Find the first portco wins
Deploy into one or two companies, quantify workflow or product ROI, and use the results to decide where a portfolio playbook should expand next.
See PE fit →EMBEDDED AI OPERATOR
AE embeds a senior AI operator with your team to identify, prioritize, build, and test high-value automations and new AI-native product opportunities. Production results in weeks, not quarters.
Includes discovery, opportunity mapping, automation and prototype buildout, deployment, documentation, stakeholder alignment, and roadmap development. You keep everything we build.
START HERE IF
The operator is AE's fastest front door: one senior practitioner, embedded in the real work, finding where AI can create value now across operations, product surfaces, and new revenue opportunities. It is built for teams that need evidence before they fund a larger AI program.
Deploy into one or two companies, quantify workflow or product ROI, and use the results to decide where a portfolio playbook should expand next.
See PE fit →Start with back-office, document, reporting, and customer workflows where recovered hours, error reduction, or cost savings can be measured quickly, then surface the larger product and revenue opportunities behind them.
See mid-market fit →Identify new product capabilities, service tiers, customer experiences, or revenue surfaces that were not practical before AI, then test the first version with real users or operators.
See product-surface strategy →WHAT YOU GET
Impact-driven workflow automations or product-surface prototypes shipped continuously. Things people at your org can actually use, starting in the first week.
A living map of 8-15+ automation, product, and revenue opportunities with impact and effort estimates. Updated as we learn more about your systems and customers.
A practical assessment based on your actual systems, workflows, product surfaces, data, and approval processes. Where AI fits, where it doesn't, and what needs to change.
Runbooks, maintenance notes, and handoff materials for everything we build. Your team can run it without us.
THE OPENING SPRINT
The first three weeks are structured so you know quickly whether this is working. Most engagements continue past this; the sprint exists to establish direction and build confidence.
3-5 business days before Day 1.
Friday readout: what we've learned, opportunity map, proposed focus for Weeks 2-3.
Friday readout: first proof live in production + scoping memo for ongoing work.
By Week 3, the engagement is in its ongoing rhythm. Continuous shipping from the prioritized backlog, continuous documentation, continuous backlog refinement.
HOW WE WORK
AE Studio partners with those at the frontier of AI research like Anthropic and DARPA, and works on the hardest problem in the field today: getting agentic systems to work reliably inside enterprise organizations. The operator who embeds with you builds and breaks these systems for a living.
Faster system walkthroughs, interview synthesis, opportunity mapping.
Code, automations, prototypes, and documentation produced with AI and reviewed by the operator, who remains accountable for everything shipped.
Many automations and product prototypes use LLMs. We design for reliability and human oversight, and we're explicit about where AI fits.
WHAT WE NEED FROM YOU
A decision-maker available ~15 min/day, empowered to approve scope and access without multi-week cycles.
Accounts, credentials, and API access provisioned before Day 1 where possible, within 24 hours thereafter.
Introductions to the people whose work, product surface, or customer experience is being changed and the domain experts who make the work correct.
When we propose building or testing something, we need a yes or no. Flag approval bottlenecks in Week 0.
EXPLORE MORE
LET'S TALK
We'll bring the team that ships.