AI agents and workflow automation that take repetitive work off your team's plate, from customer support to lead follow-up.
Overview
AI agents and automation built around tasks your team already does.
Customer-facing and internal assistants trained on your own content, not a generic script.
Automate the repetitive back-office tasks eating into your team's time.
Score, route, and follow up on incoming leads automatically.
Embed AI features directly into your existing product or internal tools.
Services
From a single automated workflow to a fully embedded AI assistant.
An assistant trained on your actual business content (FAQs, docs, and policies) that answers accurately instead of guessing.
Handles FAQs and routing across your website and channels.
Answers your team's day-to-day questions on demand.
Grounded in your own docs, not generic answers.
Website, WhatsApp, or email, wherever your customers already are.
Technology
Built with technologies chosen for reliability and clean integration with your existing systems.
Python
Node.js
Express.js
Flask
Django
React
Next.js
PostgreSQL
MongoDB
Supabase
Amazon S3
Vercel
RenderFAQ
Straight answers to what clients usually ask before we start.
Anything repetitive and rule-based is a good candidate, lead routing, data entry between systems, follow-up messages, support ticket triage, and report generation are common starting points. During a scoping call, we help identify where automation gives you the most time back.
Both, depending on the task. Sometimes the right answer is integrating an existing LLM provider into your workflow; other times it's a custom-built agent or automation. We recommend whichever gets you a reliable result, not the most complex option.
Only what's needed, and only with clear boundaries you approve upfront. We design integrations with access control in mind rather than granting broad, unrestricted access by default.
A single automated workflow can often be built in a few weeks. Larger, multi-step automation or a custom AI assistant typically takes longer, depending on how many systems it needs to connect to.
We build in review steps and fallbacks for anything customer-facing or high-stakes, so a human stays in the loop where it matters, rather than letting automation run unchecked.
Yes, we monitor and refine automations after launch, since real-world usage often reveals edge cases worth handling better.
Now taking new projects
Share a few details about what you’re trying to build, and we’ll follow up with clear next steps, with no obligation, and no matter which time zone you’re in.
