Adam L.
AI Transformation Expert | Strategy, Implementation
AI automation engineer and consultant. CRM Automations, API integrations, Document processing and document automations that replace manual work. My solutions collectively saved 300k+ hours across businesses and generated multi-7 figures. Ex-IBM Generative AI Consultant (NHS, Rolls-Royce). My systems have replaced a 4-person research team, sourced 7 figures in closed property deals, and rebuilt the forecasting that underwrites contracts at a $300M revenue media group. Around $250,000 a year of salaried work removed across those builds, and it keeps running without me. WHAT THIS USUALLY SAVES - Research and qualification: 3 to 4 minutes per record down to seconds, at any volume. On one build this took a team of 4 researchers down to 1 - Monitoring (portals, news, job boards, competitors): 15 to 20 hours a week of manual checking replaced by alerts that fire within minutes - Data entry and CRM hygiene: copying between tools removed once the API layer exists - Decision quality: forecasting and scoring models that cut the error rate on numbers the business is contractually exposed to NUMBERS FROM PAST BUILDS - Company research agents: work that took 4 full time researchers now takes 1. Roughly 6,000 analyst hours and $200,000+ in payroll per year. - Real estate deal scraper: 7 figures in sourced closed deals, plus about 20 hours a week of manual portal checking removed. - Lead qualification pipeline: ~3,300 analyst hours per full pass, completed in hours instead of weeks. - Viewership forecasting: 15% more accurate than a 20 year manual process, 52% on high confidence segments, at a business with $300M in annual revenue and refund clauses tied to those forecasts. - Job market scraper: 100,000+ companies monitored daily, a volume with no manual equivalent at any headcount. TOOLS AND TECHNOLOGIES AI and LLMs: OpenAI, Anthropic Claude, Google Gemini, Llama, Mistral, DeepSeek, function calling, tool use, MCP, structured outputs, prompt engineering, fine tuning, evals, token cost optimisation Agents and RAG: LangChain, LangGraph, LlamaIndex, CrewAI, multi agent orchestration, retrieval augmented generation, chunking, embeddings, re ranking, hybrid search, semantic search, human in the loop, confidence scoring, Pinecone, Qdrant, Weaviate, Chroma, FAISS, Supabase pgvector Automation platforms: n8n, Make, Zapier, Airtable automations and scripting CRM and business systems: Airtable, ClickUp, GoHighLevel (GHL), HubSpot, Salesforce, Pipedrive, Zoho CRM, Monday, Close, Attio, Asana, Trello, Smartsheet, Zendesk, Intercom, Slack, Discord, Google Workspace, Microsoft 365 APIs and integration: REST APIs, GraphQL, webhooks, OAuth2, JSON, XML, API authentication, rate limiting, pagination, retries and idempotency, Postman, third party API integration, reverse engineering undocumented APIs, Stripe, Twilio, SendGrid, Calendly, Cal(dot)com, Google Sheets API, Gmail API, Google Calendar API, Slack API, Zapier webhooks Data and scraping: Python, pandas, NumPy, Playwright, Selenium, BeautifulSoup, Scrapy, Firecrawl, Apify,, ETL pipelines, data cleaning, deduplication, entity resolution, PostgreSQL, MySQL, Supabase, MongoDB, BigQuery, Snowflake, data processing, SQL Backend and deployment: FastAPI, Flask, Docker, GCP, Vercel, Railway Sales and marketing systems: Instantly, Smartlead, Clay, Apollo, Lemlist, cold email infrastructure, deliverability, domain warmup, lead enrichment, ICP scoring, list building, CRM migration, sales reporting dashboards
Earnings and projects
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