AI Adoption Consulting · Teams & SMBs
From "where do we start?" to AI workflows your team runs itself.
Most small teams are stuck at the same point: a few people pasting into ChatGPT, no shared practice, no idea if AI could do more — or do it cheaper and privately. I've spent 20 years leading enterprise teams through exactly this curve. Now I do it directly for teams and SMBs, in weeks, without the enterprise overhead.
FREE · 30 MINUTES · NO OBLIGATION
Every engagement moves a team one level up — and leaves them owning it.
25+ years building production systems — 16 of them running my own consulting practice, then two decades leading enterprise engineering teams through this exact AI curve, from first tooling to custom, locally-hosted LLM systems. The person who scopes your engagement is the person who does the work, in weeks, not quarters.
Consultation
Four ways in, depending on where you're stuck
01 — GETTING STARTED
Your first AI workflow, working and measured — in two weeks
For teams asking: where do we start, and is any of it real for us?
- An opportunity map of the business: where AI genuinely helps, where it's hype — in writing
- Tools and models matched to your work, budget, and privacy needs
- One or two high-value processes made measurably faster, set up with your team, not for them
You leave withA working workflow + a roadmap the team can run without me.
FIXED PRICE · TWO WEEKS
02 — NEXT LEVEL
From pasting into chat windows to agents doing the work
For teams already using AI but stuck at the copy-paste stage.
- Your team moved onto real tooling: desktop apps, IDE integrations, and CLI agents
- CLI tools used in new ways — agents scripted into pipelines and batch work, not just editors
- Agent workflows synchronized across teams and users, so one person's improvements lift everyone
You leave withAgentic tooling wired into your existing workflow + the shared config that keeps teams in sync.
03 — BI & DOCUMENTATION
Ask your data questions in plain language
For teams sitting on data and documents AI could be working.
- AI-assisted analysis over the data the business already has
- Documentation that generates, maintains, and answers questions about itself
- Honest boundaries: where AI analysis is trustworthy and where a human stays in the loop
You leave withA working plain-language interface or documentation pipeline over your own data.
04 — OPEN & LOCAL MODELS
Private AI on hardware you already own — often for less than your API bill
For teams curious whether open models can do the job.
- Low-risk evaluation setups: how to try them without betting anything
- Live demos against your actual use cases — not leaderboard scores
- Realistic applications: what open and local models handle well today, and what they don't
You leave withA go/no-go answer with numbers, and a running evaluation setup if go.
Working With
Background
20 years in corporate engineering, in three phases
This is corporate-side engineering leadership, not freelance client work — laid out here because it's the real experience behind everything tremcom offers.
AI-Augmented Engineering Transformation
Led multiple engineering teams through a phased shift to AI-integrated development — from early IDE-based AI tooling through to custom, locally-hosted LLM systems built and maintained in-house.
Enterprise-Grade Conversational AI
Directed development of production chatbot systems using LangChain and LangGraph, moving teams from prototype-level demos into agent architectures built for enterprise reliability.
Privacy-Hardened AI Harness
Designed an inference harness that strips personally identifiable information before it reaches any model endpoint, with execution hooks constraining behavior to predictable, auditable paths.
The same climb your team is on — I've done it from the inside.
tremcom is a return to independent work, not a first attempt — I ran my own consulting practice for 16 years before the enterprise chapter, and a system I built for a client in 2008 is still in production today. The freelance record is being rebuilt in the open: fixed-scope engagements, named deliverables.
Is This You
Good fit, and honest redirects
Good fit
- You're asking "where do we start?" — or your AI usage started strong and then plateaued
- At least some of your staff will adopt the tools and workflows — I enable teams, I don't replace them
- You want to own your AI practice (and, where it fits, your models) rather than rent a black box
Probably not — yet
- You want a plug-and-play chatbot with nothing to learn or maintain — an off-the-shelf product will serve you better, and cost less
- You need a quick prototype with no plan to take it further — everything I set up is built to outlive the engagement, so we'd both be frustrated
- Your team has no bandwidth right now to work alongside me — that's fine, but worth revisiting when it changes; I enable teams rather than replace them
Book A Consult
Tell me where your team is stuck with AI.
Thirty minutes, free, no obligation. Describe where your team is today — I'll tell you what the next level looks like and whether I can get you there.