AI implementation consulting that starts with your operations, not your AI tools.
Most businesses try to implement AI before their operations are ready for it. The result is expensive tools that underperform on messy data. We start with the foundation — clean data, documented workflows, reliable systems — and add AI once it has something to work with.
AI we implement
AI that works because it has something to work with
AI Agents
AI agents are software that can reason, plan, and take actions on your behalf. We build agents that handle complex, multi-step tasks — researching leads, drafting responses, routing cases, generating reports — with the right guardrails so they work reliably.
A well-built AI agent can handle the work of 2–3 full-time employees on specific, well-defined tasks.
Voice Assistants
Custom voice assistants for client intake, internal FAQs, and scheduling — built on your actual business data, not generic models. They know your services, your pricing, and how to escalate to a human when needed.
Voice assistants handle 60–80% of inbound inquiries without human intervention.
AI-Powered Workflows
AI inserted into existing workflows at the right decision points. Document extraction, email classification, proposal generation, sentiment analysis — AI does the heavy lifting, humans review the outputs.
AI-augmented workflows typically reduce processing time by 70–90% on knowledge-intensive tasks.
Claude Integration
We specialize in Anthropic's Claude for business applications — one of the most capable and safety-conscious AI models available. We handle the API integration, prompt engineering, and production deployment so your team doesn't have to.
Purpose-built Claude integrations outperform off-the-shelf AI tools for complex business logic.
The Company Operating System
Four layers that run your business
Every Company Operating System is built on the same foundation — each layer dependent on the one below it.
Data Architecture
The single place where every piece of business information lives. Structured, queryable, and trusted by the whole team.
Workflow Design
Documented processes your tools can execute. Not PDFs — structured SOPs with the logic your team and your automations can both follow.
Automation + Integration
The engine that runs your workflows without anyone touching them. Tools connected, manual steps gone, data moving on its own.
AI Implementation
Intelligence that actually works because it has something clean to work with. Agents, assistants, and AI workflows built on the layers below.
Our Process
How we work together
Discovery
We map your current operations: tools, workflows, team structure, and where things break. We ask a lot of questions before we touch anything.
Documentation
We translate what we find into a clear blueprint: your data architecture, process flows, and system design.
Review
You approve every decision before we build. Nothing goes live that you haven't seen and signed off on.
Build
We build, configure, and integrate your Company Operating System — then train your team and hand it over with documentation.
Results
What this looks like in practice
The prerequisite
AI needs something to work with.
The businesses that get real results from AI have one thing in common: they cleaned up their operations first.
- AI agent can't find the data it needs
- Outputs are wrong because inputs are inconsistent
- Team doesn't trust the AI, ignores it
- Expensive experiment that doesn't stick
- AI has a clean database and documented workflows to reference
- Outputs are reliable because the foundation is consistent
- Team uses AI because it actually helps
- Compound returns — each layer makes the next more powerful
Not sure which camp you're in? Get an AI Readiness Assessment →
FAQ
Questions about AI implementation
We primarily build with Anthropic's Claude and OpenAI's GPT models, chosen based on the task. For voice, we use tools like Vapi and ElevenLabs. For orchestration, we use LangChain, custom Python, and Make.com depending on complexity. We recommend the right tool for the job, not the one that's most popular.
Almost always, yes. AI is not a fix for broken processes — it amplifies whatever it's built on. If your data is messy, your AI will produce messy outputs. If your workflows aren't documented, your AI won't know what to do. We can assess your current readiness with an AI Readiness Assessment before recommending next steps.
A chatbot responds to inputs. An AI agent reasons about a goal and takes actions to achieve it — it can use tools, access databases, send emails, and make decisions across multiple steps. Think of a chatbot as a FAQ page and an agent as a junior employee who can actually get things done.
For simple integrations (AI-generated email drafts, document summaries), results are visible within weeks. For complex agents and voice assistants, expect 4–10 weeks of build time before production deployment. The results, when they land, are typically 10x faster than hiring.
We only use enterprise-grade AI APIs (Anthropic, OpenAI) with business agreements that don't use your data for model training. We also design data flows so sensitive information is only shared with the AI when necessary for the specific task. Security and compliance are part of every implementation.
Let's get to work
Ready to build your Company Operating System?
Stop duct-taping tools together. Let's build the system your business runs on.