What are AI automation services?

AI automation services combine AI models with workflow orchestration to automate repetitive business processes — document processing, data extraction, report generation, email triage, approval routing, and more. Unlike traditional automation, AI automation handles unstructured data and makes judgment calls that previously required human intervention.

Can you deploy LLMs on our own servers?

Yes. We deploy open-source LLMs (Llama 3, Mistral, Phi-3) locally using Ollama, vLLM, or TGI on your own infrastructure or private cloud. Your data never touches external APIs. This is essential for organizations with data sovereignty requirements, HIPAA compliance, or proprietary data that cannot leave the network.

What's the difference between AI automation and traditional automation?

Traditional automation (RPA, Zapier) follows rigid rules — if X then Y. It breaks on unstructured data, ambiguous inputs, or edge cases. AI automation uses language models to interpret context, extract meaning from unstructured documents, make classification decisions, and generate outputs. It handles the 80% of work that traditional automation can't touch.

Is AI automation secure for regulated industries?

Yes. We deploy AI automation on your own infrastructure or private cloud — no data leaves your environment. For HIPAA-regulated workflows, all AI processing happens within your VPC with audit logging, access controls, and encryption. SOC 2 Type II controls apply to the entire automation pipeline.

How is this different from your AI/ML development services?

Our AI/ML development services build AI features into products — chatbots, recommendation engines, RAG pipelines for SaaS platforms. AI automation services automate internal business workflows — document processing, email triage, report generation, data entry. Different buyer (CTO vs COO), different deliverable (product feature vs operational efficiency).

AI Automation Services for Internal Workflows

Q: How much do AI automation services cost?

A single AI workflow automation (e.g., document processing pipeline or email triage bot) typically costs $15,000 to $40,000 over 4-8 weeks. Multi-workflow automation programs run $40,000 to $150,000. Local LLM infrastructure deployment starts at $25,000. Ongoing management and iteration from $3,800/mo.

Q: Can AI automation work with our existing tools?

Yes. We build AI automation that integrates with your existing stack — Slack, Gmail, Google Workspace, Microsoft 365, Salesforce, HubSpot, Jira, Confluence, SharePoint, EHR systems, and any tool with an API or webhook. n8n has 400+ built-in integrations.

Stop paying people to do what AI can handle. We build AI-driven workflow automation for document processing, email triage, data extraction, report generation, and approval routing — using n8n, local LLMs, and your existing tools. Our AI and automation services keep your data on your own infrastructure.

✓n8n workflow automation — self-hosted, your data stays yours.
✓Local LLM deployment via Ollama and vLLM — no data leaves your network.
✓Document processing, email triage, and data extraction at scale.
✓AI agents that work on your internal data with human oversight.
✓SOC 2 compliant AI automation for businesses of any size.

Book an Automation Discovery Call → Request a Proposal

Illustration of an amber figure managing an AI workflow pipeline that transforms messy documents into organized outputs with sorted folders and a dashboard

400+

n8n Integrations

100%

Self-Hosted, Your Data

SOC 2

Type II Certified

HIPAA

-Aware Workflows

WHAT WE AUTOMATE

Types of AI Automation We Build

From document processing to multi-step AI agents — here's what AI automation looks like when it runs on your infrastructure.

Illustration of an amber figure overseeing a process where a messy pile of invoices and receipts feeds into an AI processing node that extracts structured data rows flowing into a clean dashboard system with charts and a database

Invoice & Document Processing

AI reads invoices, contracts, forms, and receipts — extracts structured data, validates against your business rules, and routes to the right system. Eliminates manual data entry for 80-95% of documents.

