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Services

Four ways I can help — each one already shipped.

I only offer what I've built before and can show you. If your problem doesn't fit neatly, write anyway — I'll tell you honestly whether I'm the right person for it.

  1. A — Service

    AI copilots & agents for operations

    Assistants that read the request, pull the data, propose the next step — and hand anything risky to a human.

    For Teams buried in repetitive triage: support tickets, inbound leads, back-office checks, internal requests.

    What's included Proof: QueueStorm Investigator

    You get

    • Workflow mapping: which steps are rules, which need a model, which need a person
    • Integrations with your tools and APIs (including MCP servers where useful)
    • Deterministic decision logic with a model for reading and drafting
    • Output guardrails, schema validation and a fallback path for every model call
    • A test suite built from your real cases
    • Deployed service, documentation and a short handover session

  2. B — Service

    Answers from your own documents

    Search and chat grounded in your PDFs, wikis and drives — with citations people can check.

    For Organisations whose knowledge lives in documents, and teams that answer the same questions every week.

    What's included Proof: BUBT AI Assistant

    You get

    • Ingestion pipeline for your formats (PDF, DOCX, web pages, exports)
    • Chunking and embedding strategy tuned to your content
    • Vector store setup — Pinecone, ChromaDB or FAISS
    • Answers with source citations, and a clear “I don't know” path
    • An evaluation set built from questions your team actually asks
    • Chat or search UI, or an API for your existing product

  3. C — Service

    Forecasts & customer intelligence

    Demand forecasts, customer segments and churn risk from the sales data you already have.

    For E-commerce and small businesses with a few years of orders and no data team.

    What's included Proof: SellWise

    You get

    • Data audit and cleanup of your orders, customers and products
    • Sales forecasting at the horizons you plan around
    • RFM segmentation and churn-risk scoring
    • Models served from an API you can retrain on new data
    • A dashboard — or the numbers wired into the tools you use

  4. D — Service

    AI-native MVPs, end to end

    The whole product — interface, backend, database and AI features — from one engineer who owns all of it.

    For Founders who need a working product to put in front of users, not a model in a notebook.

    What's included Proof: Axo

    You get

    • Product scoping: the smallest version worth launching
    • Frontend in Next.js or React
    • Backend in Node.js or FastAPI with PostgreSQL
    • LLM features with structured output, validation and cost controls
    • Deployment, analytics hooks and documentation

How engagements run

Small scope, weekly demos, no surprises.

  1. 01

    Intro call

    30 minutes, free. You walk me through the workflow; I ask about your data, your systems and what “done” means.

  2. 02

    Written scope

    A short document: what gets built, what's explicitly out, milestones, and a price. No surprises later.

  3. 03

    Build in the open

    A demo on a live staging URL every week. You see working software, not status reports.

  4. 04

    Handover

    Your repository, deployment, documentation and tests. Support after launch if you want it.

Next step

Have a workflow that should run itself?

Tell me what it is, what data it touches and what “done” looks like. You'll get a straight answer on whether AI is the right tool — and what it would take.

Start a project

Free 30-min intro callReplies within 24h