Now accepting Q3 engagements
AI Enablement & Consulting
Put AI to work across
people, tools, and process.
We make AI part of how your team works, and build the custom systems when you need them.
Why SapienEx
Most AI spend stalls as a pilot. The tool works, but the team never changes how it works. We close that gap with the training, guardrails, and workflows that make AI part of how your business runs, owned by your people. And because we ship production AI ourselves, we teach from real systems, not slides.
What we do
For teams that need to use AI well
Role-based training, a governed tool stack, and the first working automations, installed so the capability is yours, not ours.
For when a system needs to exist
Our engineers ship the production systems, automations, and integrations, then hand them to your team to run.
For a senior AI hand on the wheel
Ongoing strategy, governance, and a roadmap that keeps capability compounding, without a full-time hire.
Use cases
Every engagement starts with one hour mapping how you actually work. Then we do three things: automate what's repetitive, build flows that weren't possible before, and clear the bottleneck that's slowing you down.
Outbound
Multichannel LinkedIn and email sequences with genuine per-prospect personalization. Every message reviewed before it sends. Run on our own platform, Bavlio.
Automation
Operational processes that used to occupy a full team, from data entry to enrichment to reporting, rebuilt as automated pipelines that run themselves.
Custom build
Bespoke software built to how you already work, instead of bending your process to fit off-the-shelf SaaS. Not a thin wrapper over a chatbot.
Agents
Internal copilots and customer-facing agents grounded in your own knowledge, with guardrails on what they can see and do.
Second brain
A wearable that captures, transcribes, and briefs you before every conversation, on infrastructure you own. See the pendant below.
Enablement
We map exactly which AI tools your team should adopt, where, and how, so the entire org moves, not just one champion.
What we built
We white-glove a recording pendant and the capture system behind it. Audio streams to your private server, gets transcribed and indexed, and is queryable in seconds. Built for operators who carry context across many meetings: founders, consultants, and fractional executives.
Audio streams to a server you own. Nothing leaves your control.
A wearable pendant records continuously over Bluetooth.
Speaker diarization separates you from everyone else, automatically.
Every word becomes queryable, stored on infrastructure you own.
Before each meeting, it surfaces open items, commitments, and last context.
How it works
We plan the handoff from day one, with a focused path from "where do we start" to a team that finds the next use case without us. No six-month discovery.
An AI Readiness Assessment maps where AI creates the most leverage and what's safe to do first. You leave with a prioritized roadmap, whether or not you work with us next.
We stand up capability in your two or three highest-leverage areas: hands-on training, the right tools wired up with guardrails, and the first automations running.
Champions, documentation, and a safe-use policy so the new way of working outlasts us, and your team owns it.
Your team keeps finding the next use case. Stay fully self-sufficient, or keep us on tap with fractional AI leadership.
Who you work with
Engineering and research leaders from Amazon, Capital One, and OpenAI.
Founder & Technical Lead
Builds and ships production AI systems end to end. Creator of Bavlio and BaviMail. Full-stack engineering and applied ML.
Advisor · Scale & Operations
Scaled a company from $1M to $8M ARR as fractional CTO. Principal Associate Software Engineer at Capital One.
Advisor · Engineering
Software engineer at Amazon. 4.0 GPA from the University of Toronto.
Advisor · AI Research
Latest Thinking
Common Questions
AI enablement is the work of making your whole organization able to use AI well across your people, your tools, and your processes. Instead of buying a tool and hoping it sticks, we install role-based training, a governed tool stack, and repeatable workflows, then leave your team able to find the next use case without us.
Most AI spending fails on adoption, not technology. The tools work, but teams don't change how they operate. We close that gap: we train your people, set the guardrails, and build the first working automations, with measurement so you can see the impact.
Yes, it's a core part of what we do. When AI is genuinely the answer, our engineers ship production systems, automations, and integrations (including HubSpot Breeze agents) and hand them back to your team. Because we build, we can show your people what good looks like, not just describe it.
We start with a fixed-scope AI Readiness Assessment that maps where AI creates the most leverage and what's safe to do. From there, an Enablement Sprint installs capability in your highest-leverage areas, and optional fractional AI leadership keeps it compounding. No six-month discovery phases.
Agencies, retail and hospitality, professional services, e-commerce, logistics, and sales teams. The common thread is operators who need to move now and want AI capability that outlasts a single project.
