The SMB Agent Baseline
Five agents. Your existing drive.
Monday morning briefed before you check email.
A two-week sprint that delivers the morning-update outcome every small business asks for.
You've been sold AI tools, AI strategies, and AI roadmaps. None of them changed what happens at 8 AM on Monday. The SMB Agent Baseline is the system that does.
The Problem
It feels like a willpower problem.
It's not.
External
Most SMB owners are paying for at least two AI tools they don't use consistently. Every Monday morning, someone on the team is manually assembling the brief that an AI should have ready.
Internal
It feels like you should be doing more with AI. Like everyone else cracked it. Like you're falling behind. You're not. The frameworks being sold to you were built for enterprise teams with dedicated AI staff.
Philosophical
A 15-person accounting firm or a 30-person trades business deserves enterprise-grade capability. Not enterprise overhead. Not a consultant who builds something complex and leaves you a support retainer you never budgeted for.
Empathy
We built this because we needed it ourselves.
Every morning brief, every end-of-day wrap, every weekly pulse in this playbook started as a system Dave was running for his own holding company.
The filesystem memory pattern — a folder of markdown files in your own drive that every agent reads — is the same architecture that runs this business. We're not selling you a theory. We're handing you what we shipped.
Authority
Operators, not implementers of someone else's stack.
Syllogism is the partnership of David Pengelley (20+ years across enterprise software, agent systems, and live-money trading infrastructure) and Richard Webbe (production AI architecture, change management, build-vs-deploy split).
We don't build sysadmin-flavoured stacks that need someone to babysit a container. We build on the platforms your team already pays for — Cowork, Microsoft Copilot, Claude.ai Projects — using a pattern that survives a quiet week without falling apart.
The Plan
Three steps. Two weeks. Yours when we're done.
Map
We sit with your team and find the five decisions you make on repeat every week. The morning catch-up. The meeting prep. The inbox that never quite clears. The end-of-day roundup that never gets written. We find them and document them before we build anything.
Build
We configure five scheduled agents plus a memory folder in your existing drive that every agent reads. No new tools. No new logins. It runs on the platform your team already uses.
Hand back
We run a 45-minute training session with your team, leave you a one-page guide, and hand over the folder. You own it outright — every prompt, every memory file, every artifact. If you ever want to stop working with us, the system keeps running.
The goal of handover isn't that the system runs. It's that your team uses it. We stay in contact for two weeks post-launch to confirm adoption — not to maintain the system, but to adjust it if something isn't sticking.
Most baseline sprints ship in two weeks.
Without this
Another year of AI subscriptions, another quarter of your best people doing the same five tasks, another report that says “AI adoption is up” while your margins stay flat. Monday morning stays the same.
The consultants who implement heavy stacks leave. The system rots within six months. You're back to manual Monday mornings with an invoice for something that no longer runs.
With the baseline running
Monday morning you open the laptop and today is already briefed. Your calendar, your inbox priorities, your industry headlines, your open loops — one digest, under five minutes.
The week-in-review that never got written? It writes itself at 3:30 PM on Friday. The meeting prep scramble? Five minutes before the call, not thirty. The decisions that used to fall through the cracks? They're in a file in your drive, time-stamped and readable in plain English.
Your best people stop starting every day on the back foot.
Fifteen minutes is usually enough.
A 30-minute call about your week tells us if the baseline fits. If it doesn't, we'll say so.