Multi-format intake: PDF, scan, email, photo

AI field extraction (vendor, amount, date, line items)

Validation against PO, contract, or business rules

Auto-routing to ERP, accounting, or approval workflow

Exception flagging for human review

Confidence scoring per extracted field

Batch processing for high-volume operations

Audit trail on every processed document

Illustration of a flood of emails being sorted by an AI brain into Urgent, Spam, Meeting, and Inquiry buckets, with a blue figure reviewing draft responses

Email Triage & Response Drafting

AI reads incoming emails, classifies intent and urgency, drafts responses for human approval, and routes to the right team. Cuts email processing time by 60-80%.

Intent classification (inquiry, complaint, request, spam)

Priority scoring (urgent, normal, low)

Auto-draft responses for common patterns

Routing to correct department or person

Sentiment analysis and escalation triggers

CRM/ticket system integration

Response approval workflow before sending

Analytics: response time, category distribution

Illustration of a navy human figure at a dashboard with an Approve button overseeing a purple AI agent walking a 4-step branching path from AI Initiation through Step 1, Step 2, branching to Step 3A and Step 3B, and converging at Step 4 with a brain icon

Multi-Step AI Agents

Autonomous agents that research, pull data from multiple systems, analyze patterns, make recommendations, and present results — with human approval gates at critical decisions.

Multi-step reasoning across data sources

Tool use: database queries, API calls, web search

Decision trees with confidence thresholds

Human-in-the-loop for critical decisions

Parallel execution of independent subtasks

Memory across conversation turns

Cost and token budget controls

Full audit log of every action taken

Illustration of a green figure monitoring a server rack with a brain icon inside a dashed Your Network boundary, documents flowing in and out through an orange padlock that blocks external connections, with a system health and document ingestion dashboard

Local LLM Infrastructure

Deploy open-source AI on your own servers — your data never leaves your network. For regulated industries, proprietary data, or orgs that need AI without third-party API dependencies.

Ollama and vLLM deployment on your infrastructure

Model selection: Llama 3, Mistral, Phi-3, Mixtral

GPU sizing and optimization

Internal API gateway for team access

Model version management and updates

Monitoring: latency, throughput, error rates

Integration with n8n and existing workflows

Cost modeling: own hardware vs cloud GPU rental

THE GAP

Why Traditional Automation Hits a Wall

Zapier and RPA handle structured, predictable workflows. But most of your team's time is spent on unstructured work that rule-based automation can't touch.

Unstructured Data

80% of business data is unstructured — emails, PDFs, contracts, support tickets, meeting notes. Traditional automation can't read, interpret, or act on any of it. AI can.

Judgment Calls

Routing a support ticket to the right team, deciding if an invoice matches a PO, classifying a document by type — these require interpretation, not if/then rules. LLMs handle this naturally.

Tool Sprawl

Your team uses 10+ tools. Each has its own API, data format, and quirks. Building reliable integrations between them with Zapier-style connectors is fragile. n8n with AI nodes handles the complexity.

THE APPROACH

How We Build AI Automation That Works

We combine n8n workflow orchestration with local LLMs and your existing tools to automate the work your team shouldn't be doing manually.

Illustration of an amber figure connecting 5 workflow nodes in a pipeline on a self-hosted server rack

01

n8n Workflow Orchestration

We build automation pipelines on n8n — self-hosted on your infrastructure, so your data never leaves your network. n8n connects to 400+ tools and lets us add AI processing nodes at any step. Unlike Zapier, you own the entire pipeline and can run it behind your firewall.

Illustration of a blue figure monitoring a local LLM server rack within a dashed Your Infrastructure boundary, with documents flowing in and processed outputs flowing out

02

Local LLM Deployment

We deploy open-source LLMs (Llama 3, Mistral, Phi-3) locally using Ollama or vLLM on your servers or private cloud. Your documents, emails, and internal data are processed entirely within your environment. No API calls to OpenAI. No data leaving your network.

Illustration of an amber AI agent figure following a 4-step path — read document, check database, make decision, route output — while a navy human figure oversees from a control panel with an override button

03

AI Agents on Your Data

We build AI agents that chain multiple steps — read a document, extract key fields, check against a database, make a decision, and route the output — with human-in-the-loop controls for edge cases. Agents run on your data, follow your business rules, and log every decision.

