Fourservices.OnedisciplinedwayofmakingAIactuallywork.
Every service below solves a specific problem. Either your AI investment isn't producing returns, or you haven't invested yet and don't know where to start. Each one is engineered to produce something you can measure.
Four services. Built to work together or alone.
These aren't standalone packages. Most engagements start with an audit, move into implementation, and continue with ongoing optimization. But you can engage us at any entry point.
AI Stack Audit
Before we touch anything, we inventory everything.
Most businesses we meet are paying for more AI tools than they can name. ChatGPT subscriptions. A chatbot vendor. Three automation platforms. A voice agent nobody configured. The audit is how we find out what's actually earning its place.
- 01
Full inventoryEvery AI tool, subscription, and workflow. What you're paying, what it's producing.
- 02
Team interviewsWe talk to the people doing the work. That's where we find the manual tasks AI should be handling.
- 03
Cost attributionEvery subscription matched to a real outcome. The stuff that isn't producing gets flagged.
- 04
ROI shortlistThe three highest-return implementations we'd prioritize next, with math behind each one.
- 05
Written recommendationsTools to keep. Tools to cut. Tools to replace. You walk away with a document, whether you continue with us or not.
Most AI vendors show up selling. We show up asking questions. The audit usually finds enough stack sprawl to pay for itself before we implement anything new.
Implementation
We deploy the systems. We measure from day one.
Implementation is where most AI projects die. Not because the tools don't work. Because nobody set up the measurement layer. Nobody connected the systems to the existing stack. Nobody stayed around to fix what broke in the first week.
- 01
Connect systemsNew AI tools wired into your CRM, calendar, email, and existing workflow.
- 02
Define every KPIEvery system has a measurable success metric configured before it goes live.
- 03
Build measurement alongsideReporting infrastructure deploys with the system, not after.
- 04
Train your teamExactly what the system does. Exactly what it doesn't.
- 05
Tune the first two weeksReal usage always differs from plan. We monitor and adjust closely.
The last mile of implementation is where projects fail. That's the mile we specialize in. By the time we deploy anything, we've already mapped what could break. And we stay close for the first two weeks to catch anything we missed.
Custom AI Agents
When the right tool doesn't exist yet, we build it.
Sometimes the right tool doesn't exist yet. A solopreneur needs a digital chief of staff. A service business needs an agent that handles leads while the owner's on the job site. When the right tool isn't on the market, we build it. On open-source frameworks you own.
- 01
Scope against outcomesWe define the agent by specific tasks and results, not vague capabilities.
- 02
Choose the right frameworkHermes or OpenClaw. We pick based on your use case, not our preference.
- 03
Train on your contextThe agent learns your business. Your tone. Your workflows.
- 04
Test across real scenariosBefore we deploy, we run the agent through the edge cases that actually happen.
- 05
Deploy where you already areYour email, your Slack, your tools. No new interfaces to learn.
We build on open source. If we disappeared tomorrow, your agent keeps running. Any competent engineer could maintain it. Most custom-build shops lock you into their platform. We don't.
Ongoing Optimization
We don't hand over a dashboard and leave.
The fastest way to waste an AI investment is to deploy it and walk away. Systems break. Contexts shift. The thing that worked in month one is silently underperforming by month four. Optimization means we stay. We review every month. We adjust what isn't working. And we document the returns in numbers, not impressions.
- 01
Monthly 30-min optimization callReview performance against KPIs. Decide what to adjust.
- 02
Shared communication channelSlack or email, your call. You can reach us during business hours.
- 03
Quarterly deep divesEvery three months, we surface new automation opportunities we see forming.
- 04
Continuous tuningAgents get smarter. Automations get tighter. Integrations get tested.
- 05
Documented change logYou always know what was adjusted and why.
Most AI agencies ship and disappear. We stay because it's how the systems actually produce returns. You can end the engagement at any time. We built the model so ending it doesn't end the systems. Everything we build is yours.
Not sure where you fit? Most engagements start one of three ways.
You don't need to know exactly what you need when you book the first call. Most of our clients arrive with one of these three situations. All three lead to the same first conversation.
You're already paying for AI and not sure if it's working
Start with the audit. We'll map what you have, find the stack sprawl, and give you a written shortlist. No commitment to continue past the audit.
Start with an auditYou know what you want to implement but not how
Start with a discovery call. We'll scope the implementation, estimate the timeline, and give you a written proposal.
Scope an implementationYou're tired of tools that don't talk to each other
Start with a conversation. We'll tell you honestly if we can help.
Book a conversationWhat most people ask before they book the call.
These come up on almost every discovery call. We'd rather answer them here.
Thefirstcallisaconversation.Notapitch.
60 minutes. You tell us what you have and what you're trying to fix. We tell you whether we can help. If we can't, we'll point you toward someone who can.
No contracts. No pitch decks. No pressure.