AI TRANSFORMATION
Becoming AI-native touches everything: data, workflows, roles, tools, culture. You can tackle these as separate projects, or you can work with a team that's done this before and will take you through the full journey. We bring the playbooks, embed the people, ship the systems, and stay with you until your organization runs it on its own.
THE THESIS
Most companies start AI adoption as a collection of experiments: a readiness assessment here, an automation sprint there, a training workshop, maybe some data cleanup. Each one is valuable on its own. But without someone holding the full picture, the pieces don't compound. Learnings from one project don't flow into the next. Momentum stalls between engagements.
The transformation engagement is the alternative. One team that understands your organization, carries context across every workstream, and guides you through the full arc: from assessment through implementation through handoff. We've codified what this journey looks like across dozens of companies, and we've applied the same playbooks to our own organization.
THE APPROACH
We bring frameworks we've developed and tested, and we help you apply them to your specific situation. Our playbooks come with the engineering team that ships the systems.
We assess your systems, data, workflows, knowledge gaps, and team capabilities. We rank the opportunities by impact, effort, and data readiness. You get a clear picture of where you are and a prioritized map of where to go.
We redesign workflows around what AI now makes possible. We help leadership think through how roles evolve, where decision authority shifts, and how to make the transition without losing your best people. This is the organizational work that most AI vendors skip entirely.
Senior practitioners embed with your team and ship production automations from week one. We wire up data sources, build workflows, deploy intelligence systems, and document everything for your team to own and operate.
We build an intelligence system tailored to your organization: it ingests data from your tools, builds institutional knowledge over time, and produces actionable recommendations that improve as it learns. You own it. You run it. It gets smarter every week.
Hands-on training for your teams: how to work with agents, how to evaluate AI output, how to identify automation opportunities in their own workflows. Leadership coaching on setting standards, building advocacy, and managing through rapid change.
What works in one department informs the next. Learnings compound across your organization. We help you build the internal playbook and capability so your teams can continue the transformation without us.
HOW IT UNFOLDS
We don't start with a six-month roadmap. We start with a focused engagement, prove value quickly, and expand as the pattern becomes clear. Most transformation engagements follow a rhythm like this.
Readiness assessment, opportunity mapping, stakeholder alignment. Ship the first automations into production. Build the business case for expanding the engagement.
Workflow redesign for the highest-value processes. Begin connecting data sources and building the intelligence layer. Training workshops for the teams affected by the changes. 2–4 production automations running, with a growing backlog.
The intelligence layer starts generating its own insights. Cross-department patterns emerge. Recommendations improve based on tracked outcomes. Expansion to additional departments or business units based on what's working. Internal teams take over more of the day-to-day operation.
WHAT MAKES THIS DIFFERENT
Most consulting engagements produce a report. Most software deployments produce a tool. This engagement produces both: the organizational clarity and the shipped systems. The same team that maps the opportunity builds the first version.
AE runs intelligence loops across our own projects, deals, and people. We've hit the edge cases, debugged the integration quirks, and learned which approaches work at scale. Every improvement we make for a client improves the system for everyone, including us.
The intelligence layer, the automations, the documentation, the playbooks as applied to your company. We build it for you to run. The goal is to make your organization capable, then step back. Some AE frameworks inform the architecture (we bring background expertise from years of doing this), but there's no dependency. You keep it all.
AE has been building production AI since 2016. ~150 senior professionals. Frontier alignment research alongside client work, with collaborators including DARPA and Anthropic. We understand the models at a level that informs every recommendation and every system we build.
WHERE TO START
LET'S TALK
We'll bring the team that ships.
