ABOUT US

AI consulting built on delivery, not decks

We exist to help small–mid sized teams turn AI from a strategic priority into working systems—without the overhead of enterprise AI programs.

Why this firm exists

Most AI consulting follows the same pattern: months of discovery, a comprehensive strategy deck, and a handshake. Then you're on your own to figure out implementation.

That model works for enterprises with dedicated AI budgets and teams. It doesn't work for a 50-person company trying to use AI without hiring five data scientists.

We started this firm after watching too many good teams struggle with AI—not because the technology was hard, but because the process was broken. They needed:

  • Clear constraints — honest conversations about budget, timelines, and what's actually feasible
  • Working systems — not prototypes or "proof of concepts," but production-ready workflows
  • Guardrails before scale — lightweight risk controls that don't paralyze execution

That's what we do. We help you identify high-impact AI opportunities, run focused pilots, and ship working systems—without building an AI department or betting the company.

How we work

The principles that guide every engagement

Clarity before complexity

We start with clear problems, constraints, and goals—not buzzwords. Before picking tools or models, we get clear on what you're trying to fix and what can't change (budget, tools, approvals, compliance).

Outcomes over outputs

Success is measured in hours saved, errors reduced, or projects shipped—not "models deployed" or "strategy documents delivered." If we can't define measurable success upfront, we don't start.

Ship small, learn fast

We run 4–6 week pilots with clear go/no-go milestones. If something isn't working, we help you pivot or stop early—before wasting months of effort and budget.

Build for your team, not ours

We don't create dependencies. Every engagement ends with documentation, training, and a clear handoff—so your team can run and improve the work without us.

Guardrails, not gatekeepers

AI projects need lightweight risk controls (data policies, review workflows, accountability), but not heavyweight governance that slows execution. We design guardrails that protect without paralysis.

Plain language, real examples

No AI jargon or hand-waving. We communicate in plain language and back claims with concrete examples, numbers, and artifacts—so you can make decisions confidently.

Background

Where this approach comes from

This firm is built on 10+ years of experience shipping software, running operations, and managing projects in fast-moving environments—B2B SaaS, professional services, and growth-stage startups.

Not a data scientist. Not a PhD researcher. We come from the world of delivery, operations, and pragmatic problem-solving—which is exactly the perspective most teams need when implementing AI.

We've worked with

  • Mid-market B2B SaaS companies (20–200 employees)
  • Professional services firms adopting AI workflows
  • Operations and PMO leaders without dedicated AI teams

Our strength isn't bleeding-edge ML research—it's translating AI capabilities into practical, deployable workflows that fit real constraints.

Tools we work with

We're tool-agnostic and bias toward what you already have

AI platforms

OpenAI APIAzure OpenAIAnthropic ClaudeHuggingFaceReplicate

Project management

LinearAsanaJiraNotionAirtableMonday

Development & deployment

Next.jsPythonFastAPIVercelAWSGoogle Cloud

Data & analytics

PostgreSQLSupabaseFirebaseMetabaseRetoolTableau

Want to work together?

Book a working session to explore how we can help your team ship AI projects with measurable outcomes.

Book a Working Session