SAND
BERN

We design 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 transitions, and the inevitable friction of daily operations.

The Problem

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 fluency. But fluency earned without effort is an illusion—it fades the moment conditions change.

Why “Outfitters”

The right tools. The judgment to use them.

An outfitter prepares explorers for terrain they cannot yet see—providing the right tools, yes, but more importantly, the judgment 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.

Select Terrain

The Friction

Due diligence requires synthesizing thousands of pages of unstructured data from dataroom drops overnight.

SandBern Blueprint

A custom retrieval agent that automatically ingested new documents, indexed key financial covenants, and allowed associates to query specific clauses instantly, cutting DD time by 40%.

The SandBern Model

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

Dashboards, review cadences, escalation protocols, clear ownership. The goal is an organization that would feel the absence.

What We Build

Systems, not slideware.

Internal research copilots that retrieve and synthesize institutional knowledge on demand

Monitoring agents that watch information streams and surface what matters

Decision-support systems that organize tradeoffs for human judgment

Workflow automations that eliminate repetitive cognitive labor

Structured retrieval systems that turn scattered documents into accessible memory

Training programs embedded into daily work—not one-off workshops that evaporate

How We Measure

We track outcomes, not outputs.

If performance does not demonstrably improve, the system must change. We do not declare success by deploying software. We declare success when the organization is measurably better at its job.

Time to DecisionQuestion to answer, measured
Error RateBefore and after tracking
Retrieval LatencyGap between asking and knowing
Adoption PersistenceStill using it at day 90?
Get Started

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