melwyn.ai

melwyn Lab

AI automation, done for you

We design, build, and deploy custom AI automations for your business. You get the system and the knowledge to own it.

what we build

Concrete automations, scoped to your role.

We don't sell a platform. We build the specific things that eat your team's week. Here's the kind of work, by the people who usually ask for it.

Operations Leader

  • Automated weekly status report generation from project data
  • Meeting transcript summarisation and action-item extraction
  • SOP documentation generation from recorded process walkthroughs

Technology Leader

  • AI-assisted code review that flags patterns before human review
  • Automatic docstring and changelog generation from git diffs
  • Test scaffolding generated from function signatures and type contracts

Founder & Executive

  • Personalised outbound sequences generated from prospect and company data
  • Content repurposing pipeline that turns one idea into ten distribution assets
  • Automated competitor monitoring with weekly digest summaries

People & HR Leader

  • Role-specific JD generation from competency frameworks in minutes
  • Onboarding guide creation from process recordings and team wikis
  • Structured interview guide generation aligned to role requirements

Finance Leader

  • Automated narrative generation for financial reports from structured data
  • Variance analysis commentary drafted from actuals-vs-budget tables
  • Board presentation prep with AI-generated talking points and Q&A anticipation
Selected work

Real systems, not slideware

A few things we have actually built. Open one to walk the pipeline stage by stage and see where the hours go.

Scrape
Analyze
Trends
Alert
Share
Results
Competitive intelligence

Competitors Dashboard

A competitor tracking dashboard that watches 50 social accounts, reads the patterns, and pings the team the moment a rival post breaks out.

Built in-house for a content teamExplore the build
Capture
Analyze
Route
Share
Results
Revenue intelligence

Sales Demo Analyzer

An automation that reads every sales demo transcript and posts the insights product and marketing each need straight into Slack. Fully automatic, no data silos.

Built in-house for a GTM teamExplore the build
Collect
Transcribe
Score
Coach
Optimize
Revenue operations

Lead Quality Engine

A nightly engine that reads every lead's calls and chats, scores how well the team handled it on a 100-point card, and feeds quality back into ad targeting.

Built in-house for a sales operations teamExplore the build
Spend
Revenue
Match
Report
Results
Marketing analytics

Ad Spend to Revenue

A daily sync that joins ad spend with closed revenue from the CRM, so the question every campaign should answer becomes one report.

Built in-house for a growth teamExplore the build
Snapshot
Analyze
Detect
Report
Results
Reputation monitoring

Local Reputation Monitor

A daily watch on maps ratings and reviews across every location and competitor, with AI sentiment and an alert the moment something turns.

Built in-house for a brand teamExplore the build
Gather
Filter
Score
Digest
Results
Procurement intelligence

Tender Monitor

A daily monitor that fans out to incompatible procurement portals, dedupes the firehose, and lets AI score only the survivors into one ranked email.

Built in-house for a business development teamExplore the build
Index
Read
Match
Export
Data engineering

Document Intelligence

A pipeline that reads ~29k scanned, image-only PDF reports with OCR to extract a fact the structured data leaves blank, then exports a workbook.

Built in-house for a market research teamExplore the build
Gather
Draft
Review
Publish
Results
Content operations

Content Engine

An engine that gathers the day's material, drafts a post with AI, routes it to chat for a one-tap approval, and only then publishes across channels.

Built in-house for a marketing teamExplore the build

More on the bench

We are writing up more of the builds, ours and a few from people close to us. New ones land here as we ship them.

How we work

Scope

From single workflow to full system

Whether you need one automation or an end-to-end AI pipeline, we scope to what your business actually needs, not what looks impressive in a proposal.

Delivery

Shipped and documented

Every automation we build is deployed to your stack, documented for your team, and tested against your real data before handoff.

Stack

Your tools, not ours

We work with the tools you already use: Slack, Notion, HubSpot, Airtable, Google Workspace. No new software subscriptions required.

The engagement

From map to handoff

  1. 01

    Opportunity map

    We start by mapping your highest-value AI opportunities, using your role, industry, and team context to identify where automation creates real leverage.

  2. 02

    Scoped proposal

    You receive a specific scope document: what gets built, what stack it runs on, what the trigger/output looks like, and what it replaces.

  3. 03

    Build sprint

    We build in two-week sprints with regular check-ins. You see working automations, not slide decks.

  4. 04

    Handoff & documentation

    We hand over the automation, documentation, and a walkthrough so your team can own, extend, and monitor it independently.

how we work

Fixed scope, real handoff, no lock-in.

You own everything we build: it runs on your stack, in your accounts, documented well enough that your team can extend it without us. We'd rather you outgrow us than depend on us.

Questions
Do we have to switch tools?

No. We build on the stack you already run: Slack, Notion, HubSpot, Airtable, Google Workspace, your own APIs. No new subscriptions required.

Who owns what you build?

You do, fully. It runs in your accounts and your stack, with documentation and a walkthrough so your team can own, extend, and monitor it independently.

How long does an engagement take?

We build in two-week sprints with regular check-ins. A single workflow can ship in one sprint; a full pipeline scopes to what your business actually needs.

What if we want to learn it ourselves?

That's Class. Many teams do both: we build the first system in Lab, then train the team to build the next ten themselves.

Let’s map your opportunities