Where AI pays off

Common use cases

Practical places we put AI to work—removing friction from documents, data, support, and sales so your team can focus on what matters.

01

Document Extraction & Parsing

AI reads PDFs, contracts, and invoices, extracts the structured data you need, and pushes it into your CRM, ERP, or database—no retyping.

02

Data Cleaning & Organization

Duplicate detection, categorization, and format standardization. If your team spends hours cleaning things up, this is a massive unlock.

03

Workflow Automation + AI Reasoning

Traditional automation handles rigid rules. AI handles the gray area. Combine LLM decision-making with triggers in n8n, Make, or Zapier so operations start running themselves.

04

Knowledge Agents

Your company sits on years of SOPs, manuals, and docs nobody reads. Agents search, summarize, and answer questions across all of it—instantly.

05

Customer Support

AI support agents handle a large share of inquiries with the same inputs every time: FAQs, policies, product data, and past tickets. Humans only touch the edge cases.

06

Data Enrichment & Research

Pull missing fields, categorize leads, and enrich CRM records with Clay or custom agents. Removes hours of manual research from sales and ops.

07

Reporting & Insight Generation

Instead of scrolling dashboards, AI reads your data, spots patterns, and generates weekly executive summaries—like adding an analyst to the team.

08

Document Generation

Reports, product briefs, training materials. AI fills the structure using your real data. Same quality, fraction of the time.

09

Sales Team Agents

Meeting prep, CRM auto-updates, and proposal generation. Agents that save hours per rep each week and cut proposal time dramatically.

Ready when you are

See where this fits your business.

Tell us about a process that eats time. We'll map a practical path from today's bottleneck to a working automation.