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We build custom AI and automation stacks that eliminate 40+ hours of manual work every week. n8n workflows, AI calling, smart chatbots — all connected.
See exactly what automation saves you.
Here's a real breakdown from an average client. Manual hours eliminated, replaced by AI agents that work 24/7.
Four tools. One connected brain.
Every tool feeds data to the others. Your CRM, calls, emails, and chatbot all work as one intelligent system.
n8n
Workflow Engine — connects everything
MapleVoice
AI calling — books appointments, follows up on leads, leaves voicemails
MapleConnect
Automated email & SMS sequences triggered by behavior
AI Chatbot
24/7 lead qualification, support, and appointment booking on your site
Your CRM
HubSpot, Salesforce, or custom — always in sync
Your Data
Real-time analytics, reports, and dashboards
AI for every part
of your business.
AI-Driven Software
Custom AI-powered applications
AI-Driven Design
Intelligent UX personalization
AI-Enabled CRM
Smart sales pipeline automation
AI-Enabled E-Commerce
Personalized shopping experiences
AI-Enabled Tools
Productivity tools powered by AI
AI Chatbot Integration
24/7 conversational AI for your site
Personalization Algorithms
Content & product recommendations
Voice Search Optimization
Voice-first user experiences
Enhanced Search
AI-powered site & product search
A/B Testing Automation
Continuous experimentation at scale
AI Smart Forms
Intelligent, adaptive form experiences
AI-Driven Quizzes
Engaging quizzes that qualify leads
40 hours/week saved. $84K annual savings.
With n8n automation.
Not all AI models
are built the same.
Choosing between Claude, GPT, Gemini, and open-source models is the most consequential architectural decision you'll make. Here's how we pick — by job, not by hype.
| Model | Provider | Strength | Context | We reach for it when… |
|---|---|---|---|---|
| Claude 4.6 (Opus/Sonnet) | Anthropic | Reasoning, long-context, code | 1M tokens | Agents, code gen, research |
| GPT-5 / GPT-4.1 | OpenAI | General reasoning, tool use | 1M tokens | Chatbots, orchestration |
| Gemini 2.5 Pro | Multimodal, long documents | 2M tokens | Video, doc Q&A, analysis | |
| Llama 3.3 / 4 | Meta (open) | Self-hosted, cost-controlled | 128K tokens | On-prem, compliance-heavy |
| Mistral Large 2 | Mistral | European data residency, fast | 128K tokens | EU-regulated workloads |
| Embedding / Reranker | Cohere / Voyage | Retrieval, search, RAG | N/A | Vector search, semantic RAG |
Updated monthly. Model landscape moves fast — our architecture is provider-agnostic so swapping models is a config change, not a rewrite.
From idea to shipped AI
in 8 weeks, not 8 months.
The reason most AI projects fail isn't the technology — it's the planning. Teams chase 18-month “transformation roadmaps” instead of shipping one measurable win. We invert that: value in weeks, not quarters.
Prove value
Pick one high-impact workflow with measurable baseline (ticket resolution time, lead qualification rate). Ship a working prototype. Measure. No more 6-month POCs.
Ground in data
RAG over your docs, CRM, or product catalog with Pinecone / Weaviate. Prevent hallucinations by pinning sources. Every response cites the document it came from.
Add guardrails
Prompt injection filters, output validation (Zod / Pydantic), rate limits, cost caps per session, PII redaction, Claude Shield or equivalent abuse detection.
Evaluate rigorously
Eval datasets with 100+ real examples, LLM-as-judge scoring, Braintrust or Langfuse dashboards, regression tests on every prompt change.
Ship to production
Gradual rollout behind feature flags, canary analysis, cost monitoring, fallback to deterministic rules if the LLM fails. No big-bang launches.
The four commitments
behind every AI system we ship.
AI is moving faster than most governance frameworks can catch up with. These four commitments are our non-negotiables — written into every contract, enforced in every code review.
Humans stay in the loop
High-stakes decisions (loan approvals, hiring, medical, legal) always have human review. AI assists — it never autonomously decides outcomes that affect livelihoods.
