AI Automation for Business
The businesses winning in the next decade will be the ones that figured out how to do more with the same team — or more with less. AI automation is how you get there.
We build custom AI-powered systems that eliminate repetitive work, accelerate decision-making, and create capabilities your competitors haven't figured out yet.
What AI Automation Actually Means for Your Business
AI automation isn't replacing people — it's eliminating the parts of their job that no one should be doing manually in 2026:
- Answering the same customer questions 200 times a day
- Reviewing documents to extract the same 10 fields every time
- Routing emails to the right person based on content
- Generating first-draft reports, proposals, or content
- Classifying incoming data and triggering downstream actions
We identify these leverage points in your operation and build systems that handle them automatically, reliably, at any scale.
AI Solutions We Build
AI Chatbots & Virtual Assistants
Customer-facing and internal chatbots that actually work:
- Customer support bot — answers product questions, handles returns, escalates to humans intelligently
- Sales qualification bot — pre-qualifies leads 24/7, schedules demos, routes to sales reps
- Internal knowledge bot — employees ask questions and get answers from your internal docs, SOPs, and wikis
- Lead generation bot — engages website visitors, captures contact info, personalizes the conversation
How they're built:
- Retrieval-augmented generation (RAG) against your knowledge base
- Custom fine-tuning for domain-specific expertise
- Human escalation with full conversation context handoff
- Multi-channel deployment: website, Slack, WhatsApp, email
Intelligent Document Processing
Stop manually extracting data from PDFs, forms, and scanned documents:
- Invoice processing — extract line items, totals, vendor names, and push to accounting
- Contract review — flag key clauses, missing terms, and unusual provisions
- Form data extraction — convert unstructured forms into structured database records
- Document classification — automatically sort incoming documents by type and route them
Workflow Automation
Connect your tools and automate multi-step business processes:
- Lead routing — new leads from any source classified and assigned automatically
- Approval workflows — requests routed, approved, and actioned without email chains
- Data sync automation — keep CRM, ERP, and operational tools in sync without manual entry
- Notification and alerting — AI determines what's worth a human's attention and when
AI-Powered Content Operations
- Content brief generation — SEO research → structured brief → ready for writers
- First-draft generation — product descriptions, email templates, social captions
- Translation and localization — adapt content for new markets at scale
- Personalization engines — show the right content to the right user based on behavior
Custom LLM Applications
When off-the-shelf AI tools don't fit your workflow, we build custom:
- Internal Q&A systems — your team asks, your company's knowledge answers
- Competitive intelligence tools — monitor and summarize competitor activity
- Customer insight extraction — analyze support tickets, reviews, and feedback at scale
- Prediction and scoring models — churn prediction, lead scoring, anomaly detection
Our AI Stack
We work across the major AI providers and select the right model for each use case:
| Provider | Models | Best For |
|---|---|---|
| Anthropic | Claude 3.5 Sonnet, Claude 3 Opus | Complex reasoning, document analysis, coding |
| OpenAI | GPT-4o, GPT-4o mini | General tasks, vision, embeddings |
| Meta | LLaMA 3 | Self-hosted, data-private deployments |
| Mistral | Mistral Large, Mixtral | European data residency, efficient inference |
Infrastructure:
- RAG pipelines: LangChain, LlamaIndex, or custom
- Vector databases: Pinecone, Weaviate, pgvector
- Orchestration: n8n, Make, or custom API
- Deployment: Cloudflare Workers, Vercel Edge, or AWS Lambda
How We Approach AI Projects
1. Process Audit (Week 1)
We map your current workflows, identify the highest-impact automation candidates, and prioritize by effort vs. return.
2. Prototype (Weeks 2–3)
We build a working proof-of-concept for the top automation target — fast enough to test, functional enough to evaluate.
3. Production Build (Weeks 3–8)
Full implementation with error handling, monitoring, human escalation paths, and integration into your existing tools.
4. Monitoring & Improvement (Ongoing)
AI systems improve with use. We monitor accuracy, collect edge cases, and continuously improve model performance.
ROI You Can Measure
We focus on automations with clear ROI:
- Support ticket deflection — 40–70% of support volume handled without human involvement
- Processing time reduction — document workflows that took hours done in seconds
- Lead response time — from hours to seconds for initial qualification
- Content output — 10x more content with the same team
Who We Build For
- Operations teams drowning in manual, repetitive work
- Customer success teams handling high-volume, similar inquiries
- Sales teams spending time on qualification instead of closing
- Marketing teams that need to scale content without scaling headcount
- SaaS companies embedding AI features into their products
- Professional services firms — law, accounting, consulting — automating document-heavy workflows
Ready to Automate?
Tell us what's eating your team's time. We'll identify what AI can handle and build a system that does it.