How do you handle AI governance and compliance?

Governance includes role-based access, audit logs of agent decisions, PII redaction before LLM calls, approval queues for financial or customer-facing actions, and data retention policies aligned with GDPR and PIPEDA. We document what data leaves your tenant, which models process it, and how to revoke access. SOC2-ready practices: least-privilege API keys, encrypted secrets, and environment separation.

How do you measure ROI on AI automation?

We track hours saved per workflow, error rate vs manual baseline, cost per automated task (including LLM tokens), and throughput (tickets, leads, or documents processed). Dashboards in n8n or your BI tool show weekly trends. Most clients see 20 to 40+ hours saved per week on a single ops workflow within 30 days of launch.

What maintenance is required after launch?

Ongoing maintenance covers broken integrations when SaaS APIs change, prompt tuning when models upgrade, new exception handling as edge cases appear, and embedding refreshes for document agents. Optional retainers include monthly workflow reviews, failure alerting, and cost optimization. You receive runbooks and ownership docs so your team can maintain simple flows in-house.

What is MCP and do you use it in automations?

Model Context Protocol (MCP) standardizes how AI agents connect to tools and data sources. MCP servers expose CRM records, databases, or internal APIs as structured tools the agent can call safely. We use MCP where you need reusable tool interfaces across multiple agents instead of one-off webhook spaghetti. It pairs well with n8n and custom agent orchestration.

When is human review required in agentic workflows?

Human-in-the-loop is required for refunds, contract changes, outbound sales at scale, medical or legal advice, and any action with material financial impact. We design approval Slack messages, staged drafts in CRM, and confidence thresholds that route low-confidence agent outputs to a queue. You set policies; the workflow enforces them.

How do you protect our data privacy?

Your data stays yours: we prefer your cloud tenant, self-hosted n8n, or VPC deployments when required. LLM calls use minimal context, optional Azure OpenAI or private endpoints, and no training on your data by default. Secrets live in vaults, not workflow JSON. We map subprocessors and sign DPAs where enterprise procurement requires it.

AI Automation Services ★ 4.9 · 47 reviews

AI Automation Services.
Remove Repetitive Work.

We design agentic AI workflows and AI agents on n8n, Make, and Zapier plus custom orchestration.

Get Automation Scope Call ? View Plans

120+ workflows shipped

40+ hrs/week saved

4-week launch target

Works with GPT-4o, Claude, Gemini, open-source Llama Your data stays yours Privacy-first workflows, SOC2-aligned practices, audit logs

40+

Hrs/Week Saved

99%

Accuracy

4-Wk

Launch

120+

Workflows Shipped

Models we work with (updated as releases ship)

GPT-4o Claude Sonnet Gemini Llama 3 Azure OpenAI Mistral

Automation Signals

Four Signals That Make Agentic Workflows Production-Ready.

Agentic Orchestration

Supervisor agents, retries, and branching when context or API calls fail mid-run.

n8n / Make / Zapier

Right platform per team: self-hosted n8n, visual Make, or fast Zapier MVPs.

Multi-Agent Systems

Specialized agents for research, execution, and QA on heavy ops pipelines.

Document Processing

Extract, validate, and route fields from invoices, contracts, and forms.

Tools we build with

n8n Make Zapier OpenAI Claude

Build Process

From Workflow Discovery to Production Agent in About 4 Weeks.

Week 1

Week 2

Week 4

Ongoing

Discovery & ROI Map

Process interviews, hours-saved model, tool pick (n8n vs Make), governance requirements.

Agent Design

Trigger map, prompt templates, tool list, human approval points, test cases on real samples.

Build & Integrate

n8n or Make workflows, CRM and Slack connectors, MCP servers, error alerting.

Launch & Optimize

Production cutover, ROI dashboard, prompt tuning, and runbooks for your team.

AI Automation Plans

Choose Your AI Automation Services Level.

Quote-based plans. No long-term contracts. Scoped by workflow count, agent complexity, integrations, and governance.

STARTER

Starter

One workflow ï¿½ One AI agent

?Workflow discovery & ROI map
?1 production agentic workflow
?n8n, Make, or Zapier build
?GPT / Claude agent step
?Basic audit logging
?30-day hypercare

Get Quote ?

What Professional AI Automation Services Deliver.

Hrs/Week Saved

Accuracy

0-Wk

Launch

Workflows Shipped

n8n, Make, custom agents

We spent twelve hours a week copying invoice data into QuickBooks. Groke built an n8n agent that reads email PDFs, extracts fields, and routes approvals in Slack.

Finance Director, Professional Services Firm (Canada)

FAQ

Common questions.

What is the difference between AI agents and simple automation?

Simple automation follows fixed if-then rules: when a form submits, create a row in a spreadsheet. AI agents reason over context: they read unstructured email, classify intent, draft a reply, and call CRM tools with guardrails.

n8n vs Make: which platform do you recommend?

n8n suits technical teams who want self-hosting, complex branching, and custom code nodes with lower per-run cost at scale. Make suits visual builders who want fast citizen-developer workflows and polished SaaS connectors.

How much do AI automation services cost?

AI automation is quote-based across Starter, Growth, and Scale plans depending on workflow count, AI agent complexity, integrations, and governance requirements. No fixed public pricing. Written quote within 48 hours of your discovery call. Month-to-month retainers available for monitoring and iteration.

How long does an AI automation project take?

A single high-impact workflow often ships in 2 to 4 weeks after discovery. Multi-department agentic systems with CRM, support, and document processing typically launch in 4 to 8 weeks.

What mistakes do companies make with AI automation?

Common mistakes include automating broken processes, giving agents unlimited tool access without guardrails, skipping human-in-the-loop on high-risk actions, and no ROI tracking. Teams also underestimate integration auth (OAuth refresh, API rate limits) and prompt drift when models update.

Which tools and CRMs can you integrate?

We integrate Slack, Microsoft Teams, Gmail, HubSpot, Salesforce, Pipedrive, Zendesk, Intercom, Notion, Airtable, Google Sheets, Shopify, QuickBooks, and custom REST APIs. n8n, Make, and Zapier cover hundreds of SaaS connectors; we add custom webhooks and MCP servers when off-the-shelf nodes are not enough.

Ready to Remove Repetitive Work?

Get a Free AI Automation Scope Call - Map Workflows, Agents, and ROI.

Free 30-min automation scope call. We review your processes, tool stack (n8n, Make, CRM), agent opportunities, governance needs, and timeline - and show you what a production agentic workflow looks like before any commitment.

Free automation scope call - 30 minutes, no obligation

Full scope and quote delivered within 48 hours

Month-to-month - no long-term contracts required

First workflow build starts within 5 business days of sign-off

Get Automation Scope Call ? WhatsApp Us

Average response: under 4 hours ï¿½ Serving US, UK, CA, AU

? No pitch decks ? Free 30-min call ? Quote within 48hrs

Further reading: Anthropic Research Â· OpenAI Research

AI Automation Services.Remove Repetitive Work.