AI & Automation

Intelligent automation that cuts manual work and surfaces insights your team actually uses

Built with

Python
Anthropic
OpenAI
n8n
Zapier

Technologies & tools

OpenAI OpenAI
Anthropic Anthropic
n8n n8n
Zapier Zapier
Python Python
PostgreSQL PostgreSQL
18h
saved per team per week on average

across automation workflows we've built for clients

What's included

What ai & automation includes

01

LLM Integration & Agents

Custom AI agents, RAG pipelines, and LLM-powered features integrated into your existing systems.

02

Workflow Automation

End-to-end automation of repetitive processes using n8n, Zapier, Make, or custom-built orchestration.

03

Data Pipelines

Automated data ingestion, transformation, enrichment, and routing — clean data where your team needs it.

04

Monitoring & Optimization

Alerting, usage dashboards, and continuous improvement loops so your automations stay reliable and cost-efficient.

How it works

Our process

  1. 01

    Audit & Opportunity Mapping

    We review your current workflows, identify high-ROI automation candidates, and prioritize by time saved vs implementation effort.

  2. 02

    Tool & Model Selection

    Choose the right stack — LLM provider, orchestration layer, integration tools — based on your data, budget, and compliance needs.

  3. 03

    Build & Integration

    Develop the automation, connect it to your existing tools, and run it in parallel with the manual process to validate output.

  4. 04

    Testing & Validation

    Edge case testing, accuracy benchmarking, and sign-off from the team who will rely on the automation daily.

  5. 05

    Monitoring Setup

    Alerting on failures, cost tracking per run, and a dashboard your team can use to verify the automation is working.

You might also need

Related services

Industries we serve

Built for your sector

Common questions

FAQ

We look for three things: frequency (happens at least weekly), rule-based logic (can be written as clear instructions), and meaningful time cost (takes more than 15 minutes per occurrence). Our audit surfaces your highest-ROI candidates so we start where the impact is biggest.
For most business automation use cases, costs are negligible — typically $20–200/month depending on volume. We build cost tracking into every AI workflow so you have full visibility, and we implement caching and prompt optimization to keep costs low.
We select providers and configurations appropriate to your data sensitivity. For regulated industries, we can use privacy-preserving approaches, on-premise models, or providers with appropriate data processing agreements. We review data flows explicitly before recommending a model.

Ready to start your ai & automation project?

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