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What we do

Services

We work with small and mid-sized teams that have real operational problems and want AI that actually holds up in the real world. Our work spans discovery, custom builds, and ongoing advisory — and every engagement starts with understanding your specific situation before we recommend anything.

Strategic AI Exploration

For teams that know AI should be doing more for them — but aren't sure where to start, or whether the investment will pay off.

We map your operations, surface the highest-leverage opportunities, and build a working proof-of-concept before you commit to anything larger. Most teams come in uncertain and leave with a concrete picture of what to build and why.

What you get

Operational Audit A clear map of where your team's time is going and which workflows are best suited for AI intervention.
Prioritized Opportunities A ranked list of specific AI opportunities, assessed by impact, feasibility, and speed to value.
Working Prototype At least one working solution built and tested with your team during the engagement. You use it before we leave.
Implementation Roadmap A sequenced plan for what to build next, written for operators — not engineers.

Workflow Automation

For teams with specific workflows draining time and attention — and ready to automate them properly, not just bolt on a tool.

We design the full system, including edge cases and failure modes most tools ignore. That means understanding your inputs, outputs, exceptions, and handoffs before we write a line of code — and staying available after deployment when real usage reveals what the demo didn't.

What you get

Workflow Mapping A detailed breakdown of the targeted process — inputs, outputs, exceptions, and handoffs — before we build anything.
Automated System A deployed, tested automation built for your specific tools and data. We handle the edge cases, not just the happy path.
Documentation & Training Plain-language documentation your team can actually use, plus a live walkthrough with the people who'll own the system day-to-day.
30-Day Support Window We stay available for the first month after deployment to tune, fix, and adjust based on what real usage reveals.

Custom Agent Systems

For teams whose workflows are too specific, complex, or high-stakes for off-the-shelf tools.

We design and build AI agent systems from the ground up — scoped to your exact business logic, integrated with your existing stack, and built to handle real-world complexity without undue security risk. This is not a template. It's built for your domain.

What you get

Systems Design A full architecture for the agent — including data flows, decision logic, escalation paths, and integration points — reviewed with your team before a line of code is written.
Prototype → Production We build iteratively: a working prototype first, refined through real use, then hardened into a production system. No big-bang launches.
Integration & Testing End-to-end integration with your existing tools and data, with real-world testing — including edge cases and failure scenarios your team identifies.
Long-tail Support Agent systems require ongoing care. We offer continued support after deployment to handle model changes, edge cases, and capability expansions.

Advisory Consulting

For teams with internal technical capacity who want a senior outside perspective — on strategy, architecture, vendor selection, or building your team's AI skills.

We work on a retainer basis, functioning as a consistent thinking partner rather than a project vendor. You get direct access to Clay and Dylan — not a junior associate who relays questions.

What you get

Monthly Sessions Regular working sessions (not status calls) focused on the decisions your team is actually wrestling with.
AI Upskilling A structured program for getting your team leveled up on AI, from high-level understanding to advanced workflows and agents.
Async Access Direct access to Clay and Dylan via email and messaging for time-sensitive questions between sessions.
Architecture Reviews Honest, detailed feedback on systems your team is building — including the risks we'd flag if it were our own project.
Vendor Evaluation Help evaluating AI tools, platforms, and vendors without a conflict of interest.

How to start

Engagement options

Three ways to work with us, depending on where you are and how much you're ready to commit. When in doubt, Option A is the lowest-risk entry point — it's designed to answer the question of what to build before you commit to building it.

Option A

Diagnostic Sprint

Right for teams who need to prove value before committing to a larger build. Fixed scope, fixed fee, clear deliverables. You'll know exactly what to do next — and have a working prototype to show for it.

  • 2–3 weeks
  • Fixed scope and fee

Option B

Full Deployment

Right for teams who've identified the problem and are ready to build. We own the full arc — from initial audit through production deployment and the first month of real-world use.

  • 6–10 weeks
  • Includes 30-day post-launch support

Option C

Ongoing Partnership

Right for teams who want a consistent senior presence as their AI capability grows over time — building, iterating, and advising rather than running one-off projects.

  • Monthly retainer
  • Priority availability + async access

Not sure which fits?

Tell us what you're trying to solve.

We'll tell you honestly whether we're the right fit, and if so, which engagement makes the most sense. No sales pressure — just a direct conversation.

Talk to a Human →