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Most early-stage teams are doing manually what AI can do in seconds. We help pre-seed to Series A startups identify where automation creates real leverage, then build and deploy those systems across their operations, products, and outreach.
We don't just identify automation opportunities. We build them, deploy them, and make sure they run.
We build systems that work in the real world, with proper error handling, documentation, and monitoring from day one.
We work with the tools you already have. No forced migrations, no rip-and-replace, no unnecessary complexity.
Strategy only matters when it ships. We stay in the engagement until the system is live and running.
Riz has been an awesome, methodical mind, out of the box thinker that moves and thinks quickly. Explains his thought process and methodology clearly and provides immense value. I highly recommend Riz. Do not hesitate to engage Riz. You will not be disappointed.
We design, build, and deploy custom AI agents for startups whose teams spend hours each week on research
We design, build, and maintain custom automation systems for startups and SMBs losing time
We design and build automation systems that handle repetitive support work, route tickets correctly
We build AI-powered marketing automation systems for startups that want consistent pipeline without the manual effort behind it.
Aligned revenue operations with clean data, automated workflows, and a forecast your team actually believes.
Our clients see measurable progress, faster decisions, steadier operations, and sharper products. Here’s a glimpse of the outcomes we’ve delivered for SMBs and startups across sectors.
Analysts were spending 20+ hours a week on manual research across dozens of sources. Classification was inconsistent, the CRM was always behind, and several key sources had no API — making standard automation unworkable.
SolutionWe built a scheduled n8n pipeline using Puppeteer and Browser Use to scrape all sources, an OpenAI classification agent to categorise findings, and an automated daily digest that compiles and distributes intelligence every morning.
The content team was spending most of each week on production with almost no time left for strategy. Brand voice was inconsistent across formats and SEO was being applied after the fact rather than baked in from the start.
SolutionWe built a multi-agent n8n pipeline — an SEO Writer, a Claude-powered Humaniser, and an Editor — with brand voice stored in a Pinecone vector database so every agent retrieves the same style reference every time.
Every new product required four to six manual actions from the CS team. No error handling — if a step was missed, no one knew until a customer hit a broken link. No reliable way to see which products had forms without checking the sheet manually.
SolutionWe built an n8n workflow triggered by Google Sheets that retrieves the master Typeform template, personalises it via a JavaScript node, creates the new form via the Typeform API, and writes the link back to the tracking sheet — in under 4 seconds.
First-contact time was measured in hours. Follow-up sequences were inconsistent — some leads received all five touchpoints, others received one. Contacts were sometimes duplicated and replied leads were still receiving automated messages.
SolutionWe built two n8n workflows — an intake pipeline that fires a personalised SMS within seconds of capture, and a daily nurture sequence with reply detection that halts outreach the moment a lead responds.
Triage was manual and inconsistent. Response time varied based on who was available, not urgency. Internal docs were spread across Google Drive with no time to search. Document updates meant manually re-briefing the support team each time.
SolutionWe built a Gmail-triggered pipeline with an OpenAI classifier and a LangChain agent performing semantic search across a Supabase vector database — drafting responses directly in Gmail. A second workflow auto-ingests updated Google Drive documents.
A clear, repeatable process for deploying AI automation in your business.
