Customer support bot
Answers product and service questions from your website or app, 24/7, without a human in the loop.
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ServicesThree things we build well.
We stay focused on these areas so we can do them properly. If your problem fits one of these categories, there's a good chance we can help.
01
AI Chatbot & Assistant
A chatbot that knows your business — trained on your documentation, products, processes, or data. Handles questions that currently go to your team, your inbox, or just go unanswered.
Internal knowledge assistant
Staff ask questions in plain English and get answers from internal policies, manuals, and procedures — no more folder hunting.
Product Q&A
Guides customers through product selection or troubleshooting, reducing support load and improving conversion.
Tech: RAG (retrieval-augmented generation) · Document indexing & embeddings · Web & app integration · Slack / Teams integration
02
Workflow Automation
Replace the manual, repetitive work with AI-powered automation. We map the process, identify where AI adds value, and build something that runs without anyone having to babysit it.
Document processing
Extract structured data from invoices, contracts, or PDFs at scale — into spreadsheets, databases, or downstream systems.
Report generation
Automatically produce formatted reports from raw data — weekly, daily, or on demand.
Email & task triage
Classify, route, or draft responses to incoming emails and tickets based on content and priority.
Tech: LLM-based extraction & classification · API integrations · Scheduled automation · Structured output pipelines
03
Data Pipeline & Integration
Get your data into a shape that AI — or your team — can actually use. This means connecting sources, cleaning the mess, enforcing quality, and delivering reliable outputs.
Data consolidation
Combine data from multiple systems (CRM, ERP, spreadsheets, APIs) into one reliable, queryable source.
ETL & transformation
Clean, deduplicate, and transform raw data into structured, analytics-ready formats.
AI-ready data prep
Prepare training data, build retrieval indexes, or set up the data layer an AI application needs to function correctly.
Tech: ETL pipeline build · Cloud data platforms (AWS / Azure / GCP) · API & database integration · Data quality checks
Not sure which fits?
Bring the problem, not the solution. We'll figure out the right approach together.
Most clients don't come to us knowing exactly what they need. They come with a process that's slowing them down or a question their data should be able to answer. That's the right starting point.