Prakash R.

I'm Prakash, a MarTech and AI automation architect for 8-figure companies. Most of my clients come to me because their teams spend hours on work a system should handle: moving data between tools, reconciling numbers that don’t match, rebuilding the same reports every week, or wanting AI agents that act on their data, not just report on it. I connect your marketing, CRM, ops and finance data into one source of truth, then build the automations and AI agents that act on it. 𝐖𝐇𝐎 𝐈 𝐖𝐎𝐑𝐊 𝐖𝐈𝐓𝐇 - Multi-location service businesses doing $10M+ a year (home services, legal, field services) - Ecommerce and DTC brands doing $10M+ a year or spending $100K+ a month on ads - Agencies with 25+ client accounts scaling delivery with automation, not headcount I usually work with a CMO, VP of Marketing, Head of Growth or COO: the person who owns the number and the budget to fix it. Not a fit: one-off tag fixes or projects under $5K. 𝐖𝐇𝐀𝐓 𝐈 𝐃𝐄𝐋𝐈𝐕𝐄𝐑 1. 𝙊𝙣𝙚 𝙫𝙚𝙧𝙨𝙞𝙤𝙣 𝙤𝙛 𝙩𝙝𝙚 𝙣𝙪𝙢𝙗𝙚𝙧𝙨 When marketing, finance and the ad platforms each report a different number, every budget meeting turns into a debate. - Pipelines from ad platforms, CRM, ecommerce and ops systems into your warehouse (BigQuery, Snowflake, SAP Datasphere) - Modeled tables for leads, pipeline, revenue and CAC by channel, location and brand - Automated data-quality checks that catch a bad week before leadership sees it Result: one set of numbers that marketing and finance both sign off on, refreshed automatically. 2. 𝘼𝙩𝙩𝙧𝙞𝙗𝙪𝙩𝙞𝙤𝙣 𝙩𝙞𝙚𝙙 𝙩𝙤 𝙧𝙚𝙫𝙚𝙣𝙪𝙚 Ad platforms optimize for whatever you tell them is a conversion. If that's a form fill, you're buying cheap leads, not customers. - Lead-to-revenue tracking: forms, calls and bookings through the CRM to closed revenue - Offline conversion import, enhanced conversions and the Meta Conversions API, so Google and Meta optimize on revenue - Server-side tracking and Consent Mode v2, so measurement holds up through browser and privacy changes Result: budget flows to the channels and locations that produce revenue. 3. 𝘼𝙄 𝙖𝙜𝙚𝙣𝙩𝙨 𝙩𝙝𝙖𝙩 𝙩𝙖𝙠𝙚 𝙬𝙤𝙧𝙠 𝙤𝙛𝙛 𝙮𝙤𝙪𝙧 𝙩𝙚𝙖𝙢 - Claude-based agents that take a plain-language request, carry out multi-step work and stop for approval before anything goes live, with a full audit log - Example: I built and run an agent that handles code changes, preview deployments and technical SEO fixes across a portfolio of client websites, so the team ships changes without waiting on developers - Good targets: recurring reporting, data entry between systems, QA checks, lead routing and follow-up Result: hours back every week and faster execution, without giving up control. 4. 𝙄𝙣𝙩𝙚𝙜𝙧𝙖𝙩𝙞𝙤𝙣 𝙖𝙘𝙧𝙤𝙨𝙨 𝙢𝙖𝙧𝙠𝙚𝙩𝙞𝙣𝙜 𝙖𝙣𝙙 𝙚𝙣𝙩𝙚𝙧𝙥𝙧𝙞𝙨𝙚 𝙨𝙮𝙨𝙩𝙚𝙢𝙨 - Connecting CRMs and ops platforms (GoHighLevel, HubSpot, FieldRoutes, FileMaker, Clio, Shopify) to your warehouse and ERP - Enterprise integration with SAP Integration Suite, SAP Datasphere and Snowflake - Platform migrations that keep data history and automations intact, such as FileMaker to GoHighLevel Result: data moves on its own. No CSV exports, no re-keying. 𝐇𝐎𝐖 𝐀𝐍 𝐄𝐍𝐆𝐀𝐆𝐄𝐌𝐄𝐍𝐓 𝐑𝐔𝐍𝐒 1. Diagnostic (2–3 weeks, fixed fee): I map your tools, data flows and manual work, put a dollar figure on the gaps, and hand you a prioritized roadmap. You own it whether or not we continue. 2. Build (fixed-price milestones): each milestone ends with something running in production and a measurable result, such as "CRM revenue and Google Ads conversions reconcile within 5%." 3. Operate (optional retainer): monitoring, data-quality alerts, agent improvements and a monthly review with leadership. 𝐇𝐎𝐖 𝐈 𝐖𝐎𝐑𝐊 - Executive summaries in plain English: what's broken, what it costs, what to fix first - Least-privilege access, read-only by default, NDA and data-handling terms before any real data - Everything runs in your cloud and your repositories, documented with architecture diagrams, runbooks and change logs so your team can run it without me - Async, with a weekly call and overlap with US business hours 𝐓𝐎𝐎𝐋𝐒 𝐀𝐍𝐃 𝐏𝐋𝐀𝐓𝐅𝐎𝐑𝐌𝐒 Cloud & data: Google Cloud (GCP), AWS, Microsoft Azure, BigQuery, Snowflake, SAP Datasphere, SAP Integration Suite, SQL, Python AI & automation: Claude API, Claude Code, MCP, AI agents, n8n, REST APIs, webhooks Marketing & measurement: Google Ads, Meta Ads, Meta Conversions API, GA4, Google Tag Manager (server-side), Stape, Cloudflare Zaraz, Consent Mode v2, Ahrefs CRM & ops: GoHighLevel, HubSpot, Klaviyo, Shopify, FieldRoutes, FileMaker, Clio Reporting & delivery: Looker Studio, Power BI, Connected Sheets, GitHub, Vercel, DigitalOcean If your numbers don't agree, or your team is doing by hand what a system should be doing, send me: - Your revenue range and the tools you run - What's broken or slow right now I'll tell you honestly whether I'm the right fit.