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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, compare the buyer's guides, or talk to us.

Who is Foundry Solutions?

Foundry Solutions is an AI consulting and delivery firm for companies of every size, from startups to enterprises. We design and build production AI through the working model that fits: we build in your environment on the systems you already run, we build on our infrastructure and make it available to you, or we guide and unblock your team as they build. Then we run it with you, or your team takes it over. We are platform-agnostic and foundations-first, and engagements start with a free conversation. Founded in 2026 by operators from the leading CRM and RevOps platform and a large-scale fintech.

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.

Seven questions to ask before you hire an AI consultant →

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 first conversation to find the highest-leverage opportunity, a paid engagement that leaves you with a starting AI Playbook, and builds priced to the value they create, so you add value one proven step at a time.

Should you hire an AI consultant or build in-house? →

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

Foundry now folds AI strategy and planning into a paid engagement, which starts at $2,500. You work with our experts and leave with a starting AI Playbook: 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.

What an AI strategy roadmap costs, and what is in it →

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 transformation preview, a paid engagement from $2,500 that leaves you with a starting AI Playbook, 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 much AI discovery costs, and what drives the price →

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 does this as part of a paid engagement with our experts, and the first conversation is free.

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 a good starting point because it replaces guesswork with a clear read on where you stand and what to do first. At Foundry Solutions it is part of the paid engagement, which adds benchmarks and a starting AI Playbook.

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 to build an agentic organization, step by step →

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

Start with an honest read on where you stand 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: start with a free conversation or transformation preview, engage from $2,500 for a starting AI Playbook, 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 we build an agentic platform with your experts →

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.

The ROI tree: how to measure AI ROI immediately →

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.

Oversight and governance at Foundry →

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.

Education and fluency at Foundry →

What happens to my AI system if the model it runs on is retired or cancelled?

If the system is built around one model, a retirement or a cancelled release means a rebuild on someone else's schedule. If the model is a setting, you choose a replacement, run the evals on your real work to see what changes, and switch once it clears the bar. Foundry Solutions builds this way, so a model release is news, not a rebuild.

Why we build so the model is a setting, not the foundation →

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.

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