AI Consulting for companies that want to move
A.D.A.P.T. to AI with Workflows.
S.C.A.L.E. AI with Agents.
Most companies are stuck in one of two places: they either haven't figured out how to get AI into their daily work, or they've got the basics down but can't get to the next level. Second Coffee acts as your implementation partner to fix this. We provide the consulting, engineering, and strategy to operationalize the ADAPT and SCALE frameworks within your organization.
The reality
We've watched dozens of companies try to "do AI." They buy licenses. Run a training day. Maybe get a few early wins. Then six months later, half the team is back to doing things the old way.
The other half? They got the workflows humming, but now they're hearing about agents and autonomous teams and they have no idea where to start.
These are two different problems. And they need two different playbooks.
Two playbooks
Where are you?
Most companies need ADAPT first. Some are ready for SCALE. A few need both at the same time.
Optimize your workflows
Your team knows AI exists but hasn't really changed how they work. You need the organizational foundation: executive alignment, a dedicated team, permission to experiment, practice-sharing across groups, and real training. This is where 90% of companies should start.
The ADAPT frameworkDeploy autonomous agents
You've got workflows working. Now you want agents that actually do the work: self-learning systems, shared context, real authority to act, clear limits, and coordinated expert swarms. This is the part that feels like science fiction until you see it running.
The SCALE frameworkThe framework
A.D.A.P.T.
Five elements that help organizations adapt to AI — building the foundation for transformation that lasts.
Alignment
"Leadership Sets the Tone."
Executive buy-in isn't optional — it's the starting point. When leadership genuinely champions AI adoption and models the behavior, the rest of the organization follows. Without it, every initiative stalls at the first sign of resistance.
Dedicated Team
"Ownership, Not Side Projects."
A cross-functional AI squad that owns transformation end-to-end. They identify high-impact use cases, build solutions, train the organization, and run experiments. This isn't a committee — it's an empowered team with a clear mandate.
Agility
"Permission to Experiment."
A culture where experimentation is expected, not exceptional. Psychological safety to try new approaches, fail forward, and iterate quickly. Organizations that fear failure never discover what's possible with AI.
Practice-Sharing
"When One Team Wins, Everyone Learns."
Knowledge doesn't stay siloed — it flows. Peer-to-peer sharing, internal showcases, communities of practice, and reusable templates that help successful approaches spread organically across the organization.
Training
"Building Capability That Spreads."
Continuous learning programs, role-based upskilling, and knowledge sharing systems. Not one-time workshops — an ongoing investment in organizational capability. When knowledge flows freely, adoption compounds.
The framework
S.C.A.L.E.
Five things you need to get right before agents can do real work for your company.
Security & Limits
Guardrails that let you sleep at night.
Authority without limits is terrifying. You need clear boundaries: what agents can and can't do, spending caps, approval gates for high-stakes actions, kill switches. The goal is confidence, not control. You want to trust the system enough to let it run at 3am while you sleep.
Context Sharing
Knowledge that flows between agents.
An agent working in isolation is just a chatbot with extra steps. Real power shows up when agents share context: what they've learned, what they're working on, what they've tried. We run 4-6 agents simultaneously. The ones that share state are 10x more useful than the ones that don't.
Autonomy
Autonomy within constraints.
Most "agents" in the wild are just AI that drafts things for humans to approve. That's fine for week one. But real scale means giving agents autonomy within constraints. They need the freedom to act, but within boundaries you define. Send that email. Merge that PR. Update that record. The less you babysit, the more you get done.
Learning Loops
Agents that get better on their own.
Your agents need feedback loops. Every task they complete should make the next one better. We're not talking about fine-tuning models. We're talking about systems that capture what worked, what didn't, and adjust their approach. The ones we've built run circles around the ones that just follow static prompts.
Expert Swarms
Specialized agents working as a team.
One generalist agent hits a ceiling fast. The real unlock is teams of specialized agents: one that writes, one that researches, one that codes, one that reviews. We call these Target Teams. They coordinate, they hand off work, they check each other. Less like an intern, more like a full-fledged department.
How we work
Services
What We Do
We are the consulting engine behind the frameworks. We don't just teach ADAPT and SCALE, we implement them. We work alongside your team to build the workflows, code the agents, and install the culture needed to make these frameworks your reality.
AI Transformation Sprint
Two weeks, focused. Our team assesses where you are, picks the highest-impact workflows, and gets AI embedded in your team's daily work. You walk away with running systems, not a strategy document.
Target Team Install
We build your first autonomous agent team from scratch. Real agents doing real work for your company, with the guardrails, context sharing, and feedback loops to make them reliable.
Executive Advisory
Ongoing access to a team that's actually in the weeds building with AI every day. Not theory. Not analyst reports. What's working right now and how to apply it to your business.
The thesis
Why Target Teams are your next hire
We've created and have been running AI agents at Second Coffee. Not as a metaphor. Our agents have their own email accounts, their own Git repos, their own task queues. They ship code, write marketing copy, do research, manage projects.
One of them built a task management tool for the team, which different AI team members all now reference to build requirements, write content, write and implement tests, and review each other's work. Even this site was made by the team (with a little help from humans).
This is where every company is headed. The question is whether you get there first or watch your competitors do it.
Ready to move?
Whether you need to ADAPT your workflows or SCALE with agents, let's figure out where you are and what's next.
Start a conversation