Data stays where you put it
No training on customer data by default. Azure OpenAI, AWS Bedrock, and Anthropic's enterprise API all guarantee zero retention. We write it into the architecture.
Transparent capabilities
Users know when they're talking to AI. No fake “virtual employees” with human names and fake photos. Disclosure is built into every system we ship.
Measurable accuracy
Every AI feature ships with a published accuracy benchmark, refreshed quarterly. If accuracy drops below threshold in production, the feature disables itself and alerts on-call.
Built for regulated industries
from day one.
Healthcare, finance, legal, and enterprise customers can't adopt AI without serious compliance answers. We've done the work so you don't have to relitigate it from scratch.
What every AI buyer actually wants to know.
Which AI model should my business actually use?+
It depends on the job. Reasoning and agentic work: Claude 4.6 Opus. Tool use at scale: GPT-5. Multimodal + long docs: Gemini 2.5. Self-hosted compliance: Llama 4. We often run multiple models in one workflow — Claude for reasoning, GPT for function calling, a smaller open model for high-volume classification.
How do we stop the AI from hallucinating?+
Three defenses: (1) Retrieval-augmented generation grounds every answer in your source documents with citations. (2) Structured output validation via Zod/Pydantic rejects malformed responses. (3) Evaluation datasets catch regressions before prompts ship. We won't launch a customer-facing LLM feature without all three in place.
Is our data safe if we use AI?+
Yes, when architected correctly. We default to enterprise API tiers (Azure OpenAI, AWS Bedrock, Anthropic Enterprise) that guarantee zero data retention and no training on your data. Sensitive PII is redacted at the edge before ever reaching a model. Your data never trains a public model under our watch.
How much does running AI actually cost?+
For most applications: $0.002-$0.03 per user interaction. A chatbot handling 100K messages/month typically costs $300-$2,000 in API fees. We optimize costs with caching (Anthropic's prompt cache saves 90% on repeated context), smaller models for easy tasks, and batch APIs where latency allows.
Will AI replace our employees?+
Not in any engagement we've run. In every deployment, AI removes the tedious 30-60% of a role (data entry, triage, drafting) and lets humans focus on judgment, relationships, and edge cases. Teams grow faster because each person is 2-3× more productive. That's the pattern across 200+ AI projects we've shipped.
What about the EU AI Act?+
We classify every AI system we ship under the four EU AI Act risk categories (unacceptable, high, limited, minimal) and document mitigations accordingly. High-risk systems get full conformity assessments, model cards, and audit trails. We've been designing for this framework since 2024 — you won't be caught flat-footed when enforcement ramps up in 2026.
Can you fine-tune a model on our data?+
Yes — but 80% of the time we recommend against it. Modern retrieval (RAG) plus good prompts handles most use cases without the cost, ops burden, or model staleness of fine-tuning. When fine-tuning is the right answer (high-volume classification, style adaptation), we ship via OpenAI fine-tuning, Anthropic custom models, or LoRA on open-source.
Do you build voice agents / AI callers?+
Yes. We build on top of MapleVoice, our proprietary voice stack, which handles real-time phone conversations with sub-400ms latency. Use cases: inbound lead qualification, appointment reminders, customer-support tier-1, after-hours coverage. Average handled-call rate: 68% without escalation to a human.
Automation that pays for itself.
Every plan includes setup, training, and 30 days of optimization. Average ROI payback: less than 30 days.
Starter
1-2 automations · single workflow
Growth
Full stack · multiple workflows
Enterprise
Unlimited · dedicated AI team
All plans include setup + training · ROI guarantee · Month-to-month
Stop doing what machines
should do for you.
Book a free automation audit. We'll map out every repetitive task in your business and show you exactly how much time and money AI can save you.
Free · No commitment · ROI estimate in 48 hours
Three ways to get started
Pick the path that fits you best — a quick form, a detailed brief, or a live call. Selected service: AI & Automation.
Prefer phone? Call (480) 650-9911 — Mon–Fri · 9am–6pm MST