We build agentic AI systems and train your teams to use them effectively.
Not for a week. Not for a quarter. We build capability that survives leadership changes, model improvements, and the inevitable friction of daily operations.
Your team tried AI. It didn't stick.
A new model launches. Your team builds a proof-of-concept over a long weekend. The demo is impressive. Leadership is excited. A Slack channel is created. Adoption is declared.
Six weeks later, three people are still using it. The Slack channel is quiet. The proof-of-concept sits in a staging environment no one visits. When the next model launches, the cycle restarts from zero.
The demo felt like you were 90% of the way there, but you quickly realized that the final 10% was 90% of the actual effort.
We've seen this before; we're here to help you navigate the obstacles you only see if you've experienced them firsthand—outfitters and navigators.
The right tools. How to use them.
An outfitter prepares explorers for terrain they cannot yet see—providing the right tools, yes, but more importantly, how to use them when conditions shift.
We build agentic systems for concrete work: document intelligence across your internal knowledge, process automation for repetitive operations, data extraction from unstructured inputs, and monitoring pipelines that flag material changes in real time. That shifts your team from manual triage to high-quality judgment.
Beyond building, we make sure that your team understands how and when to use the tools at their disposal.
Select Terrain
Four steps to adaptive capability.
Find the Friction
We map your workflows. Where are decisions bottlenecked? Where does institutional knowledge live in one person's head?
Design the System
We build AI agents for retrieval, monitoring, synthesis. Humans stay responsible for judgment.
Train Through Use
Your team uses the system on real tasks from day one. We measure adoption at 30, 60, and 90 days.
Make It Adaptive
We start with the base case, then address edge cases one by one as rollout learnings come in. That is how the system becomes more adaptive over time.
Systems, not slideware.
Training programs woven into daily work—not one-off workshops. Your team learns by doing, building fluency that survives personnel and model changes.
Research copilots and decision-support systems that retrieve, synthesize, and organize institutional knowledge on demand—so your team spends time on judgment, not triage.
Monitoring agents that watch information streams around the clock and surface what matters when it matters—structured alerts routed to the right operator before anything becomes a surprise.
Workflow automations that eliminate repetitive cognitive labor before it accumulates—document pipelines, process automations, and retrieval systems that stay ahead of demand.
We track outcomes, not outputs.
Every engagement starts with a baseline. Before we write a line of code, we agree on what “better” looks like. After rollout, those same signals tell the story—at 30, 60, and 90 days. If the numbers don't move, the system changes.
Questions teams ask before we begin.
Practical answers on scope, integration, and what a durable rollout looks like in enterprise settings.
How is SandBern different from other AI consultants?
We came up through AI research and engineering, not consulting. Mike holds a CS Ph.D. with DARPA-funded work in AI systems. Alex has shipped production agents across multiple industries. We are AI experts who learned how organizations work — not the other way around.
What does our team actually need to do?
We handle all the technical architecture, building, and integration. What we need from your team is domain expertise — the context only insiders have. The more we understand your workflows, edge cases, and institutional knowledge, the better the system performs.
Can you work with our existing tools and internal systems?
Yes. We build on top of your current stack and work within your operating constraints.
What does the first conversation look like?
Free, and low-pressure. We map where the real friction is in your workflows and share our honest read on where AI can move the needle. No deck, no pitch — just a working session.
Outfit your organization.
Tell us where decisions take too long, where critical knowledge lives in one person's head, and where AI adoption has stalled. We'll respond with a diagnostic, a system design, and a structured 90-day plan.
Begin the Outfitting