About Us
Practical AI Builders for Small Business Workflows
Founder-led AI implementation for small teams that need one painful workflow fixed safely, clearly, and without enterprise-consulting overhead.
Built for the messy middle of AI adoption
Most small businesses do not need a year-long AI transformation program. They need a trusted builder to look at the workflow, name the risks, and ship a useful first system their team can understand.
BaristaLabs helps owners and operators turn one painful process into a safe, scoped AI pilot. That might mean customer intake, route planning, document review, content production, reporting, or the handoff between people and software that keeps breaking.
The work stays founder-led because trust matters. You get direct access to the senior people making architecture and risk decisions, not a generic discovery call followed by a handoff to a rotating delivery team.
How we work
- 48-hour discovery to identify the workflow, users, risks, and fastest safe pilot.
- Founder-led architecture and plain-language scope before anything is built.
- Small implementation cycles that target 3-6 week delivery instead of open-ended consulting.
- Risk review, human approval points, documentation, and handoff built into the work.
Operating Principles You Can Verify
These are not wall posters. They are the decisions we expect a small-business buyer to see in discovery, delivery, and handoff.
Practical before flashy
We start with the workflow that is costing time, money, or trust today. If a simpler rule, script, or dashboard solves it better than an agent, we say so.
Direct senior access
Small-business clients work directly with the founder and senior specialists making architecture, risk, and implementation decisions.
Ship small and measure
A 48-hour discovery pass turns one painful workflow into a scoped pilot. Most builds target a 3-6 week path to something your team can actually use.
Human approval for risky actions
We design AI around clear review points, permissions, and fallbacks so automations support the people accountable for the outcome.
Protect the messy data
Client documents, customer records, and operational edge cases are treated as project inputs to secure and respect, not loose material for experiments.
Document the handoff
Every engagement should leave your team with plain-language notes, ownership clarity, and a maintainable path after launch.
Proof from real workflow problems
The best about-page claim is evidence. These case studies show how we scope small teams around practical outcomes, not vague AI demos.
Website + app launch path
CartWheels transportation workflow
Replaced a stalled vendor handoff with customer-facing booking, rider communication, and a clearer operational launch path.
Read case studyWeekly promo workflow
Stilson's generative video system
Turned weekly show promotion into a repeatable AI-assisted content process with public samples and human review checkpoints.
Read case studyZero downtime AKS upgrade
National certification board infrastructure
Cleared Kubernetes upgrade blockers, expanded network capacity, and restored a vendor-supported version path for a regulated organization.
Read case studyWho you work with
Small teams choose BaristaLabs when they want senior judgment, implementation depth, and clear communication in the same room.
Sean McLellan
Lead Architect & Founder
Sean leads architecture and implementation for BaristaLabs clients. He brings more than two decades of software architecture experience to small-business AI projects, translating messy workflows into scoped systems with clear risk reviews, practical integrations, and maintainable handoffs. Clients work with him directly during discovery and build decisions instead of being passed through layers of account management.
Stilson Greene
Principal Creative Consultant
Stilson helps BaristaLabs keep AI work grounded in the people who will use it. His creative strategy and client-experience background is especially useful when a project needs clear messaging, humane interfaces, or content workflows that feel natural for customers and staff.
WebsiteProof from shipped work
Public examples from shipped BaristaLabs work: owner-editable sites, repeatable promo media, transportation workflows, and infrastructure constraints.
Implementation strengths
We choose the tools around the workflow: agents where useful, secure integrations where necessary, and documentation so your team can keep operating after launch.
Workflow Automation
AI Agents & LLMs
Secure Data Pipelines
Cloud Infrastructure
API Integrations
Human-Centered UX
Where to Find Us
Based in the heart of Leesburg, Virginia, serving businesses across the region and beyond.
BaristaLabs
We're based in Leesburg, Virginia and work with local, regional, and remote teams that need practical AI help from a senior implementation partner.
hello@baristalabs.io
Service Area
Northern Virginia, Washington DC Metro Area, and remote clients worldwide
Bring one workflow to a 20-minute assessment
Tell us where work is slow, risky, or stuck between systems. We'll help you decide whether AI is the right next step and what a safe pilot should include.