At 15 people you could remember everything. At 80 you can't. The work here is replacing the human glue — the manual handoffs, the tribal knowledge, the shared mailboxes nobody owns — with proper systems. And adding the oversight layer so nothing automated runs unsupervised that shouldn't.
New hires read PDFs from 2021 and ask the same questions in Slack. Build a knowledge agent that answers from your actual current docs, with citations — so the answers are auditable and the docs stay live.
Years of policies, contracts, SOPs, and templates that nobody can find. A RAG-powered search agent surfaces the right document on the first try — and tells you when something's contradictory or outdated.
Some leads get four touches, some get one. Automate the sequence from first contact to qualified call without losing the human feel — and surface which reps actually need help versus which need pipeline.
You're pulling numbers from four systems by hand on Friday morning. That's an automation problem masquerading as a reporting problem. Wire it once, run it on a schedule, your team gets Friday back.
Before buying more licenses, find out which use cases actually return value at your company. A structured Copilot readiness assessment, no vendor pitch — an honest audit of where the ROI is, and where it isn't.
An AI triage layer routes, categorizes, and drafts responses for your team to approve — first-response time from six hours down to thirty minutes, without expanding the team. Humans still own every reply.
They were prototypes that became production. Now they fail silently and you find out from an angry client. Rebuild with proper error handling, logging, alerting, and version control — engineering, not duct tape.
You want AI in the workflow but not making decisions or sending emails on its own. Design the oversight layer first — approval gates, audit logs, human-in-the-loop — so the automation is a tool, not a liability.
A focused review of the specific bottleneck. Output is a written assessment: what to build, what to buy, what to skip, in what order. Mapped to your existing stack and the budget you actually have.
Fixed-fee implementation. Wired into your existing Microsoft 365, Entra, SharePoint, or whatever stack you're on. Tested, documented, handed off to your team with the runbooks they need to operate it.
For teams that have engineers but want a second set of eyes on the agentic / AI side. Weekly check-ins, async PR review, on-demand for incidents. Optional, not a commitment.
Every engagement ships with IaC, runbooks, and architecture docs your team can operate without me. Nothing locked behind tribal knowledge. If your engineers can't pick it up, the work isn't done.
15-to-150-person teams. Usually on the Microsoft stack — Microsoft 365, Entra ID, SharePoint, Power Platform — sometimes with a Salesforce or HubSpot layer for sales. Often professional services, healthcare-adjacent, financial services, regional firms with regulated data and real compliance posture to maintain. You have internal IT or engineering but they're already at capacity.
I'm Samuel S. The case studies in /work are mine — extraction pipelines, governance platforms, agent infrastructure for global enterprise. This lane is the same skill set sized for a smaller team and a tighter scope. Same rigor, same handoff discipline.