SERVICES

AI Automation Services We Deliver

From AI document processing software to autonomous agent deployments — here's what our AI business automation services deliver.

n8n Workflow Development

Custom n8n workflows self-hosted on your infrastructure. We design, build, and deploy automation pipelines that connect your tools, process data with AI, and execute business logic — all without your data leaving your network.

Self-hosted n8n on your infrastructure

400+ native integrations (Slack, Gmail, Salesforce, etc.)

AI processing nodes with local or cloud LLMs

Error handling, retry logic, and alerting

Monitoring dashboards and execution logs

Local LLM Deployment & Hosting

Deploy open-source language models on your own servers or private cloud. We handle model selection, infrastructure sizing, GPU allocation, and production serving — so your team gets AI capabilities without sending data to external APIs.

Ollama and vLLM deployment and configuration

Model selection: Llama 3, Mistral, Phi-3, Mixtral

GPU infrastructure sizing and optimization

API gateway for internal model access

Model updates and version management

AI Document Processing

Automated extraction, classification, and routing of documents — invoices, contracts, forms, medical records, legal filings. AI reads the document, extracts structured data, validates against your rules, and routes to the right system.

Invoice data extraction and matching

Contract clause identification and flagging

Form digitization and field extraction

Medical record processing (HIPAA compliant)

Multi-format support: PDF, images, scans, email attachments

Email & Communications Automation

AI-powered email triage, response drafting, ticket classification, and communication routing. The AI reads incoming messages, classifies intent, drafts responses, and routes to the right person or system.

Email triage and priority classification

Response drafting with approval workflows

Support ticket auto-categorization

Meeting notes summarization and action extraction

Slack/Teams alert routing based on content analysis

Data Pipeline Automation

Automated data extraction, transformation, enrichment, and loading across your systems. AI handles the messy parts — cleaning unstructured data, resolving entity matches, and filling gaps that rule-based ETL can't handle.

Unstructured-to-structured data transformation

Entity matching and deduplication

Data enrichment from external sources

Automated report generation

Quality scoring and anomaly flagging

AI Agent Development

Autonomous AI agents that execute multi-step workflows on your internal data — research, analyze, decide, and act — with human oversight and guardrails. Built for internal operations, not customer-facing products.

Multi-step reasoning and tool use

Database queries and API calls

Decision-making with confidence scoring

Human-in-the-loop for edge cases

Full audit logging of agent actions

Integration & Middleware Services

Connect your existing tools into a unified automation layer. We build middleware that bridges systems that don't natively talk to each other — EHR to CRM, legacy database to modern SaaS, on-premise to cloud.

Custom API integrations and middleware

Legacy system connectors

Webhook orchestration

Data format transformation

Real-time sync and batch processing

PRICING

How Much Do AI Automation Services Cost?

Automation pays for itself. Here's what the investment looks like.

Single Workflow

$15K – $40K

One automated pipeline (e.g., document processing, email triage). 4-8 weeks. Includes n8n setup and AI integration.

Multi-Workflow Program

$40K – $150K

3-5 interconnected automation pipelines across departments. 2-4 months. Local LLM deployment included.

Enterprise Automation

$150K+

Organization-wide AI automation platform with agent infrastructure, monitoring, and ongoing optimization. 4-8 months.

Local LLM Setup: From $25,000

Ongoing Management: From $3,800/mo

USE CASES

What Teams Automate With Us

Operations Teams

Invoice processing, PO matching, vendor onboarding, compliance document review, and report generation. Reduce manual data entry by 70-90% while maintaining accuracy with human-in-the-loop validation.

IT & Engineering

Infrastructure alerts triage, log analysis, incident classification, deployment approvals, and documentation generation. Free your engineers from operational noise so they can focus on building.

Healthcare & Compliance

Medical record processing, prior authorization automation, claims routing, and audit document preparation. HIPAA-compliant processing on your infrastructure — no PHI leaves your network.

