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AI Implementation

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, and reliable systems. Then we add AI once it has something to work with.

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AI we implement

AI that works because it has something to work with

AI Agents
01

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
02

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
03

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
04

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 system is built on the same foundation, and each layer depends on the one below it.

1

Workflow Design

Documented processes your tools can execute. Structured SOPs with the logic your team and your automations can both follow.

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2

Data Architecture

The single place where every piece of business information lives. Structured, queryable, and trusted by the whole team.

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3

Systems + Automation

The engine that connects your tools and runs your workflows without anyone touching them.

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4

AI Implementation

Intelligence that works because it has something clean to operate on. Agents, assistants, and AI workflows on the layers below.

How it works

From audit to a running system.

  1. 01

    We map your operations

    A few working sessions and access to your tools. We document how your business actually runs today, not how the org chart says it does.

  2. 02

    We build your system

    We design and build your operating system layer by layer, reviewing with you as we go. Nothing gets built that you haven’t seen.

  3. 03

    Your team runs on it

    We hand it over, train your people, and stay on to improve it. Most clients are fully working from the new system within weeks, not quarters.

FAQ

Questions about AI implementation

What AI tools do you work with?

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.

Does our business need to fix operations before implementing AI?

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 start by assessing your current readiness before recommending next steps.

What's the difference between an AI agent and a chatbot?

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.

How long until we see results from AI implementation?

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.

Is our data safe when we use AI?

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 business operating system?

Right now your business runs on a stack of tools that don’t talk to each other. That’s the problem we solve. Tell us what’s slowing you down and we’ll show you what one system would look like for your firm.

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