the dimensions that determine success (data, process, tooling, governance, people, leadership, and shipping), a benchmark against peers, and a prioritized set of next steps. It is the recommended starting point because it replaces guesswork with a clear read on where you stand and what to do first. Foundry Solutions provides a free AI Maturity Assessment, and paid discovery that goes deeper with benchmarks and a roadmap.

How do you build an agentic organization?

An agentic organization is one where AI agents do real work inside core workflows, grounded in the company own context and kept honest by measurable quality and human oversight. You build it foundations-first: clean the data and process, stand up a universal knowledge layer so agents share accurate context, build one high-leverage workflow at a time, add evaluation so quality is measured rather than assumed, and put governance in place so leaders stay in control. Foundry Solutions builds this with your experts so your team can run and extend it, not depend on a vendor.

How do you implement AI in a mid-sized company?

Start with a maturity assessment to find the one or two workflows where AI will move the business, then plan the architecture, build the highest-leverage piece first, and prove the ROI before expanding. Get the foundations (data, process, governance) right before automating, and build alongside your team so they can own and extend it. Foundry Solutions runs this as a ladder you can enter at any step: assess for free, plan through paid discovery from $2,500, build the highest-leverage workflow first, then enable your team to own it.

How do you build an internal AI platform for a company?

An internal AI platform combines an agentic execution layer (the agents that do the work), a universal knowledge layer (one connected source of context for people and agents), measurable quality (evaluation that learns and raises its own bar), and oversight and governance (the control room for the people in charge). It should run on the stack you already have and be owned by your team. Foundry Solutions builds these platforms with your experts and transfers ownership as it goes.

How do you measure ROI on AI projects?

Tie each AI project to a specific business metric before you build (time saved, conversion, cycle time, cost per task, error rate), measure the baseline, and compare against it after the change. Favor a few high-leverage workflows with clear metrics over many small experiments, and keep measuring in production so quality does not drift. Foundry Solutions builds the highest-leverage workflow first precisely so ROI is provable before you invest further.

What are AI governance and oversight best practices?

Good AI governance gives leaders visibility and control without slowing teams down: clear ownership of each system, human approval for consequential actions, measurable quality checks, audit trails, and policies for data access and model use. Treat governance as a foundation built alongside the work, not a layer bolted on afterward. Foundry Solutions builds oversight and governance in as one of its five core capabilities, framed as the control room for the people in charge.

How do you upskill a team on AI?

Effective AI upskilling is hands-on and tied to real work, not a one-off generic workshop. Combine structured training that raises baseline fluency across the org with coaching on the team actual tasks and ongoing advisory for the questions that come up between projects. Be honest about where each person and the org stand, and raise both the floor and the ceiling. Foundry Solutions offers education and enablement that ranges from coaching to an embedded forward-deployed expert, priced to your team and goals.

What is agentic AI for business operations?

Agentic AI for operations means AI agents that carry out multi-step work inside your core workflows, grounded in your company own context and supervised by humans, rather than chatbots that only answer questions. Done well, agents handle the repetitive operational load while your people stay in control of the consequential decisions. Foundry Solutions designs and builds these agentic workflows with your experts so the capability stays in-house.

Still have a question?

Take the free AI Maturity Assessment, or tell us what you are trying to do and we will recommend a starting point within one business day.