The AI Foundry designs and deploys production-grade AI systems for mid-market and enterprise businesses — agentic architectures, MCP integrations, and transformation programs that create durable competitive advantage.
5×
Average productivity uplift for teams after transformation
90 days
Time to first production AI deployment, not just a pilot deck
100%
Vendor-agnostic. We architect for your stack, not ours
Our expertise spans the full AI solution architecture stack — from agentic system design to enterprise-wide deployment and change management.
Design agentic loops, orchestrate multi-agent systems with coordinator-subagent patterns, implement task decomposition, and manage session state.
Configure CLAUDE.md hierarchies, create custom slash commands, apply path-specific rules, and integrate into CI/CD pipelines.
Design prompts with explicit criteria, apply few-shot techniques, enforce structured output with JSON schemas, and implement validation loops.
Design effective tool interfaces with clear boundaries, implement structured error responses, integrate MCP servers, and distribute tools across agents.
Preserve critical information across long interactions, design escalation patterns, manage error propagation, and handle uncertainty with confidence calibration.
Roadmapping, AI readiness assessments, organizational change management, ROI modeling, and executive alignment to move AI from pilot to enterprise-wide adoption.
Four phases that take you from AI-curious to AI-operational — with real deliverables at every step, not slide decks.
01
DISCOVER
We audit your stack, workflows, and data infrastructure to identify the highest-ROI AI opportunities specific to your business model.
2–3 weeks02
DESIGN
We design agentic systems, tool interfaces, and MCP integrations — blueprints built for your environment, not a generic template.
3–4 weeks03
DEPLOY
We build, test, and ship to production. First real deployment within 90 days. We don't leave you holding a prototype.
6–8 weeks04
SCALE
We train your team, document systems, and build internal capability — so you own the outcome and don't need us indefinitely.
OngoingThey didn’t arrive with a pre-built AI slide deck. They understood how we actually operate, designed a system that fit our environment, and had us live in production in 11 weeks. That’s the difference.
Jessica M.
VP Operations · Mid-market Manufacturing
The AI Foundry was built by operators who got tired of watching businesses get sold AI strategies that never shipped.
We've spent years inside enterprise environments — managing ERP implementations, designing data architectures, and building software products from scratch. We know what it takes to go from idea to production in organizations with real constraints: legacy systems, change-resistant teams, compliance requirements, and boards that want ROI, not research papers.
We founded The AI Foundry because we saw a gap: companies were drowning in AI hype with no clear path to value. Our work is grounded in the actual mechanics of how AI systems get built and deployed — agentic orchestration, MCP server design, Claude Code workflows, and structured prompt engineering — not just frameworks and slide decks.
We work with a focused set of mid-market and enterprise clients at a time, which means you get senior-level attention on every engagement, not a junior team running a playbook.
We measure success by what ships and what changes in your business — not by the quality of our deliverable documents.
We have no financial incentive to recommend any particular AI platform, tool, or vendor. Our only incentive is to solve your problem.
Every engagement ends with your team more capable than when we started. We document everything, train everyone, and hand over the keys.
We'll tell you when AI isn't the right tool. Earning trust matters more to us than closing a deal.
We focus on mid-market and enterprise companies — typically $10M to $500M in annual revenue. You're large enough to have real operational complexity, but nimble enough to actually move. That's our sweet spot.
No. Most clients come to us with a vague sense that AI should be doing more for their business but no clear roadmap. Our Discovery phase is specifically designed to build that foundation from scratch.
We have deep expertise building with Claude and Anthropic's tooling — including Claude Code, MCP servers, and the Anthropic API. However, we're vendor-agnostic and will recommend the right tool for your context, which may include OpenAI, Google, or open-source models depending on your requirements.
Engagements vary based on scope. A standalone AI Readiness Assessment typically runs $8K–$15K. Full transformation programs from Discovery through production deployment range from $40K–$120K depending on complexity and duration. We offer fixed-fee scoping so there are no surprises.
Large firms sell AI transformation at enterprise scale with enterprise price tags and enterprise timelines. We move faster, cost less, and you work directly with the people who designed your system — not an account manager relaying messages to an offshore team.
It means a real AI system — not a demo, not a prototype, not a proof-of-concept — running in your environment, handling real workloads, used by real people. We scope engagements to make that timeline achievable from day one.
Yes. We offer retainer-based support for clients who want ongoing optimization, monitoring, and expansion of their AI systems. Retainers are scoped monthly and can be paused or adjusted as your needs change.
No buzzword bingo, no 200-page strategy reports that collect dust. A clear-eyed assessment of where AI moves the needle for your business — and a concrete plan to get there.