Sales & Marketing

Lead scoring from unstructured sources, proposal generation, CRM data enrichment, competitive intelligence extraction, and personalized outreach drafting with approval workflows.

AI Automation vs. AI Product Development

We offer both. Here's how to know which one you need.

AI Automation Services (this page)

For COOs and IT directors automating internal workflows. Deliverables: n8n pipelines, local LLM deployment, document processing, AI agents on internal data.

AI & ML Development →

For CTOs and product teams building AI features into a product. Deliverables: ML models, RAG pipelines, LLM integrations, recommendation engines, AI features in SaaS.

FAQ

AI Automation: Frequently Asked Questions

AI automation services combine AI models with workflow orchestration to automate repetitive business processes — document processing, data extraction, report generation, email triage, and approval routing. Unlike traditional automation, AI handles unstructured data and makes judgment calls that previously required human intervention.

n8n is an open-source workflow automation platform that connects AI models, APIs, databases, and business tools. Unlike Zapier or Make, n8n can be self-hosted on your own infrastructure — meaning your data never leaves your environment. Ideal for regulated industries and data-sensitive organizations.

Yes. We deploy open-source LLMs (Llama 3, Mistral, Phi-3) locally using Ollama, vLLM, or TGI. Your data never touches external APIs. Essential for data sovereignty, HIPAA compliance, and proprietary data that cannot leave your network.

A single workflow automation costs $15,000 to $40,000 over 4-8 weeks. Multi-workflow programs run $40,000 to $150,000. Local LLM deployment starts at $25,000. Ongoing management from $3,800/mo.

RPA follows rigid rules on structured data — click here, copy this field, paste there. It breaks on unstructured inputs. AI automation reads, interprets, and decides — it can process a messy PDF, classify an ambiguous email, or route a ticket based on context. Different capability entirely.

Yes. We integrate with Slack, Gmail, Google Workspace, Microsoft 365, Salesforce, HubSpot, Jira, Confluence, SharePoint, EHR systems, and any tool with an API or webhook. n8n has 400+ built-in integrations.

Yes. All AI processing happens within your VPC — no data leaves your environment. For HIPAA workflows, we add audit logging, access controls, and encryption. SOC 2 Type II controls apply to the entire pipeline.

AI/ML development builds AI features into products — chatbots, recommendation engines, RAG for SaaS. AI automation automates internal workflows — document processing, email triage, data entry. Different buyer, different deliverable.

A single workflow takes 4-8 weeks from requirements to production. Local LLM infrastructure takes 2-4 weeks. A multi-workflow program typically runs 2-4 months. Most clients see ROI within the first month of operation.

Every workflow includes human-in-the-loop controls for edge cases and low-confidence decisions. The AI flags uncertain items for human review rather than acting on them. Confidence thresholds are configurable per workflow.

It depends on the model and throughput requirements. Smaller models (Phi-3, Mistral 7B) can run on modern CPUs for moderate workloads. Larger models (Llama 70B, Mixtral) need GPUs. We handle infrastructure sizing as part of the deployment.

You do. 100%. n8n is self-hosted on your infrastructure. Workflows, configurations, models, and data are all yours. No vendor lock-in, no proprietary platforms.

A single AI workflow automation costs $15,000 to $40,000 over 4-8 weeks. Multi-workflow programs run $40,000 to $150,000. Local LLM deployment starts at $25,000. Ongoing management from $3,800/mo. Most clients see positive ROI within the first month.

Yes. We start many engagements with an automation assessment — we map your team's manual workflows, identify the highest-ROI candidates for AI automation, and scope the first deployment. Consulting engagements start at $5,000 for a 2-week assessment.

Yes. We work with US-based organizations with full US timezone overlap. Our automation engineers deploy on your infrastructure and join your team's standups. Many of our clients are US-based operations, IT, and compliance teams.